tensor_flow-example-07-learning_rate,evaluation,MNIST.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = tf.placeholder('float',[None,3])\n",
    "Y = tf.placeholder('float',[None,3])\n",
    "W = tf.Variable(tf.random_normal([3,3]))\n",
    "b = tf.Variable(tf.random_normal([3]))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_data = [[1, 2, 1], [1, 3, 2], [1, 3, 4], [1, 5, 5], [1, 7, 5], [1, 2, 5], [1, 6, 6], [1, 7, 7]]\n",
    "y_data = [[0, 0, 1], [0, 0, 1], [0, 0, 1], [0, 1, 0], [0, 1, 0], [0, 1, 0], [1, 0, 0], [1, 0, 0]]\n",
    "\n",
    "# Evaluation our model using this test dataset\n",
    "x_test = [[2, 1, 1], [3, 1, 2], [3, 3, 4]]\n",
    "y_test = [[0, 0, 1], [0, 0, 1], [0, 0, 1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "hypothesis = tf.nn.softmax(tf.matmul(X,W)+b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "cost = tf.reduce_mean(-tf.reduce_sum(Y*tf.log(hypothesis),axis = 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "optimizer = tf.train.GradientDescentOptimizer(learning_rate = 1e-10).minimize(cost)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "prediction = tf.arg_max(hypothesis,1)\n",
    "is_correct = tf.equal(prediction,tf.arg_max(Y,1))\n",
    "accuracy = tf.reduce_mean(tf.cast(is_correct,tf.float32))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "1 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "2 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "3 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "4 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "5 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "6 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "7 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "8 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "9 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "10 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "11 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "12 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "13 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "14 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "15 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "16 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "17 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "18 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "19 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "20 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "21 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "22 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "23 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "24 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "25 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "26 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "27 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "28 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "29 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "30 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "31 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "32 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "33 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "34 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "35 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "36 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "37 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "38 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "39 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "40 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "41 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "42 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "43 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "44 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "45 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "46 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "47 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "48 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "49 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "50 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "51 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "52 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "53 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "54 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "55 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "56 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "57 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "58 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "59 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "60 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "61 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "62 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "63 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "64 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "65 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "66 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "67 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "68 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "69 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "70 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "71 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "72 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "73 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "74 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "75 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "76 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "77 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "78 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "79 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "80 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "81 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "82 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "83 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "84 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "85 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "86 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "87 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "88 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "89 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "90 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "91 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "92 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "93 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "94 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "95 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "96 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "97 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "98 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "99 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "100 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "101 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "102 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "103 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "104 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "105 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "106 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "107 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "108 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "109 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "110 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "111 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "112 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "113 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "114 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "115 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "116 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "117 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "118 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "119 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "120 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "121 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "122 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "123 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "124 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "125 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "126 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "127 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "128 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "129 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "130 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "131 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "132 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "133 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "134 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "135 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "136 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "137 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "138 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "139 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "140 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "141 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "142 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "143 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "144 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "145 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "146 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "147 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "148 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "149 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "150 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "151 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "152 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "153 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "154 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "155 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "156 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "157 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "158 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "159 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "160 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "161 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "162 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "163 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "164 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "165 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "166 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "167 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "168 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "169 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "170 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "171 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "172 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "173 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "174 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "175 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "176 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "177 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "178 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "179 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "180 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "181 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "182 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "183 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "184 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "185 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "186 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "187 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "188 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "189 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "190 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "191 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "192 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "193 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "194 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "195 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "196 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "197 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "198 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "199 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "200 2.47186 [[ 1.03993571 -1.24170744  0.06894785]\n",
      " [-1.51613081 -0.36425462 -1.03614438]\n",
      " [ 0.11155223  0.23920169 -0.2346857 ]]\n",
      "Prediction: [2 0 0]\n",
      "Accuracy: 0.333333\n"
     ]
    }
   ],
   "source": [
    "with tf.Session() as sess:\n",
    "    sess.run(tf.global_variables_initializer())\n",
    "    for step in range(201):\n",
    "        cost_val,W_val,_ = sess.run([cost,W,optimizer],feed_dict = {X:x_data,Y:y_data})\n",
    "        print(step,cost_val,W_val)\n",
    "        \n",
    "    print('Prediction:',sess.run(prediction,feed_dict = {X:x_test}))\n",
    "    print('Accuracy:',sess.run(accuracy,feed_dict = {X:x_test,Y:y_test}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "xy = np.array([[828.659973, 833.450012, 908100, 828.349976, 831.659973],\n",
    "              [823.02002, 828.070007, 1828100, 821.655029, 828.070007],\n",
    "              [819.929993, 824.400024, 1438100, 818.97998, 824.159973],\n",
    "              [816, 820.958984, 1008100, 815.48999, 819.23999],\n",
    "              [819.359985, 823, 1188100, 818.469971, 818.97998],\n",
    "              [819, 823, 1198100, 816, 820.450012],\n",
    "              [811.700012, 815.25, 1098100, 809.780029, 813.669983],\n",
    "              [809.51001, 816.659973, 1398100, 804.539978, 809.559998]])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "def min_max_scaler(data):\n",
    "    numerator = data - np.min(data,0)\n",
    "    denominator = np.max(data,0) - np.min(data,0)\n",
    "    return numerator/ (denominator + 1e-7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "xy = min_max_scaler(xy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 Cost:  5.40208 \n",
      "Prediction:\n",
      " [[-1.77700186]\n",
      " [-1.24087489]\n",
      " [-1.57331562]\n",
      " [-1.99197888]\n",
      " [-1.75290132]\n",
      " [-1.90192163]\n",
      " [-2.05554676]\n",
      " [-2.18680096]]\n",
      "1 Cost:  5.40169 \n",
      "Prediction:\n",
      " [[-1.77688861]\n",
      " [-1.24076438]\n",
      " [-1.57322264]\n",
      " [-1.99190569]\n",
      " [-1.75281572]\n",
      " [-1.90183866]\n",
      " [-2.0554893 ]\n",
      " [-2.18674421]]\n",
      "2 Cost:  5.4013 \n",
      "Prediction:\n",
      " [[-1.77677548]\n",
      " [-1.24065399]\n",
      " [-1.57312965]\n",
      " [-1.99183249]\n",
      " [-1.75273001]\n",
      " [-1.90175581]\n",
      " [-2.0554316 ]\n",
      " [-2.18668747]]\n",
      "3 Cost:  5.40091 \n",
      "Prediction:\n",
      " [[-1.77666223]\n",
      " [-1.24054348]\n",
      " [-1.57303679]\n",
      " [-1.99175942]\n",
      " [-1.75264442]\n",
      " [-1.90167284]\n",
      " [-2.05537415]\n",
      " [-2.18663073]]\n",
      "4 Cost:  5.40052 \n",
      "Prediction:\n",
      " [[-1.7765491 ]\n",
      " [-1.24043298]\n",
      " [-1.57294393]\n",
      " [-1.99168622]\n",
      " [-1.75255871]\n",
      " [-1.90158999]\n",
      " [-2.05531645]\n",
      " [-2.18657398]]\n",
      "5 Cost:  5.40013 \n",
      "Prediction:\n",
      " [[-1.77643585]\n",
      " [-1.24032247]\n",
      " [-1.57285094]\n",
      " [-1.99161315]\n",
      " [-1.752473  ]\n",
      " [-1.90150714]\n",
      " [-2.05525899]\n",
      " [-2.18651724]]\n",
      "6 Cost:  5.39973 \n",
      "Prediction:\n",
      " [[-1.77632272]\n",
      " [-1.24021196]\n",
      " [-1.57275796]\n",
      " [-1.99153996]\n",
      " [-1.7523874 ]\n",
      " [-1.90142417]\n",
      " [-2.05520153]\n",
      " [-2.18646049]]\n",
      "7 Cost:  5.39934 \n",
      "Prediction:\n",
      " [[-1.77620947]\n",
      " [-1.24010158]\n",
      " [-1.57266498]\n",
      " [-1.99146676]\n",
      " [-1.75230169]\n",
      " [-1.9013412 ]\n",
      " [-2.05514383]\n",
      " [-2.18640375]]\n",
      "8 Cost:  5.39895 \n",
      "Prediction:\n",
      " [[-1.77609634]\n",
      " [-1.23999107]\n",
      " [-1.57257211]\n",
      " [-1.99139357]\n",
      " [-1.7522161 ]\n",
      " [-1.90125835]\n",
      " [-2.05508637]\n",
      " [-2.18634701]]\n",
      "9 Cost:  5.39856 \n",
      "Prediction:\n",
      " [[-1.7759831 ]\n",
      " [-1.23988056]\n",
      " [-1.57247913]\n",
      " [-1.99132049]\n",
      " [-1.75213051]\n",
      " [-1.9011755 ]\n",
      " [-2.05502892]\n",
      " [-2.18629026]]\n",
      "10 Cost:  5.39817 \n",
      "Prediction:\n",
      " [[-1.77586997]\n",
      " [-1.23977017]\n",
      " [-1.57238626]\n",
      " [-1.9912473 ]\n",
      " [-1.75204492]\n",
      " [-1.90109253]\n",
      " [-2.05497122]\n",
      " [-2.18623352]]\n",
      "11 Cost:  5.39777 \n",
      "Prediction:\n",
      " [[-1.77575672]\n",
      " [-1.23965979]\n",
      " [-1.57229328]\n",
      " [-1.9911741 ]\n",
      " [-1.7519592 ]\n",
      " [-1.90100968]\n",
      " [-2.05491376]\n",
      " [-2.18617678]]\n",
      "12 Cost:  5.39738 \n",
      "Prediction:\n",
      " [[-1.77564359]\n",
      " [-1.23954928]\n",
      " [-1.5722003 ]\n",
      " [-1.99110103]\n",
      " [-1.75187361]\n",
      " [-1.90092683]\n",
      " [-2.05485606]\n",
      " [-2.18612003]]\n",
      "13 Cost:  5.39699 \n",
      "Prediction:\n",
      " [[-1.77553034]\n",
      " [-1.23943877]\n",
      " [-1.57210732]\n",
      " [-1.99102783]\n",
      " [-1.7517879 ]\n",
      " [-1.90084386]\n",
      " [-2.0547986 ]\n",
      " [-2.18606329]]\n",
      "14 Cost:  5.3966 \n",
      "Prediction:\n",
      " [[-1.77541721]\n",
      " [-1.23932838]\n",
      " [-1.57201433]\n",
      " [-1.99095464]\n",
      " [-1.75170231]\n",
      " [-1.90076089]\n",
      " [-2.05474091]\n",
      " [-2.18600655]]\n",
      "15 Cost:  5.39621 \n",
      "Prediction:\n",
      " [[-1.77530408]\n",
      " [-1.23921788]\n",
      " [-1.57192147]\n",
      " [-1.99088144]\n",
      " [-1.7516166 ]\n",
      " [-1.90067816]\n",
      " [-2.05468345]\n",
      " [-2.1859498 ]]\n",
      "16 Cost:  5.39582 \n",
      "Prediction:\n",
      " [[-1.77519083]\n",
      " [-1.23910749]\n",
      " [-1.5718286 ]\n",
      " [-1.99080837]\n",
      " [-1.751531  ]\n",
      " [-1.90059519]\n",
      " [-2.05462599]\n",
      " [-2.18589306]]\n",
      "17 Cost:  5.39542 \n",
      "Prediction:\n",
      " [[-1.7750777 ]\n",
      " [-1.23899698]\n",
      " [-1.57173562]\n",
      " [-1.99073517]\n",
      " [-1.75144529]\n",
      " [-1.90051234]\n",
      " [-2.05456829]\n",
      " [-2.18583632]]\n",
      "18 Cost:  5.39503 \n",
      "Prediction:\n",
      " [[-1.77496457]\n",
      " [-1.23888659]\n",
      " [-1.57164264]\n",
      " [-1.9906621 ]\n",
      " [-1.7513597 ]\n",
      " [-1.90042937]\n",
      " [-2.05451083]\n",
      " [-2.18577957]]\n",
      "19 Cost:  5.39464 \n",
      "Prediction:\n",
      " [[-1.77485132]\n",
      " [-1.23877597]\n",
      " [-1.57154977]\n",
      " [-1.9905889 ]\n",
      " [-1.75127411]\n",
      " [-1.90034652]\n",
      " [-2.05445337]\n",
      " [-2.18572283]]\n",
      "20 Cost:  5.39425 \n",
      "Prediction:\n",
      " [[-1.77473819]\n",
      " [-1.23866558]\n",
      " [-1.57145679]\n",
      " [-1.99051571]\n",
      " [-1.75118852]\n",
      " [-1.90026367]\n",
      " [-2.05439568]\n",
      " [-2.18566608]]\n",
      "21 Cost:  5.39386 \n",
      "Prediction:\n",
      " [[-1.77462506]\n",
      " [-1.23855519]\n",
      " [-1.57136393]\n",
      " [-1.99044263]\n",
      " [-1.75110292]\n",
      " [-1.9001807 ]\n",
      " [-2.05433822]\n",
      " [-2.18560934]]\n",
      "22 Cost:  5.39347 \n",
      "Prediction:\n",
      " [[-1.77451205]\n",
      " [-1.23844481]\n",
      " [-1.57127094]\n",
      " [-1.99036956]\n",
      " [-1.75101733]\n",
      " [-1.90009785]\n",
      " [-2.05428052]\n",
      " [-2.1855526 ]]\n",
      "23 Cost:  5.39308 \n",
      "Prediction:\n",
      " [[-1.77439904]\n",
      " [-1.23833442]\n",
      " [-1.5711782 ]\n",
      " [-1.99029636]\n",
      " [-1.75093174]\n",
      " [-1.90001512]\n",
      " [-2.05422306]\n",
      " [-2.18549585]]\n",
      "24 Cost:  5.39268 \n",
      "Prediction:\n",
      " [[-1.77428603]\n",
      " [-1.23822415]\n",
      " [-1.57108533]\n",
      " [-1.99022341]\n",
      " [-1.75084615]\n",
      " [-1.89993227]\n",
      " [-2.0541656 ]\n",
      " [-2.18543911]]\n",
      "25 Cost:  5.39229 \n",
      "Prediction:\n",
      " [[-1.77417302]\n",
      " [-1.23811388]\n",
      " [-1.57099247]\n",
      " [-1.99015021]\n",
      " [-1.75076056]\n",
      " [-1.89984941]\n",
      " [-2.05410814]\n",
      " [-2.18538237]]\n",
      "26 Cost:  5.3919 \n",
      "Prediction:\n",
      " [[-1.77406001]\n",
      " [-1.23800349]\n",
      " [-1.57089972]\n",
      " [-1.99007714]\n",
      " [-1.75067496]\n",
      " [-1.89976668]\n",
      " [-2.05405045]\n",
      " [-2.18532562]]\n",
      "27 Cost:  5.39151 \n",
      "Prediction:\n",
      " [[-1.773947  ]\n",
      " [-1.2378931 ]\n",
      " [-1.57080674]\n",
      " [-1.99000406]\n",
      " [-1.75058961]\n",
      " [-1.89968383]\n",
      " [-2.05399299]\n",
      " [-2.18526912]]\n",
      "28 Cost:  5.39112 \n",
      "Prediction:\n",
      " [[-1.77383399]\n",
      " [-1.23778284]\n",
      " [-1.570714  ]\n",
      " [-1.98993087]\n",
      " [-1.75050402]\n",
      " [-1.89960098]\n",
      " [-2.05393553]\n",
      " [-2.18521214]]\n",
      "29 Cost:  5.39073 \n",
      "Prediction:\n",
      " [[-1.77372098]\n",
      " [-1.23767257]\n",
      " [-1.57062125]\n",
      " [-1.98985791]\n",
      " [-1.75041842]\n",
      " [-1.89951825]\n",
      " [-2.05387783]\n",
      " [-2.18515563]]\n",
      "30 Cost:  5.39034 \n",
      "Prediction:\n",
      " [[-1.77360809]\n",
      " [-1.23756218]\n",
      " [-1.57052827]\n",
      " [-1.98978484]\n",
      " [-1.75033295]\n",
      " [-1.8994354 ]\n",
      " [-2.05382037]\n",
      " [-2.18509889]]\n",
      "31 Cost:  5.38995 \n",
      "Prediction:\n",
      " [[-1.77349508]\n",
      " [-1.23745203]\n",
      " [-1.57043552]\n",
      " [-1.98971176]\n",
      " [-1.75024736]\n",
      " [-1.89935255]\n",
      " [-2.05376291]\n",
      " [-2.18504214]]\n",
      "32 Cost:  5.38956 \n",
      "Prediction:\n",
      " [[-1.77338207]\n",
      " [-1.23734164]\n",
      " [-1.57034266]\n",
      " [-1.98963857]\n",
      " [-1.75016189]\n",
      " [-1.89926982]\n",
      " [-2.05370522]\n",
      " [-2.1849854 ]]\n",
      "33 Cost:  5.38917 \n",
      "Prediction:\n",
      " [[-1.77326918]\n",
      " [-1.23723125]\n",
      " [-1.57024992]\n",
      " [-1.98956561]\n",
      " [-1.75007629]\n",
      " [-1.89918709]\n",
      " [-2.05364776]\n",
      " [-2.18492866]]\n",
      "34 Cost:  5.38877 \n",
      "Prediction:\n",
      " [[-1.77315617]\n",
      " [-1.23712099]\n",
      " [-1.57015705]\n",
      " [-1.98949254]\n",
      " [-1.7499907 ]\n",
      " [-1.89910412]\n",
      " [-2.0535903 ]\n",
      " [-2.18487191]]\n",
      "35 Cost:  5.38838 \n",
      "Prediction:\n",
      " [[-1.77304316]\n",
      " [-1.23701072]\n",
      " [-1.57006419]\n",
      " [-1.98941946]\n",
      " [-1.74990535]\n",
      " [-1.89902139]\n",
      " [-2.05353284]\n",
      " [-2.18481517]]\n",
      "36 Cost:  5.38799 \n",
      "Prediction:\n",
      " [[-1.77293015]\n",
      " [-1.23690033]\n",
      " [-1.56997132]\n",
      " [-1.98934627]\n",
      " [-1.74981976]\n",
      " [-1.89893854]\n",
      " [-2.05347514]\n",
      " [-2.18475842]]\n",
      "37 Cost:  5.3876 \n",
      "Prediction:\n",
      " [[-1.77281713]\n",
      " [-1.23678994]\n",
      " [-1.56987858]\n",
      " [-1.98927331]\n",
      " [-1.74973416]\n",
      " [-1.89885581]\n",
      " [-2.05341768]\n",
      " [-2.18470168]]\n",
      "38 Cost:  5.38721 \n",
      "Prediction:\n",
      " [[-1.77270424]\n",
      " [-1.23667967]\n",
      " [-1.56978583]\n",
      " [-1.98920023]\n",
      " [-1.74964869]\n",
      " [-1.89877295]\n",
      " [-2.05336022]\n",
      " [-2.18464494]]\n",
      "39 Cost:  5.38682 \n",
      "Prediction:\n",
      " [[-1.77259123]\n",
      " [-1.2365694 ]\n",
      " [-1.56969285]\n",
      " [-1.98912716]\n",
      " [-1.7495631 ]\n",
      " [-1.89869022]\n",
      " [-2.05330276]\n",
      " [-2.18458819]]\n",
      "40 Cost:  5.38643 \n",
      "Prediction:\n",
      " [[-1.77247822]\n",
      " [-1.23645902]\n",
      " [-1.56960011]\n",
      " [-1.98905408]\n",
      " [-1.74947762]\n",
      " [-1.89860737]\n",
      " [-2.05324507]\n",
      " [-2.18453145]]\n",
      "41 Cost:  5.38604 \n",
      "Prediction:\n",
      " [[-1.77236533]\n",
      " [-1.23634887]\n",
      " [-1.56950724]\n",
      " [-1.98898101]\n",
      " [-1.74939203]\n",
      " [-1.89852452]\n",
      " [-2.05318761]\n",
      " [-2.18447471]]\n",
      "42 Cost:  5.38565 \n",
      "Prediction:\n",
      " [[-1.77225232]\n",
      " [-1.23623848]\n",
      " [-1.5694145 ]\n",
      " [-1.98890781]\n",
      " [-1.74930644]\n",
      " [-1.89844179]\n",
      " [-2.05313015]\n",
      " [-2.18441796]]\n",
      "43 Cost:  5.38526 \n",
      "Prediction:\n",
      " [[-1.77213931]\n",
      " [-1.23612809]\n",
      " [-1.56932163]\n",
      " [-1.98883486]\n",
      " [-1.74922097]\n",
      " [-1.89835894]\n",
      " [-2.05307245]\n",
      " [-2.18436122]]\n",
      "44 Cost:  5.38487 \n",
      "Prediction:\n",
      " [[-1.7720263 ]\n",
      " [-1.23601794]\n",
      " [-1.56922877]\n",
      " [-1.98876178]\n",
      " [-1.74913549]\n",
      " [-1.89827621]\n",
      " [-2.05301499]\n",
      " [-2.18430448]]\n",
      "45 Cost:  5.38448 \n",
      "Prediction:\n",
      " [[-1.77191329]\n",
      " [-1.23590767]\n",
      " [-1.56913602]\n",
      " [-1.98868871]\n",
      " [-1.7490499 ]\n",
      " [-1.89819336]\n",
      " [-2.05295753]\n",
      " [-2.18424797]]\n",
      "46 Cost:  5.38409 \n",
      "Prediction:\n",
      " [[-1.7718004 ]\n",
      " [-1.23579741]\n",
      " [-1.56904328]\n",
      " [-1.98861563]\n",
      " [-1.74896443]\n",
      " [-1.89811063]\n",
      " [-2.05290008]\n",
      " [-2.18419123]]\n",
      "47 Cost:  5.3837 \n",
      "Prediction:\n",
      " [[-1.77168739]\n",
      " [-1.23568702]\n",
      " [-1.56895053]\n",
      " [-1.98854256]\n",
      " [-1.74887896]\n",
      " [-1.89802778]\n",
      " [-2.05284262]\n",
      " [-2.18413448]]\n",
      "48 Cost:  5.3833 \n",
      "Prediction:\n",
      " [[-1.7715745 ]\n",
      " [-1.23557687]\n",
      " [-1.56885767]\n",
      " [-1.9884696 ]\n",
      " [-1.74879336]\n",
      " [-1.89794505]\n",
      " [-2.05278492]\n",
      " [-2.18407774]]\n",
      "49 Cost:  5.38291 \n",
      "Prediction:\n",
      " [[-1.77146149]\n",
      " [-1.23546672]\n",
      " [-1.56876493]\n",
      " [-1.98839641]\n",
      " [-1.74870789]\n",
      " [-1.89786232]\n",
      " [-2.05272746]\n",
      " [-2.184021  ]]\n",
      "50 Cost:  5.38252 \n",
      "Prediction:\n",
      " [[-1.77134848]\n",
      " [-1.23535633]\n",
      " [-1.56867218]\n",
      " [-1.98832333]\n",
      " [-1.74862242]\n",
      " [-1.89777946]\n",
      " [-2.05267   ]\n",
      " [-2.18396425]]\n",
      "51 Cost:  5.38213 \n",
      "Prediction:\n",
      " [[-1.77123559]\n",
      " [-1.23524618]\n",
      " [-1.56857944]\n",
      " [-1.98825026]\n",
      " [-1.74853683]\n",
      " [-1.89769673]\n",
      " [-2.05261254]\n",
      " [-2.18390751]]\n",
      "52 Cost:  5.38174 \n",
      "Prediction:\n",
      " [[-1.77112257]\n",
      " [-1.23513579]\n",
      " [-1.56848657]\n",
      " [-1.9881773 ]\n",
      " [-1.74845135]\n",
      " [-1.89761388]\n",
      " [-2.05255508]\n",
      " [-2.183851  ]]\n",
      "53 Cost:  5.38135 \n",
      "Prediction:\n",
      " [[-1.77100968]\n",
      " [-1.23502564]\n",
      " [-1.56839371]\n",
      " [-1.98810422]\n",
      " [-1.74836576]\n",
      " [-1.89753115]\n",
      " [-2.05249739]\n",
      " [-2.18379426]]\n",
      "54 Cost:  5.38096 \n",
      "Prediction:\n",
      " [[-1.77089667]\n",
      " [-1.23491538]\n",
      " [-1.56830096]\n",
      " [-1.98803115]\n",
      " [-1.74828029]\n",
      " [-1.8974483 ]\n",
      " [-2.05243993]\n",
      " [-2.18373752]]\n",
      "55 Cost:  5.38057 \n",
      "Prediction:\n",
      " [[-1.77078366]\n",
      " [-1.23480523]\n",
      " [-1.56820822]\n",
      " [-1.98795795]\n",
      " [-1.74819481]\n",
      " [-1.89736557]\n",
      " [-2.05238247]\n",
      " [-2.18368077]]\n",
      "56 Cost:  5.38018 \n",
      "Prediction:\n",
      " [[-1.77067065]\n",
      " [-1.23469496]\n",
      " [-1.56811547]\n",
      " [-1.987885  ]\n",
      " [-1.74810934]\n",
      " [-1.89728284]\n",
      " [-2.05232477]\n",
      " [-2.18362403]]\n",
      "57 Cost:  5.37979 \n",
      "Prediction:\n",
      " [[-1.77055776]\n",
      " [-1.23458457]\n",
      " [-1.56802261]\n",
      " [-1.98781192]\n",
      " [-1.74802387]\n",
      " [-1.89720011]\n",
      " [-2.05226755]\n",
      " [-2.18356752]]\n",
      "58 Cost:  5.3794 \n",
      "Prediction:\n",
      " [[-1.77044487]\n",
      " [-1.23447442]\n",
      " [-1.56792986]\n",
      " [-1.98773885]\n",
      " [-1.74793828]\n",
      " [-1.89711738]\n",
      " [-2.05220985]\n",
      " [-2.18351078]]\n",
      "59 Cost:  5.37901 \n",
      "Prediction:\n",
      " [[-1.77033186]\n",
      " [-1.23436427]\n",
      " [-1.567837  ]\n",
      " [-1.98766577]\n",
      " [-1.7478528 ]\n",
      " [-1.89703441]\n",
      " [-2.0521524 ]\n",
      " [-2.18345404]]\n",
      "60 Cost:  5.37862 \n",
      "Prediction:\n",
      " [[-1.77021885]\n",
      " [-1.23425388]\n",
      " [-1.56774426]\n",
      " [-1.9875927 ]\n",
      " [-1.74776733]\n",
      " [-1.89695168]\n",
      " [-2.05209494]\n",
      " [-2.18339729]]\n",
      "61 Cost:  5.37823 \n",
      "Prediction:\n",
      " [[-1.77010584]\n",
      " [-1.23414373]\n",
      " [-1.56765151]\n",
      " [-1.98751974]\n",
      " [-1.74768174]\n",
      " [-1.89686894]\n",
      " [-2.05203724]\n",
      " [-2.18334055]]\n",
      "62 Cost:  5.37784 \n",
      "Prediction:\n",
      " [[-1.76999295]\n",
      " [-1.23403335]\n",
      " [-1.56755877]\n",
      " [-1.98744655]\n",
      " [-1.74759626]\n",
      " [-1.89678621]\n",
      " [-2.05197978]\n",
      " [-2.18328381]]\n",
      "63 Cost:  5.37745 \n",
      "Prediction:\n",
      " [[-1.76988006]\n",
      " [-1.2339232 ]\n",
      " [-1.5674659 ]\n",
      " [-1.98737359]\n",
      " [-1.74751079]\n",
      " [-1.89670336]\n",
      " [-2.05192232]\n",
      " [-2.18322706]]\n",
      "64 Cost:  5.37706 \n",
      "Prediction:\n",
      " [[-1.76976705]\n",
      " [-1.23381293]\n",
      " [-1.56737316]\n",
      " [-1.9873004 ]\n",
      " [-1.7474252 ]\n",
      " [-1.89662063]\n",
      " [-2.05186486]\n",
      " [-2.18317056]]\n",
      "65 Cost:  5.37667 \n",
      "Prediction:\n",
      " [[-1.76965404]\n",
      " [-1.23370278]\n",
      " [-1.56728041]\n",
      " [-1.98722744]\n",
      " [-1.74733973]\n",
      " [-1.89653778]\n",
      " [-2.0518074 ]\n",
      " [-2.18311381]]\n",
      "66 Cost:  5.37628 \n",
      "Prediction:\n",
      " [[-1.76954114]\n",
      " [-1.23359251]\n",
      " [-1.56718767]\n",
      " [-1.98715436]\n",
      " [-1.74725425]\n",
      " [-1.89645505]\n",
      " [-2.05174971]\n",
      " [-2.18305707]]\n",
      "67 Cost:  5.37589 \n",
      "Prediction:\n",
      " [[-1.76942825]\n",
      " [-1.23348224]\n",
      " [-1.5670948 ]\n",
      " [-1.98708129]\n",
      " [-1.74716866]\n",
      " [-1.89637232]\n",
      " [-2.05169225]\n",
      " [-2.18300033]]\n",
      "68 Cost:  5.3755 \n",
      "Prediction:\n",
      " [[-1.76931524]\n",
      " [-1.23337197]\n",
      " [-1.56700206]\n",
      " [-1.98700833]\n",
      " [-1.74708319]\n",
      " [-1.89628959]\n",
      " [-2.05163479]\n",
      " [-2.18294358]]\n",
      "69 Cost:  5.37511 \n",
      "Prediction:\n",
      " [[-1.76920223]\n",
      " [-1.23326182]\n",
      " [-1.56690931]\n",
      " [-1.98693514]\n",
      " [-1.74699771]\n",
      " [-1.89620686]\n",
      " [-2.05157733]\n",
      " [-2.18288708]]\n",
      "70 Cost:  5.37472 \n",
      "Prediction:\n",
      " [[-1.76908934]\n",
      " [-1.23315156]\n",
      " [-1.56681657]\n",
      " [-1.98686218]\n",
      " [-1.74691212]\n",
      " [-1.89612401]\n",
      " [-2.05151987]\n",
      " [-2.18283033]]\n",
      "71 Cost:  5.37433 \n",
      "Prediction:\n",
      " [[-1.76897645]\n",
      " [-1.23304141]\n",
      " [-1.5667237 ]\n",
      " [-1.98678899]\n",
      " [-1.74682677]\n",
      " [-1.89604127]\n",
      " [-2.05146217]\n",
      " [-2.18277359]]\n",
      "72 Cost:  5.37394 \n",
      "Prediction:\n",
      " [[-1.76886344]\n",
      " [-1.23293102]\n",
      " [-1.56663096]\n",
      " [-1.98671603]\n",
      " [-1.74674129]\n",
      " [-1.89595842]\n",
      " [-2.05140471]\n",
      " [-2.18271685]]\n",
      "73 Cost:  5.37355 \n",
      "Prediction:\n",
      " [[-1.76875043]\n",
      " [-1.23282087]\n",
      " [-1.56653821]\n",
      " [-1.98664296]\n",
      " [-1.7466557 ]\n",
      " [-1.89587569]\n",
      " [-2.05134726]\n",
      " [-2.1826601 ]]\n",
      "74 Cost:  5.37316 \n",
      "Prediction:\n",
      " [[-1.76863754]\n",
      " [-1.2327106 ]\n",
      " [-1.56644547]\n",
      " [-1.98656988]\n",
      " [-1.74657023]\n",
      " [-1.89579296]\n",
      " [-2.0512898 ]\n",
      " [-2.18260336]]\n",
      "75 Cost:  5.37277 \n",
      "Prediction:\n",
      " [[-1.76852465]\n",
      " [-1.23260045]\n",
      " [-1.56635261]\n",
      " [-1.98649681]\n",
      " [-1.74648464]\n",
      " [-1.89571011]\n",
      " [-2.05123234]\n",
      " [-2.18254662]]\n",
      "76 Cost:  5.37237 \n",
      "Prediction:\n",
      " [[-1.76841164]\n",
      " [-1.23249018]\n",
      " [-1.56625986]\n",
      " [-1.98642373]\n",
      " [-1.74639916]\n",
      " [-1.89562726]\n",
      " [-2.05117464]\n",
      " [-2.18249011]]\n",
      "77 Cost:  5.37198 \n",
      "Prediction:\n",
      " [[-1.76829863]\n",
      " [-1.23237991]\n",
      " [-1.56616712]\n",
      " [-1.98635066]\n",
      " [-1.74631369]\n",
      " [-1.89554465]\n",
      " [-2.05111718]\n",
      " [-2.18243337]]\n",
      "78 Cost:  5.37159 \n",
      "Prediction:\n",
      " [[-1.76818573]\n",
      " [-1.23226964]\n",
      " [-1.56607437]\n",
      " [-1.98627758]\n",
      " [-1.74622822]\n",
      " [-1.8954618 ]\n",
      " [-2.05105972]\n",
      " [-2.18237662]]\n",
      "79 Cost:  5.3712 \n",
      "Prediction:\n",
      " [[-1.76807284]\n",
      " [-1.2321595 ]\n",
      " [-1.56598163]\n",
      " [-1.98620462]\n",
      " [-1.74614275]\n",
      " [-1.89537907]\n",
      " [-2.05100226]\n",
      " [-2.18231988]]\n",
      "80 Cost:  5.37081 \n",
      "Prediction:\n",
      " [[-1.76795983]\n",
      " [-1.23204923]\n",
      " [-1.56588876]\n",
      " [-1.98613155]\n",
      " [-1.74605727]\n",
      " [-1.89529634]\n",
      " [-2.05094481]\n",
      " [-2.18226314]]\n",
      "81 Cost:  5.37042 \n",
      "Prediction:\n",
      " [[-1.76784694]\n",
      " [-1.23193908]\n",
      " [-1.56579602]\n",
      " [-1.98605847]\n",
      " [-1.74597168]\n",
      " [-1.89521348]\n",
      " [-2.05088711]\n",
      " [-2.18220663]]\n",
      "82 Cost:  5.37004 \n",
      "Prediction:\n",
      " [[-1.76773405]\n",
      " [-1.23182869]\n",
      " [-1.56570327]\n",
      " [-1.98598552]\n",
      " [-1.74588621]\n",
      " [-1.89513087]\n",
      " [-2.05082965]\n",
      " [-2.18214989]]\n",
      "83 Cost:  5.36964 \n",
      "Prediction:\n",
      " [[-1.76762104]\n",
      " [-1.23171854]\n",
      " [-1.56561053]\n",
      " [-1.98591232]\n",
      " [-1.74580073]\n",
      " [-1.89504802]\n",
      " [-2.05077219]\n",
      " [-2.18209314]]\n",
      "84 Cost:  5.36926 \n",
      "Prediction:\n",
      " [[-1.76750803]\n",
      " [-1.23160827]\n",
      " [-1.56551778]\n",
      " [-1.98583937]\n",
      " [-1.74571526]\n",
      " [-1.89496529]\n",
      " [-2.05071473]\n",
      " [-2.1820364 ]]\n",
      "85 Cost:  5.36887 \n",
      "Prediction:\n",
      " [[-1.76739514]\n",
      " [-1.23149812]\n",
      " [-1.56542492]\n",
      " [-1.98576617]\n",
      " [-1.74562979]\n",
      " [-1.89488244]\n",
      " [-2.05065727]\n",
      " [-2.18197966]]\n",
      "86 Cost:  5.36847 \n",
      "Prediction:\n",
      " [[-1.76728225]\n",
      " [-1.23138785]\n",
      " [-1.56533217]\n",
      " [-1.98569322]\n",
      " [-1.7455442 ]\n",
      " [-1.89479971]\n",
      " [-2.05059958]\n",
      " [-2.18192291]]\n",
      "87 Cost:  5.36808 \n",
      "Prediction:\n",
      " [[-1.76716924]\n",
      " [-1.23127759]\n",
      " [-1.56523943]\n",
      " [-1.98562026]\n",
      " [-1.74545872]\n",
      " [-1.89471698]\n",
      " [-2.05054212]\n",
      " [-2.18186641]]\n",
      "88 Cost:  5.36769 \n",
      "Prediction:\n",
      " [[-1.76705635]\n",
      " [-1.23116732]\n",
      " [-1.56514668]\n",
      " [-1.98554707]\n",
      " [-1.74537325]\n",
      " [-1.89463425]\n",
      " [-2.05048466]\n",
      " [-2.18180966]]\n",
      "89 Cost:  5.3673 \n",
      "Prediction:\n",
      " [[-1.76694345]\n",
      " [-1.23105717]\n",
      " [-1.56505382]\n",
      " [-1.98547411]\n",
      " [-1.74528766]\n",
      " [-1.89455152]\n",
      " [-2.0504272 ]\n",
      " [-2.18175292]]\n",
      "90 Cost:  5.36691 \n",
      "Prediction:\n",
      " [[-1.76683056]\n",
      " [-1.23094702]\n",
      " [-1.56496119]\n",
      " [-1.98540103]\n",
      " [-1.7452023 ]\n",
      " [-1.89446867]\n",
      " [-2.0503695 ]\n",
      " [-2.18169618]]\n",
      "91 Cost:  5.36653 \n",
      "Prediction:\n",
      " [[-1.76671767]\n",
      " [-1.23083687]\n",
      " [-1.56486845]\n",
      " [-1.98532796]\n",
      " [-1.74511695]\n",
      " [-1.89438605]\n",
      " [-2.05031204]\n",
      " [-2.18163943]]\n",
      "92 Cost:  5.36614 \n",
      "Prediction:\n",
      " [[-1.76660478]\n",
      " [-1.2307266 ]\n",
      " [-1.56477571]\n",
      " [-1.985255  ]\n",
      " [-1.74503136]\n",
      " [-1.8943032 ]\n",
      " [-2.05025458]\n",
      " [-2.18158293]]\n",
      "93 Cost:  5.36575 \n",
      "Prediction:\n",
      " [[-1.76649189]\n",
      " [-1.23061645]\n",
      " [-1.56468296]\n",
      " [-1.98518193]\n",
      " [-1.74494588]\n",
      " [-1.89422047]\n",
      " [-2.05019712]\n",
      " [-2.18152618]]\n",
      "94 Cost:  5.36536 \n",
      "Prediction:\n",
      " [[-1.76637912]\n",
      " [-1.2305063 ]\n",
      " [-1.56459022]\n",
      " [-1.98510885]\n",
      " [-1.74486041]\n",
      " [-1.89413774]\n",
      " [-2.05013967]\n",
      " [-2.18146944]]\n",
      "95 Cost:  5.36497 \n",
      "Prediction:\n",
      " [[-1.76626611]\n",
      " [-1.23039603]\n",
      " [-1.56449747]\n",
      " [-1.98503578]\n",
      " [-1.74477494]\n",
      " [-1.89405501]\n",
      " [-2.05008197]\n",
      " [-2.1814127 ]]\n",
      "96 Cost:  5.36458 \n",
      "Prediction:\n",
      " [[-1.76615334]\n",
      " [-1.23028588]\n",
      " [-1.56440473]\n",
      " [-1.9849627 ]\n",
      " [-1.74468946]\n",
      " [-1.89397228]\n",
      " [-2.05002451]\n",
      " [-2.18135595]]\n",
      "97 Cost:  5.36419 \n",
      "Prediction:\n",
      " [[-1.76604044]\n",
      " [-1.23017573]\n",
      " [-1.56431198]\n",
      " [-1.98488975]\n",
      " [-1.74460399]\n",
      " [-1.89388955]\n",
      " [-2.04996705]\n",
      " [-2.18129921]]\n",
      "98 Cost:  5.3638 \n",
      "Prediction:\n",
      " [[-1.76592755]\n",
      " [-1.23006558]\n",
      " [-1.56421924]\n",
      " [-1.98481679]\n",
      " [-1.74451852]\n",
      " [-1.89380682]\n",
      " [-2.04990959]\n",
      " [-2.1812427 ]]\n",
      "99 Cost:  5.36341 \n",
      "Prediction:\n",
      " [[-1.76581478]\n",
      " [-1.22995543]\n",
      " [-1.56412649]\n",
      " [-1.98474371]\n",
      " [-1.74443305]\n",
      " [-1.89372408]\n",
      " [-2.04985213]\n",
      " [-2.18118596]]\n",
      "100 Cost:  5.36302 \n",
      "Prediction:\n",
      " [[-1.76570189]\n",
      " [-1.22984529]\n",
      " [-1.56403375]\n",
      " [-1.98467064]\n",
      " [-1.74434757]\n",
      " [-1.89364135]\n",
      " [-2.04979444]\n",
      " [-2.18112922]]\n",
      "101 Cost:  5.36263 \n",
      "Prediction:\n",
      " [[-1.765589  ]\n",
      " [-1.22973514]\n",
      " [-1.563941  ]\n",
      " [-1.98459768]\n",
      " [-1.7442621 ]\n",
      " [-1.89355862]\n",
      " [-2.04973698]\n",
      " [-2.18107247]]\n",
      "102 Cost:  5.36224 \n",
      "Prediction:\n",
      " [[-1.76547611]\n",
      " [-1.22962475]\n",
      " [-1.56384826]\n",
      " [-1.98452473]\n",
      " [-1.74417675]\n",
      " [-1.89347589]\n",
      " [-2.04967952]\n",
      " [-2.18101573]]\n",
      "103 Cost:  5.36185 \n",
      "Prediction:\n",
      " [[-1.76536345]\n",
      " [-1.22951484]\n",
      " [-1.56375575]\n",
      " [-1.98445177]\n",
      " [-1.74409139]\n",
      " [-1.8933934 ]\n",
      " [-2.0496223 ]\n",
      " [-2.18095922]]\n",
      "104 Cost:  5.36146 \n",
      "Prediction:\n",
      " [[-1.76525092]\n",
      " [-1.22940493]\n",
      " [-1.56366324]\n",
      " [-1.98437905]\n",
      " [-1.74400628]\n",
      " [-1.8933109 ]\n",
      " [-2.04956508]\n",
      " [-2.18090296]]\n",
      "105 Cost:  5.36107 \n",
      "Prediction:\n",
      " [[-1.76513827]\n",
      " [-1.22929502]\n",
      " [-1.56357074]\n",
      " [-1.98430622]\n",
      " [-1.74392104]\n",
      " [-1.89322841]\n",
      " [-2.04950762]\n",
      " [-2.18084645]]\n",
      "106 Cost:  5.36069 \n",
      "Prediction:\n",
      " [[-1.76502562]\n",
      " [-1.22918522]\n",
      " [-1.56347835]\n",
      " [-1.98423338]\n",
      " [-1.74383581]\n",
      " [-1.89314592]\n",
      " [-2.0494504 ]\n",
      " [-2.18078995]]\n",
      "107 Cost:  5.3603 \n",
      "Prediction:\n",
      " [[-1.76491308]\n",
      " [-1.22907519]\n",
      " [-1.56338584]\n",
      " [-1.98416066]\n",
      " [-1.74375057]\n",
      " [-1.89306331]\n",
      " [-2.04939318]\n",
      " [-2.18073344]]\n",
      "108 Cost:  5.35991 \n",
      "Prediction:\n",
      " [[-1.76480043]\n",
      " [-1.22896528]\n",
      " [-1.56329334]\n",
      " [-1.98408782]\n",
      " [-1.74366546]\n",
      " [-1.89298093]\n",
      " [-2.04933596]\n",
      " [-2.18067694]]\n",
      "109 Cost:  5.35952 \n",
      "Prediction:\n",
      " [[-1.76468778]\n",
      " [-1.22885537]\n",
      " [-1.56320083]\n",
      " [-1.98401499]\n",
      " [-1.7435801 ]\n",
      " [-1.89289844]\n",
      " [-2.04927874]\n",
      " [-2.18062067]]\n",
      "110 Cost:  5.35913 \n",
      "Prediction:\n",
      " [[-1.76457512]\n",
      " [-1.22874546]\n",
      " [-1.56310833]\n",
      " [-1.98394227]\n",
      " [-1.74349499]\n",
      " [-1.89281595]\n",
      " [-2.04922152]\n",
      " [-2.18056417]]\n",
      "111 Cost:  5.35874 \n",
      "Prediction:\n",
      " [[-1.76446247]\n",
      " [-1.22863555]\n",
      " [-1.56301594]\n",
      " [-1.98386955]\n",
      " [-1.74340963]\n",
      " [-1.89273345]\n",
      " [-2.04916406]\n",
      " [-2.18050766]]\n",
      "112 Cost:  5.35836 \n",
      "Prediction:\n",
      " [[-1.76434994]\n",
      " [-1.22852552]\n",
      " [-1.56292343]\n",
      " [-1.98379672]\n",
      " [-1.74332452]\n",
      " [-1.89265096]\n",
      " [-2.04910684]\n",
      " [-2.18045115]]\n",
      "113 Cost:  5.35797 \n",
      "Prediction:\n",
      " [[-1.76423728]\n",
      " [-1.22841561]\n",
      " [-1.56283092]\n",
      " [-1.98372388]\n",
      " [-1.74323928]\n",
      " [-1.89256859]\n",
      " [-2.04904962]\n",
      " [-2.18039465]]\n",
      "114 Cost:  5.35758 \n",
      "Prediction:\n",
      " [[-1.76412463]\n",
      " [-1.22830582]\n",
      " [-1.56273842]\n",
      " [-1.98365116]\n",
      " [-1.74315405]\n",
      " [-1.89248598]\n",
      " [-2.0489924 ]\n",
      " [-2.18033838]]\n",
      "115 Cost:  5.35719 \n",
      "Prediction:\n",
      " [[-1.7640121 ]\n",
      " [-1.22819579]\n",
      " [-1.56264591]\n",
      " [-1.98357832]\n",
      " [-1.74306881]\n",
      " [-1.8924036 ]\n",
      " [-2.04893494]\n",
      " [-2.18028188]]\n",
      "116 Cost:  5.3568 \n",
      "Prediction:\n",
      " [[-1.76389945]\n",
      " [-1.22808588]\n",
      " [-1.56255341]\n",
      " [-1.98350549]\n",
      " [-1.74298358]\n",
      " [-1.89232099]\n",
      " [-2.04887772]\n",
      " [-2.18022537]]\n",
      "117 Cost:  5.35641 \n",
      "Prediction:\n",
      " [[-1.76378679]\n",
      " [-1.22797585]\n",
      " [-1.56246102]\n",
      " [-1.98343277]\n",
      " [-1.74289846]\n",
      " [-1.89223862]\n",
      " [-2.0488205 ]\n",
      " [-2.18016887]]\n",
      "118 Cost:  5.35603 \n",
      "Prediction:\n",
      " [[-1.76367426]\n",
      " [-1.22786593]\n",
      " [-1.56236851]\n",
      " [-1.98336005]\n",
      " [-1.74281311]\n",
      " [-1.89215612]\n",
      " [-2.04876328]\n",
      " [-2.18011236]]\n",
      "119 Cost:  5.35564 \n",
      "Prediction:\n",
      " [[-1.76356173]\n",
      " [-1.22775602]\n",
      " [-1.56227601]\n",
      " [-1.98328722]\n",
      " [-1.74272799]\n",
      " [-1.89207363]\n",
      " [-2.04870605]\n",
      " [-2.1800561 ]]\n",
      "120 Cost:  5.35525 \n",
      "Prediction:\n",
      " [[-1.76344907]\n",
      " [-1.22764623]\n",
      " [-1.56218362]\n",
      " [-1.98321438]\n",
      " [-1.74264264]\n",
      " [-1.89199114]\n",
      " [-2.04864883]\n",
      " [-2.17999959]]\n",
      "121 Cost:  5.35486 \n",
      "Prediction:\n",
      " [[-1.76333642]\n",
      " [-1.2275362 ]\n",
      " [-1.56209111]\n",
      " [-1.98314166]\n",
      " [-1.74255753]\n",
      " [-1.89190865]\n",
      " [-2.04859138]\n",
      " [-2.17994308]]\n",
      "122 Cost:  5.35447 \n",
      "Prediction:\n",
      " [[-1.76322389]\n",
      " [-1.22742629]\n",
      " [-1.56199861]\n",
      " [-1.98306882]\n",
      " [-1.74247241]\n",
      " [-1.89182615]\n",
      " [-2.04853415]\n",
      " [-2.17988658]]\n",
      "123 Cost:  5.35409 \n",
      "Prediction:\n",
      " [[-1.76311123]\n",
      " [-1.22731638]\n",
      " [-1.5619061 ]\n",
      " [-1.98299599]\n",
      " [-1.74238706]\n",
      " [-1.89174366]\n",
      " [-2.04847693]\n",
      " [-2.17983007]]\n",
      "124 Cost:  5.3537 \n",
      "Prediction:\n",
      " [[-1.76299858]\n",
      " [-1.22720647]\n",
      " [-1.56181371]\n",
      " [-1.98292327]\n",
      " [-1.74230194]\n",
      " [-1.89166117]\n",
      " [-2.04841971]\n",
      " [-2.17977381]]\n",
      "125 Cost:  5.35331 \n",
      "Prediction:\n",
      " [[-1.76288605]\n",
      " [-1.22709656]\n",
      " [-1.56172121]\n",
      " [-1.98285043]\n",
      " [-1.74221659]\n",
      " [-1.89157867]\n",
      " [-2.04836249]\n",
      " [-2.1797173 ]]\n",
      "126 Cost:  5.35292 \n",
      "Prediction:\n",
      " [[-1.76277339]\n",
      " [-1.22698665]\n",
      " [-1.5616287 ]\n",
      " [-1.9827776 ]\n",
      " [-1.74213147]\n",
      " [-1.89149618]\n",
      " [-2.04830503]\n",
      " [-2.1796608 ]]\n",
      "127 Cost:  5.35253 \n",
      "Prediction:\n",
      " [[-1.76266074]\n",
      " [-1.22687662]\n",
      " [-1.56153619]\n",
      " [-1.98270488]\n",
      " [-1.74204624]\n",
      " [-1.89141369]\n",
      " [-2.04824781]\n",
      " [-2.17960429]]\n",
      "128 Cost:  5.35215 \n",
      "Prediction:\n",
      " [[-1.76254821]\n",
      " [-1.22676682]\n",
      " [-1.56144369]\n",
      " [-1.98263216]\n",
      " [-1.741961  ]\n",
      " [-1.8913312 ]\n",
      " [-2.04819059]\n",
      " [-2.17954779]]\n",
      "129 Cost:  5.35176 \n",
      "Prediction:\n",
      " [[-1.76243556]\n",
      " [-1.22665679]\n",
      " [-1.5613513 ]\n",
      " [-1.9825592 ]\n",
      " [-1.74187589]\n",
      " [-1.8912487 ]\n",
      " [-2.04813337]\n",
      " [-2.17949152]]\n",
      "130 Cost:  5.35137 \n",
      "Prediction:\n",
      " [[-1.76232302]\n",
      " [-1.226547  ]\n",
      " [-1.56125879]\n",
      " [-1.98248649]\n",
      " [-1.74179053]\n",
      " [-1.89116621]\n",
      " [-2.04807615]\n",
      " [-2.17943478]]\n",
      "131 Cost:  5.35098 \n",
      "Prediction:\n",
      " [[-1.76221037]\n",
      " [-1.22643697]\n",
      " [-1.56116629]\n",
      " [-1.98241377]\n",
      " [-1.74170542]\n",
      " [-1.89108384]\n",
      " [-2.04801893]\n",
      " [-2.17937851]]\n",
      "132 Cost:  5.35059 \n",
      "Prediction:\n",
      " [[-1.76209784]\n",
      " [-1.22632706]\n",
      " [-1.56107378]\n",
      " [-1.98234105]\n",
      " [-1.74162018]\n",
      " [-1.89100122]\n",
      " [-2.04796147]\n",
      " [-2.179322  ]]\n",
      "133 Cost:  5.35021 \n",
      "Prediction:\n",
      " [[-1.76198518]\n",
      " [-1.22621727]\n",
      " [-1.56098127]\n",
      " [-1.98226821]\n",
      " [-1.74153495]\n",
      " [-1.89091885]\n",
      " [-2.04790425]\n",
      " [-2.1792655 ]]\n",
      "134 Cost:  5.34982 \n",
      "Prediction:\n",
      " [[-1.76187265]\n",
      " [-1.22610736]\n",
      " [-1.56088889]\n",
      " [-1.98219538]\n",
      " [-1.74144971]\n",
      " [-1.89083636]\n",
      " [-2.04784703]\n",
      " [-2.17920923]]\n",
      "135 Cost:  5.34943 \n",
      "Prediction:\n",
      " [[-1.76176   ]\n",
      " [-1.22599745]\n",
      " [-1.5607965 ]\n",
      " [-1.98212266]\n",
      " [-1.7413646 ]\n",
      " [-1.89075387]\n",
      " [-2.04778981]\n",
      " [-2.17915273]]\n",
      "136 Cost:  5.34904 \n",
      "Prediction:\n",
      " [[-1.76164746]\n",
      " [-1.22588754]\n",
      " [-1.56070399]\n",
      " [-1.98204994]\n",
      " [-1.74127936]\n",
      " [-1.89067149]\n",
      " [-2.04773259]\n",
      " [-2.17909622]]\n",
      "137 Cost:  5.34865 \n",
      "Prediction:\n",
      " [[-1.76153481]\n",
      " [-1.22577775]\n",
      " [-1.56061149]\n",
      " [-1.98197711]\n",
      " [-1.74119425]\n",
      " [-1.890589  ]\n",
      " [-2.04767537]\n",
      " [-2.17903972]]\n",
      "138 Cost:  5.34827 \n",
      "Prediction:\n",
      " [[-1.76142228]\n",
      " [-1.22566795]\n",
      " [-1.5605191 ]\n",
      " [-1.98190427]\n",
      " [-1.74110913]\n",
      " [-1.89050651]\n",
      " [-2.04761791]\n",
      " [-2.17898345]]\n",
      "139 Cost:  5.34788 \n",
      "Prediction:\n",
      " [[-1.76130962]\n",
      " [-1.22555804]\n",
      " [-1.56042671]\n",
      " [-1.98183155]\n",
      " [-1.74102378]\n",
      " [-1.89042401]\n",
      " [-2.04756069]\n",
      " [-2.17892694]]\n",
      "140 Cost:  5.34749 \n",
      "Prediction:\n",
      " [[-1.76119709]\n",
      " [-1.22544825]\n",
      " [-1.56033421]\n",
      " [-1.98175883]\n",
      " [-1.74093866]\n",
      " [-1.89034164]\n",
      " [-2.04750347]\n",
      " [-2.17887044]]\n",
      "141 Cost:  5.3471 \n",
      "Prediction:\n",
      " [[-1.76108444]\n",
      " [-1.22533822]\n",
      " [-1.56024182]\n",
      " [-1.981686  ]\n",
      " [-1.74085355]\n",
      " [-1.89025915]\n",
      " [-2.04744625]\n",
      " [-2.17881417]]\n",
      "142 Cost:  5.34672 \n",
      "Prediction:\n",
      " [[-1.7609719 ]\n",
      " [-1.22522843]\n",
      " [-1.56014943]\n",
      " [-1.98161316]\n",
      " [-1.74076819]\n",
      " [-1.89017677]\n",
      " [-2.04738903]\n",
      " [-2.17875767]]\n",
      "143 Cost:  5.34633 \n",
      "Prediction:\n",
      " [[-1.76085925]\n",
      " [-1.22511864]\n",
      " [-1.56005692]\n",
      " [-1.98154044]\n",
      " [-1.74068308]\n",
      " [-1.89009428]\n",
      " [-2.04733181]\n",
      " [-2.1787014 ]]\n",
      "144 Cost:  5.34594 \n",
      "Prediction:\n",
      " [[-1.76074672]\n",
      " [-1.22500873]\n",
      " [-1.55996442]\n",
      " [-1.98146772]\n",
      " [-1.74059796]\n",
      " [-1.89001179]\n",
      " [-2.04727459]\n",
      " [-2.1786449 ]]\n",
      "145 Cost:  5.34555 \n",
      "Prediction:\n",
      " [[-1.76063406]\n",
      " [-1.22489905]\n",
      " [-1.55987203]\n",
      " [-1.98139477]\n",
      " [-1.74051273]\n",
      " [-1.88992929]\n",
      " [-2.04721737]\n",
      " [-2.17858839]]\n",
      "146 Cost:  5.34516 \n",
      "Prediction:\n",
      " [[-1.76052153]\n",
      " [-1.22478914]\n",
      " [-1.55977964]\n",
      " [-1.98132205]\n",
      " [-1.74042749]\n",
      " [-1.8898468 ]\n",
      " [-2.04715991]\n",
      " [-2.17853189]]\n",
      "147 Cost:  5.34478 \n",
      "Prediction:\n",
      " [[-1.76040912]\n",
      " [-1.22467935]\n",
      " [-1.55968726]\n",
      " [-1.98124933]\n",
      " [-1.7403425 ]\n",
      " [-1.88976443]\n",
      " [-2.04710269]\n",
      " [-2.17847562]]\n",
      "148 Cost:  5.34439 \n",
      "Prediction:\n",
      " [[-1.76029658]\n",
      " [-1.22456956]\n",
      " [-1.55959487]\n",
      " [-1.98117661]\n",
      " [-1.74025726]\n",
      " [-1.88968205]\n",
      " [-2.04704571]\n",
      " [-2.17841911]]\n",
      "149 Cost:  5.344 \n",
      "Prediction:\n",
      " [[-1.76018417]\n",
      " [-1.22445977]\n",
      " [-1.5595026 ]\n",
      " [-1.9811039 ]\n",
      " [-1.74017215]\n",
      " [-1.88959968]\n",
      " [-2.04698849]\n",
      " [-2.17836261]]\n",
      "150 Cost:  5.34362 \n",
      "Prediction:\n",
      " [[-1.76007175]\n",
      " [-1.22435009]\n",
      " [-1.55941021]\n",
      " [-1.98103118]\n",
      " [-1.74008703]\n",
      " [-1.88951731]\n",
      " [-2.04693127]\n",
      " [-2.17830634]]\n",
      "151 Cost:  5.34323 \n",
      "Prediction:\n",
      " [[-1.75995922]\n",
      " [-1.2242403 ]\n",
      " [-1.55931783]\n",
      " [-1.98095846]\n",
      " [-1.74000192]\n",
      " [-1.88943493]\n",
      " [-2.04687405]\n",
      " [-2.17824984]]\n",
      "152 Cost:  5.34284 \n",
      "Prediction:\n",
      " [[-1.75984669]\n",
      " [-1.22413063]\n",
      " [-1.55922544]\n",
      " [-1.98088574]\n",
      " [-1.7399168 ]\n",
      " [-1.88935256]\n",
      " [-2.04681659]\n",
      " [-2.17819333]]\n",
      "153 Cost:  5.34245 \n",
      "Prediction:\n",
      " [[-1.75973427]\n",
      " [-1.22402072]\n",
      " [-1.55913305]\n",
      " [-1.98081303]\n",
      " [-1.73983181]\n",
      " [-1.88927019]\n",
      " [-2.04675937]\n",
      " [-2.17813683]]\n",
      "154 Cost:  5.34207 \n",
      "Prediction:\n",
      " [[-1.75962186]\n",
      " [-1.22391105]\n",
      " [-1.55904067]\n",
      " [-1.98074043]\n",
      " [-1.73974657]\n",
      " [-1.88918769]\n",
      " [-2.04670215]\n",
      " [-2.17808056]]\n",
      "155 Cost:  5.34168 \n",
      "Prediction:\n",
      " [[-1.75950933]\n",
      " [-1.22380126]\n",
      " [-1.5589484 ]\n",
      " [-1.98066771]\n",
      " [-1.73966146]\n",
      " [-1.88910532]\n",
      " [-2.04664493]\n",
      " [-2.17802405]]\n",
      "156 Cost:  5.34129 \n",
      "Prediction:\n",
      " [[-1.75939691]\n",
      " [-1.22369158]\n",
      " [-1.55885601]\n",
      " [-1.98059487]\n",
      " [-1.73957634]\n",
      " [-1.88902295]\n",
      " [-2.04658771]\n",
      " [-2.17796779]]\n",
      "157 Cost:  5.34091 \n",
      "Prediction:\n",
      " [[-1.7592845 ]\n",
      " [-1.22358179]\n",
      " [-1.55876362]\n",
      " [-1.98052216]\n",
      " [-1.73949122]\n",
      " [-1.88894057]\n",
      " [-2.04653049]\n",
      " [-2.17791128]]\n",
      "158 Cost:  5.34052 \n",
      "Prediction:\n",
      " [[-1.75917196]\n",
      " [-1.22347212]\n",
      " [-1.55867136]\n",
      " [-1.98044944]\n",
      " [-1.73940611]\n",
      " [-1.88885808]\n",
      " [-2.04647326]\n",
      " [-2.17785478]]\n",
      "159 Cost:  5.34013 \n",
      "Prediction:\n",
      " [[-1.75905955]\n",
      " [-1.22336221]\n",
      " [-1.55857885]\n",
      " [-1.98037672]\n",
      " [-1.73932099]\n",
      " [-1.88877583]\n",
      " [-2.04641604]\n",
      " [-2.17779827]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "160 Cost:  5.33974 \n",
      "Prediction:\n",
      " [[-1.75894713]\n",
      " [-1.22325253]\n",
      " [-1.55848658]\n",
      " [-1.980304  ]\n",
      " [-1.73923588]\n",
      " [-1.88869333]\n",
      " [-2.04635882]\n",
      " [-2.177742  ]]\n",
      "161 Cost:  5.33936 \n",
      "Prediction:\n",
      " [[-1.7588346 ]\n",
      " [-1.22314262]\n",
      " [-1.55839419]\n",
      " [-1.98023129]\n",
      " [-1.73915088]\n",
      " [-1.88861096]\n",
      " [-2.0463016 ]\n",
      " [-2.1776855 ]]\n",
      "162 Cost:  5.33897 \n",
      "Prediction:\n",
      " [[-1.75872231]\n",
      " [-1.22303307]\n",
      " [-1.55830193]\n",
      " [-1.98015869]\n",
      " [-1.73906565]\n",
      " [-1.88852859]\n",
      " [-2.04624438]\n",
      " [-2.17762899]]\n",
      "163 Cost:  5.33858 \n",
      "Prediction:\n",
      " [[-1.75860977]\n",
      " [-1.22292328]\n",
      " [-1.55820954]\n",
      " [-1.98008597]\n",
      " [-1.73898077]\n",
      " [-1.88844621]\n",
      " [-2.04618716]\n",
      " [-2.17757273]]\n",
      "164 Cost:  5.3382 \n",
      "Prediction:\n",
      " [[-1.75849748]\n",
      " [-1.22281361]\n",
      " [-1.55811715]\n",
      " [-1.98001337]\n",
      " [-1.73889565]\n",
      " [-1.88836384]\n",
      " [-2.04612994]\n",
      " [-2.17751622]]\n",
      "165 Cost:  5.33781 \n",
      "Prediction:\n",
      " [[-1.75838506]\n",
      " [-1.22270393]\n",
      " [-1.55802488]\n",
      " [-1.97994065]\n",
      " [-1.73881042]\n",
      " [-1.88828158]\n",
      " [-2.04607272]\n",
      " [-2.17745972]]\n",
      "166 Cost:  5.33742 \n",
      "Prediction:\n",
      " [[-1.75827265]\n",
      " [-1.22259426]\n",
      " [-1.55793262]\n",
      " [-1.97986794]\n",
      " [-1.73872542]\n",
      " [-1.88819909]\n",
      " [-2.0460155 ]\n",
      " [-2.17740345]]\n",
      "167 Cost:  5.33704 \n",
      "Prediction:\n",
      " [[-1.75816035]\n",
      " [-1.22248447]\n",
      " [-1.55784035]\n",
      " [-1.97979522]\n",
      " [-1.73864031]\n",
      " [-1.88811684]\n",
      " [-2.04595828]\n",
      " [-2.17734694]]\n",
      "168 Cost:  5.33665 \n",
      "Prediction:\n",
      " [[-1.75804794]\n",
      " [-1.22237492]\n",
      " [-1.55774796]\n",
      " [-1.9797225 ]\n",
      " [-1.73855519]\n",
      " [-1.88803434]\n",
      " [-2.04590106]\n",
      " [-2.17729044]]\n",
      "169 Cost:  5.33626 \n",
      "Prediction:\n",
      " [[-1.75793552]\n",
      " [-1.22226501]\n",
      " [-1.55765557]\n",
      " [-1.97964978]\n",
      " [-1.7384702 ]\n",
      " [-1.88795209]\n",
      " [-2.04584384]\n",
      " [-2.17723417]]\n",
      "170 Cost:  5.33588 \n",
      "Prediction:\n",
      " [[-1.75782323]\n",
      " [-1.22215533]\n",
      " [-1.5575633 ]\n",
      " [-1.97957718]\n",
      " [-1.73838508]\n",
      " [-1.88786972]\n",
      " [-2.04578662]\n",
      " [-2.17717767]]\n",
      "171 Cost:  5.33549 \n",
      "Prediction:\n",
      " [[-1.7577107 ]\n",
      " [-1.22204566]\n",
      " [-1.55747104]\n",
      " [-1.97950447]\n",
      " [-1.73830009]\n",
      " [-1.88778734]\n",
      " [-2.0457294 ]\n",
      " [-2.1771214 ]]\n",
      "172 Cost:  5.3351 \n",
      "Prediction:\n",
      " [[-1.7575984 ]\n",
      " [-1.22193599]\n",
      " [-1.55737865]\n",
      " [-1.97943175]\n",
      " [-1.73821497]\n",
      " [-1.88770497]\n",
      " [-2.04567218]\n",
      " [-2.1770649 ]]\n",
      "173 Cost:  5.33471 \n",
      "Prediction:\n",
      " [[-1.75748599]\n",
      " [-1.22182631]\n",
      " [-1.55728626]\n",
      " [-1.97935903]\n",
      " [-1.73812985]\n",
      " [-1.88762259]\n",
      " [-2.04561496]\n",
      " [-2.17700839]]\n",
      "174 Cost:  5.33433 \n",
      "Prediction:\n",
      " [[-1.75737357]\n",
      " [-1.22171664]\n",
      " [-1.55719399]\n",
      " [-1.97928643]\n",
      " [-1.73804474]\n",
      " [-1.88754022]\n",
      " [-2.04555774]\n",
      " [-2.17695212]]\n",
      "175 Cost:  5.33394 \n",
      "Prediction:\n",
      " [[-1.75726128]\n",
      " [-1.22160673]\n",
      " [-1.55710173]\n",
      " [-1.97921371]\n",
      " [-1.73795962]\n",
      " [-1.88745785]\n",
      " [-2.04550052]\n",
      " [-2.17689562]]\n",
      "176 Cost:  5.33355 \n",
      "Prediction:\n",
      " [[-1.75714886]\n",
      " [-1.22149706]\n",
      " [-1.55700946]\n",
      " [-1.979141  ]\n",
      " [-1.73787451]\n",
      " [-1.88737547]\n",
      " [-2.0454433 ]\n",
      " [-2.17683911]]\n",
      "177 Cost:  5.33317 \n",
      "Prediction:\n",
      " [[-1.75703645]\n",
      " [-1.22138751]\n",
      " [-1.55691707]\n",
      " [-1.97906828]\n",
      " [-1.73778963]\n",
      " [-1.8872931 ]\n",
      " [-2.04538608]\n",
      " [-2.17678285]]\n",
      "178 Cost:  5.33278 \n",
      "Prediction:\n",
      " [[-1.75692415]\n",
      " [-1.22127771]\n",
      " [-1.55682468]\n",
      " [-1.97899556]\n",
      " [-1.73770452]\n",
      " [-1.88721085]\n",
      " [-2.04532886]\n",
      " [-2.17672634]]\n",
      "179 Cost:  5.33239 \n",
      "Prediction:\n",
      " [[-1.75681162]\n",
      " [-1.22116804]\n",
      " [-1.5567323 ]\n",
      " [-1.97892296]\n",
      " [-1.7376194 ]\n",
      " [-1.88712847]\n",
      " [-2.04527164]\n",
      " [-2.17666984]]\n",
      "180 Cost:  5.33201 \n",
      "Prediction:\n",
      " [[-1.75669932]\n",
      " [-1.22105837]\n",
      " [-1.55664015]\n",
      " [-1.97885025]\n",
      " [-1.73753428]\n",
      " [-1.8870461 ]\n",
      " [-2.04521441]\n",
      " [-2.17661357]]\n",
      "181 Cost:  5.33162 \n",
      "Prediction:\n",
      " [[-1.75658703]\n",
      " [-1.2209487 ]\n",
      " [-1.55654776]\n",
      " [-1.97877753]\n",
      " [-1.73744917]\n",
      " [-1.88696373]\n",
      " [-2.04515719]\n",
      " [-2.17655706]]\n",
      "182 Cost:  5.33123 \n",
      "Prediction:\n",
      " [[-1.75647461]\n",
      " [-1.22083902]\n",
      " [-1.55645537]\n",
      " [-1.97870481]\n",
      " [-1.73736417]\n",
      " [-1.88688135]\n",
      " [-2.04509997]\n",
      " [-2.17650056]]\n",
      "183 Cost:  5.33085 \n",
      "Prediction:\n",
      " [[-1.7563622 ]\n",
      " [-1.22072935]\n",
      " [-1.55636311]\n",
      " [-1.97863221]\n",
      " [-1.73727906]\n",
      " [-1.8867991 ]\n",
      " [-2.04504275]\n",
      " [-2.17644429]]\n",
      "184 Cost:  5.33046 \n",
      "Prediction:\n",
      " [[-1.7562499 ]\n",
      " [-1.22061956]\n",
      " [-1.55627084]\n",
      " [-1.97855949]\n",
      " [-1.73719406]\n",
      " [-1.8867166 ]\n",
      " [-2.04498553]\n",
      " [-2.17638779]]\n",
      "185 Cost:  5.33007 \n",
      "Prediction:\n",
      " [[-1.75613749]\n",
      " [-1.22050989]\n",
      " [-1.55617857]\n",
      " [-1.97848678]\n",
      " [-1.73710895]\n",
      " [-1.88663435]\n",
      " [-2.04492831]\n",
      " [-2.17633128]]\n",
      "186 Cost:  5.32969 \n",
      "Prediction:\n",
      " [[-1.75602508]\n",
      " [-1.22040009]\n",
      " [-1.5560863 ]\n",
      " [-1.97841406]\n",
      " [-1.73702383]\n",
      " [-1.88655198]\n",
      " [-2.04487109]\n",
      " [-2.17627501]]\n",
      "187 Cost:  5.3293 \n",
      "Prediction:\n",
      " [[-1.75591278]\n",
      " [-1.22029054]\n",
      " [-1.55599391]\n",
      " [-1.97834134]\n",
      " [-1.73693883]\n",
      " [-1.8864696 ]\n",
      " [-2.04481387]\n",
      " [-2.17621851]]\n",
      "188 Cost:  5.32892 \n",
      "Prediction:\n",
      " [[-1.75580037]\n",
      " [-1.22018075]\n",
      " [-1.55590153]\n",
      " [-1.97826874]\n",
      " [-1.73685372]\n",
      " [-1.88638723]\n",
      " [-2.04475665]\n",
      " [-2.176162  ]]\n",
      "189 Cost:  5.32853 \n",
      "Prediction:\n",
      " [[-1.75568795]\n",
      " [-1.22007108]\n",
      " [-1.55580926]\n",
      " [-1.97819602]\n",
      " [-1.73676872]\n",
      " [-1.88630486]\n",
      " [-2.04469943]\n",
      " [-2.17610574]]\n",
      "190 Cost:  5.32814 \n",
      "Prediction:\n",
      " [[-1.75557566]\n",
      " [-1.2199614 ]\n",
      " [-1.55571699]\n",
      " [-1.97812331]\n",
      " [-1.73668361]\n",
      " [-1.8862226 ]\n",
      " [-2.04464221]\n",
      " [-2.17604923]]\n",
      "191 Cost:  5.32776 \n",
      "Prediction:\n",
      " [[-1.75546324]\n",
      " [-1.21985173]\n",
      " [-1.55562472]\n",
      " [-1.97805071]\n",
      " [-1.73659849]\n",
      " [-1.88614023]\n",
      " [-2.04458499]\n",
      " [-2.17599273]]\n",
      "192 Cost:  5.32737 \n",
      "Prediction:\n",
      " [[-1.75535083]\n",
      " [-1.21974206]\n",
      " [-1.55553234]\n",
      " [-1.97797799]\n",
      " [-1.7365135 ]\n",
      " [-1.88605785]\n",
      " [-2.04452777]\n",
      " [-2.17593646]]\n",
      "193 Cost:  5.32698 \n",
      "Prediction:\n",
      " [[-1.75523853]\n",
      " [-1.21963239]\n",
      " [-1.55544007]\n",
      " [-1.97790527]\n",
      " [-1.73642838]\n",
      " [-1.88597548]\n",
      " [-2.04447055]\n",
      " [-2.17587996]]\n",
      "194 Cost:  5.3266 \n",
      "Prediction:\n",
      " [[-1.75512612]\n",
      " [-1.2195226 ]\n",
      " [-1.55534768]\n",
      " [-1.97783256]\n",
      " [-1.73634326]\n",
      " [-1.88589311]\n",
      " [-2.04441333]\n",
      " [-2.17582345]]\n",
      "195 Cost:  5.32621 \n",
      "Prediction:\n",
      " [[-1.7550137 ]\n",
      " [-1.21941292]\n",
      " [-1.55525541]\n",
      " [-1.97775984]\n",
      " [-1.73625827]\n",
      " [-1.88581085]\n",
      " [-2.04435611]\n",
      " [-2.17576718]]\n",
      "196 Cost:  5.32582 \n",
      "Prediction:\n",
      " [[-1.75490141]\n",
      " [-1.21930313]\n",
      " [-1.55516315]\n",
      " [-1.97768724]\n",
      " [-1.73617315]\n",
      " [-1.88572848]\n",
      " [-2.04429889]\n",
      " [-2.17571068]]\n",
      "197 Cost:  5.32544 \n",
      "Prediction:\n",
      " [[-1.75478911]\n",
      " [-1.21919346]\n",
      " [-1.55507076]\n",
      " [-1.97761452]\n",
      " [-1.73608804]\n",
      " [-1.8856461 ]\n",
      " [-2.04424167]\n",
      " [-2.17565441]]\n",
      "198 Cost:  5.32505 \n",
      "Prediction:\n",
      " [[-1.7546767 ]\n",
      " [-1.21908379]\n",
      " [-1.55497849]\n",
      " [-1.9775418 ]\n",
      " [-1.73600304]\n",
      " [-1.88556385]\n",
      " [-2.04418445]\n",
      " [-2.17559791]]\n",
      "199 Cost:  5.32467 \n",
      "Prediction:\n",
      " [[-1.75456429]\n",
      " [-1.21897423]\n",
      " [-1.5548861 ]\n",
      " [-1.97746921]\n",
      " [-1.73591805]\n",
      " [-1.88548136]\n",
      " [-2.04412723]\n",
      " [-2.1755414 ]]\n",
      "200 Cost:  5.32428 \n",
      "Prediction:\n",
      " [[-1.75445199]\n",
      " [-1.21886444]\n",
      " [-1.55479383]\n",
      " [-1.97739649]\n",
      " [-1.73583293]\n",
      " [-1.8853991 ]\n",
      " [-2.04407001]\n",
      " [-2.17548513]]\n",
      "201 Cost:  5.32389 \n",
      "Prediction:\n",
      " [[-1.75433969]\n",
      " [-1.21875477]\n",
      " [-1.55470157]\n",
      " [-1.97732377]\n",
      " [-1.73574781]\n",
      " [-1.88531673]\n",
      " [-2.04401278]\n",
      " [-2.17542863]]\n",
      "202 Cost:  5.32351 \n",
      "Prediction:\n",
      " [[-1.75422728]\n",
      " [-1.2186451 ]\n",
      " [-1.5546093 ]\n",
      " [-1.97725105]\n",
      " [-1.7356627 ]\n",
      " [-1.88523436]\n",
      " [-2.04395556]\n",
      " [-2.17537212]]\n",
      "203 Cost:  5.32312 \n",
      "Prediction:\n",
      " [[-1.75411487]\n",
      " [-1.21853542]\n",
      " [-1.55451691]\n",
      " [-1.97717845]\n",
      " [-1.7355777 ]\n",
      " [-1.88515198]\n",
      " [-2.04389834]\n",
      " [-2.17531586]]\n",
      "204 Cost:  5.32273 \n",
      "Prediction:\n",
      " [[-1.75400257]\n",
      " [-1.21842575]\n",
      " [-1.55442452]\n",
      " [-1.97710586]\n",
      " [-1.73549271]\n",
      " [-1.88506973]\n",
      " [-2.04384112]\n",
      " [-2.17525935]]\n",
      "205 Cost:  5.32235 \n",
      "Prediction:\n",
      " [[-1.75389028]\n",
      " [-1.21831608]\n",
      " [-1.55433238]\n",
      " [-1.97703314]\n",
      " [-1.73540759]\n",
      " [-1.88498735]\n",
      " [-2.0437839 ]\n",
      " [-2.17520285]]\n",
      "206 Cost:  5.32196 \n",
      "Prediction:\n",
      " [[-1.75377786]\n",
      " [-1.21820641]\n",
      " [-1.55423999]\n",
      " [-1.97696042]\n",
      " [-1.73532259]\n",
      " [-1.88490498]\n",
      " [-2.04372668]\n",
      " [-2.17514658]]\n",
      "207 Cost:  5.32157 \n",
      "Prediction:\n",
      " [[-1.75366545]\n",
      " [-1.21809673]\n",
      " [-1.55414772]\n",
      " [-1.9768877 ]\n",
      " [-1.73523748]\n",
      " [-1.88482261]\n",
      " [-2.04366946]\n",
      " [-2.17509007]]\n",
      "208 Cost:  5.32119 \n",
      "Prediction:\n",
      " [[-1.75355315]\n",
      " [-1.21798706]\n",
      " [-1.55405545]\n",
      " [-1.97681499]\n",
      " [-1.73515248]\n",
      " [-1.88474035]\n",
      " [-2.04361224]\n",
      " [-2.17503357]]\n",
      "209 Cost:  5.3208 \n",
      "Prediction:\n",
      " [[-1.75344086]\n",
      " [-1.21787739]\n",
      " [-1.55396318]\n",
      " [-1.97674227]\n",
      " [-1.73506737]\n",
      " [-1.88465798]\n",
      " [-2.04355502]\n",
      " [-2.1749773 ]]\n",
      "210 Cost:  5.32042 \n",
      "Prediction:\n",
      " [[-1.75332844]\n",
      " [-1.21776772]\n",
      " [-1.5538708 ]\n",
      " [-1.97666955]\n",
      " [-1.73498225]\n",
      " [-1.88457561]\n",
      " [-2.0434978 ]\n",
      " [-2.1749208 ]]\n",
      "211 Cost:  5.32003 \n",
      "Prediction:\n",
      " [[-1.75321603]\n",
      " [-1.21765792]\n",
      " [-1.55377853]\n",
      " [-1.97659707]\n",
      " [-1.73489726]\n",
      " [-1.88449323]\n",
      " [-2.04344058]\n",
      " [-2.17486429]]\n",
      "212 Cost:  5.31964 \n",
      "Prediction:\n",
      " [[-1.75310373]\n",
      " [-1.21754837]\n",
      " [-1.55368614]\n",
      " [-1.97652435]\n",
      " [-1.73481214]\n",
      " [-1.88441086]\n",
      " [-2.04338336]\n",
      " [-2.17480803]]\n",
      "213 Cost:  5.31926 \n",
      "Prediction:\n",
      " [[-1.75299144]\n",
      " [-1.21743858]\n",
      " [-1.55359387]\n",
      " [-1.97645164]\n",
      " [-1.73472703]\n",
      " [-1.8843286 ]\n",
      " [-2.04332614]\n",
      " [-2.17475152]]\n",
      "214 Cost:  5.31887 \n",
      "Prediction:\n",
      " [[-1.75287914]\n",
      " [-1.21732903]\n",
      " [-1.55350161]\n",
      " [-1.97637892]\n",
      " [-1.73464203]\n",
      " [-1.88424623]\n",
      " [-2.04326892]\n",
      " [-2.17469501]]\n",
      "215 Cost:  5.31849 \n",
      "Prediction:\n",
      " [[-1.75276673]\n",
      " [-1.21721923]\n",
      " [-1.55340934]\n",
      " [-1.9763062 ]\n",
      " [-1.73455691]\n",
      " [-1.88416386]\n",
      " [-2.0432117 ]\n",
      " [-2.17463875]]\n",
      "216 Cost:  5.3181 \n",
      "Prediction:\n",
      " [[-1.75265431]\n",
      " [-1.21710968]\n",
      " [-1.55331707]\n",
      " [-1.9762336 ]\n",
      " [-1.73447204]\n",
      " [-1.8840816 ]\n",
      " [-2.04315448]\n",
      " [-2.17458224]]\n",
      "217 Cost:  5.31771 \n",
      "Prediction:\n",
      " [[-1.75254202]\n",
      " [-1.21699989]\n",
      " [-1.55322468]\n",
      " [-1.97616088]\n",
      " [-1.73438692]\n",
      " [-1.88399923]\n",
      " [-2.04309726]\n",
      " [-2.17452574]]\n",
      "218 Cost:  5.31733 \n",
      "Prediction:\n",
      " [[-1.75242972]\n",
      " [-1.21689034]\n",
      " [-1.55313241]\n",
      " [-1.97608829]\n",
      " [-1.73430181]\n",
      " [-1.88391685]\n",
      " [-2.04304004]\n",
      " [-2.17446947]]\n",
      "219 Cost:  5.31694 \n",
      "Prediction:\n",
      " [[-1.75231743]\n",
      " [-1.21678066]\n",
      " [-1.55304003]\n",
      " [-1.97601557]\n",
      " [-1.73421681]\n",
      " [-1.8838346 ]\n",
      " [-2.04298306]\n",
      " [-2.17441297]]\n",
      "220 Cost:  5.31656 \n",
      "Prediction:\n",
      " [[-1.75220501]\n",
      " [-1.21667099]\n",
      " [-1.55294788]\n",
      " [-1.97594285]\n",
      " [-1.73413169]\n",
      " [-1.88375223]\n",
      " [-2.04292583]\n",
      " [-2.17435646]]\n",
      "221 Cost:  5.31617 \n",
      "Prediction:\n",
      " [[-1.75209272]\n",
      " [-1.2165612 ]\n",
      " [-1.55285549]\n",
      " [-1.97587025]\n",
      " [-1.7340467 ]\n",
      " [-1.88366985]\n",
      " [-2.04286838]\n",
      " [-2.17430019]]\n",
      "222 Cost:  5.31578 \n",
      "Prediction:\n",
      " [[-1.7519803 ]\n",
      " [-1.21645153]\n",
      " [-1.55276322]\n",
      " [-1.97579753]\n",
      " [-1.73396158]\n",
      " [-1.8835876 ]\n",
      " [-2.04281139]\n",
      " [-2.17424369]]\n",
      "223 Cost:  5.3154 \n",
      "Prediction:\n",
      " [[-1.75186801]\n",
      " [-1.21634185]\n",
      " [-1.55267096]\n",
      " [-1.97572494]\n",
      " [-1.73387647]\n",
      " [-1.88350511]\n",
      " [-2.04275417]\n",
      " [-2.17418718]]\n",
      "224 Cost:  5.31501 \n",
      "Prediction:\n",
      " [[-1.75175571]\n",
      " [-1.2162323 ]\n",
      " [-1.55257869]\n",
      " [-1.97565222]\n",
      " [-1.73379147]\n",
      " [-1.88342285]\n",
      " [-2.04269695]\n",
      " [-2.17413092]]\n",
      "225 Cost:  5.31463 \n",
      "Prediction:\n",
      " [[-1.7516433 ]\n",
      " [-1.21612263]\n",
      " [-1.55248642]\n",
      " [-1.9755795 ]\n",
      " [-1.73370647]\n",
      " [-1.8833406 ]\n",
      " [-2.04263973]\n",
      " [-2.17407441]]\n",
      "226 Cost:  5.31424 \n",
      "Prediction:\n",
      " [[-1.751531  ]\n",
      " [-1.21601307]\n",
      " [-1.55239415]\n",
      " [-1.97550678]\n",
      " [-1.73362148]\n",
      " [-1.88325822]\n",
      " [-2.04258251]\n",
      " [-2.17401814]]\n",
      "227 Cost:  5.31386 \n",
      "Prediction:\n",
      " [[-1.75141859]\n",
      " [-1.21590328]\n",
      " [-1.55230188]\n",
      " [-1.9754343 ]\n",
      " [-1.73353648]\n",
      " [-1.88317585]\n",
      " [-2.04252529]\n",
      " [-2.17396164]]\n",
      "228 Cost:  5.31347 \n",
      "Prediction:\n",
      " [[-1.7513063 ]\n",
      " [-1.21579385]\n",
      " [-1.55220962]\n",
      " [-1.97536159]\n",
      " [-1.73345137]\n",
      " [-1.8830936 ]\n",
      " [-2.04246807]\n",
      " [-2.17390537]]\n",
      "229 Cost:  5.31308 \n",
      "Prediction:\n",
      " [[-1.751194  ]\n",
      " [-1.21568418]\n",
      " [-1.55211735]\n",
      " [-1.97528887]\n",
      " [-1.73336625]\n",
      " [-1.88301134]\n",
      " [-2.04241085]\n",
      " [-2.17384887]]\n",
      "230 Cost:  5.3127 \n",
      "Prediction:\n",
      " [[-1.75108171]\n",
      " [-1.21557462]\n",
      " [-1.55202508]\n",
      " [-1.97521615]\n",
      " [-1.73328125]\n",
      " [-1.88292897]\n",
      " [-2.04235363]\n",
      " [-2.1737926 ]]\n",
      "231 Cost:  5.31231 \n",
      "Prediction:\n",
      " [[-1.75096929]\n",
      " [-1.21546495]\n",
      " [-1.55193281]\n",
      " [-1.97514343]\n",
      " [-1.73319626]\n",
      " [-1.88284659]\n",
      " [-2.04229641]\n",
      " [-2.1737361 ]]\n",
      "232 Cost:  5.31193 \n",
      "Prediction:\n",
      " [[-1.750857  ]\n",
      " [-1.2153554 ]\n",
      " [-1.55184054]\n",
      " [-1.97507083]\n",
      " [-1.73311126]\n",
      " [-1.88276434]\n",
      " [-2.04223919]\n",
      " [-2.17367983]]\n",
      "233 Cost:  5.31154 \n",
      "Prediction:\n",
      " [[-1.7507447 ]\n",
      " [-1.21524596]\n",
      " [-1.55174828]\n",
      " [-1.97499824]\n",
      " [-1.73302615]\n",
      " [-1.88268209]\n",
      " [-2.04218197]\n",
      " [-2.17362332]]\n",
      "234 Cost:  5.31116 \n",
      "Prediction:\n",
      " [[-1.75063252]\n",
      " [-1.21513629]\n",
      " [-1.55165601]\n",
      " [-1.97492552]\n",
      " [-1.73294115]\n",
      " [-1.88259971]\n",
      " [-2.04212475]\n",
      " [-2.17356682]]\n",
      "235 Cost:  5.31077 \n",
      "Prediction:\n",
      " [[-1.75052023]\n",
      " [-1.21502686]\n",
      " [-1.55156398]\n",
      " [-1.97485292]\n",
      " [-1.73285615]\n",
      " [-1.88251746]\n",
      " [-2.04206753]\n",
      " [-2.17351055]]\n",
      "236 Cost:  5.31038 \n",
      "Prediction:\n",
      " [[-1.75040793]\n",
      " [-1.21491718]\n",
      " [-1.55147171]\n",
      " [-1.97478032]\n",
      " [-1.73277116]\n",
      " [-1.8824352 ]\n",
      " [-2.04201031]\n",
      " [-2.17345428]]\n",
      "237 Cost:  5.31 \n",
      "Prediction:\n",
      " [[-1.75029564]\n",
      " [-1.21480763]\n",
      " [-1.55137944]\n",
      " [-1.9747076 ]\n",
      " [-1.73268628]\n",
      " [-1.88235295]\n",
      " [-2.04195309]\n",
      " [-2.17339778]]\n",
      "238 Cost:  5.30961 \n",
      "Prediction:\n",
      " [[-1.75018334]\n",
      " [-1.21469808]\n",
      " [-1.55128717]\n",
      " [-1.974635  ]\n",
      " [-1.73260117]\n",
      " [-1.88227057]\n",
      " [-2.04189587]\n",
      " [-2.17334127]]\n",
      "239 Cost:  5.30923 \n",
      "Prediction:\n",
      " [[-1.75007117]\n",
      " [-1.21458852]\n",
      " [-1.55119503]\n",
      " [-1.97456241]\n",
      " [-1.73251617]\n",
      " [-1.88218832]\n",
      " [-2.04183888]\n",
      " [-2.17328501]]\n",
      "240 Cost:  5.30884 \n",
      "Prediction:\n",
      " [[-1.74995887]\n",
      " [-1.21447897]\n",
      " [-1.55110276]\n",
      " [-1.97448969]\n",
      " [-1.73243117]\n",
      " [-1.88210607]\n",
      " [-2.04178166]\n",
      " [-2.17322874]]\n",
      "241 Cost:  5.30846 \n",
      "Prediction:\n",
      " [[-1.74984658]\n",
      " [-1.2143693 ]\n",
      " [-1.55101049]\n",
      " [-1.97441697]\n",
      " [-1.73234618]\n",
      " [-1.88202381]\n",
      " [-2.04172444]\n",
      " [-2.17317224]]\n",
      "242 Cost:  5.30807 \n",
      "Prediction:\n",
      " [[-1.7497344 ]\n",
      " [-1.21425986]\n",
      " [-1.55091834]\n",
      " [-1.97434437]\n",
      " [-1.73226118]\n",
      " [-1.88194144]\n",
      " [-2.04166722]\n",
      " [-2.17311573]]\n",
      "243 Cost:  5.30769 \n",
      "Prediction:\n",
      " [[-1.74962211]\n",
      " [-1.21415019]\n",
      " [-1.55082607]\n",
      " [-1.97427177]\n",
      " [-1.73217618]\n",
      " [-1.88185918]\n",
      " [-2.04161   ]\n",
      " [-2.17305946]]\n",
      "244 Cost:  5.3073 \n",
      "Prediction:\n",
      " [[-1.74950981]\n",
      " [-1.21404064]\n",
      " [-1.5507338 ]\n",
      " [-1.97419906]\n",
      " [-1.73209119]\n",
      " [-1.88177681]\n",
      " [-2.04155278]\n",
      " [-2.1730032 ]]\n",
      "245 Cost:  5.30692 \n",
      "Prediction:\n",
      " [[-1.74939775]\n",
      " [-1.21393132]\n",
      " [-1.55064189]\n",
      " [-1.9741267 ]\n",
      " [-1.73200631]\n",
      " [-1.88169479]\n",
      " [-2.0414958 ]\n",
      " [-2.17294693]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "246 Cost:  5.30653 \n",
      "Prediction:\n",
      " [[-1.7492857 ]\n",
      " [-1.21382201]\n",
      " [-1.55054998]\n",
      " [-1.97405422]\n",
      " [-1.73192167]\n",
      " [-1.88161278]\n",
      " [-2.04143882]\n",
      " [-2.17289066]]\n",
      "247 Cost:  5.30615 \n",
      "Prediction:\n",
      " [[-1.74917376]\n",
      " [-1.21371269]\n",
      " [-1.55045795]\n",
      " [-1.97398186]\n",
      " [-1.7318368 ]\n",
      " [-1.88153076]\n",
      " [-2.04138184]\n",
      " [-2.17283463]]\n",
      "248 Cost:  5.30576 \n",
      "Prediction:\n",
      " [[-1.7490617 ]\n",
      " [-1.21360338]\n",
      " [-1.55036592]\n",
      " [-1.97390938]\n",
      " [-1.73175216]\n",
      " [-1.88144875]\n",
      " [-2.04132485]\n",
      " [-2.17277861]]\n",
      "249 Cost:  5.30538 \n",
      "Prediction:\n",
      " [[-1.74894977]\n",
      " [-1.21349406]\n",
      " [-1.5502739 ]\n",
      " [-1.97383714]\n",
      " [-1.73166728]\n",
      " [-1.88136673]\n",
      " [-2.04126787]\n",
      " [-2.17272234]]\n",
      "250 Cost:  5.305 \n",
      "Prediction:\n",
      " [[-1.74883771]\n",
      " [-1.21338475]\n",
      " [-1.55018198]\n",
      " [-1.97376466]\n",
      " [-1.73158252]\n",
      " [-1.88128459]\n",
      " [-2.04121089]\n",
      " [-2.17266607]]\n",
      "251 Cost:  5.30461 \n",
      "Prediction:\n",
      " [[-1.74872565]\n",
      " [-1.21327543]\n",
      " [-1.55009007]\n",
      " [-1.9736923 ]\n",
      " [-1.73149776]\n",
      " [-1.88120258]\n",
      " [-2.04115391]\n",
      " [-2.17261004]]\n",
      "252 Cost:  5.30423 \n",
      "Prediction:\n",
      " [[-1.74861372]\n",
      " [-1.213166  ]\n",
      " [-1.54999804]\n",
      " [-1.97361994]\n",
      " [-1.73141313]\n",
      " [-1.88112056]\n",
      " [-2.04109716]\n",
      " [-2.17255378]]\n",
      "253 Cost:  5.30384 \n",
      "Prediction:\n",
      " [[-1.74850166]\n",
      " [-1.2130568 ]\n",
      " [-1.54990602]\n",
      " [-1.97354746]\n",
      " [-1.73132825]\n",
      " [-1.88103843]\n",
      " [-2.04104018]\n",
      " [-2.17249775]]\n",
      "254 Cost:  5.30346 \n",
      "Prediction:\n",
      " [[-1.74838972]\n",
      " [-1.21294737]\n",
      " [-1.54981411]\n",
      " [-1.97347498]\n",
      " [-1.73124349]\n",
      " [-1.88095641]\n",
      " [-2.0409832 ]\n",
      " [-2.17244148]]\n",
      "255 Cost:  5.30308 \n",
      "Prediction:\n",
      " [[-1.74827766]\n",
      " [-1.21283817]\n",
      " [-1.54972208]\n",
      " [-1.97340262]\n",
      " [-1.73115873]\n",
      " [-1.8808744 ]\n",
      " [-2.04092622]\n",
      " [-2.17238545]]\n",
      "256 Cost:  5.30269 \n",
      "Prediction:\n",
      " [[-1.74816561]\n",
      " [-1.21272886]\n",
      " [-1.54963005]\n",
      " [-1.97333026]\n",
      " [-1.73107409]\n",
      " [-1.88079238]\n",
      " [-2.04086924]\n",
      " [-2.17232919]]\n",
      "257 Cost:  5.30231 \n",
      "Prediction:\n",
      " [[-1.74805355]\n",
      " [-1.21261954]\n",
      " [-1.54953814]\n",
      " [-1.97325778]\n",
      " [-1.73098922]\n",
      " [-1.88071036]\n",
      " [-2.04081225]\n",
      " [-2.17227316]]\n",
      "258 Cost:  5.30192 \n",
      "Prediction:\n",
      " [[-1.74794161]\n",
      " [-1.21251023]\n",
      " [-1.54944611]\n",
      " [-1.97318542]\n",
      " [-1.73090458]\n",
      " [-1.88062823]\n",
      " [-2.04075527]\n",
      " [-2.17221689]]\n",
      "259 Cost:  5.30154 \n",
      "Prediction:\n",
      " [[-1.74782968]\n",
      " [-1.21240091]\n",
      " [-1.54935408]\n",
      " [-1.97311306]\n",
      " [-1.73081982]\n",
      " [-1.88054621]\n",
      " [-2.04069829]\n",
      " [-2.17216086]]\n",
      "260 Cost:  5.30116 \n",
      "Prediction:\n",
      " [[-1.74771762]\n",
      " [-1.2122916 ]\n",
      " [-1.54926229]\n",
      " [-1.97304058]\n",
      " [-1.73073494]\n",
      " [-1.8804642 ]\n",
      " [-2.04064131]\n",
      " [-2.1721046 ]]\n",
      "261 Cost:  5.30077 \n",
      "Prediction:\n",
      " [[-1.74760556]\n",
      " [-1.21218228]\n",
      " [-1.54917026]\n",
      " [-1.97296822]\n",
      " [-1.73065019]\n",
      " [-1.88038218]\n",
      " [-2.04058433]\n",
      " [-2.17204857]]\n",
      "262 Cost:  5.30039 \n",
      "Prediction:\n",
      " [[-1.74749351]\n",
      " [-1.21207309]\n",
      " [-1.54907823]\n",
      " [-1.97289586]\n",
      " [-1.73056543]\n",
      " [-1.88030005]\n",
      " [-2.04052734]\n",
      " [-2.1719923 ]]\n",
      "263 Cost:  5.3 \n",
      "Prediction:\n",
      " [[-1.74738157]\n",
      " [-1.21196365]\n",
      " [-1.5489862 ]\n",
      " [-1.97282338]\n",
      " [-1.73048067]\n",
      " [-1.88021803]\n",
      " [-2.0404706 ]\n",
      " [-2.17193627]]\n",
      "264 Cost:  5.29962 \n",
      "Prediction:\n",
      " [[-1.74726963]\n",
      " [-1.21185446]\n",
      " [-1.54889429]\n",
      " [-1.97275102]\n",
      " [-1.73039603]\n",
      " [-1.88013601]\n",
      " [-2.04041338]\n",
      " [-2.17188001]]\n",
      "265 Cost:  5.29924 \n",
      "Prediction:\n",
      " [[-1.74715757]\n",
      " [-1.21174502]\n",
      " [-1.54880238]\n",
      " [-1.97267866]\n",
      " [-1.73031116]\n",
      " [-1.880054  ]\n",
      " [-2.04035664]\n",
      " [-2.17182398]]\n",
      "266 Cost:  5.29885 \n",
      "Prediction:\n",
      " [[-1.74704552]\n",
      " [-1.21163583]\n",
      " [-1.54871035]\n",
      " [-1.97260618]\n",
      " [-1.73022652]\n",
      " [-1.87997198]\n",
      " [-2.04029965]\n",
      " [-2.17176771]]\n",
      "267 Cost:  5.29847 \n",
      "Prediction:\n",
      " [[-1.74693358]\n",
      " [-1.21152651]\n",
      " [-1.54861832]\n",
      " [-1.97253394]\n",
      " [-1.73014164]\n",
      " [-1.87988997]\n",
      " [-2.04024267]\n",
      " [-2.17171168]]\n",
      "268 Cost:  5.29808 \n",
      "Prediction:\n",
      " [[-1.74682164]\n",
      " [-1.2114172 ]\n",
      " [-1.54852641]\n",
      " [-1.97246146]\n",
      " [-1.730057  ]\n",
      " [-1.87980795]\n",
      " [-2.04018569]\n",
      " [-2.17165542]]\n",
      "269 Cost:  5.2977 \n",
      "Prediction:\n",
      " [[-1.74670959]\n",
      " [-1.21130788]\n",
      " [-1.5484345 ]\n",
      " [-1.97238898]\n",
      " [-1.72997224]\n",
      " [-1.87972593]\n",
      " [-2.04012871]\n",
      " [-2.17159939]]\n",
      "270 Cost:  5.29732 \n",
      "Prediction:\n",
      " [[-1.74659753]\n",
      " [-1.21119857]\n",
      " [-1.54834247]\n",
      " [-1.97231662]\n",
      " [-1.72988749]\n",
      " [-1.87964392]\n",
      " [-2.04007173]\n",
      " [-2.17154312]]\n",
      "271 Cost:  5.29693 \n",
      "Prediction:\n",
      " [[-1.74648559]\n",
      " [-1.21108937]\n",
      " [-1.54825044]\n",
      " [-1.97224426]\n",
      " [-1.72980273]\n",
      " [-1.87956178]\n",
      " [-2.04001474]\n",
      " [-2.17148709]]\n",
      "272 Cost:  5.29655 \n",
      "Prediction:\n",
      " [[-1.74637365]\n",
      " [-1.21097994]\n",
      " [-1.54815865]\n",
      " [-1.97217178]\n",
      " [-1.72971797]\n",
      " [-1.87947989]\n",
      " [-2.039958  ]\n",
      " [-2.17143083]]\n",
      "273 Cost:  5.29617 \n",
      "Prediction:\n",
      " [[-1.74626184]\n",
      " [-1.21087098]\n",
      " [-1.54806674]\n",
      " [-1.97209954]\n",
      " [-1.72963333]\n",
      " [-1.87939787]\n",
      " [-2.03990078]\n",
      " [-2.1713748 ]]\n",
      "274 Cost:  5.29578 \n",
      "Prediction:\n",
      " [[-1.74615002]\n",
      " [-1.21076167]\n",
      " [-1.54797482]\n",
      " [-1.97202718]\n",
      " [-1.72954869]\n",
      " [-1.87931585]\n",
      " [-2.03984404]\n",
      " [-2.17131853]]\n",
      "275 Cost:  5.2954 \n",
      "Prediction:\n",
      " [[-1.74603808]\n",
      " [-1.21065247]\n",
      " [-1.54788291]\n",
      " [-1.97195482]\n",
      " [-1.72946393]\n",
      " [-1.87923396]\n",
      " [-2.03978705]\n",
      " [-2.1712625 ]]\n",
      "276 Cost:  5.29501 \n",
      "Prediction:\n",
      " [[-1.74592614]\n",
      " [-1.21054316]\n",
      " [-1.547791  ]\n",
      " [-1.97188246]\n",
      " [-1.72937918]\n",
      " [-1.87915182]\n",
      " [-2.03973007]\n",
      " [-2.17120624]]\n",
      "277 Cost:  5.29463 \n",
      "Prediction:\n",
      " [[-1.74581432]\n",
      " [-1.21043408]\n",
      " [-1.54769909]\n",
      " [-1.9718101 ]\n",
      " [-1.72929454]\n",
      " [-1.87906992]\n",
      " [-2.03967309]\n",
      " [-2.17115021]]\n",
      "278 Cost:  5.29425 \n",
      "Prediction:\n",
      " [[-1.74570251]\n",
      " [-1.21032476]\n",
      " [-1.54760718]\n",
      " [-1.97173786]\n",
      " [-1.7292099 ]\n",
      " [-1.87898803]\n",
      " [-2.03961611]\n",
      " [-2.17109394]]\n",
      "279 Cost:  5.29386 \n",
      "Prediction:\n",
      " [[-1.74559057]\n",
      " [-1.21021557]\n",
      " [-1.54751527]\n",
      " [-1.97166538]\n",
      " [-1.72912526]\n",
      " [-1.87890601]\n",
      " [-2.03955936]\n",
      " [-2.17103791]]\n",
      "280 Cost:  5.29348 \n",
      "Prediction:\n",
      " [[-1.74547863]\n",
      " [-1.21010637]\n",
      " [-1.54742348]\n",
      " [-1.97159314]\n",
      " [-1.72904062]\n",
      " [-1.878824  ]\n",
      " [-2.03950238]\n",
      " [-2.17098165]]\n",
      "281 Cost:  5.2931 \n",
      "Prediction:\n",
      " [[-1.74536681]\n",
      " [-1.20999718]\n",
      " [-1.54733157]\n",
      " [-1.97152078]\n",
      " [-1.72895586]\n",
      " [-1.8787421 ]\n",
      " [-2.0394454 ]\n",
      " [-2.17092562]]\n",
      "282 Cost:  5.29271 \n",
      "Prediction:\n",
      " [[-1.74525499]\n",
      " [-1.20988798]\n",
      " [-1.54723954]\n",
      " [-1.97144842]\n",
      " [-1.72887123]\n",
      " [-1.87866008]\n",
      " [-2.03938842]\n",
      " [-2.17086935]]\n",
      "283 Cost:  5.29233 \n",
      "Prediction:\n",
      " [[-1.74514318]\n",
      " [-1.20977879]\n",
      " [-1.54714775]\n",
      " [-1.97137618]\n",
      " [-1.72878659]\n",
      " [-1.87857819]\n",
      " [-2.03933144]\n",
      " [-2.17081332]]\n",
      "284 Cost:  5.29195 \n",
      "Prediction:\n",
      " [[-1.74503124]\n",
      " [-1.20966959]\n",
      " [-1.54705584]\n",
      " [-1.97130382]\n",
      " [-1.72870183]\n",
      " [-1.87849617]\n",
      " [-2.03927469]\n",
      " [-2.17075706]]\n",
      "285 Cost:  5.29156 \n",
      "Prediction:\n",
      " [[-1.74491942]\n",
      " [-1.20956028]\n",
      " [-1.54696405]\n",
      " [-1.97123146]\n",
      " [-1.72861719]\n",
      " [-1.87841415]\n",
      " [-2.03921771]\n",
      " [-2.17070103]]\n",
      "286 Cost:  5.29118 \n",
      "Prediction:\n",
      " [[-1.74480748]\n",
      " [-1.2094512 ]\n",
      " [-1.54687202]\n",
      " [-1.9711591 ]\n",
      " [-1.72853255]\n",
      " [-1.87833214]\n",
      " [-2.03916073]\n",
      " [-2.17064476]]\n",
      "287 Cost:  5.2908 \n",
      "Prediction:\n",
      " [[-1.74469566]\n",
      " [-1.209342  ]\n",
      " [-1.54678023]\n",
      " [-1.97108674]\n",
      " [-1.72844791]\n",
      " [-1.87825024]\n",
      " [-2.03910398]\n",
      " [-2.17058873]]\n",
      "288 Cost:  5.29041 \n",
      "Prediction:\n",
      " [[-1.74458385]\n",
      " [-1.20923269]\n",
      " [-1.54668832]\n",
      " [-1.9710145 ]\n",
      " [-1.72836316]\n",
      " [-1.87816823]\n",
      " [-2.039047  ]\n",
      " [-2.17053246]]\n",
      "289 Cost:  5.29003 \n",
      "Prediction:\n",
      " [[-1.74447191]\n",
      " [-1.20912337]\n",
      " [-1.54659641]\n",
      " [-1.97094202]\n",
      " [-1.72827852]\n",
      " [-1.87808633]\n",
      " [-2.03899002]\n",
      " [-2.17047644]]\n",
      "290 Cost:  5.28965 \n",
      "Prediction:\n",
      " [[-1.74436009]\n",
      " [-1.20901442]\n",
      " [-1.5465045 ]\n",
      " [-1.97086978]\n",
      " [-1.72819388]\n",
      " [-1.87800431]\n",
      " [-2.03893304]\n",
      " [-2.17042017]]\n",
      "291 Cost:  5.28926 \n",
      "Prediction:\n",
      " [[-1.74424815]\n",
      " [-1.2089051 ]\n",
      " [-1.54641271]\n",
      " [-1.97079742]\n",
      " [-1.72810912]\n",
      " [-1.8779223 ]\n",
      " [-2.03887606]\n",
      " [-2.17036414]]\n",
      "292 Cost:  5.28888 \n",
      "Prediction:\n",
      " [[-1.74413633]\n",
      " [-1.20879579]\n",
      " [-1.54632068]\n",
      " [-1.97072506]\n",
      " [-1.72802448]\n",
      " [-1.8778404 ]\n",
      " [-2.03881907]\n",
      " [-2.17030787]]\n",
      "293 Cost:  5.2885 \n",
      "Prediction:\n",
      " [[-1.74402452]\n",
      " [-1.20868671]\n",
      " [-1.54622877]\n",
      " [-1.97065282]\n",
      " [-1.72793984]\n",
      " [-1.8777585 ]\n",
      " [-2.03876209]\n",
      " [-2.17025185]]\n",
      "294 Cost:  5.28812 \n",
      "Prediction:\n",
      " [[-1.7439127 ]\n",
      " [-1.20857751]\n",
      " [-1.54613698]\n",
      " [-1.97058034]\n",
      " [-1.72785521]\n",
      " [-1.87767649]\n",
      " [-2.03870535]\n",
      " [-2.17019558]]\n",
      "295 Cost:  5.28773 \n",
      "Prediction:\n",
      " [[-1.74380076]\n",
      " [-1.20846832]\n",
      " [-1.54604506]\n",
      " [-1.9705081 ]\n",
      " [-1.72777057]\n",
      " [-1.87759447]\n",
      " [-2.03864837]\n",
      " [-2.17013931]]\n",
      "296 Cost:  5.28735 \n",
      "Prediction:\n",
      " [[-1.74368882]\n",
      " [-1.208359  ]\n",
      " [-1.54595315]\n",
      " [-1.97043574]\n",
      " [-1.72768581]\n",
      " [-1.87751245]\n",
      " [-2.03859138]\n",
      " [-2.17008328]]\n",
      "297 Cost:  5.28697 \n",
      "Prediction:\n",
      " [[-1.743577  ]\n",
      " [-1.20824981]\n",
      " [-1.54586136]\n",
      " [-1.97036338]\n",
      " [-1.72760105]\n",
      " [-1.87743056]\n",
      " [-2.03853464]\n",
      " [-2.17002726]]\n",
      "298 Cost:  5.28658 \n",
      "Prediction:\n",
      " [[-1.74346519]\n",
      " [-1.20814073]\n",
      " [-1.54576945]\n",
      " [-1.97029102]\n",
      " [-1.72751641]\n",
      " [-1.87734866]\n",
      " [-2.03847766]\n",
      " [-2.16997099]]\n",
      "299 Cost:  5.2862 \n",
      "Prediction:\n",
      " [[-1.74335337]\n",
      " [-1.20803154]\n",
      " [-1.54567742]\n",
      " [-1.97021866]\n",
      " [-1.72743177]\n",
      " [-1.87726665]\n",
      " [-2.03842068]\n",
      " [-2.16991472]]\n",
      "300 Cost:  5.28582 \n",
      "Prediction:\n",
      " [[-1.74324155]\n",
      " [-1.20792222]\n",
      " [-1.54558563]\n",
      " [-1.97014642]\n",
      " [-1.72734714]\n",
      " [-1.87718463]\n",
      " [-2.0383637 ]\n",
      " [-2.16985869]]\n",
      "301 Cost:  5.28543 \n",
      "Prediction:\n",
      " [[-1.74312973]\n",
      " [-1.20781302]\n",
      " [-1.54549372]\n",
      " [-1.97007406]\n",
      " [-1.7272625 ]\n",
      " [-1.87710261]\n",
      " [-2.03830671]\n",
      " [-2.16980267]]\n",
      "302 Cost:  5.28505 \n",
      "Prediction:\n",
      " [[-1.74301779]\n",
      " [-1.20770407]\n",
      " [-1.54540193]\n",
      " [-1.9700017 ]\n",
      " [-1.72717786]\n",
      " [-1.87702084]\n",
      " [-2.03824997]\n",
      " [-2.1697464 ]]\n",
      "303 Cost:  5.28467 \n",
      "Prediction:\n",
      " [[-1.74290597]\n",
      " [-1.20759463]\n",
      " [-1.54531002]\n",
      " [-1.96992946]\n",
      " [-1.7270931 ]\n",
      " [-1.87693882]\n",
      " [-2.03819299]\n",
      " [-2.16969013]]\n",
      "304 Cost:  5.28428 \n",
      "Prediction:\n",
      " [[-1.74279416]\n",
      " [-1.20748556]\n",
      " [-1.54521811]\n",
      " [-1.9698571 ]\n",
      " [-1.72700858]\n",
      " [-1.8768568 ]\n",
      " [-2.03813601]\n",
      " [-2.1696341 ]]\n",
      "305 Cost:  5.2839 \n",
      "Prediction:\n",
      " [[-1.74268246]\n",
      " [-1.20737636]\n",
      " [-1.54512632]\n",
      " [-1.96978474]\n",
      " [-1.72692382]\n",
      " [-1.87677491]\n",
      " [-2.03807902]\n",
      " [-2.16957808]]\n",
      "306 Cost:  5.28352 \n",
      "Prediction:\n",
      " [[-1.74257064]\n",
      " [-1.20726728]\n",
      " [-1.54503441]\n",
      " [-1.9697125 ]\n",
      " [-1.72683918]\n",
      " [-1.87669301]\n",
      " [-2.03802204]\n",
      " [-2.16952181]]\n",
      "307 Cost:  5.28314 \n",
      "Prediction:\n",
      " [[-1.74245882]\n",
      " [-1.20715809]\n",
      " [-1.54494262]\n",
      " [-1.96964025]\n",
      " [-1.72675467]\n",
      " [-1.87661099]\n",
      " [-2.0379653 ]\n",
      " [-2.16946578]]\n",
      "308 Cost:  5.28275 \n",
      "Prediction:\n",
      " [[-1.742347  ]\n",
      " [-1.20704901]\n",
      " [-1.54485071]\n",
      " [-1.96956778]\n",
      " [-1.72666991]\n",
      " [-1.8765291 ]\n",
      " [-2.03790832]\n",
      " [-2.16940951]]\n",
      "309 Cost:  5.28237 \n",
      "Prediction:\n",
      " [[-1.74223518]\n",
      " [-1.2069397 ]\n",
      " [-1.54475892]\n",
      " [-1.96949553]\n",
      " [-1.72658539]\n",
      " [-1.8764472 ]\n",
      " [-2.03785133]\n",
      " [-2.16935349]]\n",
      "310 Cost:  5.28199 \n",
      "Prediction:\n",
      " [[-1.74212337]\n",
      " [-1.2068305 ]\n",
      " [-1.54466712]\n",
      " [-1.96942329]\n",
      " [-1.72650051]\n",
      " [-1.87636518]\n",
      " [-2.03779435]\n",
      " [-2.16929722]]\n",
      "311 Cost:  5.28161 \n",
      "Prediction:\n",
      " [[-1.74201167]\n",
      " [-1.20672154]\n",
      " [-1.54457521]\n",
      " [-1.96935081]\n",
      " [-1.72641599]\n",
      " [-1.87628329]\n",
      " [-2.03773737]\n",
      " [-2.16924119]]\n",
      "312 Cost:  5.28122 \n",
      "Prediction:\n",
      " [[-1.74189985]\n",
      " [-1.20661235]\n",
      " [-1.54448342]\n",
      " [-1.96927857]\n",
      " [-1.72633135]\n",
      " [-1.87620139]\n",
      " [-2.03768063]\n",
      " [-2.16918492]]\n",
      "313 Cost:  5.28084 \n",
      "Prediction:\n",
      " [[-1.74178815]\n",
      " [-1.20650315]\n",
      " [-1.54439139]\n",
      " [-1.96920633]\n",
      " [-1.72624671]\n",
      " [-1.87611938]\n",
      " [-2.03762364]\n",
      " [-2.16912889]]\n",
      "314 Cost:  5.28046 \n",
      "Prediction:\n",
      " [[-1.74167633]\n",
      " [-1.20639396]\n",
      " [-1.54429972]\n",
      " [-1.96913397]\n",
      " [-1.72616196]\n",
      " [-1.87603748]\n",
      " [-2.03756666]\n",
      " [-2.16907263]]\n",
      "315 Cost:  5.28007 \n",
      "Prediction:\n",
      " [[-1.74156451]\n",
      " [-1.206285  ]\n",
      " [-1.54420781]\n",
      " [-1.96906161]\n",
      " [-1.72607744]\n",
      " [-1.87595558]\n",
      " [-2.03750968]\n",
      " [-2.1690166 ]]\n",
      "316 Cost:  5.27969 \n",
      "Prediction:\n",
      " [[-1.74145269]\n",
      " [-1.20617592]\n",
      " [-1.54411602]\n",
      " [-1.96898937]\n",
      " [-1.7259928 ]\n",
      " [-1.87587357]\n",
      " [-2.03745294]\n",
      " [-2.16896057]]\n",
      "317 Cost:  5.27931 \n",
      "Prediction:\n",
      " [[-1.74134099]\n",
      " [-1.20606685]\n",
      " [-1.54402423]\n",
      " [-1.96891701]\n",
      " [-1.72590828]\n",
      " [-1.87579179]\n",
      " [-2.03739595]\n",
      " [-2.1689043 ]]\n",
      "318 Cost:  5.27893 \n",
      "Prediction:\n",
      " [[-1.74122918]\n",
      " [-1.20595765]\n",
      " [-1.54393244]\n",
      " [-1.96884465]\n",
      " [-1.72582364]\n",
      " [-1.87570977]\n",
      " [-2.03733897]\n",
      " [-2.16884828]]\n",
      "319 Cost:  5.27854 \n",
      "Prediction:\n",
      " [[-1.74111748]\n",
      " [-1.20584869]\n",
      " [-1.54384065]\n",
      " [-1.96877241]\n",
      " [-1.725739  ]\n",
      " [-1.87562799]\n",
      " [-2.03728199]\n",
      " [-2.16879201]]\n",
      "320 Cost:  5.27816 \n",
      "Prediction:\n",
      " [[-1.74100566]\n",
      " [-1.2057395 ]\n",
      " [-1.54374886]\n",
      " [-1.96870017]\n",
      " [-1.72565436]\n",
      " [-1.87554598]\n",
      " [-2.03722525]\n",
      " [-2.16873598]]\n",
      "321 Cost:  5.27778 \n",
      "Prediction:\n",
      " [[-1.74089384]\n",
      " [-1.20563054]\n",
      " [-1.54365695]\n",
      " [-1.96862781]\n",
      " [-1.72556973]\n",
      " [-1.87546408]\n",
      " [-2.03716826]\n",
      " [-2.16867995]]\n",
      "322 Cost:  5.2774 \n",
      "Prediction:\n",
      " [[-1.74078214]\n",
      " [-1.20552135]\n",
      " [-1.54356515]\n",
      " [-1.96855545]\n",
      " [-1.72548509]\n",
      " [-1.87538218]\n",
      " [-2.03711128]\n",
      " [-2.16862369]]\n",
      "323 Cost:  5.27701 \n",
      "Prediction:\n",
      " [[-1.74067032]\n",
      " [-1.20541215]\n",
      " [-1.54347324]\n",
      " [-1.96848321]\n",
      " [-1.72540057]\n",
      " [-1.87530029]\n",
      " [-2.03705454]\n",
      " [-2.16856766]]\n",
      "324 Cost:  5.27663 \n",
      "Prediction:\n",
      " [[-1.74055862]\n",
      " [-1.20530319]\n",
      " [-1.54338157]\n",
      " [-1.96841097]\n",
      " [-1.72531581]\n",
      " [-1.87521839]\n",
      " [-2.03699756]\n",
      " [-2.16851163]]\n",
      "325 Cost:  5.27625 \n",
      "Prediction:\n",
      " [[-1.74044681]\n",
      " [-1.20519412]\n",
      " [-1.54328966]\n",
      " [-1.96833849]\n",
      " [-1.72523129]\n",
      " [-1.87513649]\n",
      " [-2.03694057]\n",
      " [-2.16845536]]\n",
      "326 Cost:  5.27587 \n",
      "Prediction:\n",
      " [[-1.74033499]\n",
      " [-1.20508504]\n",
      " [-1.54319799]\n",
      " [-1.96826625]\n",
      " [-1.72514665]\n",
      " [-1.8750546 ]\n",
      " [-2.03688359]\n",
      " [-2.16839933]]\n",
      "327 Cost:  5.27548 \n",
      "Prediction:\n",
      " [[-1.74022317]\n",
      " [-1.20497596]\n",
      " [-1.54310608]\n",
      " [-1.96819401]\n",
      " [-1.72506201]\n",
      " [-1.87497258]\n",
      " [-2.03682661]\n",
      " [-2.16834307]]\n",
      "328 Cost:  5.2751 \n",
      "Prediction:\n",
      " [[-1.74011147]\n",
      " [-1.20486689]\n",
      " [-1.54301429]\n",
      " [-1.96812177]\n",
      " [-1.72497749]\n",
      " [-1.87489069]\n",
      " [-2.03676987]\n",
      " [-2.16828704]]\n",
      "329 Cost:  5.27472 \n",
      "Prediction:\n",
      " [[-1.73999977]\n",
      " [-1.20475781]\n",
      " [-1.5429225 ]\n",
      " [-1.96804953]\n",
      " [-1.72489285]\n",
      " [-1.87480879]\n",
      " [-2.03671288]\n",
      " [-2.16823101]]\n",
      "330 Cost:  5.27434 \n",
      "Prediction:\n",
      " [[-1.73988795]\n",
      " [-1.20464873]\n",
      " [-1.54283071]\n",
      " [-1.96797705]\n",
      " [-1.72480822]\n",
      " [-1.87472689]\n",
      " [-2.0366559 ]\n",
      " [-2.16817474]]\n",
      "331 Cost:  5.27396 \n",
      "Prediction:\n",
      " [[-1.73977613]\n",
      " [-1.20453954]\n",
      " [-1.54273891]\n",
      " [-1.96790481]\n",
      " [-1.72472358]\n",
      " [-1.87464499]\n",
      " [-2.03659916]\n",
      " [-2.16811872]]\n",
      "332 Cost:  5.27357 \n",
      "Prediction:\n",
      " [[-1.73966444]\n",
      " [-1.20443058]\n",
      " [-1.542647  ]\n",
      " [-1.96783257]\n",
      " [-1.72463894]\n",
      " [-1.8745631 ]\n",
      " [-2.03654218]\n",
      " [-2.16806269]]\n",
      "333 Cost:  5.27319 \n",
      "Prediction:\n",
      " [[-1.73955262]\n",
      " [-1.2043215 ]\n",
      " [-1.54255521]\n",
      " [-1.96776021]\n",
      " [-1.72455442]\n",
      " [-1.8744812 ]\n",
      " [-2.0364852 ]\n",
      " [-2.16800642]]\n",
      "334 Cost:  5.27281 \n",
      "Prediction:\n",
      " [[-1.73944092]\n",
      " [-1.20421243]\n",
      " [-1.54246354]\n",
      " [-1.96768785]\n",
      " [-1.72446978]\n",
      " [-1.8743993 ]\n",
      " [-2.03642845]\n",
      " [-2.16795039]]\n",
      "335 Cost:  5.27243 \n",
      "Prediction:\n",
      " [[-1.7393291 ]\n",
      " [-1.20410323]\n",
      " [-1.54237163]\n",
      " [-1.9676156 ]\n",
      " [-1.72438514]\n",
      " [-1.87431741]\n",
      " [-2.03637147]\n",
      " [-2.16789436]]\n",
      "336 Cost:  5.27204 \n",
      "Prediction:\n",
      " [[-1.7392174 ]\n",
      " [-1.20399427]\n",
      " [-1.54227996]\n",
      " [-1.96754336]\n",
      " [-1.72430062]\n",
      " [-1.87423551]\n",
      " [-2.03631449]\n",
      " [-2.1678381 ]]\n",
      "337 Cost:  5.27166 \n",
      "Prediction:\n",
      " [[-1.73910558]\n",
      " [-1.20388532]\n",
      " [-1.54218805]\n",
      " [-1.967471  ]\n",
      " [-1.72421598]\n",
      " [-1.87415361]\n",
      " [-2.03625751]\n",
      " [-2.16778207]]\n",
      "338 Cost:  5.27128 \n",
      "Prediction:\n",
      " [[-1.73899388]\n",
      " [-1.20377612]\n",
      " [-1.54209626]\n",
      " [-1.96739864]\n",
      " [-1.72413135]\n",
      " [-1.87407172]\n",
      " [-2.03620052]\n",
      " [-2.16772604]]\n",
      "339 Cost:  5.2709 \n",
      "Prediction:\n",
      " [[-1.73888206]\n",
      " [-1.20366693]\n",
      " [-1.54200447]\n",
      " [-1.9673264 ]\n",
      " [-1.72404671]\n",
      " [-1.8739897 ]\n",
      " [-2.03614378]\n",
      " [-2.16766977]]\n",
      "340 Cost:  5.27052 \n",
      "Prediction:\n",
      " [[-1.73877037]\n",
      " [-1.20355797]\n",
      " [-1.54191267]\n",
      " [-1.96725416]\n",
      " [-1.72396207]\n",
      " [-1.8739078 ]\n",
      " [-2.0360868 ]\n",
      " [-2.16761374]]\n",
      "341 Cost:  5.27013 \n",
      "Prediction:\n",
      " [[-1.73865855]\n",
      " [-1.20344901]\n",
      " [-1.54182076]\n",
      " [-1.9671818 ]\n",
      " [-1.72387755]\n",
      " [-1.87382603]\n",
      " [-2.03602982]\n",
      " [-2.16755772]]\n",
      "342 Cost:  5.26975 \n",
      "Prediction:\n",
      " [[-1.73854685]\n",
      " [-1.20333982]\n",
      " [-1.54172897]\n",
      " [-1.96710944]\n",
      " [-1.72379291]\n",
      " [-1.87374401]\n",
      " [-2.03597307]\n",
      " [-2.16750145]]\n",
      "343 Cost:  5.26937 \n",
      "Prediction:\n",
      " [[-1.73843503]\n",
      " [-1.20323074]\n",
      " [-1.5416373 ]\n",
      " [-1.9670372 ]\n",
      " [-1.72370839]\n",
      " [-1.87366211]\n",
      " [-2.03591609]\n",
      " [-2.16744542]]\n",
      "344 Cost:  5.26899 \n",
      "Prediction:\n",
      " [[-1.73832333]\n",
      " [-1.20312166]\n",
      " [-1.54154539]\n",
      " [-1.96696496]\n",
      " [-1.72362375]\n",
      " [-1.87358022]\n",
      " [-2.03585911]\n",
      " [-2.16738939]]\n",
      "345 Cost:  5.2686 \n",
      "Prediction:\n",
      " [[-1.73821151]\n",
      " [-1.2030127 ]\n",
      " [-1.5414536 ]\n",
      " [-1.9668926 ]\n",
      " [-1.72353911]\n",
      " [-1.87349832]\n",
      " [-2.03580236]\n",
      " [-2.16733313]]\n",
      "346 Cost:  5.26822 \n",
      "Prediction:\n",
      " [[-1.73809981]\n",
      " [-1.20290351]\n",
      " [-1.54136181]\n",
      " [-1.96682024]\n",
      " [-1.72345448]\n",
      " [-1.87341642]\n",
      " [-2.03574538]\n",
      " [-2.1672771 ]]\n",
      "347 Cost:  5.26784 \n",
      "Prediction:\n",
      " [[-1.737988  ]\n",
      " [-1.20279455]\n",
      " [-1.54127002]\n",
      " [-1.966748  ]\n",
      " [-1.72336984]\n",
      " [-1.87333453]\n",
      " [-2.0356884 ]\n",
      " [-2.16722107]]\n",
      "348 Cost:  5.26746 \n",
      "Prediction:\n",
      " [[-1.7378763 ]\n",
      " [-1.20268536]\n",
      " [-1.54117823]\n",
      " [-1.96667576]\n",
      " [-1.72328532]\n",
      " [-1.87325263]\n",
      " [-2.03563166]\n",
      " [-2.1671648 ]]\n",
      "349 Cost:  5.26708 \n",
      "Prediction:\n",
      " [[-1.7377646 ]\n",
      " [-1.2025764 ]\n",
      " [-1.54108644]\n",
      " [-1.9666034 ]\n",
      " [-1.72320068]\n",
      " [-1.87317073]\n",
      " [-2.03557467]\n",
      " [-2.16710877]]\n",
      "350 Cost:  5.26669 \n",
      "Prediction:\n",
      " [[-1.73765278]\n",
      " [-1.20246732]\n",
      " [-1.54099464]\n",
      " [-1.96653104]\n",
      " [-1.72311616]\n",
      " [-1.87308884]\n",
      " [-2.03551769]\n",
      " [-2.16705251]]\n",
      "351 Cost:  5.26631 \n",
      "Prediction:\n",
      " [[-1.73754108]\n",
      " [-1.20235825]\n",
      " [-1.54090285]\n",
      " [-1.9664588 ]\n",
      " [-1.72303152]\n",
      " [-1.87300694]\n",
      " [-2.03546071]\n",
      " [-2.16699648]]\n",
      "352 Cost:  5.26593 \n",
      "Prediction:\n",
      " [[-1.73742938]\n",
      " [-1.20224905]\n",
      " [-1.54081106]\n",
      " [-1.96638656]\n",
      " [-1.72294688]\n",
      " [-1.87292504]\n",
      " [-2.03540397]\n",
      " [-2.16694045]]\n",
      "353 Cost:  5.26555 \n",
      "Prediction:\n",
      " [[-1.73731756]\n",
      " [-1.20214009]\n",
      " [-1.54071927]\n",
      " [-1.96631432]\n",
      " [-1.72286236]\n",
      " [-1.87284315]\n",
      " [-2.03534698]\n",
      " [-2.16688418]]\n",
      "354 Cost:  5.26517 \n",
      "Prediction:\n",
      " [[-1.73720574]\n",
      " [-1.20203102]\n",
      " [-1.54062748]\n",
      " [-1.96624196]\n",
      " [-1.72277772]\n",
      " [-1.87276125]\n",
      " [-2.03529   ]\n",
      " [-2.16682816]]\n",
      "355 Cost:  5.26478 \n",
      "Prediction:\n",
      " [[-1.73709404]\n",
      " [-1.20192194]\n",
      " [-1.54053569]\n",
      " [-1.96616971]\n",
      " [-1.72269309]\n",
      " [-1.87267935]\n",
      " [-2.03523302]\n",
      " [-2.16677213]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "356 Cost:  5.2644 \n",
      "Prediction:\n",
      " [[-1.73698235]\n",
      " [-1.20181286]\n",
      " [-1.5404439 ]\n",
      " [-1.96609735]\n",
      " [-1.72260857]\n",
      " [-1.87259746]\n",
      " [-2.03517628]\n",
      " [-2.16671586]]\n",
      "357 Cost:  5.26402 \n",
      "Prediction:\n",
      " [[-1.73687053]\n",
      " [-1.20170391]\n",
      " [-1.54035211]\n",
      " [-1.96602511]\n",
      " [-1.72252393]\n",
      " [-1.87251556]\n",
      " [-2.0351193 ]\n",
      " [-2.16665983]]\n",
      "358 Cost:  5.26364 \n",
      "Prediction:\n",
      " [[-1.73675883]\n",
      " [-1.20159483]\n",
      " [-1.54026031]\n",
      " [-1.96595275]\n",
      " [-1.72243929]\n",
      " [-1.87243366]\n",
      " [-2.03506231]\n",
      " [-2.1666038 ]]\n",
      "359 Cost:  5.26326 \n",
      "Prediction:\n",
      " [[-1.73664713]\n",
      " [-1.20148563]\n",
      " [-1.54016852]\n",
      " [-1.96588051]\n",
      " [-1.72235465]\n",
      " [-1.87235177]\n",
      " [-2.03500557]\n",
      " [-2.16654754]]\n",
      "360 Cost:  5.26288 \n",
      "Prediction:\n",
      " [[-1.73653531]\n",
      " [-1.20137668]\n",
      " [-1.54007673]\n",
      " [-1.96580827]\n",
      " [-1.72227013]\n",
      " [-1.87226987]\n",
      " [-2.03494859]\n",
      " [-2.16649151]]\n",
      "361 Cost:  5.26249 \n",
      "Prediction:\n",
      " [[-1.73642361]\n",
      " [-1.20126748]\n",
      " [-1.53998494]\n",
      " [-1.96573591]\n",
      " [-1.72218561]\n",
      " [-1.87218797]\n",
      " [-2.03489161]\n",
      " [-2.16643524]]\n",
      "362 Cost:  5.26211 \n",
      "Prediction:\n",
      " [[-1.73631191]\n",
      " [-1.20115852]\n",
      " [-1.53989315]\n",
      " [-1.96566367]\n",
      " [-1.72210085]\n",
      " [-1.87210608]\n",
      " [-2.03483486]\n",
      " [-2.16637921]]\n",
      "363 Cost:  5.26173 \n",
      "Prediction:\n",
      " [[-1.73620009]\n",
      " [-1.20104945]\n",
      " [-1.53980136]\n",
      " [-1.96559143]\n",
      " [-1.72201622]\n",
      " [-1.8720243 ]\n",
      " [-2.03477788]\n",
      " [-2.16632318]]\n",
      "364 Cost:  5.26135 \n",
      "Prediction:\n",
      " [[-1.7360884 ]\n",
      " [-1.20094037]\n",
      " [-1.53970957]\n",
      " [-1.96551907]\n",
      " [-1.7219317 ]\n",
      " [-1.87194228]\n",
      " [-2.0347209 ]\n",
      " [-2.16626692]]\n",
      "365 Cost:  5.26097 \n",
      "Prediction:\n",
      " [[-1.7359767 ]\n",
      " [-1.20083141]\n",
      " [-1.53961778]\n",
      " [-1.96544671]\n",
      " [-1.72184706]\n",
      " [-1.8718605 ]\n",
      " [-2.03466392]\n",
      " [-2.16621089]]\n",
      "366 Cost:  5.26058 \n",
      "Prediction:\n",
      " [[-1.73586488]\n",
      " [-1.20072246]\n",
      " [-1.53952599]\n",
      " [-1.96537447]\n",
      " [-1.72176242]\n",
      " [-1.87177849]\n",
      " [-2.03460717]\n",
      " [-2.16615486]]\n",
      "367 Cost:  5.2602 \n",
      "Prediction:\n",
      " [[-1.73575318]\n",
      " [-1.20061326]\n",
      " [-1.53943419]\n",
      " [-1.96530223]\n",
      " [-1.7216779 ]\n",
      " [-1.87169671]\n",
      " [-2.03455019]\n",
      " [-2.16609859]]\n",
      "368 Cost:  5.25982 \n",
      "Prediction:\n",
      " [[-1.73564148]\n",
      " [-1.2005043 ]\n",
      " [-1.5393424 ]\n",
      " [-1.96522987]\n",
      " [-1.72159326]\n",
      " [-1.87161481]\n",
      " [-2.03449321]\n",
      " [-2.16604257]]\n",
      "369 Cost:  5.25944 \n",
      "Prediction:\n",
      " [[-1.73552978]\n",
      " [-1.20039511]\n",
      " [-1.53925061]\n",
      " [-1.96515751]\n",
      " [-1.72150874]\n",
      " [-1.87153292]\n",
      " [-2.03443623]\n",
      " [-2.16598654]]\n",
      "370 Cost:  5.25906 \n",
      "Prediction:\n",
      " [[-1.73541808]\n",
      " [-1.20028615]\n",
      " [-1.53915882]\n",
      " [-1.96508527]\n",
      " [-1.7214241 ]\n",
      " [-1.87145102]\n",
      " [-2.03437948]\n",
      " [-2.16593027]]\n",
      "371 Cost:  5.25868 \n",
      "Prediction:\n",
      " [[-1.73530626]\n",
      " [-1.20017719]\n",
      " [-1.53906703]\n",
      " [-1.96501303]\n",
      " [-1.72133946]\n",
      " [-1.87136912]\n",
      " [-2.0343225 ]\n",
      " [-2.16587424]]\n",
      "372 Cost:  5.25829 \n",
      "Prediction:\n",
      " [[-1.73519456]\n",
      " [-1.200068  ]\n",
      " [-1.53897524]\n",
      " [-1.96494079]\n",
      " [-1.72125494]\n",
      " [-1.87128723]\n",
      " [-2.03426552]\n",
      " [-2.16581821]]\n",
      "373 Cost:  5.25791 \n",
      "Prediction:\n",
      " [[-1.73508286]\n",
      " [-1.19995892]\n",
      " [-1.53888357]\n",
      " [-1.96486843]\n",
      " [-1.72117031]\n",
      " [-1.87120533]\n",
      " [-2.03420877]\n",
      " [-2.16576195]]\n",
      "374 Cost:  5.25753 \n",
      "Prediction:\n",
      " [[-1.73497105]\n",
      " [-1.19984996]\n",
      " [-1.53879178]\n",
      " [-1.96479607]\n",
      " [-1.72108579]\n",
      " [-1.87112343]\n",
      " [-2.03415179]\n",
      " [-2.16570592]]\n",
      "375 Cost:  5.25715 \n",
      "Prediction:\n",
      " [[-1.73485935]\n",
      " [-1.19974089]\n",
      " [-1.53869998]\n",
      " [-1.96472383]\n",
      " [-1.72100115]\n",
      " [-1.87104154]\n",
      " [-2.03409481]\n",
      " [-2.16564989]]\n",
      "376 Cost:  5.25677 \n",
      "Prediction:\n",
      " [[-1.73474765]\n",
      " [-1.19963181]\n",
      " [-1.53860819]\n",
      " [-1.96465158]\n",
      " [-1.72091663]\n",
      " [-1.87095976]\n",
      " [-2.03403807]\n",
      " [-2.16559362]]\n",
      "377 Cost:  5.25639 \n",
      "Prediction:\n",
      " [[-1.73463607]\n",
      " [-1.19952273]\n",
      " [-1.53851652]\n",
      " [-1.96457934]\n",
      " [-1.72083199]\n",
      " [-1.87087786]\n",
      " [-2.03398108]\n",
      " [-2.1655376 ]]\n",
      "378 Cost:  5.25601 \n",
      "Prediction:\n",
      " [[-1.73452437]\n",
      " [-1.19941378]\n",
      " [-1.53842473]\n",
      " [-1.9645071 ]\n",
      " [-1.72074747]\n",
      " [-1.87079597]\n",
      " [-2.0339241 ]\n",
      " [-2.16548157]]\n",
      "379 Cost:  5.25562 \n",
      "Prediction:\n",
      " [[-1.73441267]\n",
      " [-1.19930482]\n",
      " [-1.53833294]\n",
      " [-1.96443486]\n",
      " [-1.72066283]\n",
      " [-1.87071407]\n",
      " [-2.03386712]\n",
      " [-2.1654253 ]]\n",
      "380 Cost:  5.25524 \n",
      "Prediction:\n",
      " [[-1.73430109]\n",
      " [-1.19919586]\n",
      " [-1.53824115]\n",
      " [-1.96436262]\n",
      " [-1.72057831]\n",
      " [-1.87063229]\n",
      " [-2.03381038]\n",
      " [-2.16536927]]\n",
      "381 Cost:  5.25486 \n",
      "Prediction:\n",
      " [[-1.73418939]\n",
      " [-1.19908679]\n",
      " [-1.53814936]\n",
      " [-1.96429026]\n",
      " [-1.72049379]\n",
      " [-1.87055039]\n",
      " [-2.0337534 ]\n",
      " [-2.16531324]]\n",
      "382 Cost:  5.25448 \n",
      "Prediction:\n",
      " [[-1.73407769]\n",
      " [-1.19897771]\n",
      " [-1.5380578 ]\n",
      " [-1.96421802]\n",
      " [-1.72040915]\n",
      " [-1.87046862]\n",
      " [-2.03369641]\n",
      " [-2.16525698]]\n",
      "383 Cost:  5.2541 \n",
      "Prediction:\n",
      " [[-1.73396611]\n",
      " [-1.19886887]\n",
      " [-1.53796601]\n",
      " [-1.96414578]\n",
      " [-1.72032475]\n",
      " [-1.8703866 ]\n",
      " [-2.03363967]\n",
      " [-2.16520095]]\n",
      "384 Cost:  5.25372 \n",
      "Prediction:\n",
      " [[-1.73385441]\n",
      " [-1.19875979]\n",
      " [-1.53787422]\n",
      " [-1.96407342]\n",
      " [-1.72024012]\n",
      " [-1.87030482]\n",
      " [-2.03358269]\n",
      " [-2.16514492]]\n",
      "385 Cost:  5.25334 \n",
      "Prediction:\n",
      " [[-1.73374271]\n",
      " [-1.19865084]\n",
      " [-1.53778243]\n",
      " [-1.96400118]\n",
      " [-1.72015548]\n",
      " [-1.87022293]\n",
      " [-2.03352571]\n",
      " [-2.16508865]]\n",
      "386 Cost:  5.25295 \n",
      "Prediction:\n",
      " [[-1.73363113]\n",
      " [-1.19854188]\n",
      " [-1.53769064]\n",
      " [-1.96392894]\n",
      " [-1.72007096]\n",
      " [-1.87014115]\n",
      " [-2.03346872]\n",
      " [-2.16503263]]\n",
      "387 Cost:  5.25257 \n",
      "Prediction:\n",
      " [[-1.73351943]\n",
      " [-1.19843292]\n",
      " [-1.53759897]\n",
      " [-1.9638567 ]\n",
      " [-1.71998644]\n",
      " [-1.87005925]\n",
      " [-2.03341198]\n",
      " [-2.1649766 ]]\n",
      "388 Cost:  5.25219 \n",
      "Prediction:\n",
      " [[-1.73340774]\n",
      " [-1.19832373]\n",
      " [-1.53750718]\n",
      " [-1.96378446]\n",
      " [-1.71990192]\n",
      " [-1.86997747]\n",
      " [-2.033355  ]\n",
      " [-2.16492033]]\n",
      "389 Cost:  5.25181 \n",
      "Prediction:\n",
      " [[-1.73329639]\n",
      " [-1.19821501]\n",
      " [-1.53741574]\n",
      " [-1.96371245]\n",
      " [-1.71981752]\n",
      " [-1.86989582]\n",
      " [-2.03329825]\n",
      " [-2.16486454]]\n",
      "390 Cost:  5.25143 \n",
      "Prediction:\n",
      " [[-1.73318493]\n",
      " [-1.19810629]\n",
      " [-1.53732419]\n",
      " [-1.96364045]\n",
      " [-1.71973324]\n",
      " [-1.86981416]\n",
      " [-2.03324175]\n",
      " [-2.16480875]]\n",
      "391 Cost:  5.25105 \n",
      "Prediction:\n",
      " [[-1.73307347]\n",
      " [-1.19799757]\n",
      " [-1.53723264]\n",
      " [-1.96356833]\n",
      " [-1.71964896]\n",
      " [-1.86973262]\n",
      " [-2.03318501]\n",
      " [-2.16475272]]\n",
      "392 Cost:  5.25067 \n",
      "Prediction:\n",
      " [[-1.73296213]\n",
      " [-1.19788885]\n",
      " [-1.53714108]\n",
      " [-1.96349621]\n",
      " [-1.71956456]\n",
      " [-1.86965096]\n",
      " [-2.03312826]\n",
      " [-2.16469693]]\n",
      "393 Cost:  5.25029 \n",
      "Prediction:\n",
      " [[-1.73285079]\n",
      " [-1.19778001]\n",
      " [-1.53704965]\n",
      " [-1.96342432]\n",
      " [-1.71948028]\n",
      " [-1.8695693 ]\n",
      " [-2.03307152]\n",
      " [-2.1646409 ]]\n",
      "394 Cost:  5.24991 \n",
      "Prediction:\n",
      " [[-1.73273933]\n",
      " [-1.19767118]\n",
      " [-1.53695822]\n",
      " [-1.9633522 ]\n",
      " [-1.719396  ]\n",
      " [-1.86948776]\n",
      " [-2.03301501]\n",
      " [-2.16458511]]\n",
      "395 Cost:  5.24953 \n",
      "Prediction:\n",
      " [[-1.73262787]\n",
      " [-1.19756246]\n",
      " [-1.53686666]\n",
      " [-1.9632802 ]\n",
      " [-1.71931159]\n",
      " [-1.8694061 ]\n",
      " [-2.03295827]\n",
      " [-2.16452932]]\n",
      "396 Cost:  5.24915 \n",
      "Prediction:\n",
      " [[-1.73251653]\n",
      " [-1.19745374]\n",
      " [-1.53677511]\n",
      " [-1.9632082 ]\n",
      " [-1.71922731]\n",
      " [-1.86932445]\n",
      " [-2.03290176]\n",
      " [-2.16447353]]\n",
      "397 Cost:  5.24877 \n",
      "Prediction:\n",
      " [[-1.73240519]\n",
      " [-1.19734502]\n",
      " [-1.53668368]\n",
      " [-1.9631362 ]\n",
      " [-1.71914315]\n",
      " [-1.86924291]\n",
      " [-2.03284502]\n",
      " [-2.16441751]]\n",
      "398 Cost:  5.24839 \n",
      "Prediction:\n",
      " [[-1.73229384]\n",
      " [-1.19723654]\n",
      " [-1.53659225]\n",
      " [-1.96306419]\n",
      " [-1.71905875]\n",
      " [-1.86916137]\n",
      " [-2.03278828]\n",
      " [-2.16436172]]\n",
      "399 Cost:  5.24801 \n",
      "Prediction:\n",
      " [[-1.73218262]\n",
      " [-1.19712782]\n",
      " [-1.53650081]\n",
      " [-1.96299219]\n",
      " [-1.71897459]\n",
      " [-1.86907983]\n",
      " [-2.03273177]\n",
      " [-2.16430569]]\n",
      "400 Cost:  5.24763 \n",
      "Prediction:\n",
      " [[-1.7320714 ]\n",
      " [-1.1970191 ]\n",
      " [-1.53640938]\n",
      " [-1.96292031]\n",
      " [-1.71889031]\n",
      " [-1.86899829]\n",
      " [-2.03267503]\n",
      " [-2.1642499 ]]\n",
      "401 Cost:  5.24725 \n",
      "Prediction:\n",
      " [[-1.73196006]\n",
      " [-1.19691038]\n",
      " [-1.53631794]\n",
      " [-1.96284842]\n",
      " [-1.71880615]\n",
      " [-1.86891675]\n",
      " [-2.03261852]\n",
      " [-2.16419411]]\n",
      "402 Cost:  5.24687 \n",
      "Prediction:\n",
      " [[-1.73184872]\n",
      " [-1.19680166]\n",
      " [-1.53622651]\n",
      " [-1.96277642]\n",
      " [-1.71872187]\n",
      " [-1.86883521]\n",
      " [-2.03256178]\n",
      " [-2.16413832]]\n",
      "403 Cost:  5.24649 \n",
      "Prediction:\n",
      " [[-1.73173749]\n",
      " [-1.19669294]\n",
      " [-1.5361352 ]\n",
      " [-1.96270442]\n",
      " [-1.71863759]\n",
      " [-1.86875367]\n",
      " [-2.03250504]\n",
      " [-2.16408229]]\n",
      "404 Cost:  5.24611 \n",
      "Prediction:\n",
      " [[-1.73162627]\n",
      " [-1.19658434]\n",
      " [-1.53604364]\n",
      " [-1.96263242]\n",
      " [-1.7185533 ]\n",
      " [-1.86867201]\n",
      " [-2.03244853]\n",
      " [-2.1640265 ]]\n",
      "405 Cost:  5.24573 \n",
      "Prediction:\n",
      " [[-1.73151493]\n",
      " [-1.19647574]\n",
      " [-1.53595233]\n",
      " [-1.96256053]\n",
      " [-1.71846914]\n",
      " [-1.86859047]\n",
      " [-2.03239179]\n",
      " [-2.16397071]]\n",
      "406 Cost:  5.24536 \n",
      "Prediction:\n",
      " [[-1.73140359]\n",
      " [-1.19636726]\n",
      " [-1.5358609 ]\n",
      " [-1.96248853]\n",
      " [-1.71838486]\n",
      " [-1.86850905]\n",
      " [-2.03233528]\n",
      " [-2.16391468]]\n",
      "407 Cost:  5.24498 \n",
      "Prediction:\n",
      " [[-1.73129237]\n",
      " [-1.19625854]\n",
      " [-1.53576946]\n",
      " [-1.96241665]\n",
      " [-1.71830058]\n",
      " [-1.8684274 ]\n",
      " [-2.03227854]\n",
      " [-2.16385889]]\n",
      "408 Cost:  5.2446 \n",
      "Prediction:\n",
      " [[-1.73118114]\n",
      " [-1.19614995]\n",
      " [-1.53567815]\n",
      " [-1.96234465]\n",
      " [-1.71821642]\n",
      " [-1.86834598]\n",
      " [-2.03222203]\n",
      " [-2.1638031 ]]\n",
      "409 Cost:  5.24422 \n",
      "Prediction:\n",
      " [[-1.7310698 ]\n",
      " [-1.19604135]\n",
      " [-1.53558671]\n",
      " [-1.96227264]\n",
      " [-1.71813226]\n",
      " [-1.86826444]\n",
      " [-2.03216529]\n",
      " [-2.16374731]]\n",
      "410 Cost:  5.24384 \n",
      "Prediction:\n",
      " [[-1.73095846]\n",
      " [-1.19593287]\n",
      " [-1.53549528]\n",
      " [-1.96220064]\n",
      " [-1.71804798]\n",
      " [-1.8681829 ]\n",
      " [-2.03210878]\n",
      " [-2.16369152]]\n",
      "411 Cost:  5.24346 \n",
      "Prediction:\n",
      " [[-1.73084724]\n",
      " [-1.19582415]\n",
      " [-1.53540397]\n",
      " [-1.96212876]\n",
      " [-1.7179637 ]\n",
      " [-1.86810136]\n",
      " [-2.03205204]\n",
      " [-2.16363573]]\n",
      "412 Cost:  5.24308 \n",
      "Prediction:\n",
      " [[-1.73073602]\n",
      " [-1.19571555]\n",
      " [-1.53531241]\n",
      " [-1.96205688]\n",
      " [-1.71787953]\n",
      " [-1.86801982]\n",
      " [-2.0319953 ]\n",
      " [-2.1635797 ]]\n",
      "413 Cost:  5.2427 \n",
      "Prediction:\n",
      " [[-1.73062468]\n",
      " [-1.19560695]\n",
      " [-1.5352211 ]\n",
      " [-1.96198487]\n",
      " [-1.71779525]\n",
      " [-1.86793828]\n",
      " [-2.03193879]\n",
      " [-2.16352391]]\n",
      "414 Cost:  5.24232 \n",
      "Prediction:\n",
      " [[-1.73051333]\n",
      " [-1.19549847]\n",
      " [-1.53512979]\n",
      " [-1.96191287]\n",
      " [-1.71771109]\n",
      " [-1.86785674]\n",
      " [-2.03188229]\n",
      " [-2.16346812]]\n",
      "415 Cost:  5.24194 \n",
      "Prediction:\n",
      " [[-1.73040211]\n",
      " [-1.19538975]\n",
      " [-1.53503835]\n",
      " [-1.96184087]\n",
      " [-1.71762681]\n",
      " [-1.8677752 ]\n",
      " [-2.03182554]\n",
      " [-2.16341233]]\n",
      "416 Cost:  5.24156 \n",
      "Prediction:\n",
      " [[-1.73029089]\n",
      " [-1.19528127]\n",
      " [-1.53494704]\n",
      " [-1.96176898]\n",
      " [-1.71754265]\n",
      " [-1.86769366]\n",
      " [-2.0317688 ]\n",
      " [-2.1633563 ]]\n",
      "417 Cost:  5.24118 \n",
      "Prediction:\n",
      " [[-1.73017955]\n",
      " [-1.19517267]\n",
      " [-1.5348556 ]\n",
      " [-1.9616971 ]\n",
      " [-1.71745849]\n",
      " [-1.86761212]\n",
      " [-2.03171229]\n",
      " [-2.16330051]]\n",
      "418 Cost:  5.2408 \n",
      "Prediction:\n",
      " [[-1.73006833]\n",
      " [-1.19506407]\n",
      " [-1.53476417]\n",
      " [-1.9616251 ]\n",
      " [-1.71737432]\n",
      " [-1.86753058]\n",
      " [-2.03165555]\n",
      " [-2.16324472]]\n",
      "419 Cost:  5.24042 \n",
      "Prediction:\n",
      " [[-1.7299571 ]\n",
      " [-1.19495535]\n",
      " [-1.53467286]\n",
      " [-1.9615531 ]\n",
      " [-1.71729004]\n",
      " [-1.86744905]\n",
      " [-2.03159904]\n",
      " [-2.16318893]]\n",
      "420 Cost:  5.24004 \n",
      "Prediction:\n",
      " [[-1.72984576]\n",
      " [-1.19484687]\n",
      " [-1.53458142]\n",
      " [-1.96148121]\n",
      " [-1.71720576]\n",
      " [-1.86736751]\n",
      " [-2.0315423 ]\n",
      " [-2.16313314]]\n",
      "421 Cost:  5.23966 \n",
      "Prediction:\n",
      " [[-1.72973454]\n",
      " [-1.19473827]\n",
      " [-1.53449011]\n",
      " [-1.96140921]\n",
      " [-1.7171216 ]\n",
      " [-1.86728597]\n",
      " [-2.0314858 ]\n",
      " [-2.16307712]]\n",
      "422 Cost:  5.23929 \n",
      "Prediction:\n",
      " [[-1.72962332]\n",
      " [-1.19462967]\n",
      " [-1.53439867]\n",
      " [-1.96133733]\n",
      " [-1.71703744]\n",
      " [-1.86720443]\n",
      " [-2.03142905]\n",
      " [-2.16302133]]\n",
      "423 Cost:  5.23891 \n",
      "Prediction:\n",
      " [[-1.72951198]\n",
      " [-1.19452107]\n",
      " [-1.53430724]\n",
      " [-1.96126533]\n",
      " [-1.71695316]\n",
      " [-1.86712289]\n",
      " [-2.03137255]\n",
      " [-2.16296554]]\n",
      "424 Cost:  5.23853 \n",
      "Prediction:\n",
      " [[-1.72940063]\n",
      " [-1.19441235]\n",
      " [-1.53421593]\n",
      " [-1.96119332]\n",
      " [-1.71686888]\n",
      " [-1.86704147]\n",
      " [-2.0313158 ]\n",
      " [-2.16290975]]\n",
      "425 Cost:  5.23815 \n",
      "Prediction:\n",
      " [[-1.72928941]\n",
      " [-1.19430375]\n",
      " [-1.53412449]\n",
      " [-1.96112132]\n",
      " [-1.71678472]\n",
      " [-1.86695993]\n",
      " [-2.0312593 ]\n",
      " [-2.16285396]]\n",
      "426 Cost:  5.23777 \n",
      "Prediction:\n",
      " [[-1.72917819]\n",
      " [-1.19419527]\n",
      " [-1.53403306]\n",
      " [-1.96104944]\n",
      " [-1.71670043]\n",
      " [-1.86687839]\n",
      " [-2.03120255]\n",
      " [-2.16279793]]\n",
      "427 Cost:  5.23739 \n",
      "Prediction:\n",
      " [[-1.72906685]\n",
      " [-1.19408655]\n",
      " [-1.53394175]\n",
      " [-1.96097744]\n",
      " [-1.71661639]\n",
      " [-1.86679685]\n",
      " [-2.03114605]\n",
      " [-2.16274214]]\n",
      "428 Cost:  5.23701 \n",
      "Prediction:\n",
      " [[-1.72895563]\n",
      " [-1.19397807]\n",
      " [-1.53385043]\n",
      " [-1.96090555]\n",
      " [-1.71653211]\n",
      " [-1.86671543]\n",
      " [-2.03108931]\n",
      " [-2.16268635]]\n",
      "429 Cost:  5.23663 \n",
      "Prediction:\n",
      " [[-1.7288444 ]\n",
      " [-1.19386947]\n",
      " [-1.533759  ]\n",
      " [-1.96083355]\n",
      " [-1.71644783]\n",
      " [-1.86663377]\n",
      " [-2.0310328 ]\n",
      " [-2.16263056]]\n",
      "430 Cost:  5.23625 \n",
      "Prediction:\n",
      " [[-1.72873306]\n",
      " [-1.19376087]\n",
      " [-1.53366756]\n",
      " [-1.96076155]\n",
      " [-1.71636367]\n",
      " [-1.86655223]\n",
      " [-2.03097606]\n",
      " [-2.16257477]]\n",
      "431 Cost:  5.23587 \n",
      "Prediction:\n",
      " [[-1.72862184]\n",
      " [-1.19365215]\n",
      " [-1.53357613]\n",
      " [-1.96068966]\n",
      " [-1.71627939]\n",
      " [-1.86647081]\n",
      " [-2.03091955]\n",
      " [-2.16251874]]\n",
      "432 Cost:  5.23549 \n",
      "Prediction:\n",
      " [[-1.72851062]\n",
      " [-1.19354367]\n",
      " [-1.5334847 ]\n",
      " [-1.96061778]\n",
      " [-1.71619511]\n",
      " [-1.86638927]\n",
      " [-2.03086281]\n",
      " [-2.16246295]]\n",
      "433 Cost:  5.23512 \n",
      "Prediction:\n",
      " [[-1.72839928]\n",
      " [-1.19343519]\n",
      " [-1.53339338]\n",
      " [-1.96054578]\n",
      " [-1.71611094]\n",
      " [-1.86630774]\n",
      " [-2.03080606]\n",
      " [-2.16240716]]\n",
      "434 Cost:  5.23474 \n",
      "Prediction:\n",
      " [[-1.72828805]\n",
      " [-1.19332647]\n",
      " [-1.53330207]\n",
      " [-1.96047378]\n",
      " [-1.71602678]\n",
      " [-1.8662262 ]\n",
      " [-2.03074956]\n",
      " [-2.16235137]]\n",
      "435 Cost:  5.23436 \n",
      "Prediction:\n",
      " [[-1.72817683]\n",
      " [-1.19321787]\n",
      " [-1.53321075]\n",
      " [-1.96040177]\n",
      " [-1.71594262]\n",
      " [-1.86614466]\n",
      " [-2.03069305]\n",
      " [-2.16229534]]\n",
      "436 Cost:  5.23398 \n",
      "Prediction:\n",
      " [[-1.72806561]\n",
      " [-1.19310927]\n",
      " [-1.5331192 ]\n",
      " [-1.96032989]\n",
      " [-1.71585834]\n",
      " [-1.86606312]\n",
      " [-2.03063631]\n",
      " [-2.16223955]]\n",
      "437 Cost:  5.2336 \n",
      "Prediction:\n",
      " [[-1.72795439]\n",
      " [-1.19300079]\n",
      " [-1.53302789]\n",
      " [-1.96025801]\n",
      " [-1.71577406]\n",
      " [-1.86598158]\n",
      " [-2.03057957]\n",
      " [-2.16218376]]\n",
      "438 Cost:  5.23322 \n",
      "Prediction:\n",
      " [[-1.72784305]\n",
      " [-1.19289219]\n",
      " [-1.53293657]\n",
      " [-1.960186  ]\n",
      " [-1.7156899 ]\n",
      " [-1.86590016]\n",
      " [-2.03052306]\n",
      " [-2.16212797]]\n",
      "439 Cost:  5.23284 \n",
      "Prediction:\n",
      " [[-1.72773182]\n",
      " [-1.19278359]\n",
      " [-1.53284514]\n",
      " [-1.96011412]\n",
      " [-1.71560574]\n",
      " [-1.86581862]\n",
      " [-2.03046656]\n",
      " [-2.16207218]]\n",
      "440 Cost:  5.23246 \n",
      "Prediction:\n",
      " [[-1.7276206 ]\n",
      " [-1.19267511]\n",
      " [-1.53275371]\n",
      " [-1.96004212]\n",
      " [-1.71552145]\n",
      " [-1.86573708]\n",
      " [-2.03040981]\n",
      " [-2.16201639]]\n",
      "441 Cost:  5.23208 \n",
      "Prediction:\n",
      " [[-1.72750926]\n",
      " [-1.19256651]\n",
      " [-1.53266239]\n",
      " [-1.95997024]\n",
      " [-1.71543729]\n",
      " [-1.86565554]\n",
      " [-2.03035307]\n",
      " [-2.1619606 ]]\n",
      "442 Cost:  5.2317 \n",
      "Prediction:\n",
      " [[-1.72739804]\n",
      " [-1.19245791]\n",
      " [-1.53257108]\n",
      " [-1.95989823]\n",
      " [-1.71535301]\n",
      " [-1.86557412]\n",
      " [-2.03029656]\n",
      " [-2.16190457]]\n",
      "443 Cost:  5.23133 \n",
      "Prediction:\n",
      " [[-1.72728682]\n",
      " [-1.1923492 ]\n",
      " [-1.53247976]\n",
      " [-1.95982623]\n",
      " [-1.71526885]\n",
      " [-1.86549258]\n",
      " [-2.03023982]\n",
      " [-2.16184878]]\n",
      "444 Cost:  5.23095 \n",
      "Prediction:\n",
      " [[-1.72717559]\n",
      " [-1.19224072]\n",
      " [-1.53238821]\n",
      " [-1.95975435]\n",
      " [-1.71518469]\n",
      " [-1.86541104]\n",
      " [-2.03018332]\n",
      " [-2.16179299]]\n",
      "445 Cost:  5.23057 \n",
      "Prediction:\n",
      " [[-1.72706437]\n",
      " [-1.19213223]\n",
      " [-1.5322969 ]\n",
      " [-1.95968246]\n",
      " [-1.71510041]\n",
      " [-1.8653295 ]\n",
      " [-2.03012657]\n",
      " [-2.1617372 ]]\n",
      "446 Cost:  5.23019 \n",
      "Prediction:\n",
      " [[-1.72695303]\n",
      " [-1.19202352]\n",
      " [-1.53220558]\n",
      " [-1.95961046]\n",
      " [-1.71501625]\n",
      " [-1.86524796]\n",
      " [-2.03007007]\n",
      " [-2.16168118]]\n",
      "447 Cost:  5.22981 \n",
      "Prediction:\n",
      " [[-1.72684181]\n",
      " [-1.1919148 ]\n",
      " [-1.53211415]\n",
      " [-1.95953846]\n",
      " [-1.71493196]\n",
      " [-1.86516643]\n",
      " [-2.03001332]\n",
      " [-2.16162539]]\n",
      "448 Cost:  5.22943 \n",
      "Prediction:\n",
      " [[-1.72673059]\n",
      " [-1.19180632]\n",
      " [-1.53202271]\n",
      " [-1.95946658]\n",
      " [-1.71484792]\n",
      " [-1.86508501]\n",
      " [-2.02995682]\n",
      " [-2.1615696 ]]\n",
      "449 Cost:  5.22905 \n",
      "Prediction:\n",
      " [[-1.72661948]\n",
      " [-1.19169784]\n",
      " [-1.5319314 ]\n",
      " [-1.95939469]\n",
      " [-1.71476364]\n",
      " [-1.86500347]\n",
      " [-2.02990007]\n",
      " [-2.16151381]]\n",
      "450 Cost:  5.22867 \n",
      "Prediction:\n",
      " [[-1.72650826]\n",
      " [-1.19158936]\n",
      " [-1.53184009]\n",
      " [-1.95932269]\n",
      " [-1.71467948]\n",
      " [-1.86492205]\n",
      " [-2.02984357]\n",
      " [-2.16145802]]\n",
      "451 Cost:  5.2283 \n",
      "Prediction:\n",
      " [[-1.72639704]\n",
      " [-1.19148088]\n",
      " [-1.53174877]\n",
      " [-1.95925069]\n",
      " [-1.71459532]\n",
      " [-1.86484051]\n",
      " [-2.02978683]\n",
      " [-2.16140199]]\n",
      "452 Cost:  5.22792 \n",
      "Prediction:\n",
      " [[-1.72628593]\n",
      " [-1.19137216]\n",
      " [-1.53165734]\n",
      " [-1.95917881]\n",
      " [-1.71451116]\n",
      " [-1.86475897]\n",
      " [-2.02973032]\n",
      " [-2.1613462 ]]\n",
      "453 Cost:  5.22754 \n",
      "Prediction:\n",
      " [[-1.72617471]\n",
      " [-1.19126368]\n",
      " [-1.53156614]\n",
      " [-1.95910692]\n",
      " [-1.71442699]\n",
      " [-1.86467743]\n",
      " [-2.02967358]\n",
      " [-2.16129041]]\n",
      "454 Cost:  5.22716 \n",
      "Prediction:\n",
      " [[-1.72606349]\n",
      " [-1.1911552 ]\n",
      " [-1.53147483]\n",
      " [-1.95903492]\n",
      " [-1.71434283]\n",
      " [-1.86459601]\n",
      " [-2.02961707]\n",
      " [-2.16123462]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "455 Cost:  5.22678 \n",
      "Prediction:\n",
      " [[-1.72595239]\n",
      " [-1.19104671]\n",
      " [-1.5313834 ]\n",
      " [-1.95896304]\n",
      " [-1.71425867]\n",
      " [-1.86451459]\n",
      " [-2.02956033]\n",
      " [-2.16117883]]\n",
      "456 Cost:  5.2264 \n",
      "Prediction:\n",
      " [[-1.72584116]\n",
      " [-1.19093823]\n",
      " [-1.53129208]\n",
      " [-1.95889115]\n",
      " [-1.71417451]\n",
      " [-1.86443305]\n",
      " [-2.02950382]\n",
      " [-2.16112304]]\n",
      "457 Cost:  5.22602 \n",
      "Prediction:\n",
      " [[-1.72572994]\n",
      " [-1.19082952]\n",
      " [-1.53120077]\n",
      " [-1.95881915]\n",
      " [-1.71409023]\n",
      " [-1.86435151]\n",
      " [-2.02944708]\n",
      " [-2.16106701]]\n",
      "458 Cost:  5.22565 \n",
      "Prediction:\n",
      " [[-1.72561884]\n",
      " [-1.19072104]\n",
      " [-1.53110933]\n",
      " [-1.95874727]\n",
      " [-1.71400607]\n",
      " [-1.86427021]\n",
      " [-2.02939057]\n",
      " [-2.16101122]]\n",
      "459 Cost:  5.22527 \n",
      "Prediction:\n",
      " [[-1.72550774]\n",
      " [-1.19061255]\n",
      " [-1.53101802]\n",
      " [-1.95867538]\n",
      " [-1.7139219 ]\n",
      " [-1.86418867]\n",
      " [-2.02933383]\n",
      " [-2.16095543]]\n",
      "460 Cost:  5.22489 \n",
      "Prediction:\n",
      " [[-1.72539651]\n",
      " [-1.19050407]\n",
      " [-1.5309267 ]\n",
      " [-1.95860338]\n",
      " [-1.71383774]\n",
      " [-1.86410713]\n",
      " [-2.02927732]\n",
      " [-2.16089964]]\n",
      "461 Cost:  5.22451 \n",
      "Prediction:\n",
      " [[-1.72528529]\n",
      " [-1.19039559]\n",
      " [-1.53083539]\n",
      " [-1.9585315 ]\n",
      " [-1.71375358]\n",
      " [-1.86402559]\n",
      " [-2.02922058]\n",
      " [-2.16084385]]\n",
      "462 Cost:  5.22413 \n",
      "Prediction:\n",
      " [[-1.72517419]\n",
      " [-1.19028687]\n",
      " [-1.53074408]\n",
      " [-1.95845962]\n",
      " [-1.7136693 ]\n",
      " [-1.86394417]\n",
      " [-2.02916408]\n",
      " [-2.16078806]]\n",
      "463 Cost:  5.22375 \n",
      "Prediction:\n",
      " [[-1.72506297]\n",
      " [-1.19017839]\n",
      " [-1.53065264]\n",
      " [-1.95838761]\n",
      " [-1.71358514]\n",
      " [-1.86386275]\n",
      " [-2.02910733]\n",
      " [-2.16073203]]\n",
      "464 Cost:  5.22337 \n",
      "Prediction:\n",
      " [[-1.72495174]\n",
      " [-1.19006991]\n",
      " [-1.53056145]\n",
      " [-1.95831573]\n",
      " [-1.71350098]\n",
      " [-1.86378121]\n",
      " [-2.02905083]\n",
      " [-2.16067624]]\n",
      "465 Cost:  5.223 \n",
      "Prediction:\n",
      " [[-1.72484064]\n",
      " [-1.18996143]\n",
      " [-1.53047001]\n",
      " [-1.95824385]\n",
      " [-1.71341681]\n",
      " [-1.86369967]\n",
      " [-2.02899408]\n",
      " [-2.16062045]]\n",
      "466 Cost:  5.22262 \n",
      "Prediction:\n",
      " [[-1.72472942]\n",
      " [-1.18985295]\n",
      " [-1.5303787 ]\n",
      " [-1.95817184]\n",
      " [-1.71333265]\n",
      " [-1.86361825]\n",
      " [-2.02893734]\n",
      " [-2.16056466]]\n",
      "467 Cost:  5.22224 \n",
      "Prediction:\n",
      " [[-1.7246182 ]\n",
      " [-1.18974435]\n",
      " [-1.53028738]\n",
      " [-1.95809996]\n",
      " [-1.71324849]\n",
      " [-1.86353683]\n",
      " [-2.02888083]\n",
      " [-2.16050863]]\n",
      "468 Cost:  5.22186 \n",
      "Prediction:\n",
      " [[-1.72450709]\n",
      " [-1.18963587]\n",
      " [-1.53019595]\n",
      " [-1.95802808]\n",
      " [-1.71316433]\n",
      " [-1.8634553 ]\n",
      " [-2.02882433]\n",
      " [-2.16045284]]\n",
      "469 Cost:  5.22148 \n",
      "Prediction:\n",
      " [[-1.72439599]\n",
      " [-1.18952727]\n",
      " [-1.53010464]\n",
      " [-1.95795608]\n",
      " [-1.71308017]\n",
      " [-1.86337376]\n",
      " [-2.02876759]\n",
      " [-2.16039705]]\n",
      "470 Cost:  5.2211 \n",
      "Prediction:\n",
      " [[-1.72428477]\n",
      " [-1.18941867]\n",
      " [-1.53001332]\n",
      " [-1.95788419]\n",
      " [-1.71299601]\n",
      " [-1.86329234]\n",
      " [-2.02871084]\n",
      " [-2.16034126]]\n",
      "471 Cost:  5.22073 \n",
      "Prediction:\n",
      " [[-1.72417355]\n",
      " [-1.18931019]\n",
      " [-1.52992201]\n",
      " [-1.95781231]\n",
      " [-1.71291184]\n",
      " [-1.8632108 ]\n",
      " [-2.02865434]\n",
      " [-2.16028547]]\n",
      "472 Cost:  5.22035 \n",
      "Prediction:\n",
      " [[-1.72406244]\n",
      " [-1.18920159]\n",
      " [-1.52983069]\n",
      " [-1.95774031]\n",
      " [-1.71282768]\n",
      " [-1.86312938]\n",
      " [-2.02859783]\n",
      " [-2.16022968]]\n",
      "473 Cost:  5.21997 \n",
      "Prediction:\n",
      " [[-1.72395134]\n",
      " [-1.18909311]\n",
      " [-1.52973938]\n",
      " [-1.95766842]\n",
      " [-1.7127434 ]\n",
      " [-1.86304784]\n",
      " [-2.02854109]\n",
      " [-2.16017389]]\n",
      "474 Cost:  5.21959 \n",
      "Prediction:\n",
      " [[-1.72384012]\n",
      " [-1.18898463]\n",
      " [-1.52964807]\n",
      " [-1.95759654]\n",
      " [-1.71265936]\n",
      " [-1.86296642]\n",
      " [-2.02848458]\n",
      " [-2.16011786]]\n",
      "475 Cost:  5.21921 \n",
      "Prediction:\n",
      " [[-1.7237289 ]\n",
      " [-1.18887615]\n",
      " [-1.52955675]\n",
      " [-1.95752466]\n",
      " [-1.7125752 ]\n",
      " [-1.86288488]\n",
      " [-2.02842784]\n",
      " [-2.16006207]]\n",
      "476 Cost:  5.21883 \n",
      "Prediction:\n",
      " [[-1.72361779]\n",
      " [-1.18876767]\n",
      " [-1.52946532]\n",
      " [-1.95745265]\n",
      " [-1.71249104]\n",
      " [-1.86280346]\n",
      " [-2.02837133]\n",
      " [-2.16000628]]\n",
      "477 Cost:  5.21846 \n",
      "Prediction:\n",
      " [[-1.72350669]\n",
      " [-1.18865907]\n",
      " [-1.529374  ]\n",
      " [-1.95738077]\n",
      " [-1.71240687]\n",
      " [-1.86272192]\n",
      " [-2.02831459]\n",
      " [-2.15995049]]\n",
      "478 Cost:  5.21808 \n",
      "Prediction:\n",
      " [[-1.72339547]\n",
      " [-1.18855059]\n",
      " [-1.52928269]\n",
      " [-1.95730877]\n",
      " [-1.71232259]\n",
      " [-1.86264038]\n",
      " [-2.02825785]\n",
      " [-2.15989447]]\n",
      "479 Cost:  5.2177 \n",
      "Prediction:\n",
      " [[-1.72328424]\n",
      " [-1.18844199]\n",
      " [-1.52919137]\n",
      " [-1.95723701]\n",
      " [-1.71223855]\n",
      " [-1.86255908]\n",
      " [-2.02820134]\n",
      " [-2.15983868]]\n",
      "480 Cost:  5.21732 \n",
      "Prediction:\n",
      " [[-1.72317314]\n",
      " [-1.18833351]\n",
      " [-1.52910006]\n",
      " [-1.957165  ]\n",
      " [-1.71215439]\n",
      " [-1.86247754]\n",
      " [-2.02814484]\n",
      " [-2.15978289]]\n",
      "481 Cost:  5.21694 \n",
      "Prediction:\n",
      " [[-1.72306204]\n",
      " [-1.18822503]\n",
      " [-1.52900875]\n",
      " [-1.957093  ]\n",
      " [-1.71207023]\n",
      " [-1.862396  ]\n",
      " [-2.02808809]\n",
      " [-2.1597271 ]]\n",
      "482 Cost:  5.21657 \n",
      "Prediction:\n",
      " [[-1.72295082]\n",
      " [-1.18811655]\n",
      " [-1.52891731]\n",
      " [-1.95702124]\n",
      " [-1.71198595]\n",
      " [-1.86231458]\n",
      " [-2.02803135]\n",
      " [-2.15967131]]\n",
      "483 Cost:  5.21619 \n",
      "Prediction:\n",
      " [[-1.72283971]\n",
      " [-1.18800807]\n",
      " [-1.528826  ]\n",
      " [-1.95694923]\n",
      " [-1.7119019 ]\n",
      " [-1.86223316]\n",
      " [-2.02797484]\n",
      " [-2.15961552]]\n",
      "484 Cost:  5.21581 \n",
      "Prediction:\n",
      " [[-1.72272849]\n",
      " [-1.18789947]\n",
      " [-1.52873468]\n",
      " [-1.95687735]\n",
      " [-1.71181774]\n",
      " [-1.86215162]\n",
      " [-2.02791834]\n",
      " [-2.15955949]]\n",
      "485 Cost:  5.21543 \n",
      "Prediction:\n",
      " [[-1.72261739]\n",
      " [-1.18779099]\n",
      " [-1.52864337]\n",
      " [-1.95680547]\n",
      " [-1.71173346]\n",
      " [-1.86207008]\n",
      " [-2.0278616 ]\n",
      " [-2.1595037 ]]\n",
      "486 Cost:  5.21505 \n",
      "Prediction:\n",
      " [[-1.72250628]\n",
      " [-1.18768251]\n",
      " [-1.52855206]\n",
      " [-1.95673347]\n",
      " [-1.7116493 ]\n",
      " [-1.86198866]\n",
      " [-2.02780485]\n",
      " [-2.15944791]]\n",
      "487 Cost:  5.21467 \n",
      "Prediction:\n",
      " [[-1.72239506]\n",
      " [-1.18757391]\n",
      " [-1.52846074]\n",
      " [-1.95666158]\n",
      " [-1.71156514]\n",
      " [-1.86190724]\n",
      " [-2.02774835]\n",
      " [-2.15939212]]\n",
      "488 Cost:  5.2143 \n",
      "Prediction:\n",
      " [[-1.72228396]\n",
      " [-1.18746543]\n",
      " [-1.52836943]\n",
      " [-1.9565897 ]\n",
      " [-1.71148109]\n",
      " [-1.8618257 ]\n",
      " [-2.02769184]\n",
      " [-2.15933633]]\n",
      "489 Cost:  5.21392 \n",
      "Prediction:\n",
      " [[-1.72217274]\n",
      " [-1.18735695]\n",
      " [-1.52827811]\n",
      " [-1.9565177 ]\n",
      " [-1.71139693]\n",
      " [-1.86174428]\n",
      " [-2.0276351 ]\n",
      " [-2.1592803 ]]\n",
      "490 Cost:  5.21354 \n",
      "Prediction:\n",
      " [[-1.72206163]\n",
      " [-1.18724847]\n",
      " [-1.5281868 ]\n",
      " [-1.95644593]\n",
      " [-1.71131265]\n",
      " [-1.86166286]\n",
      " [-2.02757859]\n",
      " [-2.15922451]]\n",
      "491 Cost:  5.21316 \n",
      "Prediction:\n",
      " [[-1.72195053]\n",
      " [-1.18713987]\n",
      " [-1.52809548]\n",
      " [-1.95637393]\n",
      " [-1.71122849]\n",
      " [-1.86158133]\n",
      " [-2.02752185]\n",
      " [-2.15916872]]\n",
      "492 Cost:  5.21278 \n",
      "Prediction:\n",
      " [[-1.72183943]\n",
      " [-1.18703127]\n",
      " [-1.52800417]\n",
      " [-1.95630193]\n",
      " [-1.71114433]\n",
      " [-1.86149979]\n",
      " [-2.02746534]\n",
      " [-2.15911293]]\n",
      "493 Cost:  5.21241 \n",
      "Prediction:\n",
      " [[-1.72172821]\n",
      " [-1.18692279]\n",
      " [-1.52791274]\n",
      " [-1.95623016]\n",
      " [-1.71106017]\n",
      " [-1.86141837]\n",
      " [-2.0274086 ]\n",
      " [-2.15905714]]\n",
      "494 Cost:  5.21203 \n",
      "Prediction:\n",
      " [[-1.72161698]\n",
      " [-1.18681431]\n",
      " [-1.52782154]\n",
      " [-1.95615816]\n",
      " [-1.71097612]\n",
      " [-1.86133695]\n",
      " [-2.02735186]\n",
      " [-2.15900135]]\n",
      "495 Cost:  5.21165 \n",
      "Prediction:\n",
      " [[-1.72150588]\n",
      " [-1.18670583]\n",
      " [-1.52773011]\n",
      " [-1.95608628]\n",
      " [-1.71089184]\n",
      " [-1.86125541]\n",
      " [-2.02729535]\n",
      " [-2.15894532]]\n",
      "496 Cost:  5.21127 \n",
      "Prediction:\n",
      " [[-1.72139478]\n",
      " [-1.18659735]\n",
      " [-1.52763891]\n",
      " [-1.95601439]\n",
      " [-1.7108078 ]\n",
      " [-1.86117399]\n",
      " [-2.02723885]\n",
      " [-2.15888953]]\n",
      "497 Cost:  5.2109 \n",
      "Prediction:\n",
      " [[-1.72128367]\n",
      " [-1.18648887]\n",
      " [-1.5275476 ]\n",
      " [-1.95594251]\n",
      " [-1.71072364]\n",
      " [-1.86109257]\n",
      " [-2.0271821 ]\n",
      " [-2.15883374]]\n",
      "498 Cost:  5.21052 \n",
      "Prediction:\n",
      " [[-1.72117245]\n",
      " [-1.18638039]\n",
      " [-1.52745628]\n",
      " [-1.95587051]\n",
      " [-1.71063936]\n",
      " [-1.86101103]\n",
      " [-2.0271256 ]\n",
      " [-2.15877795]]\n",
      "499 Cost:  5.21014 \n",
      "Prediction:\n",
      " [[-1.72106135]\n",
      " [-1.18627203]\n",
      " [-1.52736497]\n",
      " [-1.95579863]\n",
      " [-1.71055532]\n",
      " [-1.86092961]\n",
      " [-2.02706885]\n",
      " [-2.15872216]]\n",
      "500 Cost:  5.20976 \n",
      "Prediction:\n",
      " [[-1.72095013]\n",
      " [-1.18616354]\n",
      " [-1.52727365]\n",
      " [-1.95572674]\n",
      " [-1.71047115]\n",
      " [-1.86084819]\n",
      " [-2.02701235]\n",
      " [-2.15866637]]\n",
      "501 Cost:  5.20938 \n",
      "Prediction:\n",
      " [[-1.72083902]\n",
      " [-1.18605518]\n",
      " [-1.52718234]\n",
      " [-1.95565486]\n",
      " [-1.71038699]\n",
      " [-1.86076665]\n",
      " [-2.0269556 ]\n",
      " [-2.15861058]]\n",
      "502 Cost:  5.20901 \n",
      "Prediction:\n",
      " [[-1.72072792]\n",
      " [-1.1859467 ]\n",
      " [-1.52709115]\n",
      " [-1.95558298]\n",
      " [-1.71030283]\n",
      " [-1.86068535]\n",
      " [-2.0268991 ]\n",
      " [-2.15855479]]\n",
      "503 Cost:  5.20863 \n",
      "Prediction:\n",
      " [[-1.72061682]\n",
      " [-1.18583822]\n",
      " [-1.52699983]\n",
      " [-1.95551109]\n",
      " [-1.71021867]\n",
      " [-1.86060381]\n",
      " [-2.02684259]\n",
      " [-2.158499  ]]\n",
      "504 Cost:  5.20825 \n",
      "Prediction:\n",
      " [[-1.72050571]\n",
      " [-1.18572986]\n",
      " [-1.52690864]\n",
      " [-1.95543909]\n",
      " [-1.71013463]\n",
      " [-1.86052239]\n",
      " [-2.02678585]\n",
      " [-2.15844321]]\n",
      "505 Cost:  5.20787 \n",
      "Prediction:\n",
      " [[-1.72039449]\n",
      " [-1.18562126]\n",
      " [-1.52681732]\n",
      " [-1.95536721]\n",
      " [-1.71005046]\n",
      " [-1.86044097]\n",
      " [-2.02672935]\n",
      " [-2.15838742]]\n",
      "506 Cost:  5.2075 \n",
      "Prediction:\n",
      " [[-1.72028339]\n",
      " [-1.18551302]\n",
      " [-1.52672601]\n",
      " [-1.95529532]\n",
      " [-1.7099663 ]\n",
      " [-1.86035943]\n",
      " [-2.0266726 ]\n",
      " [-2.15833163]]\n",
      "507 Cost:  5.20712 \n",
      "Prediction:\n",
      " [[-1.72017229]\n",
      " [-1.18540454]\n",
      " [-1.52663469]\n",
      " [-1.95522332]\n",
      " [-1.70988226]\n",
      " [-1.86027801]\n",
      " [-2.0266161 ]\n",
      " [-2.15827584]]\n",
      "508 Cost:  5.20674 \n",
      "Prediction:\n",
      " [[-1.72006106]\n",
      " [-1.18529606]\n",
      " [-1.5265435 ]\n",
      " [-1.95515156]\n",
      " [-1.7097981 ]\n",
      " [-1.86019659]\n",
      " [-2.02655935]\n",
      " [-2.15822005]]\n",
      "509 Cost:  5.20636 \n",
      "Prediction:\n",
      " [[-1.71994996]\n",
      " [-1.1851877 ]\n",
      " [-1.52645218]\n",
      " [-1.95507956]\n",
      " [-1.70971394]\n",
      " [-1.86011517]\n",
      " [-2.02650285]\n",
      " [-2.15816426]]\n",
      "510 Cost:  5.20599 \n",
      "Prediction:\n",
      " [[-1.71983886]\n",
      " [-1.1850791 ]\n",
      " [-1.52636087]\n",
      " [-1.95500767]\n",
      " [-1.70962977]\n",
      " [-1.86003375]\n",
      " [-2.02644634]\n",
      " [-2.15810823]]\n",
      "511 Cost:  5.20561 \n",
      "Prediction:\n",
      " [[-1.71972775]\n",
      " [-1.18497086]\n",
      " [-1.52626956]\n",
      " [-1.95493579]\n",
      " [-1.70954561]\n",
      " [-1.85995221]\n",
      " [-2.0263896 ]\n",
      " [-2.15805244]]\n",
      "512 Cost:  5.20523 \n",
      "Prediction:\n",
      " [[-1.71961665]\n",
      " [-1.18486238]\n",
      " [-1.52617836]\n",
      " [-1.95486379]\n",
      " [-1.70946145]\n",
      " [-1.85987079]\n",
      " [-2.02633309]\n",
      " [-2.15799665]]\n",
      "513 Cost:  5.20485 \n",
      "Prediction:\n",
      " [[-1.71950543]\n",
      " [-1.18475378]\n",
      " [-1.52608705]\n",
      " [-1.95479202]\n",
      " [-1.70937729]\n",
      " [-1.85978937]\n",
      " [-2.02627635]\n",
      " [-2.15794086]]\n",
      "514 Cost:  5.20448 \n",
      "Prediction:\n",
      " [[-1.71939433]\n",
      " [-1.18464541]\n",
      " [-1.52599573]\n",
      " [-1.95472002]\n",
      " [-1.70929325]\n",
      " [-1.85970795]\n",
      " [-2.02621984]\n",
      " [-2.15788507]]\n",
      "515 Cost:  5.2041 \n",
      "Prediction:\n",
      " [[-1.71928322]\n",
      " [-1.18453693]\n",
      " [-1.52590442]\n",
      " [-1.95464814]\n",
      " [-1.70920908]\n",
      " [-1.85962653]\n",
      " [-2.0261631 ]\n",
      " [-2.15782928]]\n",
      "516 Cost:  5.20372 \n",
      "Prediction:\n",
      " [[-1.719172  ]\n",
      " [-1.18442845]\n",
      " [-1.52581322]\n",
      " [-1.95457625]\n",
      " [-1.70912492]\n",
      " [-1.85954499]\n",
      " [-2.0261066 ]\n",
      " [-2.15777349]]\n",
      "517 Cost:  5.20334 \n",
      "Prediction:\n",
      " [[-1.7190609 ]\n",
      " [-1.18431997]\n",
      " [-1.52572203]\n",
      " [-1.95450437]\n",
      " [-1.70904088]\n",
      " [-1.85946357]\n",
      " [-2.02605009]\n",
      " [-2.1577177 ]]\n",
      "518 Cost:  5.20297 \n",
      "Prediction:\n",
      " [[-1.71894979]\n",
      " [-1.18421161]\n",
      " [-1.52563071]\n",
      " [-1.95443249]\n",
      " [-1.70895672]\n",
      " [-1.85938215]\n",
      " [-2.02599335]\n",
      " [-2.15766191]]\n",
      "519 Cost:  5.20259 \n",
      "Prediction:\n",
      " [[-1.71883869]\n",
      " [-1.18410325]\n",
      " [-1.5255394 ]\n",
      " [-1.95436049]\n",
      " [-1.70887256]\n",
      " [-1.85930073]\n",
      " [-2.0259366 ]\n",
      " [-2.15760612]]\n",
      "520 Cost:  5.20221 \n",
      "Prediction:\n",
      " [[-1.71872759]\n",
      " [-1.18399477]\n",
      " [-1.52544808]\n",
      " [-1.95428872]\n",
      " [-1.70878851]\n",
      " [-1.85921931]\n",
      " [-2.0258801 ]\n",
      " [-2.15755033]]\n",
      "521 Cost:  5.20183 \n",
      "Prediction:\n",
      " [[-1.7186166 ]\n",
      " [-1.18388653]\n",
      " [-1.52535701]\n",
      " [-1.95421672]\n",
      " [-1.70870435]\n",
      " [-1.85913789]\n",
      " [-2.02582359]\n",
      " [-2.15749454]]\n",
      "522 Cost:  5.20146 \n",
      "Prediction:\n",
      " [[-1.7185055 ]\n",
      " [-1.18377805]\n",
      " [-1.52526569]\n",
      " [-1.95414495]\n",
      " [-1.70862031]\n",
      " [-1.85905647]\n",
      " [-2.02576685]\n",
      " [-2.15743876]]\n",
      "523 Cost:  5.20108 \n",
      "Prediction:\n",
      " [[-1.71839452]\n",
      " [-1.18366981]\n",
      " [-1.5251745 ]\n",
      " [-1.95407319]\n",
      " [-1.70853627]\n",
      " [-1.85897517]\n",
      " [-2.02571034]\n",
      " [-2.15738297]]\n",
      "524 Cost:  5.2007 \n",
      "Prediction:\n",
      " [[-1.71828365]\n",
      " [-1.18356133]\n",
      " [-1.5250833 ]\n",
      " [-1.95400131]\n",
      " [-1.70845222]\n",
      " [-1.85889375]\n",
      " [-2.02565384]\n",
      " [-2.15732718]]\n",
      "525 Cost:  5.20033 \n",
      "Prediction:\n",
      " [[-1.71817279]\n",
      " [-1.18345308]\n",
      " [-1.52499211]\n",
      " [-1.95392942]\n",
      " [-1.70836818]\n",
      " [-1.85881245]\n",
      " [-2.0255971 ]\n",
      " [-2.15727139]]\n",
      "526 Cost:  5.19995 \n",
      "Prediction:\n",
      " [[-1.7180618 ]\n",
      " [-1.18334484]\n",
      " [-1.52490091]\n",
      " [-1.95385766]\n",
      " [-1.70828414]\n",
      " [-1.85873103]\n",
      " [-2.02554059]\n",
      " [-2.1572156 ]]\n",
      "527 Cost:  5.19957 \n",
      "Prediction:\n",
      " [[-1.71795082]\n",
      " [-1.1832366 ]\n",
      " [-1.52480984]\n",
      " [-1.95378578]\n",
      " [-1.70819998]\n",
      " [-1.85864973]\n",
      " [-2.02548409]\n",
      " [-2.15715981]]\n",
      "528 Cost:  5.19919 \n",
      "Prediction:\n",
      " [[-1.71783996]\n",
      " [-1.18312824]\n",
      " [-1.52471852]\n",
      " [-1.95371389]\n",
      " [-1.70811605]\n",
      " [-1.85856843]\n",
      " [-2.02542734]\n",
      " [-2.15710402]]\n",
      "529 Cost:  5.19882 \n",
      "Prediction:\n",
      " [[-1.71772897]\n",
      " [-1.18301988]\n",
      " [-1.52462745]\n",
      " [-1.95364213]\n",
      " [-1.70803213]\n",
      " [-1.85848701]\n",
      " [-2.02537084]\n",
      " [-2.15704823]]\n",
      "530 Cost:  5.19844 \n",
      "Prediction:\n",
      " [[-1.71761799]\n",
      " [-1.18291163]\n",
      " [-1.52453637]\n",
      " [-1.95357037]\n",
      " [-1.70794797]\n",
      " [-1.85840559]\n",
      " [-2.02531433]\n",
      " [-2.15699244]]\n",
      "531 Cost:  5.19806 \n",
      "Prediction:\n",
      " [[-1.71750712]\n",
      " [-1.18280327]\n",
      " [-1.52444518]\n",
      " [-1.95349848]\n",
      " [-1.70786405]\n",
      " [-1.85832429]\n",
      " [-2.02525759]\n",
      " [-2.15693665]]\n",
      "532 Cost:  5.19769 \n",
      "Prediction:\n",
      " [[-1.71739614]\n",
      " [-1.18269503]\n",
      " [-1.52435398]\n",
      " [-1.95342672]\n",
      " [-1.70777988]\n",
      " [-1.85824299]\n",
      " [-2.02520108]\n",
      " [-2.15688086]]\n",
      "533 Cost:  5.19731 \n",
      "Prediction:\n",
      " [[-1.71728539]\n",
      " [-1.18258703]\n",
      " [-1.52426291]\n",
      " [-1.95335507]\n",
      " [-1.70769608]\n",
      " [-1.85816181]\n",
      " [-2.02514482]\n",
      " [-2.1568253 ]]\n",
      "534 Cost:  5.19694 \n",
      "Prediction:\n",
      " [[-1.71717477]\n",
      " [-1.1824789 ]\n",
      " [-1.52417207]\n",
      " [-1.95328355]\n",
      " [-1.7076124 ]\n",
      " [-1.85808063]\n",
      " [-2.02508831]\n",
      " [-2.15676975]]\n",
      "535 Cost:  5.19656 \n",
      "Prediction:\n",
      " [[-1.71706414]\n",
      " [-1.1823709 ]\n",
      " [-1.52408111]\n",
      " [-1.9532119 ]\n",
      " [-1.70752859]\n",
      " [-1.85799956]\n",
      " [-2.02503204]\n",
      " [-2.1567142 ]]\n",
      "536 Cost:  5.19618 \n",
      "Prediction:\n",
      " [[-1.7169534 ]\n",
      " [-1.1822629 ]\n",
      " [-1.52399015]\n",
      " [-1.95314026]\n",
      " [-1.70744479]\n",
      " [-1.8579185 ]\n",
      " [-2.02497578]\n",
      " [-2.15665865]]\n",
      "537 Cost:  5.19581 \n",
      "Prediction:\n",
      " [[-1.71684265]\n",
      " [-1.18215477]\n",
      " [-1.52389932]\n",
      " [-1.95306873]\n",
      " [-1.70736098]\n",
      " [-1.85783744]\n",
      " [-2.02491951]\n",
      " [-2.1566031 ]]\n",
      "538 Cost:  5.19543 \n",
      "Prediction:\n",
      " [[-1.71673203]\n",
      " [-1.18204677]\n",
      " [-1.52380848]\n",
      " [-1.95299721]\n",
      " [-1.7072773 ]\n",
      " [-1.85775626]\n",
      " [-2.024863  ]\n",
      " [-2.15654755]]\n",
      "539 Cost:  5.19506 \n",
      "Prediction:\n",
      " [[-1.7166214 ]\n",
      " [-1.18193865]\n",
      " [-1.52371752]\n",
      " [-1.95292568]\n",
      " [-1.70719337]\n",
      " [-1.85767508]\n",
      " [-2.02480674]\n",
      " [-2.15649176]]\n",
      "540 Cost:  5.19468 \n",
      "Prediction:\n",
      " [[-1.71651065]\n",
      " [-1.18183064]\n",
      " [-1.52362657]\n",
      " [-1.95285404]\n",
      " [-1.70710969]\n",
      " [-1.85759401]\n",
      " [-2.02475023]\n",
      " [-2.15643644]]\n",
      "541 Cost:  5.19431 \n",
      "Prediction:\n",
      " [[-1.71639991]\n",
      " [-1.18172264]\n",
      " [-1.52353561]\n",
      " [-1.95278239]\n",
      " [-1.70702577]\n",
      " [-1.85751295]\n",
      " [-2.02469397]\n",
      " [-2.15638065]]\n",
      "542 Cost:  5.19393 \n",
      "Prediction:\n",
      " [[-1.71628928]\n",
      " [-1.18161464]\n",
      " [-1.52344465]\n",
      " [-1.95271075]\n",
      " [-1.70694208]\n",
      " [-1.85743189]\n",
      " [-2.0246377 ]\n",
      " [-2.1563251 ]]\n",
      "543 Cost:  5.19356 \n",
      "Prediction:\n",
      " [[-1.71617866]\n",
      " [-1.1815064 ]\n",
      " [-1.52335382]\n",
      " [-1.95263922]\n",
      " [-1.7068584 ]\n",
      " [-1.85735071]\n",
      " [-2.02458143]\n",
      " [-2.15626955]]\n",
      "544 Cost:  5.19318 \n",
      "Prediction:\n",
      " [[-1.71606791]\n",
      " [-1.18139839]\n",
      " [-1.52326286]\n",
      " [-1.95256758]\n",
      " [-1.70677447]\n",
      " [-1.85726964]\n",
      " [-2.02452493]\n",
      " [-2.156214  ]]\n",
      "545 Cost:  5.1928 \n",
      "Prediction:\n",
      " [[-1.71595716]\n",
      " [-1.18129039]\n",
      " [-1.5231719 ]\n",
      " [-1.95249605]\n",
      " [-1.70669067]\n",
      " [-1.85718846]\n",
      " [-2.02446866]\n",
      " [-2.15615845]]\n",
      "546 Cost:  5.19243 \n",
      "Prediction:\n",
      " [[-1.71584654]\n",
      " [-1.18118227]\n",
      " [-1.52308106]\n",
      " [-1.95242453]\n",
      " [-1.70660698]\n",
      " [-1.8571074 ]\n",
      " [-2.02441239]\n",
      " [-2.1561029 ]]\n",
      "547 Cost:  5.19205 \n",
      "Prediction:\n",
      " [[-1.71573591]\n",
      " [-1.18107426]\n",
      " [-1.52299011]\n",
      " [-1.95235288]\n",
      " [-1.70652318]\n",
      " [-1.85702634]\n",
      " [-2.02435589]\n",
      " [-2.15604734]]\n",
      "548 Cost:  5.19168 \n",
      "Prediction:\n",
      " [[-1.71562517]\n",
      " [-1.18096614]\n",
      " [-1.52289915]\n",
      " [-1.95228136]\n",
      " [-1.70643926]\n",
      " [-1.85694516]\n",
      " [-2.02429962]\n",
      " [-2.15599179]]\n",
      "549 Cost:  5.1913 \n",
      "Prediction:\n",
      " [[-1.71551442]\n",
      " [-1.18085814]\n",
      " [-1.52280819]\n",
      " [-1.95220971]\n",
      " [-1.70635557]\n",
      " [-1.85686409]\n",
      " [-2.02424335]\n",
      " [-2.15593624]]\n",
      "550 Cost:  5.19093 \n",
      "Prediction:\n",
      " [[-1.7154038 ]\n",
      " [-1.18075013]\n",
      " [-1.52271736]\n",
      " [-1.95213819]\n",
      " [-1.70627177]\n",
      " [-1.85678291]\n",
      " [-2.02418685]\n",
      " [-2.15588069]]\n",
      "551 Cost:  5.19055 \n",
      "Prediction:\n",
      " [[-1.71529317]\n",
      " [-1.18064213]\n",
      " [-1.5226264 ]\n",
      " [-1.95206654]\n",
      " [-1.70618796]\n",
      " [-1.85670185]\n",
      " [-2.02413058]\n",
      " [-2.15582514]]\n",
      "552 Cost:  5.19018 \n",
      "Prediction:\n",
      " [[-1.71518242]\n",
      " [-1.18053389]\n",
      " [-1.52253544]\n",
      " [-1.95199502]\n",
      " [-1.70610416]\n",
      " [-1.85662079]\n",
      " [-2.02407432]\n",
      " [-2.15576959]]\n",
      "553 Cost:  5.1898 \n",
      "Prediction:\n",
      " [[-1.7150718 ]\n",
      " [-1.18042588]\n",
      " [-1.52244449]\n",
      " [-1.95192337]\n",
      " [-1.70602047]\n",
      " [-1.85653973]\n",
      " [-2.02401781]\n",
      " [-2.15571404]]\n",
      "554 Cost:  5.18943 \n",
      "Prediction:\n",
      " [[-1.71496105]\n",
      " [-1.18031788]\n",
      " [-1.52235365]\n",
      " [-1.95185184]\n",
      " [-1.70593667]\n",
      " [-1.85645866]\n",
      " [-2.02396154]\n",
      " [-2.15565848]]\n",
      "555 Cost:  5.18905 \n",
      "Prediction:\n",
      " [[-1.71485043]\n",
      " [-1.18020988]\n",
      " [-1.52226269]\n",
      " [-1.95178032]\n",
      " [-1.70585287]\n",
      " [-1.85637748]\n",
      " [-2.02390528]\n",
      " [-2.15560293]]\n",
      "556 Cost:  5.18867 \n",
      "Prediction:\n",
      " [[-1.7147398 ]\n",
      " [-1.18010187]\n",
      " [-1.52217174]\n",
      " [-1.95170879]\n",
      " [-1.70576906]\n",
      " [-1.8562963 ]\n",
      " [-2.02384901]\n",
      " [-2.15554738]]\n",
      "557 Cost:  5.1883 \n",
      "Prediction:\n",
      " [[-1.71462905]\n",
      " [-1.17999387]\n",
      " [-1.5220809 ]\n",
      " [-1.95163715]\n",
      " [-1.70568538]\n",
      " [-1.85621524]\n",
      " [-2.02379251]\n",
      " [-2.15549183]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "558 Cost:  5.18792 \n",
      "Prediction:\n",
      " [[-1.71451843]\n",
      " [-1.17988563]\n",
      " [-1.52198994]\n",
      " [-1.9515655 ]\n",
      " [-1.70560145]\n",
      " [-1.85613418]\n",
      " [-2.02373624]\n",
      " [-2.15543628]]\n",
      "559 Cost:  5.18755 \n",
      "Prediction:\n",
      " [[-1.71440768]\n",
      " [-1.17977762]\n",
      " [-1.52189898]\n",
      " [-1.95149398]\n",
      " [-1.70551777]\n",
      " [-1.85605311]\n",
      " [-2.02367997]\n",
      " [-2.15538073]]\n",
      "560 Cost:  5.18717 \n",
      "Prediction:\n",
      " [[-1.71429706]\n",
      " [-1.17966962]\n",
      " [-1.52180815]\n",
      " [-1.95142245]\n",
      " [-1.70543396]\n",
      " [-1.85597193]\n",
      " [-2.02362347]\n",
      " [-2.15532517]]\n",
      "561 Cost:  5.1868 \n",
      "Prediction:\n",
      " [[-1.71418643]\n",
      " [-1.17956161]\n",
      " [-1.52171719]\n",
      " [-1.95135081]\n",
      " [-1.70535016]\n",
      " [-1.85589075]\n",
      " [-2.0235672 ]\n",
      " [-2.15526962]]\n",
      "562 Cost:  5.18642 \n",
      "Prediction:\n",
      " [[-1.7140758 ]\n",
      " [-1.17945361]\n",
      " [-1.52162623]\n",
      " [-1.95127916]\n",
      " [-1.70526648]\n",
      " [-1.85580969]\n",
      " [-2.02351093]\n",
      " [-2.15521407]]\n",
      "563 Cost:  5.18605 \n",
      "Prediction:\n",
      " [[-1.71396506]\n",
      " [-1.17934561]\n",
      " [-1.5215354 ]\n",
      " [-1.95120764]\n",
      " [-1.70518267]\n",
      " [-1.85572863]\n",
      " [-2.02345467]\n",
      " [-2.15515852]]\n",
      "564 Cost:  5.18567 \n",
      "Prediction:\n",
      " [[-1.71385431]\n",
      " [-1.17923748]\n",
      " [-1.52144444]\n",
      " [-1.95113611]\n",
      " [-1.70509887]\n",
      " [-1.85564756]\n",
      " [-2.02339816]\n",
      " [-2.15510297]]\n",
      "565 Cost:  5.1853 \n",
      "Prediction:\n",
      " [[-1.71374369]\n",
      " [-1.17912948]\n",
      " [-1.52135348]\n",
      " [-1.95106459]\n",
      " [-1.70501506]\n",
      " [-1.8555665 ]\n",
      " [-2.02334189]\n",
      " [-2.15504742]]\n",
      "566 Cost:  5.18492 \n",
      "Prediction:\n",
      " [[-1.71363306]\n",
      " [-1.17902148]\n",
      " [-1.52126265]\n",
      " [-1.95099306]\n",
      " [-1.70493126]\n",
      " [-1.85548532]\n",
      " [-2.02328539]\n",
      " [-2.15499187]]\n",
      "567 Cost:  5.18455 \n",
      "Prediction:\n",
      " [[-1.71352243]\n",
      " [-1.17891335]\n",
      " [-1.52117169]\n",
      " [-1.95092142]\n",
      " [-1.70484746]\n",
      " [-1.85540426]\n",
      " [-2.02322912]\n",
      " [-2.15493631]]\n",
      "568 Cost:  5.18417 \n",
      "Prediction:\n",
      " [[-1.71341169]\n",
      " [-1.17880535]\n",
      " [-1.52108085]\n",
      " [-1.95084977]\n",
      " [-1.70476377]\n",
      " [-1.85532308]\n",
      " [-2.02317286]\n",
      " [-2.15488076]]\n",
      "569 Cost:  5.1838 \n",
      "Prediction:\n",
      " [[-1.71330106]\n",
      " [-1.17869735]\n",
      " [-1.52098989]\n",
      " [-1.95077825]\n",
      " [-1.70467997]\n",
      " [-1.85524201]\n",
      " [-2.02311659]\n",
      " [-2.15482521]]\n",
      "570 Cost:  5.18342 \n",
      "Prediction:\n",
      " [[-1.71319044]\n",
      " [-1.17858922]\n",
      " [-1.52089906]\n",
      " [-1.95070672]\n",
      " [-1.70459628]\n",
      " [-1.85516095]\n",
      " [-2.02306008]\n",
      " [-2.15476966]]\n",
      "571 Cost:  5.18305 \n",
      "Prediction:\n",
      " [[-1.71307969]\n",
      " [-1.17848122]\n",
      " [-1.52080798]\n",
      " [-1.95063508]\n",
      " [-1.70451248]\n",
      " [-1.85507989]\n",
      " [-2.02300382]\n",
      " [-2.15471411]]\n",
      "572 Cost:  5.18267 \n",
      "Prediction:\n",
      " [[-1.71296906]\n",
      " [-1.17837322]\n",
      " [-1.52071714]\n",
      " [-1.95056355]\n",
      " [-1.70442867]\n",
      " [-1.85499883]\n",
      " [-2.02294755]\n",
      " [-2.15465832]]\n",
      "573 Cost:  5.1823 \n",
      "Prediction:\n",
      " [[-1.71285844]\n",
      " [-1.17826509]\n",
      " [-1.52062631]\n",
      " [-1.95049191]\n",
      " [-1.70434487]\n",
      " [-1.85491765]\n",
      " [-2.02289104]\n",
      " [-2.154603  ]]\n",
      "574 Cost:  5.18192 \n",
      "Prediction:\n",
      " [[-1.71274781]\n",
      " [-1.17815709]\n",
      " [-1.52053547]\n",
      " [-1.95042038]\n",
      " [-1.70426118]\n",
      " [-1.85483658]\n",
      " [-2.02283478]\n",
      " [-2.15454721]]\n",
      "575 Cost:  5.18155 \n",
      "Prediction:\n",
      " [[-1.71263719]\n",
      " [-1.17804909]\n",
      " [-1.52044451]\n",
      " [-1.95034885]\n",
      " [-1.70417738]\n",
      " [-1.85475552]\n",
      " [-2.02277851]\n",
      " [-2.1544919 ]]\n",
      "576 Cost:  5.18117 \n",
      "Prediction:\n",
      " [[-1.71252644]\n",
      " [-1.17794096]\n",
      " [-1.52035356]\n",
      " [-1.95027721]\n",
      " [-1.70409358]\n",
      " [-1.85467434]\n",
      " [-2.02272224]\n",
      " [-2.15443611]]\n",
      "577 Cost:  5.1808 \n",
      "Prediction:\n",
      " [[-1.71241581]\n",
      " [-1.17783296]\n",
      " [-1.5202626 ]\n",
      " [-1.95020568]\n",
      " [-1.70400977]\n",
      " [-1.85459328]\n",
      " [-2.02266574]\n",
      " [-2.15438056]]\n",
      "578 Cost:  5.18042 \n",
      "Prediction:\n",
      " [[-1.71230519]\n",
      " [-1.17772508]\n",
      " [-1.52017164]\n",
      " [-1.95013404]\n",
      " [-1.70392609]\n",
      " [-1.85451221]\n",
      " [-2.02260947]\n",
      " [-2.15432501]]\n",
      "579 Cost:  5.18005 \n",
      "Prediction:\n",
      " [[-1.71219444]\n",
      " [-1.17761707]\n",
      " [-1.5200808 ]\n",
      " [-1.95006251]\n",
      " [-1.70384228]\n",
      " [-1.85443115]\n",
      " [-2.02255321]\n",
      " [-2.15426946]]\n",
      "580 Cost:  5.17967 \n",
      "Prediction:\n",
      " [[-1.71208382]\n",
      " [-1.17750883]\n",
      " [-1.51998997]\n",
      " [-1.94999099]\n",
      " [-1.70375848]\n",
      " [-1.85435009]\n",
      " [-2.0224967 ]\n",
      " [-2.15421391]]\n",
      "581 Cost:  5.1793 \n",
      "Prediction:\n",
      " [[-1.71197319]\n",
      " [-1.17740095]\n",
      " [-1.51989901]\n",
      " [-1.94991946]\n",
      " [-1.70367467]\n",
      " [-1.85426891]\n",
      " [-2.02244043]\n",
      " [-2.15415835]]\n",
      "582 Cost:  5.17892 \n",
      "Prediction:\n",
      " [[-1.71186256]\n",
      " [-1.17729294]\n",
      " [-1.51980805]\n",
      " [-1.94984782]\n",
      " [-1.70359087]\n",
      " [-1.85418785]\n",
      " [-2.02238417]\n",
      " [-2.1541028 ]]\n",
      "583 Cost:  5.17855 \n",
      "Prediction:\n",
      " [[-1.71175194]\n",
      " [-1.17718482]\n",
      " [-1.51971722]\n",
      " [-1.94977629]\n",
      " [-1.70350718]\n",
      " [-1.85410666]\n",
      " [-2.0223279 ]\n",
      " [-2.15404725]]\n",
      "584 Cost:  5.17817 \n",
      "Prediction:\n",
      " [[-1.71164119]\n",
      " [-1.17707682]\n",
      " [-1.51962626]\n",
      " [-1.94970465]\n",
      " [-1.7034235 ]\n",
      " [-1.8540256 ]\n",
      " [-2.02227139]\n",
      " [-2.1539917 ]]\n",
      "585 Cost:  5.1778 \n",
      "Prediction:\n",
      " [[-1.71153057]\n",
      " [-1.17696881]\n",
      " [-1.5195353 ]\n",
      " [-1.949633  ]\n",
      " [-1.70333958]\n",
      " [-1.85394454]\n",
      " [-2.02221513]\n",
      " [-2.15393615]]\n",
      "586 Cost:  5.17742 \n",
      "Prediction:\n",
      " [[-1.71141994]\n",
      " [-1.17686081]\n",
      " [-1.51944447]\n",
      " [-1.94956148]\n",
      " [-1.70325589]\n",
      " [-1.85386348]\n",
      " [-2.02215886]\n",
      " [-2.1538806 ]]\n",
      "587 Cost:  5.17705 \n",
      "Prediction:\n",
      " [[-1.71130931]\n",
      " [-1.17675281]\n",
      " [-1.51935363]\n",
      " [-1.94948983]\n",
      " [-1.70317221]\n",
      " [-1.85378242]\n",
      " [-2.02210236]\n",
      " [-2.15382504]]\n",
      "588 Cost:  5.17667 \n",
      "Prediction:\n",
      " [[-1.71119869]\n",
      " [-1.1766448 ]\n",
      " [-1.51926267]\n",
      " [-1.94941831]\n",
      " [-1.7030884 ]\n",
      " [-1.85370135]\n",
      " [-2.02204609]\n",
      " [-2.15376949]]\n",
      "589 Cost:  5.1763 \n",
      "Prediction:\n",
      " [[-1.71108794]\n",
      " [-1.1765368 ]\n",
      " [-1.51917183]\n",
      " [-1.94934678]\n",
      " [-1.7030046 ]\n",
      " [-1.85362029]\n",
      " [-2.02198982]\n",
      " [-2.15371394]]\n",
      "590 Cost:  5.17592 \n",
      "Prediction:\n",
      " [[-1.71097732]\n",
      " [-1.17642891]\n",
      " [-1.519081  ]\n",
      " [-1.94927526]\n",
      " [-1.70292091]\n",
      " [-1.85353923]\n",
      " [-2.02193356]\n",
      " [-2.15365839]]\n",
      "591 Cost:  5.17555 \n",
      "Prediction:\n",
      " [[-1.71086669]\n",
      " [-1.17632103]\n",
      " [-1.51899016]\n",
      " [-1.94920373]\n",
      " [-1.70283711]\n",
      " [-1.85345817]\n",
      " [-2.02187705]\n",
      " [-2.15360308]]\n",
      "592 Cost:  5.17517 \n",
      "Prediction:\n",
      " [[-1.71075618]\n",
      " [-1.17621303]\n",
      " [-1.5188992 ]\n",
      " [-1.9491322 ]\n",
      " [-1.70275342]\n",
      " [-1.8533771 ]\n",
      " [-2.02182078]\n",
      " [-2.15354753]]\n",
      "593 Cost:  5.1748 \n",
      "Prediction:\n",
      " [[-1.71064556]\n",
      " [-1.17610502]\n",
      " [-1.51880848]\n",
      " [-1.94906068]\n",
      " [-1.70266974]\n",
      " [-1.85329604]\n",
      " [-2.02176452]\n",
      " [-2.15349197]]\n",
      "594 Cost:  5.17443 \n",
      "Prediction:\n",
      " [[-1.71053505]\n",
      " [-1.17599726]\n",
      " [-1.51871765]\n",
      " [-1.94898903]\n",
      " [-1.70258594]\n",
      " [-1.85321498]\n",
      " [-2.02170825]\n",
      " [-2.15343642]]\n",
      "595 Cost:  5.17405 \n",
      "Prediction:\n",
      " [[-1.71042442]\n",
      " [-1.17588925]\n",
      " [-1.51862669]\n",
      " [-1.94891751]\n",
      " [-1.70250225]\n",
      " [-1.85313392]\n",
      " [-2.02165174]\n",
      " [-2.15338087]]\n",
      "596 Cost:  5.17368 \n",
      "Prediction:\n",
      " [[-1.7103138 ]\n",
      " [-1.17578125]\n",
      " [-1.51853597]\n",
      " [-1.94884598]\n",
      " [-1.70241857]\n",
      " [-1.85305285]\n",
      " [-2.02159548]\n",
      " [-2.15332532]]\n",
      "597 Cost:  5.1733 \n",
      "Prediction:\n",
      " [[-1.71020317]\n",
      " [-1.17567348]\n",
      " [-1.51844501]\n",
      " [-1.94877446]\n",
      " [-1.70233488]\n",
      " [-1.85297191]\n",
      " [-2.02153921]\n",
      " [-2.15326977]]\n",
      "598 Cost:  5.17293 \n",
      "Prediction:\n",
      " [[-1.71009266]\n",
      " [-1.17556548]\n",
      " [-1.51835418]\n",
      " [-1.94870293]\n",
      " [-1.70225108]\n",
      " [-1.85289073]\n",
      " [-2.02148294]\n",
      " [-2.15321422]]\n",
      "599 Cost:  5.17255 \n",
      "Prediction:\n",
      " [[-1.70998216]\n",
      " [-1.17545748]\n",
      " [-1.51826346]\n",
      " [-1.94863141]\n",
      " [-1.70216751]\n",
      " [-1.85280979]\n",
      " [-2.02142668]\n",
      " [-2.15315866]]\n",
      "600 Cost:  5.17218 \n",
      "Prediction:\n",
      " [[-1.70987153]\n",
      " [-1.17534971]\n",
      " [-1.51817262]\n",
      " [-1.94855988]\n",
      " [-1.70208371]\n",
      " [-1.85272872]\n",
      " [-2.02137017]\n",
      " [-2.15310335]]\n",
      "601 Cost:  5.1718 \n",
      "Prediction:\n",
      " [[-1.7097609 ]\n",
      " [-1.17524171]\n",
      " [-1.51808178]\n",
      " [-1.94848824]\n",
      " [-1.7019999 ]\n",
      " [-1.85264766]\n",
      " [-2.02131391]\n",
      " [-2.1530478 ]]\n",
      "602 Cost:  5.17143 \n",
      "Prediction:\n",
      " [[-1.70965028]\n",
      " [-1.17513371]\n",
      " [-1.51799095]\n",
      " [-1.94841671]\n",
      " [-1.70191622]\n",
      " [-1.85256672]\n",
      " [-2.02125764]\n",
      " [-2.15299225]]\n",
      "603 Cost:  5.17105 \n",
      "Prediction:\n",
      " [[-1.70953977]\n",
      " [-1.17502594]\n",
      " [-1.51789999]\n",
      " [-1.94834518]\n",
      " [-1.70183253]\n",
      " [-1.85248566]\n",
      " [-2.02120113]\n",
      " [-2.1529367 ]]\n",
      "604 Cost:  5.17068 \n",
      "Prediction:\n",
      " [[-1.70942926]\n",
      " [-1.17491794]\n",
      " [-1.51780927]\n",
      " [-1.94827366]\n",
      " [-1.70174885]\n",
      " [-1.85240459]\n",
      " [-2.02114487]\n",
      " [-2.15288115]]\n",
      "605 Cost:  5.17031 \n",
      "Prediction:\n",
      " [[-1.70931864]\n",
      " [-1.17481005]\n",
      " [-1.51771855]\n",
      " [-1.94820213]\n",
      " [-1.70166516]\n",
      " [-1.85232353]\n",
      " [-2.0210886 ]\n",
      " [-2.15282559]]\n",
      "606 Cost:  5.16993 \n",
      "Prediction:\n",
      " [[-1.70920801]\n",
      " [-1.17470217]\n",
      " [-1.51762772]\n",
      " [-1.94813061]\n",
      " [-1.70158136]\n",
      " [-1.85224247]\n",
      " [-2.02103233]\n",
      " [-2.15277004]]\n",
      "607 Cost:  5.16956 \n",
      "Prediction:\n",
      " [[-1.7090975 ]\n",
      " [-1.17459416]\n",
      " [-1.51753688]\n",
      " [-1.94805908]\n",
      " [-1.70149755]\n",
      " [-1.85216141]\n",
      " [-2.02097607]\n",
      " [-2.15271473]]\n",
      "608 Cost:  5.16918 \n",
      "Prediction:\n",
      " [[-1.708987  ]\n",
      " [-1.1744864 ]\n",
      " [-1.51744592]\n",
      " [-1.94798756]\n",
      " [-1.70141387]\n",
      " [-1.85208035]\n",
      " [-2.02091956]\n",
      " [-2.15265894]]\n",
      "609 Cost:  5.16881 \n",
      "Prediction:\n",
      " [[-1.70887637]\n",
      " [-1.1743784 ]\n",
      " [-1.5173552 ]\n",
      " [-1.94791603]\n",
      " [-1.70133018]\n",
      " [-1.8519994 ]\n",
      " [-2.02086329]\n",
      " [-2.15260363]]\n",
      "610 Cost:  5.16844 \n",
      "Prediction:\n",
      " [[-1.70876575]\n",
      " [-1.17427039]\n",
      " [-1.51726437]\n",
      " [-1.94784451]\n",
      " [-1.7012465 ]\n",
      " [-1.85191834]\n",
      " [-2.02080703]\n",
      " [-2.15254807]]\n",
      "611 Cost:  5.16806 \n",
      "Prediction:\n",
      " [[-1.70865524]\n",
      " [-1.17416263]\n",
      " [-1.51717353]\n",
      " [-1.94777298]\n",
      " [-1.70116282]\n",
      " [-1.85183728]\n",
      " [-2.02075076]\n",
      " [-2.15249252]]\n",
      "612 Cost:  5.16769 \n",
      "Prediction:\n",
      " [[-1.70854473]\n",
      " [-1.17405474]\n",
      " [-1.51708269]\n",
      " [-1.94770133]\n",
      " [-1.70107913]\n",
      " [-1.85175633]\n",
      " [-2.02069426]\n",
      " [-2.15243697]]\n",
      "613 Cost:  5.16731 \n",
      "Prediction:\n",
      " [[-1.7084341 ]\n",
      " [-1.17394674]\n",
      " [-1.51699185]\n",
      " [-1.94762993]\n",
      " [-1.70099533]\n",
      " [-1.85167527]\n",
      " [-2.02063799]\n",
      " [-2.15238142]]\n",
      "614 Cost:  5.16694 \n",
      "Prediction:\n",
      " [[-1.70832348]\n",
      " [-1.17383885]\n",
      " [-1.51690102]\n",
      " [-1.9475584 ]\n",
      " [-1.70091164]\n",
      " [-1.85159421]\n",
      " [-2.02058172]\n",
      " [-2.15232587]]\n",
      "615 Cost:  5.16656 \n",
      "Prediction:\n",
      " [[-1.70821297]\n",
      " [-1.17373097]\n",
      " [-1.51681018]\n",
      " [-1.94748676]\n",
      " [-1.70082796]\n",
      " [-1.85151315]\n",
      " [-2.02052546]\n",
      " [-2.15227032]]\n",
      "616 Cost:  5.16619 \n",
      "Prediction:\n",
      " [[-1.70810246]\n",
      " [-1.17362309]\n",
      " [-1.51671934]\n",
      " [-1.94741523]\n",
      " [-1.70074415]\n",
      " [-1.85143209]\n",
      " [-2.02046919]\n",
      " [-2.152215  ]]\n",
      "617 Cost:  5.16582 \n",
      "Prediction:\n",
      " [[-1.70799184]\n",
      " [-1.1735152 ]\n",
      " [-1.5166285 ]\n",
      " [-1.94734371]\n",
      " [-1.70066047]\n",
      " [-1.85135114]\n",
      " [-2.02041268]\n",
      " [-2.15215945]]\n",
      "618 Cost:  5.16544 \n",
      "Prediction:\n",
      " [[-1.70788121]\n",
      " [-1.17340732]\n",
      " [-1.51653767]\n",
      " [-1.94727218]\n",
      " [-1.70057678]\n",
      " [-1.85127008]\n",
      " [-2.02035642]\n",
      " [-2.1521039 ]]\n",
      "619 Cost:  5.16507 \n",
      "Prediction:\n",
      " [[-1.70777071]\n",
      " [-1.17329931]\n",
      " [-1.51644683]\n",
      " [-1.94720054]\n",
      " [-1.7004931 ]\n",
      " [-1.85118902]\n",
      " [-2.02030015]\n",
      " [-2.15204835]]\n",
      "620 Cost:  5.16469 \n",
      "Prediction:\n",
      " [[-1.7076602 ]\n",
      " [-1.17319155]\n",
      " [-1.51635611]\n",
      " [-1.94712913]\n",
      " [-1.70040941]\n",
      " [-1.85110807]\n",
      " [-2.02024364]\n",
      " [-2.1519928 ]]\n",
      "621 Cost:  5.16432 \n",
      "Prediction:\n",
      " [[-1.70754957]\n",
      " [-1.17308354]\n",
      " [-1.51626515]\n",
      " [-1.94705749]\n",
      " [-1.70032573]\n",
      " [-1.85102701]\n",
      " [-2.02018738]\n",
      " [-2.15193725]]\n",
      "622 Cost:  5.16395 \n",
      "Prediction:\n",
      " [[-1.70743906]\n",
      " [-1.17297566]\n",
      " [-1.51617432]\n",
      " [-1.94698596]\n",
      " [-1.70024204]\n",
      " [-1.85094595]\n",
      " [-2.02013111]\n",
      " [-2.15188169]]\n",
      "623 Cost:  5.16357 \n",
      "Prediction:\n",
      " [[-1.70732856]\n",
      " [-1.17286777]\n",
      " [-1.5160836 ]\n",
      " [-1.94691455]\n",
      " [-1.70015824]\n",
      " [-1.85086489]\n",
      " [-2.02007484]\n",
      " [-2.15182614]]\n",
      "624 Cost:  5.1632 \n",
      "Prediction:\n",
      " [[-1.70721793]\n",
      " [-1.17275989]\n",
      " [-1.51599288]\n",
      " [-1.94684303]\n",
      " [-1.70007467]\n",
      " [-1.85078394]\n",
      " [-2.02001858]\n",
      " [-2.15177059]]\n",
      "625 Cost:  5.16282 \n",
      "Prediction:\n",
      " [[-1.70710742]\n",
      " [-1.17265201]\n",
      " [-1.51590204]\n",
      " [-1.94677138]\n",
      " [-1.69999087]\n",
      " [-1.85070288]\n",
      " [-2.01996207]\n",
      " [-2.15171528]]\n",
      "626 Cost:  5.16245 \n",
      "Prediction:\n",
      " [[-1.70699692]\n",
      " [-1.172544  ]\n",
      " [-1.5158112 ]\n",
      " [-1.94669986]\n",
      " [-1.69990706]\n",
      " [-1.85062182]\n",
      " [-2.01990581]\n",
      " [-2.15165973]]\n",
      "627 Cost:  5.16208 \n",
      "Prediction:\n",
      " [[-1.70688629]\n",
      " [-1.17243624]\n",
      " [-1.51572025]\n",
      " [-1.94662845]\n",
      " [-1.6998235 ]\n",
      " [-1.85054088]\n",
      " [-2.01984954]\n",
      " [-2.15160418]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "628 Cost:  5.1617 \n",
      "Prediction:\n",
      " [[-1.70677578]\n",
      " [-1.17232823]\n",
      " [-1.51562953]\n",
      " [-1.94655681]\n",
      " [-1.69973969]\n",
      " [-1.85045981]\n",
      " [-2.01979327]\n",
      " [-2.15154862]]\n",
      "629 Cost:  5.16133 \n",
      "Prediction:\n",
      " [[-1.70666528]\n",
      " [-1.17222035]\n",
      " [-1.51553869]\n",
      " [-1.94648528]\n",
      " [-1.69965601]\n",
      " [-1.85037875]\n",
      " [-2.01973677]\n",
      " [-2.15149307]]\n",
      "630 Cost:  5.16095 \n",
      "Prediction:\n",
      " [[-1.70655465]\n",
      " [-1.17211246]\n",
      " [-1.51544785]\n",
      " [-1.94641376]\n",
      " [-1.69957232]\n",
      " [-1.85029769]\n",
      " [-2.0196805 ]\n",
      " [-2.15143752]]\n",
      "631 Cost:  5.16058 \n",
      "Prediction:\n",
      " [[-1.70644414]\n",
      " [-1.17200458]\n",
      " [-1.51535702]\n",
      " [-1.94634223]\n",
      " [-1.69948864]\n",
      " [-1.85021663]\n",
      " [-2.01962423]\n",
      " [-2.15138197]]\n",
      "632 Cost:  5.1602 \n",
      "Prediction:\n",
      " [[-1.70633364]\n",
      " [-1.17189658]\n",
      " [-1.51526618]\n",
      " [-1.9462707 ]\n",
      " [-1.69940495]\n",
      " [-1.85013568]\n",
      " [-2.01956797]\n",
      " [-2.15132666]]\n",
      "633 Cost:  5.15983 \n",
      "Prediction:\n",
      " [[-1.70622301]\n",
      " [-1.17178881]\n",
      " [-1.51517534]\n",
      " [-1.94619918]\n",
      " [-1.69932127]\n",
      " [-1.85005462]\n",
      " [-2.0195117 ]\n",
      " [-2.1512711 ]]\n",
      "634 Cost:  5.15946 \n",
      "Prediction:\n",
      " [[-1.70611238]\n",
      " [-1.17168093]\n",
      " [-1.51508462]\n",
      " [-1.94612765]\n",
      " [-1.69923759]\n",
      " [-1.84997368]\n",
      " [-2.01945519]\n",
      " [-2.15121555]]\n",
      "635 Cost:  5.15908 \n",
      "Prediction:\n",
      " [[-1.70600188]\n",
      " [-1.17157292]\n",
      " [-1.51499379]\n",
      " [-1.94605613]\n",
      " [-1.69915378]\n",
      " [-1.84989262]\n",
      " [-2.01939893]\n",
      " [-2.15116   ]]\n",
      "636 Cost:  5.15871 \n",
      "Prediction:\n",
      " [[-1.70589137]\n",
      " [-1.17146516]\n",
      " [-1.51490295]\n",
      " [-1.9459846 ]\n",
      " [-1.6990701 ]\n",
      " [-1.84981155]\n",
      " [-2.01934266]\n",
      " [-2.15110445]]\n",
      "637 Cost:  5.15834 \n",
      "Prediction:\n",
      " [[-1.70578086]\n",
      " [-1.17135727]\n",
      " [-1.51481223]\n",
      " [-1.94591308]\n",
      " [-1.69898641]\n",
      " [-1.84973049]\n",
      " [-2.01928639]\n",
      " [-2.1510489 ]]\n",
      "638 Cost:  5.15796 \n",
      "Prediction:\n",
      " [[-1.70567036]\n",
      " [-1.17124927]\n",
      " [-1.51472139]\n",
      " [-1.94584155]\n",
      " [-1.69890273]\n",
      " [-1.84964955]\n",
      " [-2.01922989]\n",
      " [-2.15099335]]\n",
      "639 Cost:  5.15759 \n",
      "Prediction:\n",
      " [[-1.70555973]\n",
      " [-1.17114139]\n",
      " [-1.51463056]\n",
      " [-1.94577003]\n",
      " [-1.69881904]\n",
      " [-1.84956861]\n",
      " [-2.01917362]\n",
      " [-2.1509378 ]]\n",
      "640 Cost:  5.15722 \n",
      "Prediction:\n",
      " [[-1.70544922]\n",
      " [-1.17103362]\n",
      " [-1.51453972]\n",
      " [-1.9456985 ]\n",
      " [-1.69873536]\n",
      " [-1.84948754]\n",
      " [-2.01911736]\n",
      " [-2.15088224]]\n",
      "641 Cost:  5.15684 \n",
      "Prediction:\n",
      " [[-1.70533872]\n",
      " [-1.17092562]\n",
      " [-1.51444888]\n",
      " [-1.94562697]\n",
      " [-1.69865155]\n",
      " [-1.84940648]\n",
      " [-2.01906109]\n",
      " [-2.15082693]]\n",
      "642 Cost:  5.15647 \n",
      "Prediction:\n",
      " [[-1.70522809]\n",
      " [-1.17081773]\n",
      " [-1.51435804]\n",
      " [-1.94555545]\n",
      " [-1.69856799]\n",
      " [-1.84932542]\n",
      " [-2.01900482]\n",
      " [-2.15077138]]\n",
      "643 Cost:  5.15609 \n",
      "Prediction:\n",
      " [[-1.70511758]\n",
      " [-1.17070985]\n",
      " [-1.51426733]\n",
      " [-1.94548392]\n",
      " [-1.69848418]\n",
      " [-1.84924436]\n",
      " [-2.01894832]\n",
      " [-2.15071583]]\n",
      "644 Cost:  5.15572 \n",
      "Prediction:\n",
      " [[-1.70500708]\n",
      " [-1.17060184]\n",
      " [-1.51417649]\n",
      " [-1.9454124 ]\n",
      " [-1.6984005 ]\n",
      " [-1.84916341]\n",
      " [-2.01889205]\n",
      " [-2.15066028]]\n",
      "645 Cost:  5.15535 \n",
      "Prediction:\n",
      " [[-1.70489657]\n",
      " [-1.17049408]\n",
      " [-1.51408565]\n",
      " [-1.94534087]\n",
      " [-1.69831681]\n",
      " [-1.84908235]\n",
      " [-2.01883578]\n",
      " [-2.15060472]]\n",
      "646 Cost:  5.15497 \n",
      "Prediction:\n",
      " [[-1.70478606]\n",
      " [-1.17038631]\n",
      " [-1.51399481]\n",
      " [-1.94526935]\n",
      " [-1.69823313]\n",
      " [-1.84900141]\n",
      " [-2.01877952]\n",
      " [-2.15054917]]\n",
      "647 Cost:  5.1546 \n",
      "Prediction:\n",
      " [[-1.70467544]\n",
      " [-1.17027831]\n",
      " [-1.51390409]\n",
      " [-1.94519782]\n",
      " [-1.69814944]\n",
      " [-1.84892035]\n",
      " [-2.01872301]\n",
      " [-2.15049362]]\n",
      "648 Cost:  5.15423 \n",
      "Prediction:\n",
      " [[-1.70456493]\n",
      " [-1.17017031]\n",
      " [-1.51381326]\n",
      " [-1.9451263 ]\n",
      " [-1.69806576]\n",
      " [-1.84883928]\n",
      " [-2.01866674]\n",
      " [-2.15043831]]\n",
      "649 Cost:  5.15385 \n",
      "Prediction:\n",
      " [[-1.70445454]\n",
      " [-1.17006254]\n",
      " [-1.51372242]\n",
      " [-1.94505477]\n",
      " [-1.69798207]\n",
      " [-1.84875834]\n",
      " [-2.01861048]\n",
      " [-2.15038252]]\n",
      "650 Cost:  5.15348 \n",
      "Prediction:\n",
      " [[-1.70434403]\n",
      " [-1.16995478]\n",
      " [-1.5136317 ]\n",
      " [-1.94498336]\n",
      " [-1.69789839]\n",
      " [-1.8486774 ]\n",
      " [-2.01855421]\n",
      " [-2.15032721]]\n",
      "651 Cost:  5.1531 \n",
      "Prediction:\n",
      " [[-1.70423365]\n",
      " [-1.16984701]\n",
      " [-1.51354098]\n",
      " [-1.94491196]\n",
      " [-1.69781494]\n",
      " [-1.84859633]\n",
      " [-2.01849794]\n",
      " [-2.15027165]]\n",
      "652 Cost:  5.15273 \n",
      "Prediction:\n",
      " [[-1.70412326]\n",
      " [-1.16973925]\n",
      " [-1.51345026]\n",
      " [-1.94484043]\n",
      " [-1.69773126]\n",
      " [-1.84851551]\n",
      " [-2.01844168]\n",
      " [-2.1502161 ]]\n",
      "653 Cost:  5.15236 \n",
      "Prediction:\n",
      " [[-1.70401287]\n",
      " [-1.16963148]\n",
      " [-1.51335955]\n",
      " [-1.94476891]\n",
      " [-1.69764757]\n",
      " [-1.84843445]\n",
      " [-2.01838541]\n",
      " [-2.15016055]]\n",
      "654 Cost:  5.15199 \n",
      "Prediction:\n",
      " [[-1.70390248]\n",
      " [-1.16952348]\n",
      " [-1.51326871]\n",
      " [-1.94469738]\n",
      " [-1.69756401]\n",
      " [-1.84835351]\n",
      " [-2.01832914]\n",
      " [-2.150105  ]]\n",
      "655 Cost:  5.15161 \n",
      "Prediction:\n",
      " [[-1.7037921 ]\n",
      " [-1.16941595]\n",
      " [-1.51317811]\n",
      " [-1.94462609]\n",
      " [-1.69748044]\n",
      " [-1.84827256]\n",
      " [-2.01827288]\n",
      " [-2.15004945]]\n",
      "656 Cost:  5.15124 \n",
      "Prediction:\n",
      " [[-1.70368171]\n",
      " [-1.16930807]\n",
      " [-1.51308727]\n",
      " [-1.94455457]\n",
      " [-1.69739676]\n",
      " [-1.84819162]\n",
      " [-2.01821661]\n",
      " [-2.1499939 ]]\n",
      "657 Cost:  5.15087 \n",
      "Prediction:\n",
      " [[-1.70357132]\n",
      " [-1.1692003 ]\n",
      " [-1.51299667]\n",
      " [-1.94448304]\n",
      " [-1.69731319]\n",
      " [-1.84811068]\n",
      " [-2.0181601 ]\n",
      " [-2.14993858]]\n",
      "658 Cost:  5.15049 \n",
      "Prediction:\n",
      " [[-1.70346081]\n",
      " [-1.16909242]\n",
      " [-1.51290584]\n",
      " [-1.94441164]\n",
      " [-1.6972295 ]\n",
      " [-1.84802973]\n",
      " [-2.01810384]\n",
      " [-2.14988303]]\n",
      "659 Cost:  5.15012 \n",
      "Prediction:\n",
      " [[-1.70335042]\n",
      " [-1.16898465]\n",
      " [-1.51281524]\n",
      " [-1.94434023]\n",
      " [-1.69714594]\n",
      " [-1.84794879]\n",
      " [-2.01804757]\n",
      " [-2.14982748]]\n",
      "660 Cost:  5.14975 \n",
      "Prediction:\n",
      " [[-1.70324004]\n",
      " [-1.16887689]\n",
      " [-1.5127244 ]\n",
      " [-1.9442687 ]\n",
      " [-1.69706225]\n",
      " [-1.84786785]\n",
      " [-2.0179913 ]\n",
      " [-2.14977193]]\n",
      "661 Cost:  5.14937 \n",
      "Prediction:\n",
      " [[-1.70312965]\n",
      " [-1.168769  ]\n",
      " [-1.5126338 ]\n",
      " [-1.94419718]\n",
      " [-1.69697869]\n",
      " [-1.8477869 ]\n",
      " [-2.01793504]\n",
      " [-2.14971638]]\n",
      "662 Cost:  5.149 \n",
      "Prediction:\n",
      " [[-1.70301926]\n",
      " [-1.16866136]\n",
      " [-1.51254296]\n",
      " [-1.94412565]\n",
      " [-1.696895  ]\n",
      " [-1.84770584]\n",
      " [-2.01787877]\n",
      " [-2.14966083]]\n",
      "663 Cost:  5.14863 \n",
      "Prediction:\n",
      " [[-1.70290875]\n",
      " [-1.16855359]\n",
      " [-1.51245224]\n",
      " [-1.94405425]\n",
      " [-1.69681144]\n",
      " [-1.84762502]\n",
      " [-2.0178225 ]\n",
      " [-2.14960527]]\n",
      "664 Cost:  5.14825 \n",
      "Prediction:\n",
      " [[-1.70279837]\n",
      " [-1.16844559]\n",
      " [-1.51236153]\n",
      " [-1.94398284]\n",
      " [-1.69672775]\n",
      " [-1.84754395]\n",
      " [-2.01776624]\n",
      " [-2.14954972]]\n",
      "665 Cost:  5.14788 \n",
      "Prediction:\n",
      " [[-1.7026881 ]\n",
      " [-1.16833806]\n",
      " [-1.51227081]\n",
      " [-1.94391131]\n",
      " [-1.69664431]\n",
      " [-1.84746301]\n",
      " [-2.01770973]\n",
      " [-2.14949417]]\n",
      "666 Cost:  5.14751 \n",
      "Prediction:\n",
      " [[-1.70257771]\n",
      " [-1.16823018]\n",
      " [-1.51218009]\n",
      " [-1.94383991]\n",
      " [-1.69656062]\n",
      " [-1.84738219]\n",
      " [-2.01765347]\n",
      " [-2.14943886]]\n",
      "667 Cost:  5.14713 \n",
      "Prediction:\n",
      " [[-1.70246744]\n",
      " [-1.16812229]\n",
      " [-1.51208937]\n",
      " [-1.9437685 ]\n",
      " [-1.69647706]\n",
      " [-1.84730124]\n",
      " [-2.0175972 ]\n",
      " [-2.14938331]]\n",
      "668 Cost:  5.14676 \n",
      "Prediction:\n",
      " [[-1.70235705]\n",
      " [-1.16801476]\n",
      " [-1.51199865]\n",
      " [-1.94369698]\n",
      " [-1.69639349]\n",
      " [-1.84722018]\n",
      " [-2.01754093]\n",
      " [-2.14932775]]\n",
      "669 Cost:  5.14639 \n",
      "Prediction:\n",
      " [[-1.70224667]\n",
      " [-1.167907  ]\n",
      " [-1.51190805]\n",
      " [-1.94362557]\n",
      " [-1.6963098 ]\n",
      " [-1.84713936]\n",
      " [-2.01748466]\n",
      " [-2.1492722 ]]\n",
      "670 Cost:  5.14602 \n",
      "Prediction:\n",
      " [[-1.7021364 ]\n",
      " [-1.16779923]\n",
      " [-1.51181734]\n",
      " [-1.94355416]\n",
      " [-1.69622624]\n",
      " [-1.84705842]\n",
      " [-2.0174284 ]\n",
      " [-2.14921665]]\n",
      "671 Cost:  5.14564 \n",
      "Prediction:\n",
      " [[-1.70202613]\n",
      " [-1.16769147]\n",
      " [-1.51172662]\n",
      " [-1.94348276]\n",
      " [-1.69614267]\n",
      " [-1.84697747]\n",
      " [-2.01737213]\n",
      " [-2.14916134]]\n",
      "672 Cost:  5.14527 \n",
      "Prediction:\n",
      " [[-1.70191574]\n",
      " [-1.1675837 ]\n",
      " [-1.5116359 ]\n",
      " [-1.94341123]\n",
      " [-1.69605911]\n",
      " [-1.84689665]\n",
      " [-2.01731586]\n",
      " [-2.14910579]]\n",
      "673 Cost:  5.1449 \n",
      "Prediction:\n",
      " [[-1.70180535]\n",
      " [-1.16747594]\n",
      " [-1.51154518]\n",
      " [-1.94333982]\n",
      " [-1.69597554]\n",
      " [-1.84681559]\n",
      " [-2.0172596 ]\n",
      " [-2.14905024]]\n",
      "674 Cost:  5.14452 \n",
      "Prediction:\n",
      " [[-1.70169508]\n",
      " [-1.16736817]\n",
      " [-1.51145446]\n",
      " [-1.94326842]\n",
      " [-1.69589186]\n",
      " [-1.84673476]\n",
      " [-2.01720333]\n",
      " [-2.14899468]]\n",
      "675 Cost:  5.14415 \n",
      "Prediction:\n",
      " [[-1.70158482]\n",
      " [-1.16726053]\n",
      " [-1.51136374]\n",
      " [-1.94319689]\n",
      " [-1.69580841]\n",
      " [-1.84665382]\n",
      " [-2.01714706]\n",
      " [-2.14893913]]\n",
      "676 Cost:  5.14378 \n",
      "Prediction:\n",
      " [[-1.70147443]\n",
      " [-1.16715276]\n",
      " [-1.51127315]\n",
      " [-1.94312549]\n",
      " [-1.69572473]\n",
      " [-1.84657288]\n",
      " [-2.0170908 ]\n",
      " [-2.14888358]]\n",
      "677 Cost:  5.14341 \n",
      "Prediction:\n",
      " [[-1.70136404]\n",
      " [-1.167045  ]\n",
      " [-1.51118243]\n",
      " [-1.94305396]\n",
      " [-1.69564116]\n",
      " [-1.84649193]\n",
      " [-2.01703453]\n",
      " [-2.14882803]]\n",
      "678 Cost:  5.14303 \n",
      "Prediction:\n",
      " [[-1.70125401]\n",
      " [-1.16693759]\n",
      " [-1.51109195]\n",
      " [-1.94298279]\n",
      " [-1.69555783]\n",
      " [-1.84641123]\n",
      " [-2.01697826]\n",
      " [-2.14877272]]\n",
      "679 Cost:  5.14266 \n",
      "Prediction:\n",
      " [[-1.70114398]\n",
      " [-1.16683006]\n",
      " [-1.51100159]\n",
      " [-1.94291162]\n",
      " [-1.69547451]\n",
      " [-1.84633064]\n",
      " [-2.01692224]\n",
      " [-2.1487174 ]]\n",
      "680 Cost:  5.14229 \n",
      "Prediction:\n",
      " [[-1.70103383]\n",
      " [-1.16672266]\n",
      " [-1.51091111]\n",
      " [-1.94284046]\n",
      " [-1.69539118]\n",
      " [-1.84624994]\n",
      " [-2.01686621]\n",
      " [-2.14866233]]\n",
      "681 Cost:  5.14192 \n",
      "Prediction:\n",
      " [[-1.70092368]\n",
      " [-1.16661513]\n",
      " [-1.51082075]\n",
      " [-1.94276929]\n",
      " [-1.69530773]\n",
      " [-1.84616923]\n",
      " [-2.01681018]\n",
      " [-2.14860702]]\n",
      "682 Cost:  5.14155 \n",
      "Prediction:\n",
      " [[-1.70081365]\n",
      " [-1.16650772]\n",
      " [-1.51073027]\n",
      " [-1.942698  ]\n",
      " [-1.69522452]\n",
      " [-1.84608865]\n",
      " [-2.01675415]\n",
      " [-2.1485517 ]]\n",
      "683 Cost:  5.14118 \n",
      "Prediction:\n",
      " [[-1.70070362]\n",
      " [-1.16640031]\n",
      " [-1.51063991]\n",
      " [-1.94262683]\n",
      " [-1.69514108]\n",
      " [-1.84600794]\n",
      " [-2.01669812]\n",
      " [-2.14849663]]\n",
      "684 Cost:  5.14081 \n",
      "Prediction:\n",
      " [[-1.70059347]\n",
      " [-1.16629279]\n",
      " [-1.51054943]\n",
      " [-1.94255567]\n",
      " [-1.69505775]\n",
      " [-1.84592724]\n",
      " [-2.01664209]\n",
      " [-2.14844131]]\n",
      "685 Cost:  5.14043 \n",
      "Prediction:\n",
      " [[-1.70048332]\n",
      " [-1.16618538]\n",
      " [-1.51045907]\n",
      " [-1.94248438]\n",
      " [-1.69497442]\n",
      " [-1.84584665]\n",
      " [-2.01658607]\n",
      " [-2.148386  ]]\n",
      "686 Cost:  5.14006 \n",
      "Prediction:\n",
      " [[-1.70037329]\n",
      " [-1.16607797]\n",
      " [-1.51036859]\n",
      " [-1.94241333]\n",
      " [-1.69489121]\n",
      " [-1.84576595]\n",
      " [-2.01653004]\n",
      " [-2.14833069]]\n",
      "687 Cost:  5.13969 \n",
      "Prediction:\n",
      " [[-1.70026326]\n",
      " [-1.16597044]\n",
      " [-1.51027822]\n",
      " [-1.94234204]\n",
      " [-1.69480777]\n",
      " [-1.84568524]\n",
      " [-2.01647401]\n",
      " [-2.14827561]]\n",
      "688 Cost:  5.13932 \n",
      "Prediction:\n",
      " [[-1.70015311]\n",
      " [-1.16586304]\n",
      " [-1.51018775]\n",
      " [-1.94227076]\n",
      " [-1.69472456]\n",
      " [-1.84560466]\n",
      " [-2.01641798]\n",
      " [-2.1482203 ]]\n",
      "689 Cost:  5.13895 \n",
      "Prediction:\n",
      " [[-1.70004308]\n",
      " [-1.16575563]\n",
      " [-1.51009727]\n",
      " [-1.94219959]\n",
      " [-1.69464111]\n",
      " [-1.84552395]\n",
      " [-2.01636195]\n",
      " [-2.14816499]]\n",
      "690 Cost:  5.13858 \n",
      "Prediction:\n",
      " [[-1.69993305]\n",
      " [-1.16564822]\n",
      " [-1.5100069 ]\n",
      " [-1.94212842]\n",
      " [-1.69455791]\n",
      " [-1.84544325]\n",
      " [-2.01630592]\n",
      " [-2.14810991]]\n",
      "691 Cost:  5.13821 \n",
      "Prediction:\n",
      " [[-1.6998229 ]\n",
      " [-1.1655407 ]\n",
      " [-1.50991654]\n",
      " [-1.94205737]\n",
      " [-1.69447446]\n",
      " [-1.84536266]\n",
      " [-2.0162499 ]\n",
      " [-2.1480546 ]]\n",
      "692 Cost:  5.13783 \n",
      "Prediction:\n",
      " [[-1.69971275]\n",
      " [-1.16543341]\n",
      " [-1.50982606]\n",
      " [-1.94198608]\n",
      " [-1.69439113]\n",
      " [-1.84528196]\n",
      " [-2.01619387]\n",
      " [-2.14799929]]\n",
      "693 Cost:  5.13746 \n",
      "Prediction:\n",
      " [[-1.69960272]\n",
      " [-1.16532588]\n",
      " [-1.50973558]\n",
      " [-1.9419148 ]\n",
      " [-1.6943078 ]\n",
      " [-1.84520137]\n",
      " [-2.01613784]\n",
      " [-2.14794397]]\n",
      "694 Cost:  5.13709 \n",
      "Prediction:\n",
      " [[-1.69949269]\n",
      " [-1.16521847]\n",
      " [-1.50964522]\n",
      " [-1.94184375]\n",
      " [-1.6942246 ]\n",
      " [-1.84512067]\n",
      " [-2.01608181]\n",
      " [-2.1478889 ]]\n",
      "695 Cost:  5.13672 \n",
      "Prediction:\n",
      " [[-1.69938254]\n",
      " [-1.16511106]\n",
      " [-1.50955486]\n",
      " [-1.94177246]\n",
      " [-1.69414115]\n",
      " [-1.84503996]\n",
      " [-2.01602578]\n",
      " [-2.14783359]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "696 Cost:  5.13635 \n",
      "Prediction:\n",
      " [[-1.69927251]\n",
      " [-1.16500366]\n",
      " [-1.5094645 ]\n",
      " [-1.94170141]\n",
      " [-1.69405794]\n",
      " [-1.84495938]\n",
      " [-2.01596975]\n",
      " [-2.14777827]]\n",
      "697 Cost:  5.13598 \n",
      "Prediction:\n",
      " [[-1.69916248]\n",
      " [-1.16489613]\n",
      " [-1.50937402]\n",
      " [-1.94163013]\n",
      " [-1.69397449]\n",
      " [-1.84487867]\n",
      " [-2.01591349]\n",
      " [-2.1477232 ]]\n",
      "698 Cost:  5.13561 \n",
      "Prediction:\n",
      " [[-1.69905233]\n",
      " [-1.16478884]\n",
      " [-1.50928366]\n",
      " [-1.94155884]\n",
      " [-1.69389129]\n",
      " [-1.84479809]\n",
      " [-2.0158577 ]\n",
      " [-2.14766788]]\n",
      "699 Cost:  5.13523 \n",
      "Prediction:\n",
      " [[-1.6989423 ]\n",
      " [-1.16468132]\n",
      " [-1.50919318]\n",
      " [-1.94148767]\n",
      " [-1.69380784]\n",
      " [-1.84471738]\n",
      " [-2.01580143]\n",
      " [-2.14761257]]\n",
      "700 Cost:  5.13486 \n",
      "Prediction:\n",
      " [[-1.69883227]\n",
      " [-1.16457391]\n",
      " [-1.50910282]\n",
      " [-1.9414165 ]\n",
      " [-1.69372463]\n",
      " [-1.84463668]\n",
      " [-2.01574564]\n",
      " [-2.14755726]]\n",
      "701 Cost:  5.13449 \n",
      "Prediction:\n",
      " [[-1.69872212]\n",
      " [-1.1644665 ]\n",
      " [-1.50901246]\n",
      " [-1.94134545]\n",
      " [-1.6936413 ]\n",
      " [-1.84455609]\n",
      " [-2.01568937]\n",
      " [-2.14750218]]\n",
      "702 Cost:  5.13412 \n",
      "Prediction:\n",
      " [[-1.69861209]\n",
      " [-1.16435909]\n",
      " [-1.50892198]\n",
      " [-1.94127417]\n",
      " [-1.69355798]\n",
      " [-1.84447539]\n",
      " [-2.01563334]\n",
      " [-2.14744687]]\n",
      "703 Cost:  5.13375 \n",
      "Prediction:\n",
      " [[-1.69850206]\n",
      " [-1.16425157]\n",
      " [-1.5088315 ]\n",
      " [-1.94120288]\n",
      " [-1.69347453]\n",
      " [-1.84439468]\n",
      " [-2.01557732]\n",
      " [-2.14739156]]\n",
      "704 Cost:  5.13338 \n",
      "Prediction:\n",
      " [[-1.69839191]\n",
      " [-1.16414428]\n",
      " [-1.50874114]\n",
      " [-1.94113183]\n",
      " [-1.69339132]\n",
      " [-1.8443141 ]\n",
      " [-2.01552129]\n",
      " [-2.14733648]]\n",
      "705 Cost:  5.13301 \n",
      "Prediction:\n",
      " [[-1.69828188]\n",
      " [-1.16403675]\n",
      " [-1.50865078]\n",
      " [-1.94106054]\n",
      " [-1.69330812]\n",
      " [-1.84423351]\n",
      " [-2.01546526]\n",
      " [-2.14728117]]\n",
      "706 Cost:  5.13264 \n",
      "Prediction:\n",
      " [[-1.69817185]\n",
      " [-1.16392934]\n",
      " [-1.5085603 ]\n",
      " [-1.94098949]\n",
      " [-1.69322467]\n",
      " [-1.84415281]\n",
      " [-2.01540923]\n",
      " [-2.14722586]]\n",
      "707 Cost:  5.13227 \n",
      "Prediction:\n",
      " [[-1.6980617 ]\n",
      " [-1.16382194]\n",
      " [-1.50847006]\n",
      " [-1.94091821]\n",
      " [-1.69314134]\n",
      " [-1.8440721 ]\n",
      " [-2.0153532 ]\n",
      " [-2.14717054]]\n",
      "708 Cost:  5.13189 \n",
      "Prediction:\n",
      " [[-1.69795167]\n",
      " [-1.16371465]\n",
      " [-1.50837958]\n",
      " [-1.94084692]\n",
      " [-1.69305801]\n",
      " [-1.84399152]\n",
      " [-2.01529717]\n",
      " [-2.14711523]]\n",
      "709 Cost:  5.13152 \n",
      "Prediction:\n",
      " [[-1.69784164]\n",
      " [-1.16360712]\n",
      " [-1.5082891 ]\n",
      " [-1.94077587]\n",
      " [-1.69297481]\n",
      " [-1.84391081]\n",
      " [-2.01524115]\n",
      " [-2.14706016]]\n",
      "710 Cost:  5.13115 \n",
      "Prediction:\n",
      " [[-1.69773161]\n",
      " [-1.16349959]\n",
      " [-1.50819874]\n",
      " [-1.94070458]\n",
      " [-1.69289148]\n",
      " [-1.84383011]\n",
      " [-2.01518512]\n",
      " [-2.14700484]]\n",
      "711 Cost:  5.13078 \n",
      "Prediction:\n",
      " [[-1.69762158]\n",
      " [-1.16339231]\n",
      " [-1.50810838]\n",
      " [-1.94063354]\n",
      " [-1.69280815]\n",
      " [-1.84374952]\n",
      " [-2.01512909]\n",
      " [-2.14694953]]\n",
      "712 Cost:  5.13041 \n",
      "Prediction:\n",
      " [[-1.69751143]\n",
      " [-1.16328478]\n",
      " [-1.5080179 ]\n",
      " [-1.94056225]\n",
      " [-1.69272482]\n",
      " [-1.84366882]\n",
      " [-2.01507306]\n",
      " [-2.14689445]]\n",
      "713 Cost:  5.13004 \n",
      "Prediction:\n",
      " [[-1.6974014 ]\n",
      " [-1.16317749]\n",
      " [-1.50792766]\n",
      " [-1.94049108]\n",
      " [-1.6926415 ]\n",
      " [-1.84358823]\n",
      " [-2.01501703]\n",
      " [-2.14683914]]\n",
      "714 Cost:  5.12967 \n",
      "Prediction:\n",
      " [[-1.69729137]\n",
      " [-1.16306996]\n",
      " [-1.50783718]\n",
      " [-1.94041991]\n",
      " [-1.69255817]\n",
      " [-1.84350753]\n",
      " [-2.014961  ]\n",
      " [-2.14678383]]\n",
      "715 Cost:  5.1293 \n",
      "Prediction:\n",
      " [[-1.69718122]\n",
      " [-1.16296244]\n",
      " [-1.5077467 ]\n",
      " [-1.94034863]\n",
      " [-1.69247484]\n",
      " [-1.84342694]\n",
      " [-2.01490498]\n",
      " [-2.14672852]]\n",
      "716 Cost:  5.12893 \n",
      "Prediction:\n",
      " [[-1.69707119]\n",
      " [-1.16285515]\n",
      " [-1.50765634]\n",
      " [-1.94027758]\n",
      " [-1.69239151]\n",
      " [-1.84334624]\n",
      " [-2.01484895]\n",
      " [-2.14667344]]\n",
      "717 Cost:  5.12856 \n",
      "Prediction:\n",
      " [[-1.69696116]\n",
      " [-1.16274762]\n",
      " [-1.50756598]\n",
      " [-1.94020629]\n",
      " [-1.69230819]\n",
      " [-1.84326553]\n",
      " [-2.01479292]\n",
      " [-2.14661813]]\n",
      "718 Cost:  5.12818 \n",
      "Prediction:\n",
      " [[-1.69685113]\n",
      " [-1.16264033]\n",
      " [-1.5074755 ]\n",
      " [-1.94013512]\n",
      " [-1.69222498]\n",
      " [-1.84318495]\n",
      " [-2.01473689]\n",
      " [-2.14656281]]\n",
      "719 Cost:  5.12781 \n",
      "Prediction:\n",
      " [[-1.6967411 ]\n",
      " [-1.16253293]\n",
      " [-1.50738513]\n",
      " [-1.94006395]\n",
      " [-1.69214165]\n",
      " [-1.84310436]\n",
      " [-2.01468086]\n",
      " [-2.14650774]]\n",
      "720 Cost:  5.12744 \n",
      "Prediction:\n",
      " [[-1.69663095]\n",
      " [-1.1624254 ]\n",
      " [-1.50729477]\n",
      " [-1.93999267]\n",
      " [-1.69205832]\n",
      " [-1.84302366]\n",
      " [-2.01462483]\n",
      " [-2.14645243]]\n",
      "721 Cost:  5.12707 \n",
      "Prediction:\n",
      " [[-1.69652092]\n",
      " [-1.16231811]\n",
      " [-1.50720429]\n",
      " [-1.93992162]\n",
      " [-1.69197488]\n",
      " [-1.84294295]\n",
      " [-2.01456881]\n",
      " [-2.14639711]]\n",
      "722 Cost:  5.1267 \n",
      "Prediction:\n",
      " [[-1.69641089]\n",
      " [-1.1622107 ]\n",
      " [-1.50711393]\n",
      " [-1.93985033]\n",
      " [-1.69189167]\n",
      " [-1.84286237]\n",
      " [-2.01451278]\n",
      " [-2.1463418 ]]\n",
      "723 Cost:  5.12633 \n",
      "Prediction:\n",
      " [[-1.69630086]\n",
      " [-1.16210318]\n",
      " [-1.50702357]\n",
      " [-1.93977916]\n",
      " [-1.69180834]\n",
      " [-1.84278178]\n",
      " [-2.01445675]\n",
      " [-2.14628673]]\n",
      "724 Cost:  5.12596 \n",
      "Prediction:\n",
      " [[-1.69619083]\n",
      " [-1.16199589]\n",
      " [-1.50693321]\n",
      " [-1.93970799]\n",
      " [-1.69172502]\n",
      " [-1.84270108]\n",
      " [-2.01440072]\n",
      " [-2.14623141]]\n",
      "725 Cost:  5.12559 \n",
      "Prediction:\n",
      " [[-1.69608068]\n",
      " [-1.16188836]\n",
      " [-1.50684273]\n",
      " [-1.93963683]\n",
      " [-1.69164181]\n",
      " [-1.84262037]\n",
      " [-2.01434469]\n",
      " [-2.1461761 ]]\n",
      "726 Cost:  5.12522 \n",
      "Prediction:\n",
      " [[-1.69597077]\n",
      " [-1.16178107]\n",
      " [-1.50675237]\n",
      " [-1.93956566]\n",
      " [-1.69155848]\n",
      " [-1.84253979]\n",
      " [-2.01428866]\n",
      " [-2.14612079]]\n",
      "727 Cost:  5.12485 \n",
      "Prediction:\n",
      " [[-1.69586062]\n",
      " [-1.16167355]\n",
      " [-1.50666201]\n",
      " [-1.93949449]\n",
      " [-1.69147515]\n",
      " [-1.8424592 ]\n",
      " [-2.01423264]\n",
      " [-2.14606571]]\n",
      "728 Cost:  5.12448 \n",
      "Prediction:\n",
      " [[-1.69575059]\n",
      " [-1.16156614]\n",
      " [-1.50657153]\n",
      " [-1.93942332]\n",
      " [-1.69139194]\n",
      " [-1.8423785 ]\n",
      " [-2.01417661]\n",
      " [-2.1460104 ]]\n",
      "729 Cost:  5.1241 \n",
      "Prediction:\n",
      " [[-1.69564056]\n",
      " [-1.16145873]\n",
      " [-1.50648117]\n",
      " [-1.93935215]\n",
      " [-1.6913085 ]\n",
      " [-1.84229791]\n",
      " [-2.01412058]\n",
      " [-2.14595509]]\n",
      "730 Cost:  5.12373 \n",
      "Prediction:\n",
      " [[-1.69553053]\n",
      " [-1.16135132]\n",
      " [-1.50639081]\n",
      " [-1.93928099]\n",
      " [-1.69122517]\n",
      " [-1.84221721]\n",
      " [-2.01406455]\n",
      " [-2.14589977]]\n",
      "731 Cost:  5.12336 \n",
      "Prediction:\n",
      " [[-1.6954205 ]\n",
      " [-1.16124392]\n",
      " [-1.50630045]\n",
      " [-1.9392097 ]\n",
      " [-1.69114184]\n",
      " [-1.84213662]\n",
      " [-2.01400852]\n",
      " [-2.1458447 ]]\n",
      "732 Cost:  5.12299 \n",
      "Prediction:\n",
      " [[-1.69531047]\n",
      " [-1.16113651]\n",
      " [-1.50620997]\n",
      " [-1.93913865]\n",
      " [-1.69105864]\n",
      " [-1.84205604]\n",
      " [-2.01395249]\n",
      " [-2.14578938]]\n",
      "733 Cost:  5.12262 \n",
      "Prediction:\n",
      " [[-1.69520044]\n",
      " [-1.1610291 ]\n",
      " [-1.50611961]\n",
      " [-1.93906736]\n",
      " [-1.69097531]\n",
      " [-1.84197533]\n",
      " [-2.01389647]\n",
      " [-2.14573407]]\n",
      "734 Cost:  5.12225 \n",
      "Prediction:\n",
      " [[-1.69509029]\n",
      " [-1.16092181]\n",
      " [-1.50602913]\n",
      " [-1.9389962 ]\n",
      " [-1.69089198]\n",
      " [-1.84189463]\n",
      " [-2.01384044]\n",
      " [-2.145679  ]]\n",
      "735 Cost:  5.12188 \n",
      "Prediction:\n",
      " [[-1.69498038]\n",
      " [-1.16081429]\n",
      " [-1.50593877]\n",
      " [-1.93892503]\n",
      " [-1.69080865]\n",
      " [-1.84181404]\n",
      " [-2.01378441]\n",
      " [-2.14562368]]\n",
      "736 Cost:  5.12151 \n",
      "Prediction:\n",
      " [[-1.69487023]\n",
      " [-1.160707  ]\n",
      " [-1.50584841]\n",
      " [-1.93885386]\n",
      " [-1.69072533]\n",
      " [-1.84173334]\n",
      " [-2.01372814]\n",
      " [-2.14556837]]\n",
      "737 Cost:  5.12114 \n",
      "Prediction:\n",
      " [[-1.6947602 ]\n",
      " [-1.16059947]\n",
      " [-1.50575805]\n",
      " [-1.93878269]\n",
      " [-1.69064212]\n",
      " [-1.84165275]\n",
      " [-2.01367235]\n",
      " [-2.14551306]]\n",
      "738 Cost:  5.12077 \n",
      "Prediction:\n",
      " [[-1.69465017]\n",
      " [-1.16049206]\n",
      " [-1.50566769]\n",
      " [-1.93871152]\n",
      " [-1.69055879]\n",
      " [-1.84157205]\n",
      " [-2.01361609]\n",
      " [-2.14545798]]\n",
      "739 Cost:  5.1204 \n",
      "Prediction:\n",
      " [[-1.69454026]\n",
      " [-1.16038477]\n",
      " [-1.50557733]\n",
      " [-1.93864036]\n",
      " [-1.69047546]\n",
      " [-1.84149146]\n",
      " [-2.0135603 ]\n",
      " [-2.14540267]]\n",
      "740 Cost:  5.12003 \n",
      "Prediction:\n",
      " [[-1.69443035]\n",
      " [-1.16027737]\n",
      " [-1.50548697]\n",
      " [-1.93856919]\n",
      " [-1.69039226]\n",
      " [-1.84141088]\n",
      " [-2.01350403]\n",
      " [-2.14534736]]\n",
      "741 Cost:  5.11966 \n",
      "Prediction:\n",
      " [[-1.69432032]\n",
      " [-1.16017008]\n",
      " [-1.5053966 ]\n",
      " [-1.93849802]\n",
      " [-1.69030893]\n",
      " [-1.84133029]\n",
      " [-2.01344824]\n",
      " [-2.14529228]]\n",
      "742 Cost:  5.11929 \n",
      "Prediction:\n",
      " [[-1.69421029]\n",
      " [-1.16006279]\n",
      " [-1.50530624]\n",
      " [-1.93842685]\n",
      " [-1.6902256 ]\n",
      " [-1.8412497 ]\n",
      " [-2.01339197]\n",
      " [-2.14523697]]\n",
      "743 Cost:  5.11892 \n",
      "Prediction:\n",
      " [[-1.69410038]\n",
      " [-1.15995526]\n",
      " [-1.50521588]\n",
      " [-1.93835568]\n",
      " [-1.69014239]\n",
      " [-1.84116912]\n",
      " [-2.01333618]\n",
      " [-2.14518166]]\n",
      "744 Cost:  5.11855 \n",
      "Prediction:\n",
      " [[-1.69399047]\n",
      " [-1.15984797]\n",
      " [-1.50512552]\n",
      " [-1.93828452]\n",
      " [-1.69005907]\n",
      " [-1.84108841]\n",
      " [-2.01327991]\n",
      " [-2.14512634]]\n",
      "745 Cost:  5.11818 \n",
      "Prediction:\n",
      " [[-1.69388044]\n",
      " [-1.15974069]\n",
      " [-1.50503516]\n",
      " [-1.93821335]\n",
      " [-1.68997586]\n",
      " [-1.84100783]\n",
      " [-2.01322389]\n",
      " [-2.14507127]]\n",
      "746 Cost:  5.11781 \n",
      "Prediction:\n",
      " [[-1.69377041]\n",
      " [-1.1596334 ]\n",
      " [-1.5049448 ]\n",
      " [-1.9381423 ]\n",
      " [-1.68989253]\n",
      " [-1.84092724]\n",
      " [-2.01316786]\n",
      " [-2.14501595]]\n",
      "747 Cost:  5.11744 \n",
      "Prediction:\n",
      " [[-1.6936605 ]\n",
      " [-1.15952599]\n",
      " [-1.50485444]\n",
      " [-1.93807113]\n",
      " [-1.68980932]\n",
      " [-1.84084654]\n",
      " [-2.01311183]\n",
      " [-2.14496088]]\n",
      "748 Cost:  5.11706 \n",
      "Prediction:\n",
      " [[-1.69355059]\n",
      " [-1.15941858]\n",
      " [-1.50476408]\n",
      " [-1.93799984]\n",
      " [-1.689726  ]\n",
      " [-1.84076607]\n",
      " [-2.0130558 ]\n",
      " [-2.14490557]]\n",
      "749 Cost:  5.11669 \n",
      "Prediction:\n",
      " [[-1.69344056]\n",
      " [-1.15931129]\n",
      " [-1.50467372]\n",
      " [-1.93792868]\n",
      " [-1.68964279]\n",
      " [-1.84068537]\n",
      " [-2.01299977]\n",
      " [-2.14485025]]\n",
      "750 Cost:  5.11632 \n",
      "Prediction:\n",
      " [[-1.69333053]\n",
      " [-1.15920389]\n",
      " [-1.50458336]\n",
      " [-1.93785763]\n",
      " [-1.68955946]\n",
      " [-1.84060478]\n",
      " [-2.01294374]\n",
      " [-2.14479494]]\n",
      "751 Cost:  5.11595 \n",
      "Prediction:\n",
      " [[-1.69322062]\n",
      " [-1.15909648]\n",
      " [-1.504493  ]\n",
      " [-1.93778634]\n",
      " [-1.68947625]\n",
      " [-1.8405242 ]\n",
      " [-2.01288772]\n",
      " [-2.14473987]]\n",
      "752 Cost:  5.11558 \n",
      "Prediction:\n",
      " [[-1.6931107 ]\n",
      " [-1.15898919]\n",
      " [-1.50440264]\n",
      " [-1.93771529]\n",
      " [-1.68939292]\n",
      " [-1.84044361]\n",
      " [-2.01283169]\n",
      " [-2.14468455]]\n",
      "753 Cost:  5.11521 \n",
      "Prediction:\n",
      " [[-1.69300067]\n",
      " [-1.15888178]\n",
      " [-1.50431228]\n",
      " [-1.937644  ]\n",
      " [-1.6893096 ]\n",
      " [-1.84036291]\n",
      " [-2.01277566]\n",
      " [-2.14462924]]\n",
      "754 Cost:  5.11484 \n",
      "Prediction:\n",
      " [[-1.69289064]\n",
      " [-1.1587745 ]\n",
      " [-1.50422192]\n",
      " [-1.93757296]\n",
      " [-1.68922639]\n",
      " [-1.84028232]\n",
      " [-2.01271963]\n",
      " [-2.14457417]]\n",
      "755 Cost:  5.11447 \n",
      "Prediction:\n",
      " [[-1.69278073]\n",
      " [-1.15866709]\n",
      " [-1.50413156]\n",
      " [-1.93750179]\n",
      " [-1.68914318]\n",
      " [-1.84020174]\n",
      " [-2.0126636 ]\n",
      " [-2.14451885]]\n",
      "756 Cost:  5.1141 \n",
      "Prediction:\n",
      " [[-1.69267082]\n",
      " [-1.15855968]\n",
      " [-1.50404119]\n",
      " [-1.93743062]\n",
      " [-1.68905973]\n",
      " [-1.84012103]\n",
      " [-2.01260757]\n",
      " [-2.14446354]]\n",
      "757 Cost:  5.11373 \n",
      "Prediction:\n",
      " [[-1.69256091]\n",
      " [-1.15845239]\n",
      " [-1.50395083]\n",
      " [-1.93735957]\n",
      " [-1.68897665]\n",
      " [-1.84004056]\n",
      " [-2.01255155]\n",
      " [-2.14440823]]\n",
      "758 Cost:  5.11336 \n",
      "Prediction:\n",
      " [[-1.69245088]\n",
      " [-1.15834498]\n",
      " [-1.50386047]\n",
      " [-1.93728828]\n",
      " [-1.68889332]\n",
      " [-1.83995986]\n",
      " [-2.01249552]\n",
      " [-2.14435315]]\n",
      "759 Cost:  5.11299 \n",
      "Prediction:\n",
      " [[-1.69234097]\n",
      " [-1.1582377 ]\n",
      " [-1.50377023]\n",
      " [-1.93721724]\n",
      " [-1.68881011]\n",
      " [-1.83987927]\n",
      " [-2.01243949]\n",
      " [-2.14429784]]\n",
      "760 Cost:  5.11262 \n",
      "Prediction:\n",
      " [[-1.69223094]\n",
      " [-1.15813041]\n",
      " [-1.50367987]\n",
      " [-1.93714607]\n",
      " [-1.68872678]\n",
      " [-1.83979869]\n",
      " [-2.01238346]\n",
      " [-2.14424253]]\n",
      "761 Cost:  5.11225 \n",
      "Prediction:\n",
      " [[-1.69212103]\n",
      " [-1.15802288]\n",
      " [-1.50358951]\n",
      " [-1.9370749 ]\n",
      " [-1.68864357]\n",
      " [-1.8397181 ]\n",
      " [-2.01232743]\n",
      " [-2.14418745]]\n",
      "762 Cost:  5.11188 \n",
      "Prediction:\n",
      " [[-1.69201112]\n",
      " [-1.15791559]\n",
      " [-1.50349903]\n",
      " [-1.93700385]\n",
      " [-1.68856025]\n",
      " [-1.83963752]\n",
      " [-2.0122714 ]\n",
      " [-2.14413214]]\n",
      "763 Cost:  5.11151 \n",
      "Prediction:\n",
      " [[-1.69190109]\n",
      " [-1.1578083 ]\n",
      " [-1.50340879]\n",
      " [-1.93693256]\n",
      " [-1.68847704]\n",
      " [-1.83955693]\n",
      " [-2.01221538]\n",
      " [-2.14407682]]\n",
      "764 Cost:  5.11114 \n",
      "Prediction:\n",
      " [[-1.69179118]\n",
      " [-1.15770102]\n",
      " [-1.50331843]\n",
      " [-1.9368614 ]\n",
      " [-1.68839383]\n",
      " [-1.83947635]\n",
      " [-2.01215935]\n",
      " [-2.14402151]]\n",
      "765 Cost:  5.11077 \n",
      "Prediction:\n",
      " [[-1.69168115]\n",
      " [-1.15759361]\n",
      " [-1.50322807]\n",
      " [-1.93679023]\n",
      " [-1.6883105 ]\n",
      " [-1.83939576]\n",
      " [-2.01210332]\n",
      " [-2.14396644]]\n",
      "766 Cost:  5.1104 \n",
      "Prediction:\n",
      " [[-1.69157124]\n",
      " [-1.1574862 ]\n",
      " [-1.50313771]\n",
      " [-1.93671918]\n",
      " [-1.68822718]\n",
      " [-1.83931506]\n",
      " [-2.01204729]\n",
      " [-2.14391112]]\n",
      "767 Cost:  5.11003 \n",
      "Prediction:\n",
      " [[-1.69146132]\n",
      " [-1.15737891]\n",
      " [-1.50304747]\n",
      " [-1.93664789]\n",
      " [-1.68814397]\n",
      " [-1.83923447]\n",
      " [-2.01199126]\n",
      " [-2.14385581]]\n",
      "768 Cost:  5.10966 \n",
      "Prediction:\n",
      " [[-1.69135141]\n",
      " [-1.1572715 ]\n",
      " [-1.50295699]\n",
      " [-1.93657684]\n",
      " [-1.68806064]\n",
      " [-1.83915389]\n",
      " [-2.01193523]\n",
      " [-2.14380074]]\n",
      "769 Cost:  5.10929 \n",
      "Prediction:\n",
      " [[-1.69124138]\n",
      " [-1.15716434]\n",
      " [-1.50286663]\n",
      " [-1.93650556]\n",
      " [-1.68797743]\n",
      " [-1.8390733 ]\n",
      " [-2.01187921]\n",
      " [-2.14374542]]\n",
      "770 Cost:  5.10892 \n",
      "Prediction:\n",
      " [[-1.69113135]\n",
      " [-1.15705681]\n",
      " [-1.50277627]\n",
      " [-1.93643451]\n",
      " [-1.68789411]\n",
      " [-1.8389926 ]\n",
      " [-2.01182318]\n",
      " [-2.14369011]]\n",
      "771 Cost:  5.10855 \n",
      "Prediction:\n",
      " [[-1.69102144]\n",
      " [-1.15694952]\n",
      " [-1.50268602]\n",
      " [-1.93636334]\n",
      " [-1.6878109 ]\n",
      " [-1.83891201]\n",
      " [-2.01176715]\n",
      " [-2.1436348 ]]\n",
      "772 Cost:  5.10818 \n",
      "Prediction:\n",
      " [[-1.69091153]\n",
      " [-1.15684223]\n",
      " [-1.50259566]\n",
      " [-1.93629217]\n",
      " [-1.68772757]\n",
      " [-1.83883142]\n",
      " [-2.01171112]\n",
      " [-2.14357972]]\n",
      "773 Cost:  5.10781 \n",
      "Prediction:\n",
      " [[-1.69080162]\n",
      " [-1.15673494]\n",
      " [-1.5025053 ]\n",
      " [-1.93622112]\n",
      " [-1.68764448]\n",
      " [-1.83875096]\n",
      " [-2.01165509]\n",
      " [-2.14352441]]\n",
      "774 Cost:  5.10744 \n",
      "Prediction:\n",
      " [[-1.69069171]\n",
      " [-1.15662766]\n",
      " [-1.50241506]\n",
      " [-1.93614995]\n",
      " [-1.68756115]\n",
      " [-1.83867037]\n",
      " [-2.01159906]\n",
      " [-2.14346933]]\n",
      "775 Cost:  5.10707 \n",
      "Prediction:\n",
      " [[-1.69058168]\n",
      " [-1.15652037]\n",
      " [-1.5023247 ]\n",
      " [-1.93607879]\n",
      " [-1.68747783]\n",
      " [-1.83858967]\n",
      " [-2.01154304]\n",
      " [-2.14341402]]\n",
      "776 Cost:  5.1067 \n",
      "Prediction:\n",
      " [[-1.69047177]\n",
      " [-1.15641308]\n",
      " [-1.50223446]\n",
      " [-1.93600762]\n",
      " [-1.68739462]\n",
      " [-1.8385092 ]\n",
      " [-2.01148701]\n",
      " [-2.14335895]]\n",
      "777 Cost:  5.10633 \n",
      "Prediction:\n",
      " [[-1.69036198]\n",
      " [-1.15630579]\n",
      " [-1.50214422]\n",
      " [-1.93593657]\n",
      " [-1.68731153]\n",
      " [-1.83842874]\n",
      " [-2.01143122]\n",
      " [-2.14330363]]\n",
      "778 Cost:  5.10596 \n",
      "Prediction:\n",
      " [[-1.69025207]\n",
      " [-1.15619874]\n",
      " [-1.50205398]\n",
      " [-1.9358654 ]\n",
      " [-1.68722832]\n",
      " [-1.83834815]\n",
      " [-2.01137519]\n",
      " [-2.14324856]]\n",
      "779 Cost:  5.10559 \n",
      "Prediction:\n",
      " [[-1.69014227]\n",
      " [-1.15609157]\n",
      " [-1.50196362]\n",
      " [-1.93579435]\n",
      " [-1.68714523]\n",
      " [-1.83826756]\n",
      " [-2.01131916]\n",
      " [-2.14319324]]\n",
      "780 Cost:  5.10522 \n",
      "Prediction:\n",
      " [[-1.69003248]\n",
      " [-1.1559844 ]\n",
      " [-1.50187349]\n",
      " [-1.9357233 ]\n",
      " [-1.68706203]\n",
      " [-1.8381871 ]\n",
      " [-2.01126313]\n",
      " [-2.14313793]]\n",
      "781 Cost:  5.10485 \n",
      "Prediction:\n",
      " [[-1.68992269]\n",
      " [-1.15587711]\n",
      " [-1.50178325]\n",
      " [-1.93565214]\n",
      " [-1.68697882]\n",
      " [-1.83810663]\n",
      " [-2.0112071 ]\n",
      " [-2.14308286]]\n",
      "782 Cost:  5.10449 \n",
      "Prediction:\n",
      " [[-1.6898129 ]\n",
      " [-1.15576994]\n",
      " [-1.50169301]\n",
      " [-1.93558109]\n",
      " [-1.68689561]\n",
      " [-1.83802605]\n",
      " [-2.01115131]\n",
      " [-2.14302754]]\n",
      "783 Cost:  5.10412 \n",
      "Prediction:\n",
      " [[-1.68970299]\n",
      " [-1.15566278]\n",
      " [-1.50160277]\n",
      " [-1.93551004]\n",
      " [-1.6868124 ]\n",
      " [-1.83794558]\n",
      " [-2.01109505]\n",
      " [-2.14297247]]\n",
      "784 Cost:  5.10375 \n",
      "Prediction:\n",
      " [[-1.6895932 ]\n",
      " [-1.15555549]\n",
      " [-1.50151253]\n",
      " [-1.93543887]\n",
      " [-1.68672931]\n",
      " [-1.837865  ]\n",
      " [-2.01103926]\n",
      " [-2.14291716]]\n",
      "785 Cost:  5.10338 \n",
      "Prediction:\n",
      " [[-1.6894834 ]\n",
      " [-1.15544832]\n",
      " [-1.50142241]\n",
      " [-1.93536782]\n",
      " [-1.6866461 ]\n",
      " [-1.83778453]\n",
      " [-2.01098323]\n",
      " [-2.14286184]]\n",
      "786 Cost:  5.10301 \n",
      "Prediction:\n",
      " [[-1.68937349]\n",
      " [-1.15534115]\n",
      " [-1.50133204]\n",
      " [-1.93529677]\n",
      " [-1.68656301]\n",
      " [-1.83770394]\n",
      " [-2.0109272 ]\n",
      " [-2.14280677]]\n",
      "787 Cost:  5.10264 \n",
      "Prediction:\n",
      " [[-1.6892637 ]\n",
      " [-1.1552341 ]\n",
      " [-1.5012418 ]\n",
      " [-1.93522573]\n",
      " [-1.68647981]\n",
      " [-1.83762348]\n",
      " [-2.01087117]\n",
      " [-2.14275146]]\n",
      "788 Cost:  5.10227 \n",
      "Prediction:\n",
      " [[-1.68915391]\n",
      " [-1.15512681]\n",
      " [-1.50115168]\n",
      " [-1.93515456]\n",
      " [-1.6863966 ]\n",
      " [-1.83754301]\n",
      " [-2.01081514]\n",
      " [-2.14269638]]\n",
      "789 Cost:  5.1019 \n",
      "Prediction:\n",
      " [[-1.68904412]\n",
      " [-1.15501964]\n",
      " [-1.50106144]\n",
      " [-1.93508339]\n",
      " [-1.68631339]\n",
      " [-1.83746243]\n",
      " [-2.01075935]\n",
      " [-2.14264107]]\n",
      "790 Cost:  5.10153 \n",
      "Prediction:\n",
      " [[-1.68893433]\n",
      " [-1.15491247]\n",
      " [-1.50097108]\n",
      " [-1.93501234]\n",
      " [-1.6862303 ]\n",
      " [-1.83738184]\n",
      " [-2.01070333]\n",
      " [-2.14258599]]\n",
      "791 Cost:  5.10116 \n",
      "Prediction:\n",
      " [[-1.68882442]\n",
      " [-1.15480518]\n",
      " [-1.50088096]\n",
      " [-1.93494129]\n",
      " [-1.68614709]\n",
      " [-1.83730149]\n",
      " [-2.0106473 ]\n",
      " [-2.14253068]]\n",
      "792 Cost:  5.10079 \n",
      "Prediction:\n",
      " [[-1.68871474]\n",
      " [-1.15469801]\n",
      " [-1.50079072]\n",
      " [-1.93487024]\n",
      " [-1.686064  ]\n",
      " [-1.83722091]\n",
      " [-2.01059127]\n",
      " [-2.14247561]]\n",
      "793 Cost:  5.10042 \n",
      "Prediction:\n",
      " [[-1.68860483]\n",
      " [-1.15459085]\n",
      " [-1.50070047]\n",
      " [-1.93479919]\n",
      " [-1.6859808 ]\n",
      " [-1.83714032]\n",
      " [-2.01053524]\n",
      " [-2.14242029]]\n",
      "794 Cost:  5.10005 \n",
      "Prediction:\n",
      " [[-1.68849504]\n",
      " [-1.15448368]\n",
      " [-1.50061023]\n",
      " [-1.93472815]\n",
      " [-1.68589759]\n",
      " [-1.83705986]\n",
      " [-2.01047921]\n",
      " [-2.14236498]]\n",
      "795 Cost:  5.09968 \n",
      "Prediction:\n",
      " [[-1.68838525]\n",
      " [-1.15437651]\n",
      " [-1.50051999]\n",
      " [-1.9346571 ]\n",
      " [-1.68581438]\n",
      " [-1.83697939]\n",
      " [-2.01042318]\n",
      " [-2.1423099 ]]\n",
      "796 Cost:  5.09932 \n",
      "Prediction:\n",
      " [[-1.68827546]\n",
      " [-1.15426946]\n",
      " [-1.50042987]\n",
      " [-1.93458593]\n",
      " [-1.68573129]\n",
      " [-1.8368988 ]\n",
      " [-2.01036739]\n",
      " [-2.14225459]]\n",
      "797 Cost:  5.09895 \n",
      "Prediction:\n",
      " [[-1.68816566]\n",
      " [-1.15416217]\n",
      " [-1.50033963]\n",
      " [-1.93451476]\n",
      " [-1.6856482 ]\n",
      " [-1.83681834]\n",
      " [-2.01031137]\n",
      " [-2.14219952]]\n",
      "798 Cost:  5.09858 \n",
      "Prediction:\n",
      " [[-1.68805575]\n",
      " [-1.15405512]\n",
      " [-1.50024939]\n",
      " [-1.93444371]\n",
      " [-1.68556499]\n",
      " [-1.83673787]\n",
      " [-2.01025534]\n",
      " [-2.1421442 ]]\n",
      "799 Cost:  5.09821 \n",
      "Prediction:\n",
      " [[-1.68794608]\n",
      " [-1.15394783]\n",
      " [-1.50015914]\n",
      " [-1.93437266]\n",
      " [-1.68548179]\n",
      " [-1.83665729]\n",
      " [-2.01019931]\n",
      " [-2.14208889]]\n",
      "800 Cost:  5.09784 \n",
      "Prediction:\n",
      " [[-1.68783617]\n",
      " [-1.15384066]\n",
      " [-1.5000689 ]\n",
      " [-1.93430161]\n",
      " [-1.68539858]\n",
      " [-1.83657682]\n",
      " [-2.01014328]\n",
      " [-2.14203382]]\n",
      "801 Cost:  5.09747 \n",
      "Prediction:\n",
      " [[-1.68772638]\n",
      " [-1.15373349]\n",
      " [-1.49997866]\n",
      " [-1.93423057]\n",
      " [-1.68531549]\n",
      " [-1.83649635]\n",
      " [-2.01008749]\n",
      " [-2.1419785 ]]\n",
      "802 Cost:  5.0971 \n",
      "Prediction:\n",
      " [[-1.68761659]\n",
      " [-1.1536262 ]\n",
      " [-1.49988842]\n",
      " [-1.9341594 ]\n",
      " [-1.68523228]\n",
      " [-1.83641577]\n",
      " [-2.01003146]\n",
      " [-2.14192343]]\n",
      "803 Cost:  5.09673 \n",
      "Prediction:\n",
      " [[-1.68750679]\n",
      " [-1.15351915]\n",
      " [-1.4997983 ]\n",
      " [-1.93408823]\n",
      " [-1.68514919]\n",
      " [-1.83633518]\n",
      " [-2.00997543]\n",
      " [-2.14186811]]\n",
      "804 Cost:  5.09636 \n",
      "Prediction:\n",
      " [[-1.687397  ]\n",
      " [-1.15341187]\n",
      " [-1.49970794]\n",
      " [-1.93401718]\n",
      " [-1.68506598]\n",
      " [-1.83625472]\n",
      " [-2.0099194 ]\n",
      " [-2.14181304]]\n",
      "805 Cost:  5.09599 \n",
      "Prediction:\n",
      " [[-1.68728721]\n",
      " [-1.15330482]\n",
      " [-1.4996177 ]\n",
      " [-1.93394613]\n",
      " [-1.68498278]\n",
      " [-1.83617425]\n",
      " [-2.00986338]\n",
      " [-2.14175773]]\n",
      "806 Cost:  5.09562 \n",
      "Prediction:\n",
      " [[-1.68717742]\n",
      " [-1.15319753]\n",
      " [-1.49952745]\n",
      " [-1.93387508]\n",
      " [-1.68489969]\n",
      " [-1.83609366]\n",
      " [-2.00980759]\n",
      " [-2.14170241]]\n",
      "807 Cost:  5.09525 \n",
      "Prediction:\n",
      " [[-1.68706751]\n",
      " [-1.15309048]\n",
      " [-1.49943733]\n",
      " [-1.93380404]\n",
      " [-1.68481648]\n",
      " [-1.8360132 ]\n",
      " [-2.00975132]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [-2.14164734]]\n",
      "808 Cost:  5.09489 \n",
      "Prediction:\n",
      " [[-1.68695784]\n",
      " [-1.15298319]\n",
      " [-1.49934709]\n",
      " [-1.93373299]\n",
      " [-1.68473339]\n",
      " [-1.83593273]\n",
      " [-2.00969553]\n",
      " [-2.14159203]]\n",
      "809 Cost:  5.09452 \n",
      "Prediction:\n",
      " [[-1.68684793]\n",
      " [-1.15287614]\n",
      " [-1.49925685]\n",
      " [-1.93366182]\n",
      " [-1.68465018]\n",
      " [-1.83585215]\n",
      " [-2.0096395 ]\n",
      " [-2.14153695]]\n",
      "810 Cost:  5.09415 \n",
      "Prediction:\n",
      " [[-1.68673825]\n",
      " [-1.15276885]\n",
      " [-1.49916673]\n",
      " [-1.93359077]\n",
      " [-1.68456709]\n",
      " [-1.8357718 ]\n",
      " [-2.00958347]\n",
      " [-2.14148164]]\n",
      "811 Cost:  5.09378 \n",
      "Prediction:\n",
      " [[-1.68662858]\n",
      " [-1.1526618 ]\n",
      " [-1.49907649]\n",
      " [-1.93351972]\n",
      " [-1.68448389]\n",
      " [-1.83569121]\n",
      " [-2.00952744]\n",
      " [-2.14142656]]\n",
      "812 Cost:  5.09341 \n",
      "Prediction:\n",
      " [[-1.68651879]\n",
      " [-1.15255475]\n",
      " [-1.49898624]\n",
      " [-1.93344867]\n",
      " [-1.6844008 ]\n",
      " [-1.83561075]\n",
      " [-2.00947142]\n",
      " [-2.14137125]]\n",
      "813 Cost:  5.09304 \n",
      "Prediction:\n",
      " [[-1.686409  ]\n",
      " [-1.15244746]\n",
      " [-1.49889612]\n",
      " [-1.93337762]\n",
      " [-1.68431771]\n",
      " [-1.83553028]\n",
      " [-2.00941563]\n",
      " [-2.14131594]]\n",
      "814 Cost:  5.09267 \n",
      "Prediction:\n",
      " [[-1.68629932]\n",
      " [-1.15234041]\n",
      " [-1.498806  ]\n",
      " [-1.93330657]\n",
      " [-1.6842345 ]\n",
      " [-1.83544981]\n",
      " [-2.0093596 ]\n",
      " [-2.14126086]]\n",
      "815 Cost:  5.0923 \n",
      "Prediction:\n",
      " [[-1.68618965]\n",
      " [-1.15223336]\n",
      " [-1.49871576]\n",
      " [-1.93323541]\n",
      " [-1.68415141]\n",
      " [-1.83536935]\n",
      " [-2.00930357]\n",
      " [-2.14120555]]\n",
      "816 Cost:  5.09194 \n",
      "Prediction:\n",
      " [[-1.68607986]\n",
      " [-1.15212619]\n",
      " [-1.49862552]\n",
      " [-1.93316436]\n",
      " [-1.68406832]\n",
      " [-1.83528888]\n",
      " [-2.00924754]\n",
      " [-2.14115047]]\n",
      "817 Cost:  5.09157 \n",
      "Prediction:\n",
      " [[-1.68597007]\n",
      " [-1.15201902]\n",
      " [-1.49853539]\n",
      " [-1.93309331]\n",
      " [-1.68398523]\n",
      " [-1.83520842]\n",
      " [-2.00919151]\n",
      " [-2.14109516]]\n",
      "818 Cost:  5.0912 \n",
      "Prediction:\n",
      " [[-1.6858604 ]\n",
      " [-1.15191197]\n",
      " [-1.49844527]\n",
      " [-1.93302226]\n",
      " [-1.68390203]\n",
      " [-1.83512783]\n",
      " [-2.00913572]\n",
      " [-2.14104009]]\n",
      "819 Cost:  5.09083 \n",
      "Prediction:\n",
      " [[-1.68575072]\n",
      " [-1.15180469]\n",
      " [-1.49835503]\n",
      " [-1.93295121]\n",
      " [-1.68381894]\n",
      " [-1.83504736]\n",
      " [-2.00907969]\n",
      " [-2.14098477]]\n",
      "820 Cost:  5.09046 \n",
      "Prediction:\n",
      " [[-1.68564093]\n",
      " [-1.15169764]\n",
      " [-1.49826479]\n",
      " [-1.93288016]\n",
      " [-1.68373573]\n",
      " [-1.8349669 ]\n",
      " [-2.00902367]\n",
      " [-2.1409297 ]]\n",
      "821 Cost:  5.09009 \n",
      "Prediction:\n",
      " [[-1.68553114]\n",
      " [-1.15159047]\n",
      " [-1.49817467]\n",
      " [-1.93280911]\n",
      " [-1.68365264]\n",
      " [-1.83488643]\n",
      " [-2.00896764]\n",
      " [-2.14087439]]\n",
      "822 Cost:  5.08972 \n",
      "Prediction:\n",
      " [[-1.68542147]\n",
      " [-1.1514833 ]\n",
      " [-1.49808443]\n",
      " [-1.93273807]\n",
      " [-1.68356943]\n",
      " [-1.83480597]\n",
      " [-2.00891161]\n",
      " [-2.14081931]]\n",
      "823 Cost:  5.08935 \n",
      "Prediction:\n",
      " [[-1.68531179]\n",
      " [-1.15137637]\n",
      " [-1.49799418]\n",
      " [-1.93266702]\n",
      " [-1.68348634]\n",
      " [-1.8347255 ]\n",
      " [-2.00885582]\n",
      " [-2.140764  ]]\n",
      "824 Cost:  5.08899 \n",
      "Prediction:\n",
      " [[-1.68520224]\n",
      " [-1.15126944]\n",
      " [-1.4979043 ]\n",
      " [-1.93259621]\n",
      " [-1.68340349]\n",
      " [-1.83464527]\n",
      " [-2.00880003]\n",
      " [-2.14070892]]\n",
      "825 Cost:  5.08862 \n",
      "Prediction:\n",
      " [[-1.68509281]\n",
      " [-1.15116262]\n",
      " [-1.49781442]\n",
      " [-1.9325254 ]\n",
      " [-1.68332064]\n",
      " [-1.83456504]\n",
      " [-2.00874424]\n",
      " [-2.14065409]]\n",
      "826 Cost:  5.08825 \n",
      "Prediction:\n",
      " [[-1.68498325]\n",
      " [-1.15105569]\n",
      " [-1.49772441]\n",
      " [-1.93245459]\n",
      " [-1.68323779]\n",
      " [-1.83448482]\n",
      " [-2.00868845]\n",
      " [-2.14059901]]\n",
      "827 Cost:  5.08788 \n",
      "Prediction:\n",
      " [[-1.68487382]\n",
      " [-1.15094876]\n",
      " [-1.49763441]\n",
      " [-1.93238378]\n",
      " [-1.68315482]\n",
      " [-1.83440447]\n",
      " [-2.00863266]\n",
      " [-2.14054418]]\n",
      "828 Cost:  5.08752 \n",
      "Prediction:\n",
      " [[-1.68476439]\n",
      " [-1.15084183]\n",
      " [-1.49754453]\n",
      " [-1.93231297]\n",
      " [-1.68307197]\n",
      " [-1.83432436]\n",
      " [-2.00857687]\n",
      " [-2.1404891 ]]\n",
      "829 Cost:  5.08715 \n",
      "Prediction:\n",
      " [[-1.68465495]\n",
      " [-1.1507349 ]\n",
      " [-1.49745464]\n",
      " [-1.93224216]\n",
      " [-1.682989  ]\n",
      " [-1.83424401]\n",
      " [-2.00852108]\n",
      " [-2.14043427]]\n",
      "830 Cost:  5.08678 \n",
      "Prediction:\n",
      " [[-1.6845454 ]\n",
      " [-1.15062809]\n",
      " [-1.49736476]\n",
      " [-1.93217134]\n",
      " [-1.68290615]\n",
      " [-1.83416378]\n",
      " [-2.00846553]\n",
      " [-2.14037919]]\n",
      "831 Cost:  5.08641 \n",
      "Prediction:\n",
      " [[-1.68443584]\n",
      " [-1.15052116]\n",
      " [-1.49727476]\n",
      " [-1.93210053]\n",
      " [-1.6828233 ]\n",
      " [-1.83408356]\n",
      " [-2.00840974]\n",
      " [-2.14032435]]\n",
      "832 Cost:  5.08605 \n",
      "Prediction:\n",
      " [[-1.68432641]\n",
      " [-1.15041447]\n",
      " [-1.49718475]\n",
      " [-1.93202972]\n",
      " [-1.68274045]\n",
      " [-1.83400333]\n",
      " [-2.00835395]\n",
      " [-2.14026928]]\n",
      "833 Cost:  5.08568 \n",
      "Prediction:\n",
      " [[-1.68421698]\n",
      " [-1.15030742]\n",
      " [-1.49709487]\n",
      " [-1.93195891]\n",
      " [-1.68265748]\n",
      " [-1.8339231 ]\n",
      " [-2.00829816]\n",
      " [-2.14021444]]\n",
      "834 Cost:  5.08531 \n",
      "Prediction:\n",
      " [[-1.68410754]\n",
      " [-1.15020061]\n",
      " [-1.49700487]\n",
      " [-1.9318881 ]\n",
      " [-1.68257451]\n",
      " [-1.83384299]\n",
      " [-2.00824261]\n",
      " [-2.14015937]]\n",
      "835 Cost:  5.08494 \n",
      "Prediction:\n",
      " [[-1.68399799]\n",
      " [-1.15009379]\n",
      " [-1.49691486]\n",
      " [-1.93181717]\n",
      " [-1.68249178]\n",
      " [-1.83376265]\n",
      " [-2.00818682]\n",
      " [-2.14010429]]\n",
      "836 Cost:  5.08458 \n",
      "Prediction:\n",
      " [[-1.68388855]\n",
      " [-1.14998674]\n",
      " [-1.49682498]\n",
      " [-1.93174648]\n",
      " [-1.68240881]\n",
      " [-1.83368242]\n",
      " [-2.00813103]\n",
      " [-2.14004946]]\n",
      "837 Cost:  5.08421 \n",
      "Prediction:\n",
      " [[-1.683779  ]\n",
      " [-1.14987993]\n",
      " [-1.4967351 ]\n",
      " [-1.93167567]\n",
      " [-1.68232596]\n",
      " [-1.83360219]\n",
      " [-2.00807524]\n",
      " [-2.13999438]]\n",
      "838 Cost:  5.08384 \n",
      "Prediction:\n",
      " [[-1.68366957]\n",
      " [-1.149773  ]\n",
      " [-1.49664509]\n",
      " [-1.93160486]\n",
      " [-1.68224311]\n",
      " [-1.83352196]\n",
      " [-2.00801945]\n",
      " [-2.13993955]]\n",
      "839 Cost:  5.08348 \n",
      "Prediction:\n",
      " [[-1.68356013]\n",
      " [-1.14966607]\n",
      " [-1.49655509]\n",
      " [-1.93153393]\n",
      " [-1.68216026]\n",
      " [-1.83344173]\n",
      " [-2.00796366]\n",
      " [-2.13988447]]\n",
      "840 Cost:  5.08311 \n",
      "Prediction:\n",
      " [[-1.68345058]\n",
      " [-1.14955926]\n",
      " [-1.49646521]\n",
      " [-1.93146324]\n",
      " [-1.68207729]\n",
      " [-1.83336151]\n",
      " [-2.00790787]\n",
      " [-2.13982964]]\n",
      "841 Cost:  5.08274 \n",
      "Prediction:\n",
      " [[-1.68334115]\n",
      " [-1.14945245]\n",
      " [-1.49637532]\n",
      " [-1.93139243]\n",
      " [-1.68199444]\n",
      " [-1.83328128]\n",
      " [-2.00785232]\n",
      " [-2.13977456]]\n",
      "842 Cost:  5.08237 \n",
      "Prediction:\n",
      " [[-1.68323171]\n",
      " [-1.14934564]\n",
      " [-1.49628544]\n",
      " [-1.93132162]\n",
      " [-1.68191147]\n",
      " [-1.83320093]\n",
      " [-2.00779653]\n",
      " [-2.13971949]]\n",
      "843 Cost:  5.08201 \n",
      "Prediction:\n",
      " [[-1.68312216]\n",
      " [-1.14923871]\n",
      " [-1.49619544]\n",
      " [-1.93125069]\n",
      " [-1.68182862]\n",
      " [-1.83312082]\n",
      " [-2.00774074]\n",
      " [-2.13966465]]\n",
      "844 Cost:  5.08164 \n",
      "Prediction:\n",
      " [[-1.68301272]\n",
      " [-1.14913177]\n",
      " [-1.49610543]\n",
      " [-1.93118   ]\n",
      " [-1.68174577]\n",
      " [-1.8330406 ]\n",
      " [-2.00768495]\n",
      " [-2.13960958]]\n",
      "845 Cost:  5.08127 \n",
      "Prediction:\n",
      " [[-1.68290329]\n",
      " [-1.14902496]\n",
      " [-1.49601555]\n",
      " [-1.93110919]\n",
      " [-1.68166292]\n",
      " [-1.83296037]\n",
      " [-2.00762939]\n",
      " [-2.13955474]]\n",
      "846 Cost:  5.0809 \n",
      "Prediction:\n",
      " [[-1.68279386]\n",
      " [-1.14891815]\n",
      " [-1.49592566]\n",
      " [-1.93103826]\n",
      " [-1.68158007]\n",
      " [-1.83288014]\n",
      " [-2.0075736 ]\n",
      " [-2.13949966]]\n",
      "847 Cost:  5.08054 \n",
      "Prediction:\n",
      " [[-1.68268442]\n",
      " [-1.14881122]\n",
      " [-1.49583566]\n",
      " [-1.93096745]\n",
      " [-1.6814971 ]\n",
      " [-1.83279991]\n",
      " [-2.00751781]\n",
      " [-2.13944483]]\n",
      "848 Cost:  5.08017 \n",
      "Prediction:\n",
      " [[-1.68257487]\n",
      " [-1.14870429]\n",
      " [-1.49574578]\n",
      " [-1.93089676]\n",
      " [-1.68141437]\n",
      " [-1.83271968]\n",
      " [-2.00746202]\n",
      " [-2.13938975]]\n",
      "849 Cost:  5.0798 \n",
      "Prediction:\n",
      " [[-1.68246543]\n",
      " [-1.14859748]\n",
      " [-1.49565578]\n",
      " [-1.93082595]\n",
      " [-1.6813314 ]\n",
      " [-1.83263946]\n",
      " [-2.00740623]\n",
      " [-2.13933492]]\n",
      "850 Cost:  5.07944 \n",
      "Prediction:\n",
      " [[-1.682356  ]\n",
      " [-1.14849067]\n",
      " [-1.49556589]\n",
      " [-1.93075502]\n",
      " [-1.68124855]\n",
      " [-1.83255923]\n",
      " [-2.00735044]\n",
      " [-2.13927984]]\n",
      "851 Cost:  5.07907 \n",
      "Prediction:\n",
      " [[-1.68224645]\n",
      " [-1.14838386]\n",
      " [-1.49547589]\n",
      " [-1.93068421]\n",
      " [-1.6811657 ]\n",
      " [-1.832479  ]\n",
      " [-2.00729489]\n",
      " [-2.13922501]]\n",
      "852 Cost:  5.0787 \n",
      "Prediction:\n",
      " [[-1.68213701]\n",
      " [-1.14827681]\n",
      " [-1.49538612]\n",
      " [-1.93061352]\n",
      " [-1.68108273]\n",
      " [-1.83239877]\n",
      " [-2.0072391 ]\n",
      " [-2.13916993]]\n",
      "853 Cost:  5.07833 \n",
      "Prediction:\n",
      " [[-1.68202758]\n",
      " [-1.14816999]\n",
      " [-1.49529612]\n",
      " [-1.93054259]\n",
      " [-1.68099988]\n",
      " [-1.83231854]\n",
      " [-2.00718331]\n",
      " [-2.13911486]]\n",
      "854 Cost:  5.07797 \n",
      "Prediction:\n",
      " [[-1.68191814]\n",
      " [-1.14806318]\n",
      " [-1.49520612]\n",
      " [-1.93047178]\n",
      " [-1.68091702]\n",
      " [-1.83223832]\n",
      " [-2.00712752]\n",
      " [-2.13906002]]\n",
      "855 Cost:  5.0776 \n",
      "Prediction:\n",
      " [[-1.68180871]\n",
      " [-1.14795625]\n",
      " [-1.49511623]\n",
      " [-1.93040109]\n",
      " [-1.68083417]\n",
      " [-1.83215809]\n",
      " [-2.00707173]\n",
      " [-2.13900495]]\n",
      "856 Cost:  5.07723 \n",
      "Prediction:\n",
      " [[-1.68169916]\n",
      " [-1.14784944]\n",
      " [-1.49502623]\n",
      " [-1.93033028]\n",
      " [-1.68075132]\n",
      " [-1.83207786]\n",
      " [-2.00701618]\n",
      " [-2.13895011]]\n",
      "857 Cost:  5.07687 \n",
      "Prediction:\n",
      " [[-1.68158972]\n",
      " [-1.14774251]\n",
      " [-1.49493635]\n",
      " [-1.93025947]\n",
      " [-1.68066847]\n",
      " [-1.83199763]\n",
      " [-2.00696039]\n",
      " [-2.13889503]]\n",
      "858 Cost:  5.0765 \n",
      "Prediction:\n",
      " [[-1.68148029]\n",
      " [-1.1476357 ]\n",
      " [-1.49484634]\n",
      " [-1.93018866]\n",
      " [-1.6805855 ]\n",
      " [-1.83191741]\n",
      " [-2.0069046 ]\n",
      " [-2.1388402 ]]\n",
      "859 Cost:  5.07613 \n",
      "Prediction:\n",
      " [[-1.68137085]\n",
      " [-1.14752889]\n",
      " [-1.49475646]\n",
      " [-1.93011785]\n",
      " [-1.68050265]\n",
      " [-1.83183718]\n",
      " [-2.00684881]\n",
      " [-2.13878512]]\n",
      "860 Cost:  5.07576 \n",
      "Prediction:\n",
      " [[-1.6812613 ]\n",
      " [-1.14742196]\n",
      " [-1.49466658]\n",
      " [-1.93004704]\n",
      " [-1.6804198 ]\n",
      " [-1.83175695]\n",
      " [-2.00679302]\n",
      " [-2.13873005]]\n",
      "861 Cost:  5.0754 \n",
      "Prediction:\n",
      " [[-1.68115187]\n",
      " [-1.14731514]\n",
      " [-1.49457669]\n",
      " [-1.92997622]\n",
      " [-1.68033695]\n",
      " [-1.83167672]\n",
      " [-2.00673747]\n",
      " [-2.13867521]]\n",
      "862 Cost:  5.07503 \n",
      "Prediction:\n",
      " [[-1.68104243]\n",
      " [-1.14720821]\n",
      " [-1.49448669]\n",
      " [-1.92990541]\n",
      " [-1.6802541 ]\n",
      " [-1.83159661]\n",
      " [-2.00668168]\n",
      " [-2.13862038]]\n",
      "863 Cost:  5.07466 \n",
      "Prediction:\n",
      " [[-1.680933  ]\n",
      " [-1.1471014 ]\n",
      " [-1.49439692]\n",
      " [-1.9298346 ]\n",
      " [-1.68017125]\n",
      " [-1.83151627]\n",
      " [-2.00662589]\n",
      " [-2.1385653 ]]\n",
      "864 Cost:  5.0743 \n",
      "Prediction:\n",
      " [[-1.68082356]\n",
      " [-1.14699459]\n",
      " [-1.49430692]\n",
      " [-1.92976379]\n",
      " [-1.68008828]\n",
      " [-1.83143604]\n",
      " [-2.0065701 ]\n",
      " [-2.13851023]]\n",
      "865 Cost:  5.07393 \n",
      "Prediction:\n",
      " [[-1.68071413]\n",
      " [-1.14688778]\n",
      " [-1.49421704]\n",
      " [-1.92969298]\n",
      " [-1.68000555]\n",
      " [-1.83135593]\n",
      " [-2.00651455]\n",
      " [-2.13845539]]\n",
      "866 Cost:  5.07356 \n",
      "Prediction:\n",
      " [[-1.6806047 ]\n",
      " [-1.14678097]\n",
      " [-1.49412715]\n",
      " [-1.92962217]\n",
      " [-1.6799227 ]\n",
      " [-1.8312757 ]\n",
      " [-2.00645876]\n",
      " [-2.13840055]]\n",
      "867 Cost:  5.0732 \n",
      "Prediction:\n",
      " [[-1.68049526]\n",
      " [-1.14667416]\n",
      " [-1.49403715]\n",
      " [-1.92955136]\n",
      " [-1.67983985]\n",
      " [-1.83119547]\n",
      " [-2.00640297]\n",
      " [-2.13834548]]\n",
      "868 Cost:  5.07283 \n",
      "Prediction:\n",
      " [[-1.68038583]\n",
      " [-1.14656746]\n",
      " [-1.49394727]\n",
      " [-1.92948055]\n",
      " [-1.679757  ]\n",
      " [-1.83111537]\n",
      " [-2.00634718]\n",
      " [-2.13829064]]\n",
      "869 Cost:  5.07246 \n",
      "Prediction:\n",
      " [[-1.68027639]\n",
      " [-1.14646065]\n",
      " [-1.49385738]\n",
      " [-1.92940974]\n",
      " [-1.67967415]\n",
      " [-1.83103514]\n",
      " [-2.00629139]\n",
      " [-2.13823557]]\n",
      "870 Cost:  5.0721 \n",
      "Prediction:\n",
      " [[-1.68016696]\n",
      " [-1.14635384]\n",
      " [-1.4937675 ]\n",
      " [-1.92933893]\n",
      " [-1.67959118]\n",
      " [-1.83095491]\n",
      " [-2.00623584]\n",
      " [-2.13818073]]\n",
      "871 Cost:  5.07173 \n",
      "Prediction:\n",
      " [[-1.68005741]\n",
      " [-1.14624691]\n",
      " [-1.49367762]\n",
      " [-1.92926812]\n",
      " [-1.67950845]\n",
      " [-1.83087468]\n",
      " [-2.00618005]\n",
      " [-2.1381259 ]]\n",
      "872 Cost:  5.07136 \n",
      "Prediction:\n",
      " [[-1.67994797]\n",
      " [-1.1461401 ]\n",
      " [-1.49358773]\n",
      " [-1.92919731]\n",
      " [-1.6794256 ]\n",
      " [-1.83079457]\n",
      " [-2.00612426]\n",
      " [-2.13807082]]\n",
      "873 Cost:  5.071 \n",
      "Prediction:\n",
      " [[-1.67983854]\n",
      " [-1.14603341]\n",
      " [-1.49349785]\n",
      " [-1.9291265 ]\n",
      " [-1.67934275]\n",
      " [-1.83071423]\n",
      " [-2.00606871]\n",
      " [-2.13801599]]\n",
      "874 Cost:  5.07063 \n",
      "Prediction:\n",
      " [[-1.6797291 ]\n",
      " [-1.14592648]\n",
      " [-1.49340796]\n",
      " [-1.92905569]\n",
      " [-1.67925978]\n",
      " [-1.83063412]\n",
      " [-2.00601292]\n",
      " [-2.13796091]]\n",
      "875 Cost:  5.07026 \n",
      "Prediction:\n",
      " [[-1.67961967]\n",
      " [-1.14581978]\n",
      " [-1.49331808]\n",
      " [-1.92898488]\n",
      " [-1.67917705]\n",
      " [-1.83055389]\n",
      " [-2.00595713]\n",
      " [-2.13790607]]\n",
      "876 Cost:  5.0699 \n",
      "Prediction:\n",
      " [[-1.67951024]\n",
      " [-1.14571297]\n",
      " [-1.4932282 ]\n",
      " [-1.92891419]\n",
      " [-1.67909408]\n",
      " [-1.83047366]\n",
      " [-2.00590134]\n",
      " [-2.137851  ]]\n",
      "877 Cost:  5.06953 \n",
      "Prediction:\n",
      " [[-1.6794008 ]\n",
      " [-1.14560628]\n",
      " [-1.49313831]\n",
      " [-1.92884338]\n",
      " [-1.67901134]\n",
      " [-1.83039355]\n",
      " [-2.00584555]\n",
      " [-2.13779616]]\n",
      "878 Cost:  5.06916 \n",
      "Prediction:\n",
      " [[-1.67929137]\n",
      " [-1.14549947]\n",
      " [-1.49304843]\n",
      " [-1.92877257]\n",
      " [-1.67892849]\n",
      " [-1.83031332]\n",
      " [-2.00579   ]\n",
      " [-2.13774133]]\n",
      "879 Cost:  5.0688 \n",
      "Prediction:\n",
      " [[-1.67918193]\n",
      " [-1.14539266]\n",
      " [-1.49295855]\n",
      " [-1.92870188]\n",
      " [-1.67884564]\n",
      " [-1.8302331 ]\n",
      " [-2.00573421]\n",
      " [-2.13768625]]\n",
      "880 Cost:  5.06843 \n",
      "Prediction:\n",
      " [[-1.6790725 ]\n",
      " [-1.14528584]\n",
      " [-1.49286866]\n",
      " [-1.92863107]\n",
      " [-1.67876279]\n",
      " [-1.83015299]\n",
      " [-2.00567842]\n",
      " [-2.13763142]]\n",
      "881 Cost:  5.06806 \n",
      "Prediction:\n",
      " [[-1.67896307]\n",
      " [-1.14517903]\n",
      " [-1.49277878]\n",
      " [-1.92856026]\n",
      " [-1.67867994]\n",
      " [-1.83007276]\n",
      " [-2.00562286]\n",
      " [-2.13757634]]\n",
      "882 Cost:  5.0677 \n",
      "Prediction:\n",
      " [[-1.67885363]\n",
      " [-1.14507222]\n",
      " [-1.49268889]\n",
      " [-1.92848945]\n",
      " [-1.67859709]\n",
      " [-1.82999253]\n",
      " [-2.00556707]\n",
      " [-2.13752151]]\n",
      "883 Cost:  5.06733 \n",
      "Prediction:\n",
      " [[-1.6787442 ]\n",
      " [-1.14496553]\n",
      " [-1.49259901]\n",
      " [-1.92841864]\n",
      " [-1.67851424]\n",
      " [-1.82991242]\n",
      " [-2.00551128]\n",
      " [-2.13746643]]\n",
      "884 Cost:  5.06696 \n",
      "Prediction:\n",
      " [[-1.67863476]\n",
      " [-1.1448586 ]\n",
      " [-1.49250913]\n",
      " [-1.92834783]\n",
      " [-1.67843151]\n",
      " [-1.8298322 ]\n",
      " [-2.00545549]\n",
      " [-2.13741159]]\n",
      "885 Cost:  5.0666 \n",
      "Prediction:\n",
      " [[-1.67852545]\n",
      " [-1.14475203]\n",
      " [-1.49241924]\n",
      " [-1.92827713]\n",
      " [-1.67834854]\n",
      " [-1.82975197]\n",
      " [-2.0053997 ]\n",
      " [-2.13735676]]\n",
      "886 Cost:  5.06623 \n",
      "Prediction:\n",
      " [[-1.67841601]\n",
      " [-1.14464533]\n",
      " [-1.49232948]\n",
      " [-1.92820621]\n",
      " [-1.67826581]\n",
      " [-1.82967186]\n",
      " [-2.00534415]\n",
      " [-2.13730168]]\n",
      "887 Cost:  5.06586 \n",
      "Prediction:\n",
      " [[-1.6783067 ]\n",
      " [-1.14453864]\n",
      " [-1.49223959]\n",
      " [-1.92813551]\n",
      " [-1.67818296]\n",
      " [-1.82959175]\n",
      " [-2.00528836]\n",
      " [-2.13724685]]\n",
      "888 Cost:  5.0655 \n",
      "Prediction:\n",
      " [[-1.67819726]\n",
      " [-1.14443183]\n",
      " [-1.49214983]\n",
      " [-1.9280647 ]\n",
      " [-1.67810011]\n",
      " [-1.82951152]\n",
      " [-2.00523257]\n",
      " [-2.13719177]]\n",
      "889 Cost:  5.06513 \n",
      "Prediction:\n",
      " [[-1.67808795]\n",
      " [-1.14432502]\n",
      " [-1.49205983]\n",
      " [-1.92799401]\n",
      " [-1.67801738]\n",
      " [-1.82943141]\n",
      " [-2.00517702]\n",
      " [-2.13713694]]\n",
      "890 Cost:  5.06477 \n",
      "Prediction:\n",
      " [[-1.67797852]\n",
      " [-1.14421833]\n",
      " [-1.49197006]\n",
      " [-1.9279232 ]\n",
      " [-1.67793453]\n",
      " [-1.82935119]\n",
      " [-2.00512123]\n",
      " [-2.1370821 ]]\n",
      "891 Cost:  5.0644 \n",
      "Prediction:\n",
      " [[-1.6778692 ]\n",
      " [-1.14411151]\n",
      " [-1.49188018]\n",
      " [-1.92785239]\n",
      " [-1.67785168]\n",
      " [-1.82927108]\n",
      " [-2.00506544]\n",
      " [-2.13702703]]\n",
      "892 Cost:  5.06403 \n",
      "Prediction:\n",
      " [[-1.67775977]\n",
      " [-1.14400482]\n",
      " [-1.49179029]\n",
      " [-1.92778158]\n",
      " [-1.67776895]\n",
      " [-1.82919085]\n",
      " [-2.00500965]\n",
      " [-2.13697219]]\n",
      "893 Cost:  5.06367 \n",
      "Prediction:\n",
      " [[-1.67765045]\n",
      " [-1.14389801]\n",
      " [-1.49170041]\n",
      " [-1.92771077]\n",
      " [-1.67768598]\n",
      " [-1.82911074]\n",
      " [-2.0049541 ]\n",
      " [-2.13691711]]\n",
      "894 Cost:  5.0633 \n",
      "Prediction:\n",
      " [[-1.67754102]\n",
      " [-1.1437912 ]\n",
      " [-1.49161077]\n",
      " [-1.92764008]\n",
      " [-1.67760324]\n",
      " [-1.82903051]\n",
      " [-2.00489831]\n",
      " [-2.13686228]]\n",
      "895 Cost:  5.06293 \n",
      "Prediction:\n",
      " [[-1.6774317 ]\n",
      " [-1.14368463]\n",
      " [-1.49152088]\n",
      " [-1.92756939]\n",
      " [-1.67752051]\n",
      " [-1.82895041]\n",
      " [-2.00484252]\n",
      " [-2.13680744]]\n",
      "896 Cost:  5.06257 \n",
      "Prediction:\n",
      " [[-1.67732239]\n",
      " [-1.14357781]\n",
      " [-1.49143088]\n",
      " [-1.92749858]\n",
      " [-1.67743754]\n",
      " [-1.82887018]\n",
      " [-2.00478697]\n",
      " [-2.13675237]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "897 Cost:  5.0622 \n",
      "Prediction:\n",
      " [[-1.67721295]\n",
      " [-1.14347124]\n",
      " [-1.49134111]\n",
      " [-1.92742777]\n",
      " [-1.67735481]\n",
      " [-1.82879007]\n",
      " [-2.00473118]\n",
      " [-2.13669753]]\n",
      "898 Cost:  5.06184 \n",
      "Prediction:\n",
      " [[-1.67710364]\n",
      " [-1.14336443]\n",
      " [-1.49125123]\n",
      " [-1.92735696]\n",
      " [-1.67727208]\n",
      " [-1.82870984]\n",
      " [-2.00467539]\n",
      " [-2.13664246]]\n",
      "899 Cost:  5.06147 \n",
      "Prediction:\n",
      " [[-1.67699432]\n",
      " [-1.14325762]\n",
      " [-1.49116147]\n",
      " [-1.92728627]\n",
      " [-1.67718923]\n",
      " [-1.82862973]\n",
      " [-2.0046196 ]\n",
      " [-2.13658762]]\n",
      "900 Cost:  5.0611 \n",
      "Prediction:\n",
      " [[-1.67688489]\n",
      " [-1.14315093]\n",
      " [-1.49107158]\n",
      " [-1.92721546]\n",
      " [-1.67710638]\n",
      " [-1.82854962]\n",
      " [-2.00456381]\n",
      " [-2.13653278]]\n",
      "901 Cost:  5.06074 \n",
      "Prediction:\n",
      " [[-1.67677557]\n",
      " [-1.14304411]\n",
      " [-1.49098182]\n",
      " [-1.92714477]\n",
      " [-1.67702365]\n",
      " [-1.8284694 ]\n",
      " [-2.00450826]\n",
      " [-2.13647771]]\n",
      "902 Cost:  5.06037 \n",
      "Prediction:\n",
      " [[-1.67666626]\n",
      " [-1.14293742]\n",
      " [-1.49089193]\n",
      " [-1.92707396]\n",
      " [-1.67694068]\n",
      " [-1.82838929]\n",
      " [-2.00445247]\n",
      " [-2.13642287]]\n",
      "903 Cost:  5.06001 \n",
      "Prediction:\n",
      " [[-1.67655683]\n",
      " [-1.14283073]\n",
      " [-1.49080205]\n",
      " [-1.92700315]\n",
      " [-1.67685795]\n",
      " [-1.82830906]\n",
      " [-2.00439668]\n",
      " [-2.1363678 ]]\n",
      "904 Cost:  5.05964 \n",
      "Prediction:\n",
      " [[-1.67644763]\n",
      " [-1.14272404]\n",
      " [-1.49071229]\n",
      " [-1.92693245]\n",
      " [-1.67677522]\n",
      " [-1.82822895]\n",
      " [-2.00434113]\n",
      " [-2.13631296]]\n",
      "905 Cost:  5.05927 \n",
      "Prediction:\n",
      " [[-1.67633843]\n",
      " [-1.14261746]\n",
      " [-1.49062252]\n",
      " [-1.92686176]\n",
      " [-1.67669249]\n",
      " [-1.82814884]\n",
      " [-2.00428534]\n",
      " [-2.13625813]]\n",
      "906 Cost:  5.05891 \n",
      "Prediction:\n",
      " [[-1.67622912]\n",
      " [-1.14251065]\n",
      " [-1.49053276]\n",
      " [-1.92679107]\n",
      " [-1.67660975]\n",
      " [-1.82806873]\n",
      " [-2.00422955]\n",
      " [-2.13620305]]\n",
      "907 Cost:  5.05854 \n",
      "Prediction:\n",
      " [[-1.6761198 ]\n",
      " [-1.14240408]\n",
      " [-1.49044299]\n",
      " [-1.92672038]\n",
      " [-1.67652702]\n",
      " [-1.82798862]\n",
      " [-2.00417399]\n",
      " [-2.13614821]]\n",
      "908 Cost:  5.05818 \n",
      "Prediction:\n",
      " [[-1.67601061]\n",
      " [-1.14229751]\n",
      " [-1.49035323]\n",
      " [-1.92664957]\n",
      " [-1.67644429]\n",
      " [-1.82790864]\n",
      " [-2.0041182 ]\n",
      " [-2.13609314]]\n",
      "909 Cost:  5.05781 \n",
      "Prediction:\n",
      " [[-1.67590141]\n",
      " [-1.14219069]\n",
      " [-1.49026346]\n",
      " [-1.92657888]\n",
      " [-1.67636156]\n",
      " [-1.82782841]\n",
      " [-2.00406265]\n",
      " [-2.1360383 ]]\n",
      "910 Cost:  5.05745 \n",
      "Prediction:\n",
      " [[-1.67579222]\n",
      " [-1.14208412]\n",
      " [-1.49017358]\n",
      " [-1.92650819]\n",
      " [-1.67627883]\n",
      " [-1.8277483 ]\n",
      " [-2.00400686]\n",
      " [-2.13598347]]\n",
      "911 Cost:  5.05708 \n",
      "Prediction:\n",
      " [[-1.67568302]\n",
      " [-1.14197755]\n",
      " [-1.49008393]\n",
      " [-1.9264375 ]\n",
      " [-1.6761961 ]\n",
      " [-1.82766819]\n",
      " [-2.00395107]\n",
      " [-2.13592839]]\n",
      "912 Cost:  5.05671 \n",
      "Prediction:\n",
      " [[-1.67557371]\n",
      " [-1.14187098]\n",
      " [-1.48999405]\n",
      " [-1.92636669]\n",
      " [-1.67611337]\n",
      " [-1.8275882 ]\n",
      " [-2.00389552]\n",
      " [-2.13587356]]\n",
      "913 Cost:  5.05635 \n",
      "Prediction:\n",
      " [[-1.67546451]\n",
      " [-1.14176416]\n",
      " [-1.4899044 ]\n",
      " [-1.926296  ]\n",
      " [-1.67603064]\n",
      " [-1.82750809]\n",
      " [-2.00383973]\n",
      " [-2.13581848]]\n",
      "914 Cost:  5.05598 \n",
      "Prediction:\n",
      " [[-1.6753552 ]\n",
      " [-1.14165759]\n",
      " [-1.48981452]\n",
      " [-1.9262253 ]\n",
      " [-1.6759479 ]\n",
      " [-1.82742798]\n",
      " [-2.00378418]\n",
      " [-2.13576365]]\n",
      "915 Cost:  5.05562 \n",
      "Prediction:\n",
      " [[-1.675246  ]\n",
      " [-1.1415509 ]\n",
      " [-1.48972487]\n",
      " [-1.92615461]\n",
      " [-1.67586517]\n",
      " [-1.82734799]\n",
      " [-2.00372839]\n",
      " [-2.13570881]]\n",
      "916 Cost:  5.05525 \n",
      "Prediction:\n",
      " [[-1.6751368 ]\n",
      " [-1.14144421]\n",
      " [-1.48963499]\n",
      " [-1.9260838 ]\n",
      " [-1.67578244]\n",
      " [-1.82726777]\n",
      " [-2.0036726 ]\n",
      " [-2.13565373]]\n",
      "917 Cost:  5.05489 \n",
      "Prediction:\n",
      " [[-1.67502761]\n",
      " [-1.14133763]\n",
      " [-1.48954535]\n",
      " [-1.92601323]\n",
      " [-1.67569971]\n",
      " [-1.82718778]\n",
      " [-2.00361681]\n",
      " [-2.1355989 ]]\n",
      "918 Cost:  5.05452 \n",
      "Prediction:\n",
      " [[-1.67491841]\n",
      " [-1.14123106]\n",
      " [-1.48945546]\n",
      " [-1.92594242]\n",
      " [-1.67561698]\n",
      " [-1.82710755]\n",
      " [-2.00356126]\n",
      " [-2.13554382]]\n",
      "919 Cost:  5.05415 \n",
      "Prediction:\n",
      " [[-1.67480922]\n",
      " [-1.14112449]\n",
      " [-1.48936582]\n",
      " [-1.92587185]\n",
      " [-1.67553425]\n",
      " [-1.82702756]\n",
      " [-2.00350547]\n",
      " [-2.13548899]]\n",
      "920 Cost:  5.05379 \n",
      "Prediction:\n",
      " [[-1.6746999 ]\n",
      " [-1.14101779]\n",
      " [-1.48927593]\n",
      " [-1.92580104]\n",
      " [-1.67545152]\n",
      " [-1.82694745]\n",
      " [-2.00344992]\n",
      " [-2.13543415]]\n",
      "921 Cost:  5.05342 \n",
      "Prediction:\n",
      " [[-1.67459071]\n",
      " [-1.1409111 ]\n",
      " [-1.48918629]\n",
      " [-1.92573035]\n",
      " [-1.67536879]\n",
      " [-1.82686734]\n",
      " [-2.00339413]\n",
      " [-2.13537908]]\n",
      "922 Cost:  5.05306 \n",
      "Prediction:\n",
      " [[-1.67448139]\n",
      " [-1.14080453]\n",
      " [-1.4890964 ]\n",
      " [-1.92565966]\n",
      " [-1.67528605]\n",
      " [-1.82678723]\n",
      " [-2.00333834]\n",
      " [-2.13532424]]\n",
      "923 Cost:  5.05269 \n",
      "Prediction:\n",
      " [[-1.6743722 ]\n",
      " [-1.14069772]\n",
      " [-1.48900676]\n",
      " [-1.92558885]\n",
      " [-1.67520332]\n",
      " [-1.82670712]\n",
      " [-2.00328279]\n",
      " [-2.13526917]]\n",
      "924 Cost:  5.05233 \n",
      "Prediction:\n",
      " [[-1.674263  ]\n",
      " [-1.14059114]\n",
      " [-1.48891687]\n",
      " [-1.92551827]\n",
      " [-1.67512059]\n",
      " [-1.82662702]\n",
      " [-2.003227  ]\n",
      " [-2.13521433]]\n",
      "925 Cost:  5.05196 \n",
      "Prediction:\n",
      " [[-1.6741538 ]\n",
      " [-1.14048457]\n",
      " [-1.48882711]\n",
      " [-1.92544746]\n",
      " [-1.67503786]\n",
      " [-1.82654691]\n",
      " [-2.00317144]\n",
      " [-2.13515949]]\n",
      "926 Cost:  5.0516 \n",
      "Prediction:\n",
      " [[-1.67404461]\n",
      " [-1.140378  ]\n",
      " [-1.48873734]\n",
      " [-1.92537677]\n",
      " [-1.67495513]\n",
      " [-1.8264668 ]\n",
      " [-2.00311565]\n",
      " [-2.13510442]]\n",
      "927 Cost:  5.05123 \n",
      "Prediction:\n",
      " [[-1.67393541]\n",
      " [-1.14027119]\n",
      " [-1.4886477 ]\n",
      " [-1.92530608]\n",
      " [-1.6748724 ]\n",
      " [-1.82638669]\n",
      " [-2.00305986]\n",
      " [-2.13504958]]\n",
      "928 Cost:  5.05087 \n",
      "Prediction:\n",
      " [[-1.67382622]\n",
      " [-1.14016461]\n",
      " [-1.48855782]\n",
      " [-1.92523539]\n",
      " [-1.67478967]\n",
      " [-1.82630658]\n",
      " [-2.00300431]\n",
      " [-2.13499451]]\n",
      "929 Cost:  5.0505 \n",
      "Prediction:\n",
      " [[-1.6737169 ]\n",
      " [-1.14005804]\n",
      " [-1.48846817]\n",
      " [-1.9251647 ]\n",
      " [-1.67470694]\n",
      " [-1.82622659]\n",
      " [-2.00294852]\n",
      " [-2.13493967]]\n",
      "930 Cost:  5.05013 \n",
      "Prediction:\n",
      " [[-1.67360771]\n",
      " [-1.13995147]\n",
      " [-1.48837829]\n",
      " [-1.92509389]\n",
      " [-1.6746242 ]\n",
      " [-1.82614648]\n",
      " [-2.00289297]\n",
      " [-2.13488483]]\n",
      "931 Cost:  5.04977 \n",
      "Prediction:\n",
      " [[-1.67349851]\n",
      " [-1.13984478]\n",
      " [-1.48828864]\n",
      " [-1.92502332]\n",
      " [-1.67454147]\n",
      " [-1.82606637]\n",
      " [-2.00283718]\n",
      " [-2.13482976]]\n",
      "932 Cost:  5.0494 \n",
      "Prediction:\n",
      " [[-1.67338932]\n",
      " [-1.1397382 ]\n",
      " [-1.48819876]\n",
      " [-1.92495251]\n",
      " [-1.67445874]\n",
      " [-1.82598627]\n",
      " [-2.00278139]\n",
      " [-2.13477492]]\n",
      "933 Cost:  5.04904 \n",
      "Prediction:\n",
      " [[-1.67328012]\n",
      " [-1.13963151]\n",
      " [-1.48810911]\n",
      " [-1.92488194]\n",
      " [-1.67437601]\n",
      " [-1.82590628]\n",
      " [-2.00272584]\n",
      " [-2.13471985]]\n",
      "934 Cost:  5.04867 \n",
      "Prediction:\n",
      " [[-1.6731708 ]\n",
      " [-1.13952482]\n",
      " [-1.48801935]\n",
      " [-1.92481112]\n",
      " [-1.67429328]\n",
      " [-1.82582617]\n",
      " [-2.00267005]\n",
      " [-2.13466501]]\n",
      "935 Cost:  5.04831 \n",
      "Prediction:\n",
      " [[-1.67306161]\n",
      " [-1.13941824]\n",
      " [-1.48792958]\n",
      " [-1.92474043]\n",
      " [-1.67421055]\n",
      " [-1.82574606]\n",
      " [-2.0026145 ]\n",
      " [-2.13461018]]\n",
      "936 Cost:  5.04794 \n",
      "Prediction:\n",
      " [[-1.67295241]\n",
      " [-1.13931167]\n",
      " [-1.48783994]\n",
      " [-1.92466974]\n",
      " [-1.67412782]\n",
      " [-1.82566595]\n",
      " [-2.00255871]\n",
      " [-2.1345551 ]]\n",
      "937 Cost:  5.04758 \n",
      "Prediction:\n",
      " [[-1.67284322]\n",
      " [-1.13920498]\n",
      " [-1.48775005]\n",
      " [-1.92459905]\n",
      " [-1.67404509]\n",
      " [-1.82558584]\n",
      " [-2.00250292]\n",
      " [-2.13450027]]\n",
      "938 Cost:  5.04721 \n",
      "Prediction:\n",
      " [[-1.67273402]\n",
      " [-1.13909841]\n",
      " [-1.48766029]\n",
      " [-1.92452836]\n",
      " [-1.67396235]\n",
      " [-1.82550573]\n",
      " [-2.00244737]\n",
      " [-2.13444519]]\n",
      "939 Cost:  5.04685 \n",
      "Prediction:\n",
      " [[-1.67262483]\n",
      " [-1.13899171]\n",
      " [-1.48757052]\n",
      " [-1.92445767]\n",
      " [-1.67387962]\n",
      " [-1.82542562]\n",
      " [-2.00239158]\n",
      " [-2.13439035]]\n",
      "940 Cost:  5.04648 \n",
      "Prediction:\n",
      " [[-1.67251563]\n",
      " [-1.13888502]\n",
      " [-1.48748076]\n",
      " [-1.92438686]\n",
      " [-1.67379689]\n",
      " [-1.82534564]\n",
      " [-2.00233603]\n",
      " [-2.13433552]]\n",
      "941 Cost:  5.04612 \n",
      "Prediction:\n",
      " [[-1.67240644]\n",
      " [-1.13877845]\n",
      " [-1.487391  ]\n",
      " [-1.92431617]\n",
      " [-1.67371416]\n",
      " [-1.82526553]\n",
      " [-2.00228024]\n",
      " [-2.13428044]]\n",
      "942 Cost:  5.04575 \n",
      "Prediction:\n",
      " [[-1.67229724]\n",
      " [-1.13867188]\n",
      " [-1.48730135]\n",
      " [-1.9242456 ]\n",
      " [-1.67363155]\n",
      " [-1.82518542]\n",
      " [-2.00222445]\n",
      " [-2.13422561]]\n",
      "943 Cost:  5.04539 \n",
      "Prediction:\n",
      " [[-1.67218804]\n",
      " [-1.1385653 ]\n",
      " [-1.48721147]\n",
      " [-1.92417479]\n",
      " [-1.6735487 ]\n",
      " [-1.82510543]\n",
      " [-2.00216889]\n",
      " [-2.13417053]]\n",
      "944 Cost:  5.04502 \n",
      "Prediction:\n",
      " [[-1.67207885]\n",
      " [-1.13845873]\n",
      " [-1.48712182]\n",
      " [-1.92410421]\n",
      " [-1.67346597]\n",
      " [-1.82502532]\n",
      " [-2.0021131 ]\n",
      " [-2.1341157 ]]\n",
      "945 Cost:  5.04466 \n",
      "Prediction:\n",
      " [[-1.67196965]\n",
      " [-1.13835192]\n",
      " [-1.48703206]\n",
      " [-1.9240334 ]\n",
      " [-1.67338336]\n",
      " [-1.82494521]\n",
      " [-2.00205755]\n",
      " [-2.13406086]]\n",
      "946 Cost:  5.04429 \n",
      "Prediction:\n",
      " [[-1.67186046]\n",
      " [-1.13824534]\n",
      " [-1.48694229]\n",
      " [-1.92396271]\n",
      " [-1.67330062]\n",
      " [-1.8248651 ]\n",
      " [-2.00200176]\n",
      " [-2.13400578]]\n",
      "947 Cost:  5.04393 \n",
      "Prediction:\n",
      " [[-1.67175126]\n",
      " [-1.13813877]\n",
      " [-1.48685265]\n",
      " [-1.92389202]\n",
      " [-1.67321801]\n",
      " [-1.82478499]\n",
      " [-2.00194597]\n",
      " [-2.13395095]]\n",
      "948 Cost:  5.04356 \n",
      "Prediction:\n",
      " [[-1.67164207]\n",
      " [-1.1380322 ]\n",
      " [-1.48676276]\n",
      " [-1.92382133]\n",
      " [-1.67313528]\n",
      " [-1.82470489]\n",
      " [-2.00189018]\n",
      " [-2.13389587]]\n",
      "949 Cost:  5.04319 \n",
      "Prediction:\n",
      " [[-1.67153287]\n",
      " [-1.13792562]\n",
      " [-1.48667312]\n",
      " [-1.92375064]\n",
      " [-1.67305231]\n",
      " [-1.82462478]\n",
      " [-2.00183463]\n",
      " [-2.13384104]]\n",
      "950 Cost:  5.04283 \n",
      "Prediction:\n",
      " [[-1.67142367]\n",
      " [-1.13781905]\n",
      " [-1.48658323]\n",
      " [-1.92367995]\n",
      " [-1.6729697 ]\n",
      " [-1.82454479]\n",
      " [-2.00177884]\n",
      " [-2.1337862 ]]\n",
      "951 Cost:  5.04246 \n",
      "Prediction:\n",
      " [[-1.67131448]\n",
      " [-1.13771224]\n",
      " [-1.48649359]\n",
      " [-1.92360914]\n",
      " [-1.67288709]\n",
      " [-1.82446468]\n",
      " [-2.00172329]\n",
      " [-2.13373113]]\n",
      "952 Cost:  5.0421 \n",
      "Prediction:\n",
      " [[-1.67120528]\n",
      " [-1.13760567]\n",
      " [-1.48640382]\n",
      " [-1.92353845]\n",
      " [-1.67280436]\n",
      " [-1.82438457]\n",
      " [-2.0016675 ]\n",
      " [-2.13367629]]\n",
      "953 Cost:  5.04173 \n",
      "Prediction:\n",
      " [[-1.67109609]\n",
      " [-1.13749909]\n",
      " [-1.48631406]\n",
      " [-1.92346787]\n",
      " [-1.67272162]\n",
      " [-1.82430458]\n",
      " [-2.00161171]\n",
      " [-2.13362122]]\n",
      "954 Cost:  5.04137 \n",
      "Prediction:\n",
      " [[-1.67098689]\n",
      " [-1.13739252]\n",
      " [-1.48622429]\n",
      " [-1.92339706]\n",
      " [-1.67263889]\n",
      " [-1.82422447]\n",
      " [-2.00155616]\n",
      " [-2.13356638]]\n",
      "955 Cost:  5.041 \n",
      "Prediction:\n",
      " [[-1.6708777 ]\n",
      " [-1.13728583]\n",
      " [-1.48613453]\n",
      " [-1.92332649]\n",
      " [-1.67255616]\n",
      " [-1.82414436]\n",
      " [-2.00150037]\n",
      " [-2.13351154]]\n",
      "956 Cost:  5.04064 \n",
      "Prediction:\n",
      " [[-1.6707685 ]\n",
      " [-1.13717926]\n",
      " [-1.48604488]\n",
      " [-1.92325568]\n",
      " [-1.67247343]\n",
      " [-1.82406425]\n",
      " [-2.00144482]\n",
      " [-2.13345647]]\n",
      "957 Cost:  5.04027 \n",
      "Prediction:\n",
      " [[-1.6706593 ]\n",
      " [-1.13707256]\n",
      " [-1.48595512]\n",
      " [-1.92318499]\n",
      " [-1.6723907 ]\n",
      " [-1.82398427]\n",
      " [-2.00138903]\n",
      " [-2.13340163]]\n",
      "958 Cost:  5.03991 \n",
      "Prediction:\n",
      " [[-1.67055011]\n",
      " [-1.13696611]\n",
      " [-1.48586535]\n",
      " [-1.9231143 ]\n",
      " [-1.67230809]\n",
      " [-1.82390428]\n",
      " [-2.00133348]\n",
      " [-2.1333468 ]]\n",
      "959 Cost:  5.03955 \n",
      "Prediction:\n",
      " [[-1.67044103]\n",
      " [-1.13685966]\n",
      " [-1.48577571]\n",
      " [-1.92304373]\n",
      " [-1.67222548]\n",
      " [-1.82382417]\n",
      " [-2.00127769]\n",
      " [-2.13329172]]\n",
      "960 Cost:  5.03918 \n",
      "Prediction:\n",
      " [[-1.67033195]\n",
      " [-1.13675308]\n",
      " [-1.48568606]\n",
      " [-1.92297304]\n",
      " [-1.67214262]\n",
      " [-1.82374418]\n",
      " [-2.00122213]\n",
      " [-2.13323689]]\n",
      "961 Cost:  5.03882 \n",
      "Prediction:\n",
      " [[-1.67022276]\n",
      " [-1.13664675]\n",
      " [-1.48559642]\n",
      " [-1.92290235]\n",
      " [-1.67206001]\n",
      " [-1.82366407]\n",
      " [-2.00116634]\n",
      " [-2.13318205]]\n",
      "962 Cost:  5.03845 \n",
      "Prediction:\n",
      " [[-1.67011356]\n",
      " [-1.13654017]\n",
      " [-1.48550665]\n",
      " [-1.92283177]\n",
      " [-1.6719774 ]\n",
      " [-1.82358408]\n",
      " [-2.00111055]\n",
      " [-2.13312721]]\n",
      "963 Cost:  5.03809 \n",
      "Prediction:\n",
      " [[-1.67000449]\n",
      " [-1.1364336 ]\n",
      " [-1.48541701]\n",
      " [-1.92276096]\n",
      " [-1.67189467]\n",
      " [-1.82350397]\n",
      " [-2.001055  ]\n",
      " [-2.13307238]]\n",
      "964 Cost:  5.03772 \n",
      "Prediction:\n",
      " [[-1.66989541]\n",
      " [-1.13632703]\n",
      " [-1.48532724]\n",
      " [-1.92269039]\n",
      " [-1.67181206]\n",
      " [-1.8234241 ]\n",
      " [-2.00099921]\n",
      " [-2.1330173 ]]\n",
      "965 Cost:  5.03736 \n",
      "Prediction:\n",
      " [[-1.66978621]\n",
      " [-1.13622069]\n",
      " [-1.48523772]\n",
      " [-1.92261958]\n",
      " [-1.67172945]\n",
      " [-1.82334399]\n",
      " [-2.00094366]\n",
      " [-2.13296247]]\n",
      "966 Cost:  5.03699 \n",
      "Prediction:\n",
      " [[-1.66967714]\n",
      " [-1.13611412]\n",
      " [-1.48514795]\n",
      " [-1.92254901]\n",
      " [-1.67164671]\n",
      " [-1.82326388]\n",
      " [-2.00088787]\n",
      " [-2.13290763]]\n",
      "967 Cost:  5.03663 \n",
      "Prediction:\n",
      " [[-1.66956806]\n",
      " [-1.13600755]\n",
      " [-1.48505831]\n",
      " [-1.92247844]\n",
      " [-1.6715641 ]\n",
      " [-1.82318401]\n",
      " [-2.00083232]\n",
      " [-2.13285279]]\n",
      "968 Cost:  5.03626 \n",
      "Prediction:\n",
      " [[-1.66945887]\n",
      " [-1.13590097]\n",
      " [-1.48496866]\n",
      " [-1.92240763]\n",
      " [-1.67148137]\n",
      " [-1.8231039 ]\n",
      " [-2.00077653]\n",
      " [-2.13279772]]\n",
      "969 Cost:  5.0359 \n",
      "Prediction:\n",
      " [[-1.66934979]\n",
      " [-1.13579452]\n",
      " [-1.48487902]\n",
      " [-1.92233694]\n",
      " [-1.67139864]\n",
      " [-1.8230238 ]\n",
      " [-2.00072098]\n",
      " [-2.13274288]]\n",
      "970 Cost:  5.03553 \n",
      "Prediction:\n",
      " [[-1.66924071]\n",
      " [-1.13568807]\n",
      " [-1.48478937]\n",
      " [-1.92226624]\n",
      " [-1.67131615]\n",
      " [-1.82294381]\n",
      " [-2.00066519]\n",
      " [-2.13268805]]\n",
      "971 Cost:  5.03517 \n",
      "Prediction:\n",
      " [[-1.66913176]\n",
      " [-1.13558173]\n",
      " [-1.48469996]\n",
      " [-1.92219591]\n",
      " [-1.67123365]\n",
      " [-1.82286406]\n",
      " [-2.00060987]\n",
      " [-2.13263321]]\n",
      "972 Cost:  5.03481 \n",
      "Prediction:\n",
      " [[-1.66902292]\n",
      " [-1.13547552]\n",
      " [-1.48461044]\n",
      " [-1.92212546]\n",
      " [-1.67115116]\n",
      " [-1.82278419]\n",
      " [-2.00055432]\n",
      " [-2.13257861]]\n",
      "973 Cost:  5.03444 \n",
      "Prediction:\n",
      " [[-1.66891408]\n",
      " [-1.1353693 ]\n",
      " [-1.48452103]\n",
      " [-1.92205501]\n",
      " [-1.67106867]\n",
      " [-1.82270443]\n",
      " [-2.00049877]\n",
      " [-2.13252401]]\n",
      "974 Cost:  5.03408 \n",
      "Prediction:\n",
      " [[-1.66880512]\n",
      " [-1.13526297]\n",
      " [-1.48443151]\n",
      " [-1.92198467]\n",
      " [-1.67098641]\n",
      " [-1.82262468]\n",
      " [-2.00044346]\n",
      " [-2.13246942]]\n",
      "975 Cost:  5.03372 \n",
      "Prediction:\n",
      " [[-1.66869628]\n",
      " [-1.13515663]\n",
      " [-1.4843421 ]\n",
      " [-1.9219141 ]\n",
      " [-1.67090392]\n",
      " [-1.82254481]\n",
      " [-2.00038791]\n",
      " [-2.13241482]]\n",
      "976 Cost:  5.03335 \n",
      "Prediction:\n",
      " [[-1.66858745]\n",
      " [-1.13505042]\n",
      " [-1.48425269]\n",
      " [-1.92184377]\n",
      " [-1.67082143]\n",
      " [-1.82246506]\n",
      " [-2.00033259]\n",
      " [-2.13235998]]\n",
      "977 Cost:  5.03299 \n",
      "Prediction:\n",
      " [[-1.66847849]\n",
      " [-1.1349442 ]\n",
      " [-1.48416328]\n",
      " [-1.9217732 ]\n",
      " [-1.67073917]\n",
      " [-1.82238531]\n",
      " [-2.00027704]\n",
      " [-2.13230538]]\n",
      "978 Cost:  5.03263 \n",
      "Prediction:\n",
      " [[-1.66836953]\n",
      " [-1.13483787]\n",
      " [-1.48407376]\n",
      " [-1.92170286]\n",
      " [-1.67065668]\n",
      " [-1.82230556]\n",
      " [-2.00022173]\n",
      " [-2.13225079]]\n",
      "979 Cost:  5.03226 \n",
      "Prediction:\n",
      " [[-1.66826081]\n",
      " [-1.13473177]\n",
      " [-1.48398423]\n",
      " [-1.92163241]\n",
      " [-1.67057419]\n",
      " [-1.82222569]\n",
      " [-2.00016618]\n",
      " [-2.13219595]]\n",
      "980 Cost:  5.0319 \n",
      "Prediction:\n",
      " [[-1.66815186]\n",
      " [-1.13462543]\n",
      " [-1.48389494]\n",
      " [-1.92156196]\n",
      " [-1.67049181]\n",
      " [-1.82214594]\n",
      " [-2.00011063]\n",
      " [-2.13214135]]\n",
      "981 Cost:  5.03154 \n",
      "Prediction:\n",
      " [[-1.66804302]\n",
      " [-1.1345191 ]\n",
      " [-1.48380542]\n",
      " [-1.92149162]\n",
      " [-1.67040944]\n",
      " [-1.82206619]\n",
      " [-2.00005531]\n",
      " [-2.13208675]]\n",
      "982 Cost:  5.03117 \n",
      "Prediction:\n",
      " [[-1.66793418]\n",
      " [-1.13441288]\n",
      " [-1.48371601]\n",
      " [-1.92142117]\n",
      " [-1.67032695]\n",
      " [-1.82198644]\n",
      " [-1.99999988]\n",
      " [-2.13203216]]\n",
      "983 Cost:  5.03081 \n",
      "Prediction:\n",
      " [[-1.66782522]\n",
      " [-1.13430667]\n",
      " [-1.4836266 ]\n",
      " [-1.92135072]\n",
      " [-1.67024457]\n",
      " [-1.82190657]\n",
      " [-1.99994445]\n",
      " [-2.13197756]]\n",
      "984 Cost:  5.03045 \n",
      "Prediction:\n",
      " [[-1.66771638]\n",
      " [-1.13420033]\n",
      " [-1.4835372 ]\n",
      " [-1.92128038]\n",
      " [-1.67016208]\n",
      " [-1.82182682]\n",
      " [-1.99988902]\n",
      " [-2.13192272]]\n",
      "985 Cost:  5.03008 \n",
      "Prediction:\n",
      " [[-1.66760755]\n",
      " [-1.13409412]\n",
      " [-1.48344779]\n",
      " [-1.92120981]\n",
      " [-1.67007971]\n",
      " [-1.82174706]\n",
      " [-1.99983358]\n",
      " [-2.13186812]]\n",
      "986 Cost:  5.02972 \n",
      "Prediction:\n",
      " [[-1.66749859]\n",
      " [-1.13398778]\n",
      " [-1.48335838]\n",
      " [-1.92113948]\n",
      " [-1.66999722]\n",
      " [-1.82166719]\n",
      " [-1.99977815]\n",
      " [-2.13181353]]\n",
      "987 Cost:  5.02936 \n",
      "Prediction:\n",
      " [[-1.66738987]\n",
      " [-1.13388157]\n",
      " [-1.48326898]\n",
      " [-1.92106903]\n",
      " [-1.66991484]\n",
      " [-1.82158744]\n",
      " [-1.99972272]\n",
      " [-2.13175893]]\n",
      "988 Cost:  5.02899 \n",
      "Prediction:\n",
      " [[-1.66728091]\n",
      " [-1.13377523]\n",
      " [-1.48317945]\n",
      " [-1.92099857]\n",
      " [-1.66983247]\n",
      " [-1.82150769]\n",
      " [-1.99966717]\n",
      " [-2.13170409]]\n",
      "989 Cost:  5.02863 \n",
      "Prediction:\n",
      " [[-1.66717207]\n",
      " [-1.13366914]\n",
      " [-1.48309004]\n",
      " [-1.92092824]\n",
      " [-1.66974998]\n",
      " [-1.82142794]\n",
      " [-1.99961185]\n",
      " [-2.13164949]]\n",
      "990 Cost:  5.02827 \n",
      "Prediction:\n",
      " [[-1.66706324]\n",
      " [-1.1335628 ]\n",
      " [-1.48300064]\n",
      " [-1.92085767]\n",
      " [-1.66966748]\n",
      " [-1.82134807]\n",
      " [-1.9995563 ]\n",
      " [-2.1315949 ]]\n",
      "991 Cost:  5.0279 \n",
      "Prediction:\n",
      " [[-1.66695428]\n",
      " [-1.13345659]\n",
      " [-1.48291123]\n",
      " [-1.92078733]\n",
      " [-1.66958523]\n",
      " [-1.82126832]\n",
      " [-1.99950099]\n",
      " [-2.1315403 ]]\n",
      "992 Cost:  5.02754 \n",
      "Prediction:\n",
      " [[-1.66684544]\n",
      " [-1.13335025]\n",
      " [-1.4828217 ]\n",
      " [-1.92071688]\n",
      " [-1.66950274]\n",
      " [-1.82118857]\n",
      " [-1.99944544]\n",
      " [-2.13148546]]\n",
      "993 Cost:  5.02718 \n",
      "Prediction:\n",
      " [[-1.6667366 ]\n",
      " [-1.13324404]\n",
      " [-1.4827323 ]\n",
      " [-1.92064643]\n",
      " [-1.66942036]\n",
      " [-1.82110882]\n",
      " [-1.99939001]\n",
      " [-2.13143086]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "994 Cost:  5.02682 \n",
      "Prediction:\n",
      " [[-1.66662765]\n",
      " [-1.13313782]\n",
      " [-1.48264289]\n",
      " [-1.9205761 ]\n",
      " [-1.66933799]\n",
      " [-1.82102895]\n",
      " [-1.99933457]\n",
      " [-2.13137627]]\n",
      "995 Cost:  5.02645 \n",
      "Prediction:\n",
      " [[-1.66651893]\n",
      " [-1.13303161]\n",
      " [-1.48255348]\n",
      " [-1.92050564]\n",
      " [-1.6692555 ]\n",
      " [-1.8209492 ]\n",
      " [-1.99927914]\n",
      " [-2.13132143]]\n",
      "996 Cost:  5.02609 \n",
      "Prediction:\n",
      " [[-1.66640997]\n",
      " [-1.13292527]\n",
      " [-1.48246408]\n",
      " [-1.92043519]\n",
      " [-1.669173  ]\n",
      " [-1.82086945]\n",
      " [-1.99922371]\n",
      " [-2.13126683]]\n",
      "997 Cost:  5.02573 \n",
      "Prediction:\n",
      " [[-1.66630113]\n",
      " [-1.13281918]\n",
      " [-1.48237467]\n",
      " [-1.92036474]\n",
      " [-1.66909075]\n",
      " [-1.82078958]\n",
      " [-1.99916828]\n",
      " [-2.13121223]]\n",
      "998 Cost:  5.02536 \n",
      "Prediction:\n",
      " [[-1.66619229]\n",
      " [-1.13271272]\n",
      " [-1.48228526]\n",
      " [-1.92029428]\n",
      " [-1.66900826]\n",
      " [-1.82070982]\n",
      " [-1.99911284]\n",
      " [-2.13115764]]\n",
      "999 Cost:  5.025 \n",
      "Prediction:\n",
      " [[-1.66608346]\n",
      " [-1.13260651]\n",
      " [-1.48219585]\n",
      " [-1.92022395]\n",
      " [-1.66892588]\n",
      " [-1.82063007]\n",
      " [-1.99905741]\n",
      " [-2.13110304]]\n",
      "1000 Cost:  5.02464 \n",
      "Prediction:\n",
      " [[-1.66597462]\n",
      " [-1.13250029]\n",
      " [-1.48210633]\n",
      " [-1.9201535 ]\n",
      " [-1.66884351]\n",
      " [-1.82055032]\n",
      " [-1.99900198]\n",
      " [-2.1310482 ]]\n",
      "1001 Cost:  5.02427 \n",
      "Prediction:\n",
      " [[-1.66586566]\n",
      " [-1.13239408]\n",
      " [-1.48201704]\n",
      " [-1.92008305]\n",
      " [-1.66876101]\n",
      " [-1.82047057]\n",
      " [-1.99894655]\n",
      " [-2.1309936 ]]\n",
      "1002 Cost:  5.02391 \n",
      "Prediction:\n",
      " [[-1.66575694]\n",
      " [-1.13228774]\n",
      " [-1.48192751]\n",
      " [-1.92001271]\n",
      " [-1.66867852]\n",
      " [-1.8203907 ]\n",
      " [-1.99889112]\n",
      " [-2.13093901]]\n",
      "1003 Cost:  5.02355 \n",
      "Prediction:\n",
      " [[-1.66564798]\n",
      " [-1.13218164]\n",
      " [-1.48183811]\n",
      " [-1.91994226]\n",
      " [-1.66859615]\n",
      " [-1.82031095]\n",
      " [-1.99883556]\n",
      " [-2.13088441]]\n",
      "1004 Cost:  5.02318 \n",
      "Prediction:\n",
      " [[-1.66553915]\n",
      " [-1.13207531]\n",
      " [-1.4817487 ]\n",
      " [-1.91987181]\n",
      " [-1.66851377]\n",
      " [-1.8202312 ]\n",
      " [-1.99878025]\n",
      " [-2.13082957]]\n",
      "1005 Cost:  5.02282 \n",
      "Prediction:\n",
      " [[-1.66543031]\n",
      " [-1.13196898]\n",
      " [-1.48165929]\n",
      " [-1.91980135]\n",
      " [-1.6684314 ]\n",
      " [-1.82015145]\n",
      " [-1.9987247 ]\n",
      " [-2.13077497]]\n",
      "1006 Cost:  5.02246 \n",
      "Prediction:\n",
      " [[-1.66532147]\n",
      " [-1.13186288]\n",
      " [-1.48156977]\n",
      " [-1.9197309 ]\n",
      " [-1.66834891]\n",
      " [-1.8200717 ]\n",
      " [-1.99866927]\n",
      " [-2.13072038]]\n",
      "1007 Cost:  5.0221 \n",
      "Prediction:\n",
      " [[-1.66521263]\n",
      " [-1.13175654]\n",
      " [-1.48148036]\n",
      " [-1.91966057]\n",
      " [-1.66826653]\n",
      " [-1.81999183]\n",
      " [-1.99861383]\n",
      " [-2.13066578]]\n",
      "1008 Cost:  5.02173 \n",
      "Prediction:\n",
      " [[-1.66510379]\n",
      " [-1.13165045]\n",
      " [-1.48139095]\n",
      " [-1.91959012]\n",
      " [-1.66818404]\n",
      " [-1.81991208]\n",
      " [-1.9985584 ]\n",
      " [-2.13061094]]\n",
      "1009 Cost:  5.02137 \n",
      "Prediction:\n",
      " [[-1.66499496]\n",
      " [-1.13154411]\n",
      " [-1.48130155]\n",
      " [-1.91951966]\n",
      " [-1.66810179]\n",
      " [-1.81983232]\n",
      " [-1.99850297]\n",
      " [-2.13055634]]\n",
      "1010 Cost:  5.02101 \n",
      "Prediction:\n",
      " [[-1.664886  ]\n",
      " [-1.13143778]\n",
      " [-1.48121214]\n",
      " [-1.91944933]\n",
      " [-1.66801929]\n",
      " [-1.81975257]\n",
      " [-1.99844754]\n",
      " [-2.13050175]]\n",
      "1011 Cost:  5.02065 \n",
      "Prediction:\n",
      " [[-1.66477728]\n",
      " [-1.13133156]\n",
      " [-1.48112273]\n",
      " [-1.919379  ]\n",
      " [-1.6679368 ]\n",
      " [-1.81967282]\n",
      " [-1.99839211]\n",
      " [-2.13044715]]\n",
      "1012 Cost:  5.02028 \n",
      "Prediction:\n",
      " [[-1.66466832]\n",
      " [-1.13122535]\n",
      " [-1.48103333]\n",
      " [-1.91930842]\n",
      " [-1.66785455]\n",
      " [-1.81959295]\n",
      " [-1.99833667]\n",
      " [-2.13039231]]\n",
      "1013 Cost:  5.01992 \n",
      "Prediction:\n",
      " [[-1.66455948]\n",
      " [-1.13111901]\n",
      " [-1.48094392]\n",
      " [-1.91923809]\n",
      " [-1.66777205]\n",
      " [-1.8195132 ]\n",
      " [-1.99828124]\n",
      " [-2.13033772]]\n",
      "1014 Cost:  5.01956 \n",
      "Prediction:\n",
      " [[-1.66445065]\n",
      " [-1.13101292]\n",
      " [-1.48085451]\n",
      " [-1.91916764]\n",
      " [-1.66768968]\n",
      " [-1.81943345]\n",
      " [-1.99822581]\n",
      " [-2.13028312]]\n",
      "1015 Cost:  5.01919 \n",
      "Prediction:\n",
      " [[-1.66434181]\n",
      " [-1.13090658]\n",
      " [-1.4807651 ]\n",
      " [-1.91909719]\n",
      " [-1.66760731]\n",
      " [-1.81935358]\n",
      " [-1.99817038]\n",
      " [-2.13022852]]\n",
      "1016 Cost:  5.01883 \n",
      "Prediction:\n",
      " [[-1.66423297]\n",
      " [-1.13080025]\n",
      " [-1.4806757 ]\n",
      " [-1.91902685]\n",
      " [-1.66752481]\n",
      " [-1.81927395]\n",
      " [-1.99811494]\n",
      " [-2.13017368]]\n",
      "1017 Cost:  5.01847 \n",
      "Prediction:\n",
      " [[-1.66412413]\n",
      " [-1.13069415]\n",
      " [-1.48058629]\n",
      " [-1.9189564 ]\n",
      " [-1.66744256]\n",
      " [-1.8191942 ]\n",
      " [-1.99805951]\n",
      " [-2.13011909]]\n",
      "1018 Cost:  5.01811 \n",
      "Prediction:\n",
      " [[-1.66401529]\n",
      " [-1.13058794]\n",
      " [-1.48049688]\n",
      " [-1.91888595]\n",
      " [-1.66736007]\n",
      " [-1.81911433]\n",
      " [-1.99800396]\n",
      " [-2.13006449]]\n",
      "1019 Cost:  5.01774 \n",
      "Prediction:\n",
      " [[-1.66390646]\n",
      " [-1.13048172]\n",
      " [-1.48040748]\n",
      " [-1.91881561]\n",
      " [-1.66727757]\n",
      " [-1.81903458]\n",
      " [-1.99794865]\n",
      " [-2.13000989]]\n",
      "1020 Cost:  5.01738 \n",
      "Prediction:\n",
      " [[-1.66379762]\n",
      " [-1.13037539]\n",
      " [-1.48031795]\n",
      " [-1.91874504]\n",
      " [-1.6671952 ]\n",
      " [-1.81895483]\n",
      " [-1.9978931 ]\n",
      " [-2.12995505]]\n",
      "1021 Cost:  5.01702 \n",
      "Prediction:\n",
      " [[-1.66368878]\n",
      " [-1.13026929]\n",
      " [-1.48022854]\n",
      " [-1.91867471]\n",
      " [-1.66711283]\n",
      " [-1.81887507]\n",
      " [-1.99783778]\n",
      " [-2.12990046]]\n",
      "1022 Cost:  5.01665 \n",
      "Prediction:\n",
      " [[-1.66357994]\n",
      " [-1.13016295]\n",
      " [-1.48013926]\n",
      " [-1.91860437]\n",
      " [-1.66703045]\n",
      " [-1.8187952 ]\n",
      " [-1.99778223]\n",
      " [-2.12984586]]\n",
      "1023 Cost:  5.01629 \n",
      "Prediction:\n",
      " [[-1.6634711 ]\n",
      " [-1.13005674]\n",
      " [-1.48004973]\n",
      " [-1.91853392]\n",
      " [-1.66694808]\n",
      " [-1.81871557]\n",
      " [-1.99772692]\n",
      " [-2.12979126]]\n",
      "1024 Cost:  5.01593 \n",
      "Prediction:\n",
      " [[-1.66336226]\n",
      " [-1.12995052]\n",
      " [-1.47996032]\n",
      " [-1.91846347]\n",
      " [-1.66686559]\n",
      " [-1.8186357 ]\n",
      " [-1.99767137]\n",
      " [-2.12973642]]\n",
      "1025 Cost:  5.01557 \n",
      "Prediction:\n",
      " [[-1.66325343]\n",
      " [-1.12984431]\n",
      " [-1.4798708 ]\n",
      " [-1.91839302]\n",
      " [-1.66678333]\n",
      " [-1.81855595]\n",
      " [-1.99761605]\n",
      " [-2.12968183]]\n",
      "1026 Cost:  5.0152 \n",
      "Prediction:\n",
      " [[-1.66314459]\n",
      " [-1.12973809]\n",
      " [-1.47978151]\n",
      " [-1.91832268]\n",
      " [-1.66670084]\n",
      " [-1.8184762 ]\n",
      " [-1.9975605 ]\n",
      " [-2.12962723]]\n",
      "1027 Cost:  5.01484 \n",
      "Prediction:\n",
      " [[-1.66303575]\n",
      " [-1.12963176]\n",
      " [-1.4796921 ]\n",
      " [-1.91825223]\n",
      " [-1.66661835]\n",
      " [-1.81839645]\n",
      " [-1.99750507]\n",
      " [-2.12957263]]\n",
      "1028 Cost:  5.01448 \n",
      "Prediction:\n",
      " [[-1.66292691]\n",
      " [-1.12952542]\n",
      " [-1.47960269]\n",
      " [-1.91818178]\n",
      " [-1.66653597]\n",
      " [-1.8183167 ]\n",
      " [-1.99744964]\n",
      " [-2.12951779]]\n",
      "1029 Cost:  5.01412 \n",
      "Prediction:\n",
      " [[-1.66281807]\n",
      " [-1.12941933]\n",
      " [-1.47951329]\n",
      " [-1.91811132]\n",
      " [-1.6664536 ]\n",
      " [-1.81823683]\n",
      " [-1.9973942 ]\n",
      " [-2.1294632 ]]\n",
      "1030 Cost:  5.01375 \n",
      "Prediction:\n",
      " [[-1.66270924]\n",
      " [-1.12931311]\n",
      " [-1.47942388]\n",
      " [-1.91804099]\n",
      " [-1.66637123]\n",
      " [-1.8181572 ]\n",
      " [-1.99733877]\n",
      " [-2.1294086 ]]\n",
      "1031 Cost:  5.01339 \n",
      "Prediction:\n",
      " [[-1.66260052]\n",
      " [-1.1292069 ]\n",
      " [-1.47933447]\n",
      " [-1.91797066]\n",
      " [-1.66628885]\n",
      " [-1.81807745]\n",
      " [-1.99728334]\n",
      " [-2.129354  ]]\n",
      "1032 Cost:  5.01303 \n",
      "Prediction:\n",
      " [[-1.6624918 ]\n",
      " [-1.1291008 ]\n",
      " [-1.47924519]\n",
      " [-1.91790009]\n",
      " [-1.66620648]\n",
      " [-1.81799769]\n",
      " [-1.99722791]\n",
      " [-2.12929916]]\n",
      "1033 Cost:  5.01267 \n",
      "Prediction:\n",
      " [[-1.66238308]\n",
      " [-1.1289947 ]\n",
      " [-1.47915578]\n",
      " [-1.91782987]\n",
      " [-1.66612411]\n",
      " [-1.81791806]\n",
      " [-1.99717247]\n",
      " [-2.12924457]]\n",
      "1034 Cost:  5.0123 \n",
      "Prediction:\n",
      " [[-1.66227448]\n",
      " [-1.12888861]\n",
      " [-1.47906661]\n",
      " [-1.91775954]\n",
      " [-1.66604185]\n",
      " [-1.81783843]\n",
      " [-1.99711704]\n",
      " [-2.12918997]]\n",
      "1035 Cost:  5.01194 \n",
      "Prediction:\n",
      " [[-1.66216588]\n",
      " [-1.12878251]\n",
      " [-1.4789772 ]\n",
      " [-1.91768909]\n",
      " [-1.6659596 ]\n",
      " [-1.81775868]\n",
      " [-1.99706173]\n",
      " [-2.12913537]]\n",
      "1036 Cost:  5.01158 \n",
      "Prediction:\n",
      " [[-1.66205716]\n",
      " [-1.12867641]\n",
      " [-1.47888792]\n",
      " [-1.91761887]\n",
      " [-1.66587722]\n",
      " [-1.81767893]\n",
      " [-1.9970063 ]\n",
      " [-2.12908077]]\n",
      "1037 Cost:  5.01122 \n",
      "Prediction:\n",
      " [[-1.66194856]\n",
      " [-1.1285702 ]\n",
      " [-1.47879863]\n",
      " [-1.91754842]\n",
      " [-1.66579497]\n",
      " [-1.8175993 ]\n",
      " [-1.99695086]\n",
      " [-2.12902594]]\n",
      "1038 Cost:  5.01086 \n",
      "Prediction:\n",
      " [[-1.66183996]\n",
      " [-1.12846422]\n",
      " [-1.47870934]\n",
      " [-1.9174782 ]\n",
      " [-1.66571271]\n",
      " [-1.81751966]\n",
      " [-1.99689543]\n",
      " [-2.12897134]]\n",
      "1039 Cost:  5.01049 \n",
      "Prediction:\n",
      " [[-1.66173124]\n",
      " [-1.12835801]\n",
      " [-1.47862005]\n",
      " [-1.91740775]\n",
      " [-1.66563034]\n",
      " [-1.81744003]\n",
      " [-1.99684   ]\n",
      " [-2.12891674]]\n",
      "1040 Cost:  5.01013 \n",
      "Prediction:\n",
      " [[-1.66162264]\n",
      " [-1.12825203]\n",
      " [-1.47853065]\n",
      " [-1.91733742]\n",
      " [-1.66554809]\n",
      " [-1.81736028]\n",
      " [-1.99678469]\n",
      " [-2.12886214]]\n",
      "1041 Cost:  5.00977 \n",
      "Prediction:\n",
      " [[-1.66151404]\n",
      " [-1.12814593]\n",
      " [-1.47844148]\n",
      " [-1.9172672 ]\n",
      " [-1.66546583]\n",
      " [-1.81728065]\n",
      " [-1.99672925]\n",
      " [-2.12880731]]\n",
      "1042 Cost:  5.00941 \n",
      "Prediction:\n",
      " [[-1.66140532]\n",
      " [-1.12803984]\n",
      " [-1.47835207]\n",
      " [-1.91719675]\n",
      " [-1.66538346]\n",
      " [-1.8172009 ]\n",
      " [-1.99667382]\n",
      " [-2.12875271]]\n",
      "1043 Cost:  5.00905 \n",
      "Prediction:\n",
      " [[-1.66129673]\n",
      " [-1.12793374]\n",
      " [-1.47826278]\n",
      " [-1.91712642]\n",
      " [-1.66530108]\n",
      " [-1.81712127]\n",
      " [-1.99661839]\n",
      " [-2.12869811]]\n",
      "1044 Cost:  5.00868 \n",
      "Prediction:\n",
      " [[-1.66118813]\n",
      " [-1.12782753]\n",
      " [-1.47817349]\n",
      " [-1.91705608]\n",
      " [-1.66521883]\n",
      " [-1.81704152]\n",
      " [-1.99656296]\n",
      " [-2.12864351]]\n",
      "1045 Cost:  5.00832 \n",
      "Prediction:\n",
      " [[-1.66107941]\n",
      " [-1.12772155]\n",
      " [-1.47808421]\n",
      " [-1.91698575]\n",
      " [-1.66513658]\n",
      " [-1.81696188]\n",
      " [-1.99650764]\n",
      " [-2.12858868]]\n",
      "1046 Cost:  5.00796 \n",
      "Prediction:\n",
      " [[-1.66097069]\n",
      " [-1.12761521]\n",
      " [-1.47799492]\n",
      " [-1.91691542]\n",
      " [-1.6650542 ]\n",
      " [-1.81688213]\n",
      " [-1.99645209]\n",
      " [-2.12853408]]\n",
      "1047 Cost:  5.0076 \n",
      "Prediction:\n",
      " [[-1.66086209]\n",
      " [-1.12750936]\n",
      " [-1.47790551]\n",
      " [-1.91684508]\n",
      " [-1.66497195]\n",
      " [-1.8168025 ]\n",
      " [-1.99639678]\n",
      " [-2.12847948]]\n",
      "1048 Cost:  5.00724 \n",
      "Prediction:\n",
      " [[-1.66075349]\n",
      " [-1.12740302]\n",
      " [-1.47781634]\n",
      " [-1.91677475]\n",
      " [-1.66488957]\n",
      " [-1.81672287]\n",
      " [-1.99634135]\n",
      " [-2.12842488]]\n",
      "1049 Cost:  5.00688 \n",
      "Prediction:\n",
      " [[-1.66064489]\n",
      " [-1.12729716]\n",
      " [-1.47772694]\n",
      " [-1.91670442]\n",
      " [-1.66480732]\n",
      " [-1.81664324]\n",
      " [-1.99628592]\n",
      " [-2.12837029]]\n",
      "1050 Cost:  5.00651 \n",
      "Prediction:\n",
      " [[-1.66053629]\n",
      " [-1.12719107]\n",
      " [-1.47763777]\n",
      " [-1.91663408]\n",
      " [-1.66472507]\n",
      " [-1.81656361]\n",
      " [-1.9962306 ]\n",
      " [-2.12831545]]\n",
      "1051 Cost:  5.00615 \n",
      "Prediction:\n",
      " [[-1.66042757]\n",
      " [-1.12708497]\n",
      " [-1.47754848]\n",
      " [-1.91656375]\n",
      " [-1.66464281]\n",
      " [-1.81648386]\n",
      " [-1.99617517]\n",
      " [-2.12826085]]\n",
      "1052 Cost:  5.00579 \n",
      "Prediction:\n",
      " [[-1.66031897]\n",
      " [-1.12697911]\n",
      " [-1.47745919]\n",
      " [-1.91649354]\n",
      " [-1.66456056]\n",
      " [-1.81640422]\n",
      " [-1.99611974]\n",
      " [-2.12820625]]\n",
      "1053 Cost:  5.00543 \n",
      "Prediction:\n",
      " [[-1.66021037]\n",
      " [-1.1268729 ]\n",
      " [-1.4773699 ]\n",
      " [-1.91642308]\n",
      " [-1.66447818]\n",
      " [-1.81632459]\n",
      " [-1.99606442]\n",
      " [-2.12815166]]\n",
      "1054 Cost:  5.00507 \n",
      "Prediction:\n",
      " [[-1.66010165]\n",
      " [-1.12676704]\n",
      " [-1.47728062]\n",
      " [-1.91635275]\n",
      " [-1.66439593]\n",
      " [-1.81624496]\n",
      " [-1.99600899]\n",
      " [-2.12809706]]\n",
      "1055 Cost:  5.00471 \n",
      "Prediction:\n",
      " [[-1.65999305]\n",
      " [-1.12666082]\n",
      " [-1.47719145]\n",
      " [-1.91628242]\n",
      " [-1.66431367]\n",
      " [-1.81616521]\n",
      " [-1.99595356]\n",
      " [-2.12804246]]\n",
      "1056 Cost:  5.00434 \n",
      "Prediction:\n",
      " [[-1.65988445]\n",
      " [-1.12655497]\n",
      " [-1.47710216]\n",
      " [-1.91621208]\n",
      " [-1.6642313 ]\n",
      " [-1.81608558]\n",
      " [-1.99589813]\n",
      " [-2.12798786]]\n",
      "1057 Cost:  5.00398 \n",
      "Prediction:\n",
      " [[-1.65977585]\n",
      " [-1.12644887]\n",
      " [-1.47701299]\n",
      " [-1.91614187]\n",
      " [-1.66414905]\n",
      " [-1.81600595]\n",
      " [-1.99584281]\n",
      " [-2.12793326]]\n",
      "1058 Cost:  5.00362 \n",
      "Prediction:\n",
      " [[-1.65966725]\n",
      " [-1.12634277]\n",
      " [-1.4769237 ]\n",
      " [-1.91607153]\n",
      " [-1.66406679]\n",
      " [-1.81592631]\n",
      " [-1.99578738]\n",
      " [-2.12787867]]\n",
      "1059 Cost:  5.00326 \n",
      "Prediction:\n",
      " [[-1.65955853]\n",
      " [-1.1262368 ]\n",
      " [-1.47683442]\n",
      " [-1.9160012 ]\n",
      " [-1.66398454]\n",
      " [-1.81584668]\n",
      " [-1.99573195]\n",
      " [-2.12782407]]\n",
      "1060 Cost:  5.0029 \n",
      "Prediction:\n",
      " [[-1.65944993]\n",
      " [-1.12613082]\n",
      " [-1.47674513]\n",
      " [-1.91593087]\n",
      " [-1.66390228]\n",
      " [-1.81576705]\n",
      " [-1.99567652]\n",
      " [-2.12776947]]\n",
      "1061 Cost:  5.00254 \n",
      "Prediction:\n",
      " [[-1.65934134]\n",
      " [-1.12602484]\n",
      " [-1.47665584]\n",
      " [-1.91586065]\n",
      " [-1.66382003]\n",
      " [-1.81568742]\n",
      " [-1.9956212 ]\n",
      " [-2.12771463]]\n",
      "1062 Cost:  5.00217 \n",
      "Prediction:\n",
      " [[-1.65923262]\n",
      " [-1.12591863]\n",
      " [-1.47656655]\n",
      " [-1.9157902 ]\n",
      " [-1.66373765]\n",
      " [-1.81560767]\n",
      " [-1.99556577]\n",
      " [-2.12766004]]\n",
      "1063 Cost:  5.00181 \n",
      "Prediction:\n",
      " [[-1.65912402]\n",
      " [-1.12581277]\n",
      " [-1.47647738]\n",
      " [-1.91571999]\n",
      " [-1.6636554 ]\n",
      " [-1.81552804]\n",
      " [-1.99551034]\n",
      " [-2.12760544]]\n",
      "1064 Cost:  5.00145 \n",
      "Prediction:\n",
      " [[-1.65901542]\n",
      " [-1.12570667]\n",
      " [-1.4763881 ]\n",
      " [-1.91564953]\n",
      " [-1.66357315]\n",
      " [-1.8154484 ]\n",
      " [-1.99545503]\n",
      " [-2.12755084]]\n",
      "1065 Cost:  5.00109 \n",
      "Prediction:\n",
      " [[-1.65890682]\n",
      " [-1.1256007 ]\n",
      " [-1.47629881]\n",
      " [-1.91557932]\n",
      " [-1.66349089]\n",
      " [-1.81536877]\n",
      " [-1.99539959]\n",
      " [-2.12749624]]\n",
      "1066 Cost:  5.00073 \n",
      "Prediction:\n",
      " [[-1.65879822]\n",
      " [-1.1254946 ]\n",
      " [-1.47620964]\n",
      " [-1.91550899]\n",
      " [-1.66340864]\n",
      " [-1.81528914]\n",
      " [-1.99534416]\n",
      " [-2.12744164]]\n",
      "1067 Cost:  5.00037 \n",
      "Prediction:\n",
      " [[-1.6586895 ]\n",
      " [-1.12538862]\n",
      " [-1.47612035]\n",
      " [-1.91543865]\n",
      " [-1.66332638]\n",
      " [-1.81520939]\n",
      " [-1.99528885]\n",
      " [-2.12738705]]\n",
      "1068 Cost:  5.0 \n",
      "Prediction:\n",
      " [[-1.65858102]\n",
      " [-1.12528253]\n",
      " [-1.47603106]\n",
      " [-1.91536832]\n",
      " [-1.66324413]\n",
      " [-1.81512976]\n",
      " [-1.99523342]\n",
      " [-2.12733245]]\n",
      "1069 Cost:  4.99964 \n",
      "Prediction:\n",
      " [[-1.6584723 ]\n",
      " [-1.12517655]\n",
      " [-1.47594178]\n",
      " [-1.91529799]\n",
      " [-1.66316187]\n",
      " [-1.81505013]\n",
      " [-1.99517798]\n",
      " [-2.12727785]]\n",
      "1070 Cost:  4.99928 \n",
      "Prediction:\n",
      " [[-1.6583637 ]\n",
      " [-1.12507057]\n",
      " [-1.47585249]\n",
      " [-1.91522765]\n",
      " [-1.6630795 ]\n",
      " [-1.81497049]\n",
      " [-1.99512267]\n",
      " [-2.12722325]]\n",
      "1071 Cost:  4.99892 \n",
      "Prediction:\n",
      " [[-1.6582551 ]\n",
      " [-1.12496448]\n",
      " [-1.47576332]\n",
      " [-1.91515732]\n",
      " [-1.66299725]\n",
      " [-1.81489086]\n",
      " [-1.99506724]\n",
      " [-2.12716842]]\n",
      "1072 Cost:  4.99856 \n",
      "Prediction:\n",
      " [[-1.6581465 ]\n",
      " [-1.12485862]\n",
      " [-1.47567415]\n",
      " [-1.91508698]\n",
      " [-1.66291499]\n",
      " [-1.81481123]\n",
      " [-1.99501181]\n",
      " [-2.12711382]]\n",
      "1073 Cost:  4.9982 \n",
      "Prediction:\n",
      " [[-1.6580379 ]\n",
      " [-1.12475252]\n",
      " [-1.47558475]\n",
      " [-1.91501665]\n",
      " [-1.66283274]\n",
      " [-1.8147316 ]\n",
      " [-1.99495649]\n",
      " [-2.12705922]]\n",
      "1074 Cost:  4.99784 \n",
      "Prediction:\n",
      " [[-1.6579293 ]\n",
      " [-1.12464643]\n",
      " [-1.47549558]\n",
      " [-1.91494632]\n",
      " [-1.66275048]\n",
      " [-1.81465197]\n",
      " [-1.99490106]\n",
      " [-2.12700462]]\n",
      "1075 Cost:  4.99748 \n",
      "Prediction:\n",
      " [[-1.6578207 ]\n",
      " [-1.12454057]\n",
      " [-1.47540629]\n",
      " [-1.91487598]\n",
      " [-1.66266823]\n",
      " [-1.81457233]\n",
      " [-1.99484563]\n",
      " [-2.12695003]]\n",
      "1076 Cost:  4.99711 \n",
      "Prediction:\n",
      " [[-1.65771198]\n",
      " [-1.12443447]\n",
      " [-1.475317  ]\n",
      " [-1.91480565]\n",
      " [-1.66258597]\n",
      " [-1.8144927 ]\n",
      " [-1.99479032]\n",
      " [-2.12689543]]\n",
      "1077 Cost:  4.99675 \n",
      "Prediction:\n",
      " [[-1.6576035 ]\n",
      " [-1.12432837]\n",
      " [-1.47522783]\n",
      " [-1.91473532]\n",
      " [-1.66250372]\n",
      " [-1.81441307]\n",
      " [-1.99473488]\n",
      " [-2.12684083]]\n",
      "1078 Cost:  4.99639 \n",
      "Prediction:\n",
      " [[-1.65749478]\n",
      " [-1.12422252]\n",
      " [-1.47513855]\n",
      " [-1.91466498]\n",
      " [-1.66242146]\n",
      " [-1.81433344]\n",
      " [-1.99467945]\n",
      " [-2.12678623]]\n",
      "1079 Cost:  4.99603 \n",
      "Prediction:\n",
      " [[-1.65738618]\n",
      " [-1.1241163 ]\n",
      " [-1.47504926]\n",
      " [-1.91459465]\n",
      " [-1.66233921]\n",
      " [-1.81425369]\n",
      " [-1.99462414]\n",
      " [-2.12673163]]\n",
      "1080 Cost:  4.99567 \n",
      "Prediction:\n",
      " [[-1.65727758]\n",
      " [-1.12401044]\n",
      " [-1.47496009]\n",
      " [-1.91452444]\n",
      " [-1.66225696]\n",
      " [-1.81417406]\n",
      " [-1.99456871]\n",
      " [-2.12667704]]\n",
      "1081 Cost:  4.99531 \n",
      "Prediction:\n",
      " [[-1.65716898]\n",
      " [-1.12390447]\n",
      " [-1.4748708 ]\n",
      " [-1.9144541 ]\n",
      " [-1.6621747 ]\n",
      " [-1.81409442]\n",
      " [-1.99451327]\n",
      " [-2.1266222 ]]\n",
      "1082 Cost:  4.99495 \n",
      "Prediction:\n",
      " [[-1.65706038]\n",
      " [-1.12379837]\n",
      " [-1.47478151]\n",
      " [-1.91438389]\n",
      " [-1.66209233]\n",
      " [-1.81401479]\n",
      " [-1.99445796]\n",
      " [-2.1265676 ]]\n",
      "1083 Cost:  4.99459 \n",
      "Prediction:\n",
      " [[-1.65695179]\n",
      " [-1.12369239]\n",
      " [-1.47469234]\n",
      " [-1.91431344]\n",
      " [-1.66201007]\n",
      " [-1.81393516]\n",
      " [-1.99440253]\n",
      " [-2.126513  ]]\n",
      "1084 Cost:  4.99422 \n",
      "Prediction:\n",
      " [[-1.65684319]\n",
      " [-1.12358642]\n",
      " [-1.47460306]\n",
      " [-1.91424322]\n",
      " [-1.66192782]\n",
      " [-1.81385541]\n",
      " [-1.9943471 ]\n",
      " [-2.12645841]]\n",
      "1085 Cost:  4.99386 \n",
      "Prediction:\n",
      " [[-1.65673459]\n",
      " [-1.12348032]\n",
      " [-1.47451377]\n",
      " [-1.91417277]\n",
      " [-1.66184556]\n",
      " [-1.8137759 ]\n",
      " [-1.99429178]\n",
      " [-2.12640381]]\n",
      "1086 Cost:  4.9935 \n",
      "Prediction:\n",
      " [[-1.65662599]\n",
      " [-1.12337422]\n",
      " [-1.4744246 ]\n",
      " [-1.91410255]\n",
      " [-1.66176331]\n",
      " [-1.81369627]\n",
      " [-1.99423635]\n",
      " [-2.12634921]]\n",
      "1087 Cost:  4.99314 \n",
      "Prediction:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [[-1.65651739]\n",
      " [-1.12326837]\n",
      " [-1.47433531]\n",
      " [-1.91403222]\n",
      " [-1.66168106]\n",
      " [-1.81361663]\n",
      " [-1.99418092]\n",
      " [-2.12629461]]\n",
      "1088 Cost:  4.99278 \n",
      "Prediction:\n",
      " [[-1.65640879]\n",
      " [-1.12316227]\n",
      " [-1.47424603]\n",
      " [-1.91396189]\n",
      " [-1.6615988 ]\n",
      " [-1.81353688]\n",
      " [-1.9941256 ]\n",
      " [-2.12624002]]\n",
      "1089 Cost:  4.99242 \n",
      "Prediction:\n",
      " [[-1.65630019]\n",
      " [-1.12305629]\n",
      " [-1.47415686]\n",
      " [-1.91389155]\n",
      " [-1.66151655]\n",
      " [-1.81345737]\n",
      " [-1.99407017]\n",
      " [-2.12618542]]\n",
      "1090 Cost:  4.99206 \n",
      "Prediction:\n",
      " [[-1.65619159]\n",
      " [-1.12295032]\n",
      " [-1.47406757]\n",
      " [-1.91382122]\n",
      " [-1.66143429]\n",
      " [-1.81337762]\n",
      " [-1.99401474]\n",
      " [-2.12613082]]\n",
      "1091 Cost:  4.9917 \n",
      "Prediction:\n",
      " [[-1.65608299]\n",
      " [-1.12284422]\n",
      " [-1.47397828]\n",
      " [-1.91375101]\n",
      " [-1.66135192]\n",
      " [-1.81329799]\n",
      " [-1.99395943]\n",
      " [-2.12607622]]\n",
      "1092 Cost:  4.99133 \n",
      "Prediction:\n",
      " [[-1.65597439]\n",
      " [-1.12273836]\n",
      " [-1.47388911]\n",
      " [-1.91368055]\n",
      " [-1.66126966]\n",
      " [-1.81321836]\n",
      " [-1.99390399]\n",
      " [-2.12602139]]\n",
      "1093 Cost:  4.99097 \n",
      "Prediction:\n",
      " [[-1.65586579]\n",
      " [-1.12263227]\n",
      " [-1.47379982]\n",
      " [-1.91361034]\n",
      " [-1.66118741]\n",
      " [-1.81313872]\n",
      " [-1.99384856]\n",
      " [-2.12596679]]\n",
      "1094 Cost:  4.99061 \n",
      "Prediction:\n",
      " [[-1.65575719]\n",
      " [-1.12252641]\n",
      " [-1.47371066]\n",
      " [-1.91353989]\n",
      " [-1.66110516]\n",
      " [-1.81305909]\n",
      " [-1.99379325]\n",
      " [-2.12591219]]\n",
      "1095 Cost:  4.99025 \n",
      "Prediction:\n",
      " [[-1.65564859]\n",
      " [-1.12242019]\n",
      " [-1.47362137]\n",
      " [-1.91346967]\n",
      " [-1.6610229 ]\n",
      " [-1.81297946]\n",
      " [-1.99373782]\n",
      " [-2.12585759]]\n",
      "1096 Cost:  4.98989 \n",
      "Prediction:\n",
      " [[-1.65553999]\n",
      " [-1.12231421]\n",
      " [-1.47353208]\n",
      " [-1.91339946]\n",
      " [-1.66094065]\n",
      " [-1.81289983]\n",
      " [-1.99368238]\n",
      " [-2.12580299]]\n",
      "1097 Cost:  4.98953 \n",
      "Prediction:\n",
      " [[-1.65543139]\n",
      " [-1.12220824]\n",
      " [-1.47344291]\n",
      " [-1.91332912]\n",
      " [-1.66085839]\n",
      " [-1.8128202 ]\n",
      " [-1.99362707]\n",
      " [-2.1257484 ]]\n",
      "1098 Cost:  4.98917 \n",
      "Prediction:\n",
      " [[-1.65532279]\n",
      " [-1.12210226]\n",
      " [-1.47335362]\n",
      " [-1.91325879]\n",
      " [-1.66077614]\n",
      " [-1.81274056]\n",
      " [-1.99357164]\n",
      " [-2.1256938 ]]\n",
      "1099 Cost:  4.98881 \n",
      "Prediction:\n",
      " [[-1.65521419]\n",
      " [-1.12199616]\n",
      " [-1.47326446]\n",
      " [-1.91318846]\n",
      " [-1.66069388]\n",
      " [-1.81266093]\n",
      " [-1.99351621]\n",
      " [-2.1256392 ]]\n",
      "1100 Cost:  4.98845 \n",
      "Prediction:\n",
      " [[-1.65510559]\n",
      " [-1.12189019]\n",
      " [-1.47317517]\n",
      " [-1.91311812]\n",
      " [-1.66061163]\n",
      " [-1.8125813 ]\n",
      " [-1.99346089]\n",
      " [-2.1255846 ]]\n",
      "1101 Cost:  4.98809 \n",
      "Prediction:\n",
      " [[-1.65499699]\n",
      " [-1.12178421]\n",
      " [-1.47308588]\n",
      " [-1.91304779]\n",
      " [-1.66052938]\n",
      " [-1.81250167]\n",
      " [-1.99340546]\n",
      " [-2.12553   ]]\n",
      "1102 Cost:  4.98772 \n",
      "Prediction:\n",
      " [[-1.65488839]\n",
      " [-1.12167823]\n",
      " [-1.47299671]\n",
      " [-1.91297746]\n",
      " [-1.66044712]\n",
      " [-1.81242204]\n",
      " [-1.99335003]\n",
      " [-2.12547541]]\n",
      "1103 Cost:  4.98736 \n",
      "Prediction:\n",
      " [[-1.65477979]\n",
      " [-1.12157226]\n",
      " [-1.47290742]\n",
      " [-1.91290712]\n",
      " [-1.66036487]\n",
      " [-1.81234241]\n",
      " [-1.99329472]\n",
      " [-2.12542057]]\n",
      "1104 Cost:  4.987 \n",
      "Prediction:\n",
      " [[-1.65467131]\n",
      " [-1.12146616]\n",
      " [-1.47281826]\n",
      " [-1.91283679]\n",
      " [-1.66028261]\n",
      " [-1.81226277]\n",
      " [-1.99323928]\n",
      " [-2.12536597]]\n",
      "1105 Cost:  4.98664 \n",
      "Prediction:\n",
      " [[-1.65456271]\n",
      " [-1.1213603 ]\n",
      " [-1.47272897]\n",
      " [-1.9127667 ]\n",
      " [-1.66020048]\n",
      " [-1.81218314]\n",
      " [-1.99318385]\n",
      " [-2.12531137]]\n",
      "1106 Cost:  4.98628 \n",
      "Prediction:\n",
      " [[-1.65445423]\n",
      " [-1.12125444]\n",
      " [-1.4726398 ]\n",
      " [-1.91269636]\n",
      " [-1.66011822]\n",
      " [-1.81210363]\n",
      " [-1.99312854]\n",
      " [-2.12525678]]\n",
      "1107 Cost:  4.98592 \n",
      "Prediction:\n",
      " [[-1.65434575]\n",
      " [-1.12114847]\n",
      " [-1.47255063]\n",
      " [-1.91262603]\n",
      " [-1.66003597]\n",
      " [-1.812024  ]\n",
      " [-1.99307311]\n",
      " [-2.12520218]]\n",
      "1108 Cost:  4.98556 \n",
      "Prediction:\n",
      " [[-1.65423727]\n",
      " [-1.12104237]\n",
      " [-1.47246146]\n",
      " [-1.91255569]\n",
      " [-1.65995371]\n",
      " [-1.81194437]\n",
      " [-1.99301767]\n",
      " [-2.12514758]]\n",
      "1109 Cost:  4.9852 \n",
      "Prediction:\n",
      " [[-1.65412867]\n",
      " [-1.12093651]\n",
      " [-1.47237217]\n",
      " [-1.91248536]\n",
      " [-1.65987158]\n",
      " [-1.81186485]\n",
      " [-1.99296236]\n",
      " [-2.12509298]]\n",
      "1110 Cost:  4.98484 \n",
      "Prediction:\n",
      " [[-1.65402007]\n",
      " [-1.12083054]\n",
      " [-1.47228301]\n",
      " [-1.91241503]\n",
      " [-1.65978932]\n",
      " [-1.81178522]\n",
      " [-1.99290693]\n",
      " [-2.12503839]]\n",
      "1111 Cost:  4.98448 \n",
      "Prediction:\n",
      " [[-1.65391159]\n",
      " [-1.12072468]\n",
      " [-1.47219372]\n",
      " [-1.91234481]\n",
      " [-1.65970707]\n",
      " [-1.81170559]\n",
      " [-1.9928515 ]\n",
      " [-2.12498379]]\n",
      "1112 Cost:  4.98412 \n",
      "Prediction:\n",
      " [[-1.65380311]\n",
      " [-1.1206187 ]\n",
      " [-1.47210455]\n",
      " [-1.9122746 ]\n",
      " [-1.65962481]\n",
      " [-1.81162596]\n",
      " [-1.99279618]\n",
      " [-2.12492919]]\n",
      "1113 Cost:  4.98376 \n",
      "Prediction:\n",
      " [[-1.65369463]\n",
      " [-1.12051272]\n",
      " [-1.47201538]\n",
      " [-1.91220427]\n",
      " [-1.65954268]\n",
      " [-1.81154633]\n",
      " [-1.99274075]\n",
      " [-2.12487459]]\n",
      "1114 Cost:  4.9834 \n",
      "Prediction:\n",
      " [[-1.65358603]\n",
      " [-1.12040687]\n",
      " [-1.47192609]\n",
      " [-1.91213393]\n",
      " [-1.65946043]\n",
      " [-1.81146669]\n",
      " [-1.99268532]\n",
      " [-2.12481999]]\n",
      "1115 Cost:  4.98304 \n",
      "Prediction:\n",
      " [[-1.65347755]\n",
      " [-1.12030077]\n",
      " [-1.47183704]\n",
      " [-1.9120636 ]\n",
      " [-1.65937817]\n",
      " [-1.81138718]\n",
      " [-1.99263   ]\n",
      " [-2.1247654 ]]\n",
      "1116 Cost:  4.98267 \n",
      "Prediction:\n",
      " [[-1.65336895]\n",
      " [-1.12019491]\n",
      " [-1.47174776]\n",
      " [-1.91199338]\n",
      " [-1.65929592]\n",
      " [-1.81130755]\n",
      " [-1.99257457]\n",
      " [-2.12471056]]\n",
      "1117 Cost:  4.98231 \n",
      "Prediction:\n",
      " [[-1.65326047]\n",
      " [-1.12008882]\n",
      " [-1.47165847]\n",
      " [-1.91192305]\n",
      " [-1.65921378]\n",
      " [-1.81122804]\n",
      " [-1.99251914]\n",
      " [-2.12465596]]\n",
      "1118 Cost:  4.98195 \n",
      "Prediction:\n",
      " [[-1.65315223]\n",
      " [-1.1199832 ]\n",
      " [-1.47156954]\n",
      " [-1.91185308]\n",
      " [-1.65913177]\n",
      " [-1.81114864]\n",
      " [-1.99246407]\n",
      " [-2.1246016 ]]\n",
      "1119 Cost:  4.9816 \n",
      "Prediction:\n",
      " [[-1.65304399]\n",
      " [-1.11987746]\n",
      " [-1.47148061]\n",
      " [-1.91178298]\n",
      " [-1.65904975]\n",
      " [-1.81106925]\n",
      " [-1.99240887]\n",
      " [-2.12454724]]\n",
      "1120 Cost:  4.98124 \n",
      "Prediction:\n",
      " [[-1.65293574]\n",
      " [-1.11977184]\n",
      " [-1.47139168]\n",
      " [-1.91171288]\n",
      " [-1.65896773]\n",
      " [-1.81098986]\n",
      " [-1.99235368]\n",
      " [-2.12449288]]\n",
      "1121 Cost:  4.98088 \n",
      "Prediction:\n",
      " [[-1.65282738]\n",
      " [-1.1196661 ]\n",
      " [-1.47130275]\n",
      " [-1.91164303]\n",
      " [-1.65888584]\n",
      " [-1.81091046]\n",
      " [-1.9922986 ]\n",
      " [-2.12443852]]\n",
      "1122 Cost:  4.98052 \n",
      "Prediction:\n",
      " [[-1.65271914]\n",
      " [-1.11956036]\n",
      " [-1.47121382]\n",
      " [-1.91157293]\n",
      " [-1.65880382]\n",
      " [-1.81083119]\n",
      " [-1.99224341]\n",
      " [-2.12438416]]\n",
      "1123 Cost:  4.98016 \n",
      "Prediction:\n",
      " [[-1.65261078]\n",
      " [-1.11945474]\n",
      " [-1.47112477]\n",
      " [-1.91150284]\n",
      " [-1.6587218 ]\n",
      " [-1.8107518 ]\n",
      " [-1.99218822]\n",
      " [-2.12432981]]\n",
      "1124 Cost:  4.9798 \n",
      "Prediction:\n",
      " [[-1.65250254]\n",
      " [-1.119349  ]\n",
      " [-1.47103572]\n",
      " [-1.91143274]\n",
      " [-1.65863979]\n",
      " [-1.8106724 ]\n",
      " [-1.99213314]\n",
      " [-2.12427545]]\n",
      "1125 Cost:  4.97944 \n",
      "Prediction:\n",
      " [[-1.65239429]\n",
      " [-1.11924326]\n",
      " [-1.47094691]\n",
      " [-1.91136265]\n",
      " [-1.65855789]\n",
      " [-1.81059313]\n",
      " [-1.99207795]\n",
      " [-2.12422109]]\n",
      "1126 Cost:  4.97908 \n",
      "Prediction:\n",
      " [[-1.65228605]\n",
      " [-1.11913753]\n",
      " [-1.47085798]\n",
      " [-1.91129267]\n",
      " [-1.65847588]\n",
      " [-1.81051373]\n",
      " [-1.99202287]\n",
      " [-2.12416673]]\n",
      "1127 Cost:  4.97872 \n",
      "Prediction:\n",
      " [[-1.65217781]\n",
      " [-1.11903191]\n",
      " [-1.47076893]\n",
      " [-1.91122258]\n",
      " [-1.65839386]\n",
      " [-1.81043434]\n",
      " [-1.99196768]\n",
      " [-2.12411237]]\n",
      "1128 Cost:  4.97836 \n",
      "Prediction:\n",
      " [[-1.65206957]\n",
      " [-1.11892605]\n",
      " [-1.47068   ]\n",
      " [-1.9111526 ]\n",
      " [-1.65831184]\n",
      " [-1.81035495]\n",
      " [-1.9919126 ]\n",
      " [-2.12405777]]\n",
      "1129 Cost:  4.978 \n",
      "Prediction:\n",
      " [[-1.65196121]\n",
      " [-1.11882043]\n",
      " [-1.47059107]\n",
      " [-1.91108251]\n",
      " [-1.65822995]\n",
      " [-1.81027567]\n",
      " [-1.99185729]\n",
      " [-2.12400341]]\n",
      "1130 Cost:  4.97764 \n",
      "Prediction:\n",
      " [[-1.65185297]\n",
      " [-1.11871469]\n",
      " [-1.47050202]\n",
      " [-1.91101241]\n",
      " [-1.65814805]\n",
      " [-1.81019628]\n",
      " [-1.99180222]\n",
      " [-2.12394905]]\n",
      "1131 Cost:  4.97728 \n",
      "Prediction:\n",
      " [[-1.6517446 ]\n",
      " [-1.11860895]\n",
      " [-1.47041309]\n",
      " [-1.91094232]\n",
      " [-1.65806592]\n",
      " [-1.81011689]\n",
      " [-1.99174714]\n",
      " [-2.12389469]]\n",
      "1132 Cost:  4.97692 \n",
      "Prediction:\n",
      " [[-1.65163636]\n",
      " [-1.11850333]\n",
      " [-1.47032428]\n",
      " [-1.91087246]\n",
      " [-1.65798402]\n",
      " [-1.81003749]\n",
      " [-1.99169195]\n",
      " [-2.12384033]]\n",
      "1133 Cost:  4.97656 \n",
      "Prediction:\n",
      " [[-1.65152812]\n",
      " [-1.11839759]\n",
      " [-1.47023523]\n",
      " [-1.91080225]\n",
      " [-1.657902  ]\n",
      " [-1.80995822]\n",
      " [-1.99163675]\n",
      " [-2.12378597]]\n",
      "1134 Cost:  4.9762 \n",
      "Prediction:\n",
      " [[-1.65141988]\n",
      " [-1.11829185]\n",
      " [-1.47014618]\n",
      " [-1.91073227]\n",
      " [-1.65781999]\n",
      " [-1.80987883]\n",
      " [-1.99158168]\n",
      " [-2.12373161]]\n",
      "1135 Cost:  4.97585 \n",
      "Prediction:\n",
      " [[-1.65131164]\n",
      " [-1.11818612]\n",
      " [-1.47005737]\n",
      " [-1.91066217]\n",
      " [-1.65773797]\n",
      " [-1.80979943]\n",
      " [-1.99152648]\n",
      " [-2.12367725]]\n",
      "1136 Cost:  4.97549 \n",
      "Prediction:\n",
      " [[-1.65120339]\n",
      " [-1.11808062]\n",
      " [-1.46996832]\n",
      " [-1.9105922 ]\n",
      " [-1.65765607]\n",
      " [-1.80972016]\n",
      " [-1.99147129]\n",
      " [-2.12362289]]\n",
      "1137 Cost:  4.97513 \n",
      "Prediction:\n",
      " [[-1.65109515]\n",
      " [-1.11797476]\n",
      " [-1.46987939]\n",
      " [-1.91052222]\n",
      " [-1.65757418]\n",
      " [-1.80964088]\n",
      " [-1.99141622]\n",
      " [-2.12356853]]\n",
      "1138 Cost:  4.97477 \n",
      "Prediction:\n",
      " [[-1.65098691]\n",
      " [-1.11786914]\n",
      " [-1.46979046]\n",
      " [-1.91045213]\n",
      " [-1.65749216]\n",
      " [-1.80956149]\n",
      " [-1.99136102]\n",
      " [-2.12351418]]\n",
      "1139 Cost:  4.97441 \n",
      "Prediction:\n",
      " [[-1.65087855]\n",
      " [-1.11776328]\n",
      " [-1.46970153]\n",
      " [-1.91038203]\n",
      " [-1.65741014]\n",
      " [-1.8094821 ]\n",
      " [-1.99130583]\n",
      " [-2.12345982]]\n",
      "1140 Cost:  4.97405 \n",
      "Prediction:\n",
      " [[-1.65077031]\n",
      " [-1.11765766]\n",
      " [-1.46961248]\n",
      " [-1.91031194]\n",
      " [-1.65732813]\n",
      " [-1.8094027 ]\n",
      " [-1.99125075]\n",
      " [-2.12340546]]\n",
      "1141 Cost:  4.97369 \n",
      "Prediction:\n",
      " [[-1.65066206]\n",
      " [-1.11755204]\n",
      " [-1.46952355]\n",
      " [-1.91024196]\n",
      " [-1.65724623]\n",
      " [-1.80932343]\n",
      " [-1.99119556]\n",
      " [-2.1233511 ]]\n",
      "1142 Cost:  4.97333 \n",
      "Prediction:\n",
      " [[-1.65055382]\n",
      " [-1.11744642]\n",
      " [-1.46943474]\n",
      " [-1.91017199]\n",
      " [-1.65716434]\n",
      " [-1.80924404]\n",
      " [-1.99114037]\n",
      " [-2.1232965 ]]\n",
      "1143 Cost:  4.97297 \n",
      "Prediction:\n",
      " [[-1.65044558]\n",
      " [-1.1173408 ]\n",
      " [-1.46934569]\n",
      " [-1.91010189]\n",
      " [-1.65708232]\n",
      " [-1.80916476]\n",
      " [-1.99108529]\n",
      " [-2.12324238]]\n",
      "1144 Cost:  4.97261 \n",
      "Prediction:\n",
      " [[-1.65033722]\n",
      " [-1.11723495]\n",
      " [-1.46925676]\n",
      " [-1.9100318 ]\n",
      " [-1.6570003 ]\n",
      " [-1.80908537]\n",
      " [-1.99103022]\n",
      " [-2.12318802]]\n",
      "1145 Cost:  4.97225 \n",
      "Prediction:\n",
      " [[-1.65022898]\n",
      " [-1.11712945]\n",
      " [-1.46916795]\n",
      " [-1.90996182]\n",
      " [-1.65691829]\n",
      " [-1.80900609]\n",
      " [-1.99097502]\n",
      " [-2.12313366]]\n",
      "1146 Cost:  4.9719 \n",
      "Prediction:\n",
      " [[-1.65012074]\n",
      " [-1.11702383]\n",
      " [-1.46907902]\n",
      " [-1.90989172]\n",
      " [-1.65683651]\n",
      " [-1.8089267 ]\n",
      " [-1.99091983]\n",
      " [-2.1230793 ]]\n",
      "1147 Cost:  4.97154 \n",
      "Prediction:\n",
      " [[-1.65001249]\n",
      " [-1.11691809]\n",
      " [-1.46899009]\n",
      " [-1.90982175]\n",
      " [-1.65675449]\n",
      " [-1.80884731]\n",
      " [-1.99086475]\n",
      " [-2.12302494]]\n",
      "1148 Cost:  4.97118 \n",
      "Prediction:\n",
      " [[-1.64990425]\n",
      " [-1.11681247]\n",
      " [-1.46890116]\n",
      " [-1.90975165]\n",
      " [-1.65667248]\n",
      " [-1.80876803]\n",
      " [-1.99080968]\n",
      " [-2.12297058]]\n",
      "1149 Cost:  4.97082 \n",
      "Prediction:\n",
      " [[-1.64979601]\n",
      " [-1.11670685]\n",
      " [-1.46881223]\n",
      " [-1.90968156]\n",
      " [-1.65659046]\n",
      " [-1.80868876]\n",
      " [-1.99075449]\n",
      " [-2.12291622]]\n",
      "1150 Cost:  4.97046 \n",
      "Prediction:\n",
      " [[-1.64968777]\n",
      " [-1.11660123]\n",
      " [-1.4687233 ]\n",
      " [-1.90961158]\n",
      " [-1.65650856]\n",
      " [-1.80860937]\n",
      " [-1.99069929]\n",
      " [-2.12286186]]\n",
      "1151 Cost:  4.9701 \n",
      "Prediction:\n",
      " [[-1.64957952]\n",
      " [-1.11649561]\n",
      " [-1.46863437]\n",
      " [-1.90954161]\n",
      " [-1.65642667]\n",
      " [-1.80853009]\n",
      " [-1.99064422]\n",
      " [-2.1228075 ]]\n",
      "1152 Cost:  4.96974 \n",
      "Prediction:\n",
      " [[-1.64947128]\n",
      " [-1.11638999]\n",
      " [-1.46854544]\n",
      " [-1.90947151]\n",
      " [-1.65634465]\n",
      " [-1.8084507 ]\n",
      " [-1.99058902]\n",
      " [-2.12275314]]\n",
      "1153 Cost:  4.96938 \n",
      "Prediction:\n",
      " [[-1.64936304]\n",
      " [-1.11628437]\n",
      " [-1.46845651]\n",
      " [-1.90940142]\n",
      " [-1.65626287]\n",
      " [-1.80837142]\n",
      " [-1.99053395]\n",
      " [-2.12269878]]\n",
      "1154 Cost:  4.96902 \n",
      "Prediction:\n",
      " [[-1.6492548 ]\n",
      " [-1.11617875]\n",
      " [-1.46836758]\n",
      " [-1.90933144]\n",
      " [-1.65618086]\n",
      " [-1.80829203]\n",
      " [-1.99047875]\n",
      " [-2.12264442]]\n",
      "1155 Cost:  4.96867 \n",
      "Prediction:\n",
      " [[-1.64914656]\n",
      " [-1.11607313]\n",
      " [-1.46827877]\n",
      " [-1.90926147]\n",
      " [-1.65609884]\n",
      " [-1.80821276]\n",
      " [-1.99042368]\n",
      " [-2.12259007]]\n",
      "1156 Cost:  4.96831 \n",
      "Prediction:\n",
      " [[-1.64903831]\n",
      " [-1.11596751]\n",
      " [-1.46818984]\n",
      " [-1.90919137]\n",
      " [-1.65601695]\n",
      " [-1.80813336]\n",
      " [-1.99036849]\n",
      " [-2.12253571]]\n",
      "1157 Cost:  4.96795 \n",
      "Prediction:\n",
      " [[-1.64893007]\n",
      " [-1.11586177]\n",
      " [-1.46810091]\n",
      " [-1.90912139]\n",
      " [-1.65593505]\n",
      " [-1.80805409]\n",
      " [-1.99031341]\n",
      " [-2.12248135]]\n",
      "1158 Cost:  4.96759 \n",
      "Prediction:\n",
      " [[-1.64882183]\n",
      " [-1.11575627]\n",
      " [-1.46801209]\n",
      " [-1.9090513 ]\n",
      " [-1.65585303]\n",
      " [-1.80797482]\n",
      " [-1.99025822]\n",
      " [-2.12242699]]\n",
      "1159 Cost:  4.96723 \n",
      "Prediction:\n",
      " [[-1.64871359]\n",
      " [-1.11565065]\n",
      " [-1.46792305]\n",
      " [-1.90898132]\n",
      " [-1.65577102]\n",
      " [-1.80789542]\n",
      " [-1.99020314]\n",
      " [-2.12237263]]\n",
      "1160 Cost:  4.96687 \n",
      "Prediction:\n",
      " [[-1.64860535]\n",
      " [-1.11554503]\n",
      " [-1.46783423]\n",
      " [-1.90891123]\n",
      " [-1.65568912]\n",
      " [-1.80781603]\n",
      " [-1.99014795]\n",
      " [-2.12231827]]\n",
      "1161 Cost:  4.96651 \n",
      "Prediction:\n",
      " [[-1.6484971 ]\n",
      " [-1.11543941]\n",
      " [-1.4677453 ]\n",
      " [-1.90884125]\n",
      " [-1.65560722]\n",
      " [-1.80773687]\n",
      " [-1.99009275]\n",
      " [-2.12226415]]\n",
      "1162 Cost:  4.96615 \n",
      "Prediction:\n",
      " [[-1.64838886]\n",
      " [-1.1153338 ]\n",
      " [-1.46765637]\n",
      " [-1.90877128]\n",
      " [-1.65552533]\n",
      " [-1.80765748]\n",
      " [-1.99003768]\n",
      " [-2.12220955]]\n",
      "1163 Cost:  4.9658 \n",
      "Prediction:\n",
      " [[-1.64828086]\n",
      " [-1.1152283 ]\n",
      " [-1.46756768]\n",
      " [-1.9087013 ]\n",
      " [-1.65544343]\n",
      " [-1.80757833]\n",
      " [-1.9899826 ]\n",
      " [-2.12215543]]\n",
      "1164 Cost:  4.96544 \n",
      "Prediction:\n",
      " [[-1.64817262]\n",
      " [-1.1151228 ]\n",
      " [-1.46747875]\n",
      " [-1.90863132]\n",
      " [-1.65536153]\n",
      " [-1.80749893]\n",
      " [-1.98992753]\n",
      " [-2.12210107]]\n",
      "1165 Cost:  4.96508 \n",
      "Prediction:\n",
      " [[-1.64806461]\n",
      " [-1.11501718]\n",
      " [-1.46738994]\n",
      " [-1.90856135]\n",
      " [-1.65527964]\n",
      " [-1.80741978]\n",
      " [-1.98987246]\n",
      " [-2.12204671]]\n",
      "1166 Cost:  4.96472 \n",
      "Prediction:\n",
      " [[-1.64795649]\n",
      " [-1.11491168]\n",
      " [-1.46730113]\n",
      " [-1.90849137]\n",
      " [-1.65519774]\n",
      " [-1.8073405 ]\n",
      " [-1.98981738]\n",
      " [-2.12199235]]\n",
      "1167 Cost:  4.96436 \n",
      "Prediction:\n",
      " [[-1.64784837]\n",
      " [-1.11480618]\n",
      " [-1.4672122 ]\n",
      " [-1.9084214 ]\n",
      " [-1.65511596]\n",
      " [-1.80726123]\n",
      " [-1.98976219]\n",
      " [-2.12193799]]\n",
      "1168 Cost:  4.964 \n",
      "Prediction:\n",
      " [[-1.64774024]\n",
      " [-1.11470056]\n",
      " [-1.46712351]\n",
      " [-1.90835142]\n",
      " [-1.65503407]\n",
      " [-1.80718184]\n",
      " [-1.98970711]\n",
      " [-2.12188363]]\n",
      "1169 Cost:  4.96364 \n",
      "Prediction:\n",
      " [[-1.64763212]\n",
      " [-1.11459517]\n",
      " [-1.46703458]\n",
      " [-1.90828145]\n",
      " [-1.65495217]\n",
      " [-1.80710268]\n",
      " [-1.98965192]\n",
      " [-2.12182927]]\n",
      "1170 Cost:  4.96329 \n",
      "Prediction:\n",
      " [[-1.647524  ]\n",
      " [-1.11448956]\n",
      " [-1.46694577]\n",
      " [-1.90821147]\n",
      " [-1.65487027]\n",
      " [-1.80702341]\n",
      " [-1.98959684]\n",
      " [-2.12177491]]\n",
      "1171 Cost:  4.96293 \n",
      "Prediction:\n",
      " [[-1.64741588]\n",
      " [-1.11438394]\n",
      " [-1.46685696]\n",
      " [-1.90814149]\n",
      " [-1.65478837]\n",
      " [-1.80694413]\n",
      " [-1.98954177]\n",
      " [-2.12172055]]\n",
      "1172 Cost:  4.96257 \n",
      "Prediction:\n",
      " [[-1.64730775]\n",
      " [-1.11427844]\n",
      " [-1.46676803]\n",
      " [-1.90807152]\n",
      " [-1.65470648]\n",
      " [-1.80686486]\n",
      " [-1.98948669]\n",
      " [-2.12166619]]\n",
      "1173 Cost:  4.96221 \n",
      "Prediction:\n",
      " [[-1.64719963]\n",
      " [-1.11417294]\n",
      " [-1.46667933]\n",
      " [-1.90800154]\n",
      " [-1.6546247 ]\n",
      " [-1.80678558]\n",
      " [-1.98943162]\n",
      " [-2.12161183]]\n",
      "1174 Cost:  4.96185 \n",
      "Prediction:\n",
      " [[-1.64709163]\n",
      " [-1.11406744]\n",
      " [-1.4665904 ]\n",
      " [-1.90793157]\n",
      " [-1.65454268]\n",
      " [-1.80670631]\n",
      " [-1.98937643]\n",
      " [-2.12155747]]\n",
      "1175 Cost:  4.9615 \n",
      "Prediction:\n",
      " [[-1.64698339]\n",
      " [-1.11396182]\n",
      " [-1.46650159]\n",
      " [-1.90786171]\n",
      " [-1.65446091]\n",
      " [-1.80662704]\n",
      " [-1.98932135]\n",
      " [-2.12150311]]\n",
      "1176 Cost:  4.96114 \n",
      "Prediction:\n",
      " [[-1.64687538]\n",
      " [-1.11385643]\n",
      " [-1.46641278]\n",
      " [-1.90779161]\n",
      " [-1.65437913]\n",
      " [-1.80654788]\n",
      " [-1.98926616]\n",
      " [-2.12144876]]\n",
      "1177 Cost:  4.96078 \n",
      "Prediction:\n",
      " [[-1.64676726]\n",
      " [-1.11375093]\n",
      " [-1.46632397]\n",
      " [-1.90772164]\n",
      " [-1.65429711]\n",
      " [-1.80646849]\n",
      " [-1.98921108]\n",
      " [-2.12139463]]\n",
      "1178 Cost:  4.96042 \n",
      "Prediction:\n",
      " [[-1.64665914]\n",
      " [-1.11364532]\n",
      " [-1.46623516]\n",
      " [-1.90765166]\n",
      " [-1.65421534]\n",
      " [-1.80638933]\n",
      " [-1.98915601]\n",
      " [-2.12134027]]\n",
      "1179 Cost:  4.96006 \n",
      "Prediction:\n",
      " [[-1.64655113]\n",
      " [-1.11353981]\n",
      " [-1.46614623]\n",
      " [-1.90758181]\n",
      " [-1.65413356]\n",
      " [-1.80631018]\n",
      " [-1.98910093]\n",
      " [-2.12128592]]\n",
      "1180 Cost:  4.9597 \n",
      "Prediction:\n",
      " [[-1.64644313]\n",
      " [-1.11343431]\n",
      " [-1.46605754]\n",
      " [-1.90751171]\n",
      " [-1.65405166]\n",
      " [-1.8062309 ]\n",
      " [-1.98904586]\n",
      " [-2.12123156]]\n",
      "1181 Cost:  4.95935 \n",
      "Prediction:\n",
      " [[-1.64633501]\n",
      " [-1.11332893]\n",
      " [-1.46596873]\n",
      " [-1.90744185]\n",
      " [-1.65396976]\n",
      " [-1.80615163]\n",
      " [-1.98899066]\n",
      " [-2.1211772 ]]\n",
      "1182 Cost:  4.95899 \n",
      "Prediction:\n",
      " [[-1.646227  ]\n",
      " [-1.11322331]\n",
      " [-1.46587992]\n",
      " [-1.90737176]\n",
      " [-1.65388799]\n",
      " [-1.80607235]\n",
      " [-1.98893559]\n",
      " [-2.12112284]]\n",
      "1183 Cost:  4.95863 \n",
      "Prediction:\n",
      " [[-1.64611888]\n",
      " [-1.11311793]\n",
      " [-1.46579123]\n",
      " [-1.9073019 ]\n",
      " [-1.65380609]\n",
      " [-1.80599308]\n",
      " [-1.98888052]\n",
      " [-2.12106848]]\n",
      "1184 Cost:  4.95827 \n",
      "Prediction:\n",
      " [[-1.64601088]\n",
      " [-1.11301255]\n",
      " [-1.46570241]\n",
      " [-1.90723205]\n",
      " [-1.65372431]\n",
      " [-1.80591393]\n",
      " [-1.98882532]\n",
      " [-2.12101412]]\n",
      "1185 Cost:  4.95791 \n",
      "Prediction:\n",
      " [[-1.64590287]\n",
      " [-1.11290693]\n",
      " [-1.4656136 ]\n",
      " [-1.90716207]\n",
      " [-1.65364242]\n",
      " [-1.80583477]\n",
      " [-1.98877025]\n",
      " [-2.12095976]]\n",
      "1186 Cost:  4.95756 \n",
      "Prediction:\n",
      " [[-1.64579487]\n",
      " [-1.11280143]\n",
      " [-1.46552467]\n",
      " [-1.90709209]\n",
      " [-1.65356064]\n",
      " [-1.80575538]\n",
      " [-1.98871517]\n",
      " [-2.1209054 ]]\n",
      "1187 Cost:  4.9572 \n",
      "Prediction:\n",
      " [[-1.64568686]\n",
      " [-1.11269593]\n",
      " [-1.46543598]\n",
      " [-1.90702224]\n",
      " [-1.65347874]\n",
      " [-1.80567622]\n",
      " [-1.9886601 ]\n",
      " [-2.12085104]]\n",
      "1188 Cost:  4.95684 \n",
      "Prediction:\n",
      " [[-1.64557874]\n",
      " [-1.11259055]\n",
      " [-1.46534717]\n",
      " [-1.90695214]\n",
      " [-1.65339684]\n",
      " [-1.80559695]\n",
      " [-1.98860502]\n",
      " [-2.12079668]]\n",
      "1189 Cost:  4.95648 \n",
      "Prediction:\n",
      " [[-1.64547062]\n",
      " [-1.11248493]\n",
      " [-1.46525836]\n",
      " [-1.90688217]\n",
      " [-1.65331507]\n",
      " [-1.80551779]\n",
      " [-1.98854983]\n",
      " [-2.12074232]]\n",
      "1190 Cost:  4.95612 \n",
      "Prediction:\n",
      " [[-1.64536262]\n",
      " [-1.11237955]\n",
      " [-1.46516955]\n",
      " [-1.90681219]\n",
      " [-1.65323317]\n",
      " [-1.80543852]\n",
      " [-1.98849463]\n",
      " [-2.12068796]]\n",
      "1191 Cost:  4.95577 \n",
      "Prediction:\n",
      " [[-1.64525461]\n",
      " [-1.11227417]\n",
      " [-1.46508074]\n",
      " [-1.90674233]\n",
      " [-1.65315127]\n",
      " [-1.80535924]\n",
      " [-1.98843956]\n",
      " [-2.1206336 ]]\n",
      "1192 Cost:  4.95541 \n",
      "Prediction:\n",
      " [[-1.64514661]\n",
      " [-1.11216867]\n",
      " [-1.46499205]\n",
      " [-1.90667248]\n",
      " [-1.6530695 ]\n",
      " [-1.80527997]\n",
      " [-1.98838449]\n",
      " [-2.12057948]]\n",
      "1193 Cost:  4.95505 \n",
      "Prediction:\n",
      " [[-1.6450386 ]\n",
      " [-1.11206317]\n",
      " [-1.46490324]\n",
      " [-1.90660238]\n",
      " [-1.65298772]\n",
      " [-1.80520082]\n",
      " [-1.98832941]\n",
      " [-2.12052512]]\n",
      "1194 Cost:  4.95469 \n",
      "Prediction:\n",
      " [[-1.6449306 ]\n",
      " [-1.11195755]\n",
      " [-1.46481442]\n",
      " [-1.90653253]\n",
      " [-1.65290582]\n",
      " [-1.80512166]\n",
      " [-1.98827434]\n",
      " [-2.12047076]]\n",
      "1195 Cost:  4.95434 \n",
      "Prediction:\n",
      " [[-1.64482248]\n",
      " [-1.11185217]\n",
      " [-1.46472573]\n",
      " [-1.90646243]\n",
      " [-1.65282393]\n",
      " [-1.80504239]\n",
      " [-1.98821926]\n",
      " [-2.1204164 ]]\n",
      "1196 Cost:  4.95398 \n",
      "Prediction:\n",
      " [[-1.64471447]\n",
      " [-1.11174667]\n",
      " [-1.4646368 ]\n",
      " [-1.90639257]\n",
      " [-1.65274227]\n",
      " [-1.80496311]\n",
      " [-1.98816407]\n",
      " [-2.12036204]]\n",
      "1197 Cost:  4.95362 \n",
      "Prediction:\n",
      " [[-1.64460635]\n",
      " [-1.11164117]\n",
      " [-1.46454811]\n",
      " [-1.90632272]\n",
      " [-1.65266037]\n",
      " [-1.80488396]\n",
      " [-1.98810899]\n",
      " [-2.12030768]]\n",
      "1198 Cost:  4.95326 \n",
      "Prediction:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [[-1.64449835]\n",
      " [-1.11153567]\n",
      " [-1.46445918]\n",
      " [-1.90625274]\n",
      " [-1.65257847]\n",
      " [-1.80480468]\n",
      " [-1.98805392]\n",
      " [-2.12025332]]\n",
      "1199 Cost:  4.9529 \n",
      "Prediction:\n",
      " [[-1.64439034]\n",
      " [-1.11143029]\n",
      " [-1.46437049]\n",
      " [-1.90618277]\n",
      " [-1.6524967 ]\n",
      " [-1.80472541]\n",
      " [-1.98799872]\n",
      " [-2.12019897]]\n",
      "1200 Cost:  4.95255 \n",
      "Prediction:\n",
      " [[-1.64428234]\n",
      " [-1.11132479]\n",
      " [-1.4642818 ]\n",
      " [-1.90611279]\n",
      " [-1.6524148 ]\n",
      " [-1.80464625]\n",
      " [-1.98794365]\n",
      " [-2.12014461]]\n",
      "1201 Cost:  4.95219 \n",
      "Prediction:\n",
      " [[-1.64417434]\n",
      " [-1.11121929]\n",
      " [-1.46419287]\n",
      " [-1.90604281]\n",
      " [-1.65233302]\n",
      " [-1.80456698]\n",
      " [-1.98788857]\n",
      " [-2.12009025]]\n",
      "1202 Cost:  4.95183 \n",
      "Prediction:\n",
      " [[-1.64406633]\n",
      " [-1.11111391]\n",
      " [-1.46410406]\n",
      " [-1.90597296]\n",
      " [-1.65225124]\n",
      " [-1.80448771]\n",
      " [-1.9878335 ]\n",
      " [-2.12003589]]\n",
      "1203 Cost:  4.95147 \n",
      "Prediction:\n",
      " [[-1.64395833]\n",
      " [-1.11100841]\n",
      " [-1.46401536]\n",
      " [-1.90590298]\n",
      " [-1.65216935]\n",
      " [-1.80440855]\n",
      " [-1.98777843]\n",
      " [-2.11998153]]\n",
      "1204 Cost:  4.95112 \n",
      "Prediction:\n",
      " [[-1.64385021]\n",
      " [-1.11090279]\n",
      " [-1.46392655]\n",
      " [-1.90583301]\n",
      " [-1.65208757]\n",
      " [-1.8043294 ]\n",
      " [-1.98772323]\n",
      " [-2.11992741]]\n",
      "1205 Cost:  4.95076 \n",
      "Prediction:\n",
      " [[-1.6437422 ]\n",
      " [-1.11079741]\n",
      " [-1.46383774]\n",
      " [-1.90576303]\n",
      " [-1.65200567]\n",
      " [-1.80425012]\n",
      " [-1.98766816]\n",
      " [-2.11987305]]\n",
      "1206 Cost:  4.9504 \n",
      "Prediction:\n",
      " [[-1.6436342 ]\n",
      " [-1.11069202]\n",
      " [-1.46374893]\n",
      " [-1.90569317]\n",
      " [-1.65192389]\n",
      " [-1.80417085]\n",
      " [-1.98761296]\n",
      " [-2.11981869]]\n",
      "1207 Cost:  4.95004 \n",
      "Prediction:\n",
      " [[-1.64352608]\n",
      " [-1.1105864 ]\n",
      " [-1.46366012]\n",
      " [-1.9056232 ]\n",
      " [-1.651842  ]\n",
      " [-1.80409169]\n",
      " [-1.98755789]\n",
      " [-2.11976433]]\n",
      "1208 Cost:  4.94969 \n",
      "Prediction:\n",
      " [[-1.64341807]\n",
      " [-1.11048102]\n",
      " [-1.46357131]\n",
      " [-1.90555322]\n",
      " [-1.65176022]\n",
      " [-1.80401242]\n",
      " [-1.98750281]\n",
      " [-2.11970997]]\n",
      "1209 Cost:  4.94933 \n",
      "Prediction:\n",
      " [[-1.64331007]\n",
      " [-1.11037552]\n",
      " [-1.46348262]\n",
      " [-1.90548325]\n",
      " [-1.65167832]\n",
      " [-1.80393326]\n",
      " [-1.98744774]\n",
      " [-2.11965561]]\n",
      "1210 Cost:  4.94897 \n",
      "Prediction:\n",
      " [[-1.64320207]\n",
      " [-1.11027014]\n",
      " [-1.46339381]\n",
      " [-1.90541339]\n",
      " [-1.65159655]\n",
      " [-1.80385399]\n",
      " [-1.98739266]\n",
      " [-2.11960125]]\n",
      "1211 Cost:  4.94861 \n",
      "Prediction:\n",
      " [[-1.64309406]\n",
      " [-1.11016464]\n",
      " [-1.463305  ]\n",
      " [-1.90534341]\n",
      " [-1.65151465]\n",
      " [-1.80377483]\n",
      " [-1.98733759]\n",
      " [-2.11954689]]\n",
      "1212 Cost:  4.94825 \n",
      "Prediction:\n",
      " [[-1.64298606]\n",
      " [-1.11005902]\n",
      " [-1.4632163 ]\n",
      " [-1.90527344]\n",
      " [-1.65143287]\n",
      " [-1.80369556]\n",
      " [-1.9872824 ]\n",
      " [-2.11949253]]\n",
      "1213 Cost:  4.9479 \n",
      "Prediction:\n",
      " [[-1.64287806]\n",
      " [-1.10995364]\n",
      " [-1.46312749]\n",
      " [-1.90520346]\n",
      " [-1.65135098]\n",
      " [-1.80361629]\n",
      " [-1.98722732]\n",
      " [-2.11943817]]\n",
      "1214 Cost:  4.94754 \n",
      "Prediction:\n",
      " [[-1.64277005]\n",
      " [-1.10984826]\n",
      " [-1.46303868]\n",
      " [-1.90513361]\n",
      " [-1.6512692 ]\n",
      " [-1.80353713]\n",
      " [-1.98717225]\n",
      " [-2.11938381]]\n",
      "1215 Cost:  4.94718 \n",
      "Prediction:\n",
      " [[-1.64266205]\n",
      " [-1.10974276]\n",
      " [-1.46294999]\n",
      " [-1.90506363]\n",
      " [-1.6511873 ]\n",
      " [-1.80345798]\n",
      " [-1.98711705]\n",
      " [-2.11932945]]\n",
      "1216 Cost:  4.94683 \n",
      "Prediction:\n",
      " [[-1.64255404]\n",
      " [-1.10963726]\n",
      " [-1.46286106]\n",
      " [-1.90499365]\n",
      " [-1.65110552]\n",
      " [-1.8033787 ]\n",
      " [-1.98706198]\n",
      " [-2.11927509]]\n",
      "1217 Cost:  4.94647 \n",
      "Prediction:\n",
      " [[-1.64244604]\n",
      " [-1.10953188]\n",
      " [-1.46277237]\n",
      " [-1.90492368]\n",
      " [-1.65102363]\n",
      " [-1.80329943]\n",
      " [-1.9870069 ]\n",
      " [-2.11922073]]\n",
      "1218 Cost:  4.94611 \n",
      "Prediction:\n",
      " [[-1.64233792]\n",
      " [-1.10942638]\n",
      " [-1.46268356]\n",
      " [-1.90485382]\n",
      " [-1.65094185]\n",
      " [-1.80322027]\n",
      " [-1.98695183]\n",
      " [-2.11916637]]\n",
      "1219 Cost:  4.94575 \n",
      "Prediction:\n",
      " [[-1.64222991]\n",
      " [-1.10932088]\n",
      " [-1.46259475]\n",
      " [-1.90478384]\n",
      " [-1.65086007]\n",
      " [-1.803141  ]\n",
      " [-1.98689675]\n",
      " [-2.11911225]]\n",
      "1220 Cost:  4.94539 \n",
      "Prediction:\n",
      " [[-1.64212191]\n",
      " [-1.10921538]\n",
      " [-1.46250606]\n",
      " [-1.90471387]\n",
      " [-1.65077829]\n",
      " [-1.80306172]\n",
      " [-1.98684156]\n",
      " [-2.11905789]]\n",
      "1221 Cost:  4.94504 \n",
      "Prediction:\n",
      " [[-1.64201391]\n",
      " [-1.10911   ]\n",
      " [-1.46241724]\n",
      " [-1.90464401]\n",
      " [-1.6506964 ]\n",
      " [-1.80298257]\n",
      " [-1.98678648]\n",
      " [-2.11900353]]\n",
      "1222 Cost:  4.94468 \n",
      "Prediction:\n",
      " [[-1.6419059 ]\n",
      " [-1.1090045 ]\n",
      " [-1.46232843]\n",
      " [-1.90457404]\n",
      " [-1.6506145 ]\n",
      " [-1.80290341]\n",
      " [-1.98673129]\n",
      " [-2.11894917]]\n",
      "1223 Cost:  4.94432 \n",
      "Prediction:\n",
      " [[-1.6417979 ]\n",
      " [-1.10889912]\n",
      " [-1.46223974]\n",
      " [-1.90450406]\n",
      " [-1.65053272]\n",
      " [-1.80282414]\n",
      " [-1.98667622]\n",
      " [-2.11889482]]\n",
      "1224 Cost:  4.94396 \n",
      "Prediction:\n",
      " [[-1.6416899 ]\n",
      " [-1.1087935 ]\n",
      " [-1.46215093]\n",
      " [-1.90443408]\n",
      " [-1.65045083]\n",
      " [-1.80274487]\n",
      " [-1.98662114]\n",
      " [-2.11884046]]\n",
      "1225 Cost:  4.94361 \n",
      "Prediction:\n",
      " [[-1.64158189]\n",
      " [-1.10868812]\n",
      " [-1.46206212]\n",
      " [-1.90436423]\n",
      " [-1.65036905]\n",
      " [-1.80266571]\n",
      " [-1.98656607]\n",
      " [-2.1187861 ]]\n",
      "1226 Cost:  4.94325 \n",
      "Prediction:\n",
      " [[-1.64147389]\n",
      " [-1.10858274]\n",
      " [-1.46197343]\n",
      " [-1.90429425]\n",
      " [-1.65028739]\n",
      " [-1.80258656]\n",
      " [-1.98651099]\n",
      " [-2.11873174]]\n",
      "1227 Cost:  4.94289 \n",
      "Prediction:\n",
      " [[-1.64136589]\n",
      " [-1.10847712]\n",
      " [-1.4618845 ]\n",
      " [-1.90422428]\n",
      " [-1.65020549]\n",
      " [-1.8025074 ]\n",
      " [-1.98645592]\n",
      " [-2.11867738]]\n",
      "1228 Cost:  4.94254 \n",
      "Prediction:\n",
      " [[-1.64125788]\n",
      " [-1.10837173]\n",
      " [-1.46179581]\n",
      " [-1.90415442]\n",
      " [-1.6501236 ]\n",
      " [-1.80242801]\n",
      " [-1.98640084]\n",
      " [-2.11862302]]\n",
      "1229 Cost:  4.94218 \n",
      "Prediction:\n",
      " [[-1.64114988]\n",
      " [-1.10826635]\n",
      " [-1.461707  ]\n",
      " [-1.90408444]\n",
      " [-1.65004182]\n",
      " [-1.80234885]\n",
      " [-1.98634565]\n",
      " [-2.1185689 ]]\n",
      "1230 Cost:  4.94182 \n",
      "Prediction:\n",
      " [[-1.64104187]\n",
      " [-1.10816085]\n",
      " [-1.46161819]\n",
      " [-1.90401447]\n",
      " [-1.64995992]\n",
      " [-1.8022697 ]\n",
      " [-1.98629057]\n",
      " [-2.11851454]]\n",
      "1231 Cost:  4.94146 \n",
      "Prediction:\n",
      " [[-1.64093387]\n",
      " [-1.10805535]\n",
      " [-1.46152949]\n",
      " [-1.90394461]\n",
      " [-1.64987814]\n",
      " [-1.80219054]\n",
      " [-1.98623538]\n",
      " [-2.11846018]]\n",
      "1232 Cost:  4.94111 \n",
      "Prediction:\n",
      " [[-1.64082587]\n",
      " [-1.10794997]\n",
      " [-1.4614408 ]\n",
      " [-1.90387464]\n",
      " [-1.64979637]\n",
      " [-1.80211127]\n",
      " [-1.98618031]\n",
      " [-2.11840582]]\n",
      "1233 Cost:  4.94075 \n",
      "Prediction:\n",
      " [[-1.64071786]\n",
      " [-1.10784459]\n",
      " [-1.46135187]\n",
      " [-1.90380466]\n",
      " [-1.64971447]\n",
      " [-1.80203199]\n",
      " [-1.98612523]\n",
      " [-2.11835146]]\n",
      "1234 Cost:  4.94039 \n",
      "Prediction:\n",
      " [[-1.64060986]\n",
      " [-1.10773897]\n",
      " [-1.46126318]\n",
      " [-1.90373468]\n",
      " [-1.64963269]\n",
      " [-1.80195284]\n",
      " [-1.98607016]\n",
      " [-2.1182971 ]]\n",
      "1235 Cost:  4.94004 \n",
      "Prediction:\n",
      " [[-1.64050186]\n",
      " [-1.10763359]\n",
      " [-1.46117437]\n",
      " [-1.90366483]\n",
      " [-1.64955091]\n",
      " [-1.80187368]\n",
      " [-1.98601508]\n",
      " [-2.11824274]]\n",
      "1236 Cost:  4.93968 \n",
      "Prediction:\n",
      " [[-1.64039385]\n",
      " [-1.10752821]\n",
      " [-1.46108568]\n",
      " [-1.90359497]\n",
      " [-1.64946902]\n",
      " [-1.80179441]\n",
      " [-1.98596001]\n",
      " [-2.11818838]]\n",
      "1237 Cost:  4.93932 \n",
      "Prediction:\n",
      " [[-1.64028585]\n",
      " [-1.10742283]\n",
      " [-1.46099687]\n",
      " [-1.90352499]\n",
      " [-1.64938724]\n",
      " [-1.80171514]\n",
      " [-1.98590493]\n",
      " [-2.11813402]]\n",
      "1238 Cost:  4.93896 \n",
      "Prediction:\n",
      " [[-1.64017785]\n",
      " [-1.10731733]\n",
      " [-1.46090817]\n",
      " [-1.90345502]\n",
      " [-1.64930546]\n",
      " [-1.80163598]\n",
      " [-1.98584974]\n",
      " [-2.11807966]]\n",
      "1239 Cost:  4.93861 \n",
      "Prediction:\n",
      " [[-1.64006984]\n",
      " [-1.10721195]\n",
      " [-1.46081936]\n",
      " [-1.90338516]\n",
      " [-1.64922357]\n",
      " [-1.80155683]\n",
      " [-1.98579466]\n",
      " [-2.11802554]]\n",
      "1240 Cost:  4.93825 \n",
      "Prediction:\n",
      " [[-1.63996184]\n",
      " [-1.10710669]\n",
      " [-1.46073067]\n",
      " [-1.90331519]\n",
      " [-1.64914179]\n",
      " [-1.80147767]\n",
      " [-1.98573959]\n",
      " [-2.11797118]]\n",
      "1241 Cost:  4.93789 \n",
      "Prediction:\n",
      " [[-1.63985384]\n",
      " [-1.10700119]\n",
      " [-1.46064186]\n",
      " [-1.90324521]\n",
      " [-1.64906001]\n",
      " [-1.80139852]\n",
      " [-1.98568451]\n",
      " [-2.11791682]]\n",
      "1242 Cost:  4.93754 \n",
      "Prediction:\n",
      " [[-1.63974595]\n",
      " [-1.10689569]\n",
      " [-1.46055317]\n",
      " [-1.90317535]\n",
      " [-1.64897823]\n",
      " [-1.80131924]\n",
      " [-1.98562944]\n",
      " [-2.11786246]]\n",
      "1243 Cost:  4.93718 \n",
      "Prediction:\n",
      " [[-1.63963795]\n",
      " [-1.1067903 ]\n",
      " [-1.46046448]\n",
      " [-1.90310538]\n",
      " [-1.64889646]\n",
      " [-1.80123997]\n",
      " [-1.98557436]\n",
      " [-2.1178081 ]]\n",
      "1244 Cost:  4.93682 \n",
      "Prediction:\n",
      " [[-1.63952994]\n",
      " [-1.10668504]\n",
      " [-1.46037579]\n",
      " [-1.9030354 ]\n",
      " [-1.64881468]\n",
      " [-1.80116081]\n",
      " [-1.98551917]\n",
      " [-2.11775398]]\n",
      "1245 Cost:  4.93646 \n",
      "Prediction:\n",
      " [[-1.63942194]\n",
      " [-1.10657966]\n",
      " [-1.46028697]\n",
      " [-1.90296555]\n",
      " [-1.64873278]\n",
      " [-1.80108166]\n",
      " [-1.9854641 ]\n",
      " [-2.11769962]]\n",
      "1246 Cost:  4.93611 \n",
      "Prediction:\n",
      " [[-1.63931394]\n",
      " [-1.10647416]\n",
      " [-1.46019816]\n",
      " [-1.90289569]\n",
      " [-1.648651  ]\n",
      " [-1.8010025 ]\n",
      " [-1.98540902]\n",
      " [-2.11764526]]\n",
      "1247 Cost:  4.93575 \n",
      "Prediction:\n",
      " [[-1.63920593]\n",
      " [-1.10636902]\n",
      " [-1.46010947]\n",
      " [-1.90282559]\n",
      " [-1.64856923]\n",
      " [-1.80092335]\n",
      " [-1.98535395]\n",
      " [-2.1175909 ]]\n",
      "1248 Cost:  4.93539 \n",
      "Prediction:\n",
      " [[-1.63909793]\n",
      " [-1.10626352]\n",
      " [-1.46002078]\n",
      " [-1.90275574]\n",
      " [-1.64848745]\n",
      " [-1.80084407]\n",
      " [-1.98529887]\n",
      " [-2.11753654]]\n",
      "1249 Cost:  4.93504 \n",
      "Prediction:\n",
      " [[-1.63898993]\n",
      " [-1.10615802]\n",
      " [-1.45993209]\n",
      " [-1.90268576]\n",
      " [-1.64840567]\n",
      " [-1.80076492]\n",
      " [-1.9852438 ]\n",
      " [-2.11748242]]\n",
      "1250 Cost:  4.93468 \n",
      "Prediction:\n",
      " [[-1.63888192]\n",
      " [-1.10605264]\n",
      " [-1.45984328]\n",
      " [-1.9026159 ]\n",
      " [-1.64832389]\n",
      " [-1.80068576]\n",
      " [-1.98518872]\n",
      " [-2.11742806]]\n",
      "1251 Cost:  4.93432 \n",
      "Prediction:\n",
      " [[-1.63877392]\n",
      " [-1.10594738]\n",
      " [-1.45975459]\n",
      " [-1.90254593]\n",
      " [-1.648242  ]\n",
      " [-1.80060649]\n",
      " [-1.98513365]\n",
      " [-2.1173737 ]]\n",
      "1252 Cost:  4.93397 \n",
      "Prediction:\n",
      " [[-1.63866603]\n",
      " [-1.10584211]\n",
      " [-1.45966589]\n",
      " [-1.90247607]\n",
      " [-1.64816034]\n",
      " [-1.80052733]\n",
      " [-1.98507857]\n",
      " [-2.11731935]]\n",
      "1253 Cost:  4.93361 \n",
      "Prediction:\n",
      " [[-1.63855815]\n",
      " [-1.10573661]\n",
      " [-1.4595772 ]\n",
      " [-1.9024061 ]\n",
      " [-1.64807856]\n",
      " [-1.80044818]\n",
      " [-1.9850235 ]\n",
      " [-2.11726522]]\n",
      "1254 Cost:  4.93325 \n",
      "Prediction:\n",
      " [[-1.63845015]\n",
      " [-1.10563123]\n",
      " [-1.45948851]\n",
      " [-1.90233624]\n",
      " [-1.64799666]\n",
      " [-1.80036914]\n",
      " [-1.98496842]\n",
      " [-2.11721087]]\n",
      "1255 Cost:  4.9329 \n",
      "Prediction:\n",
      " [[-1.63834226]\n",
      " [-1.10552597]\n",
      " [-1.45939982]\n",
      " [-1.90226626]\n",
      " [-1.64791512]\n",
      " [-1.80028999]\n",
      " [-1.98491335]\n",
      " [-2.11715651]]\n",
      "1256 Cost:  4.93254 \n",
      "Prediction:\n",
      " [[-1.63823438]\n",
      " [-1.10542059]\n",
      " [-1.45931113]\n",
      " [-1.90219641]\n",
      " [-1.64783323]\n",
      " [-1.80021071]\n",
      " [-1.98485827]\n",
      " [-2.11710215]]\n",
      "1257 Cost:  4.93218 \n",
      "Prediction:\n",
      " [[-1.63812637]\n",
      " [-1.10531521]\n",
      " [-1.45922244]\n",
      " [-1.90212655]\n",
      " [-1.64775145]\n",
      " [-1.80013156]\n",
      " [-1.98480308]\n",
      " [-2.11704779]]\n",
      "1258 Cost:  4.93183 \n",
      "Prediction:\n",
      " [[-1.63801849]\n",
      " [-1.10521007]\n",
      " [-1.45913374]\n",
      " [-1.90205657]\n",
      " [-1.64766967]\n",
      " [-1.8000524 ]\n",
      " [-1.98474801]\n",
      " [-2.11699367]]\n",
      "1259 Cost:  4.93147 \n",
      "Prediction:\n",
      " [[-1.6379106 ]\n",
      " [-1.10510468]\n",
      " [-1.45904493]\n",
      " [-1.90198672]\n",
      " [-1.6475879 ]\n",
      " [-1.79997325]\n",
      " [-1.98469293]\n",
      " [-2.11693931]]\n",
      "1260 Cost:  4.93111 \n",
      "Prediction:\n",
      " [[-1.6378026 ]\n",
      " [-1.1049993 ]\n",
      " [-1.45895624]\n",
      " [-1.90191686]\n",
      " [-1.64750612]\n",
      " [-1.79989409]\n",
      " [-1.98463786]\n",
      " [-2.11688495]]\n",
      "1261 Cost:  4.93076 \n",
      "Prediction:\n",
      " [[-1.63769484]\n",
      " [-1.10489392]\n",
      " [-1.45886755]\n",
      " [-1.90184689]\n",
      " [-1.64742446]\n",
      " [-1.79981494]\n",
      " [-1.98458266]\n",
      " [-2.11683059]]\n",
      "1262 Cost:  4.9304 \n",
      "Prediction:\n",
      " [[-1.63758683]\n",
      " [-1.10478866]\n",
      " [-1.45877886]\n",
      " [-1.90177703]\n",
      " [-1.64734256]\n",
      " [-1.79973578]\n",
      " [-1.98452759]\n",
      " [-2.11677647]]\n",
      "1263 Cost:  4.93004 \n",
      "Prediction:\n",
      " [[-1.63747895]\n",
      " [-1.10468328]\n",
      " [-1.45869017]\n",
      " [-1.90170705]\n",
      " [-1.6472609 ]\n",
      " [-1.79965663]\n",
      " [-1.98447251]\n",
      " [-2.11672211]]\n",
      "1264 Cost:  4.92969 \n",
      "Prediction:\n",
      " [[-1.63737106]\n",
      " [-1.10457802]\n",
      " [-1.45860147]\n",
      " [-1.9016372 ]\n",
      " [-1.64717913]\n",
      " [-1.79957747]\n",
      " [-1.98441744]\n",
      " [-2.11666775]]\n",
      "1265 Cost:  4.92933 \n",
      "Prediction:\n",
      " [[-1.63726306]\n",
      " [-1.10447264]\n",
      " [-1.45851278]\n",
      " [-1.90156722]\n",
      " [-1.64709735]\n",
      " [-1.79949832]\n",
      " [-1.98436236]\n",
      " [-2.11661339]]\n",
      "1266 Cost:  4.92897 \n",
      "Prediction:\n",
      " [[-1.63715541]\n",
      " [-1.10436749]\n",
      " [-1.45842433]\n",
      " [-1.9014976 ]\n",
      " [-1.64701581]\n",
      " [-1.7994194 ]\n",
      " [-1.98430753]\n",
      " [-2.11655951]]\n",
      "1267 Cost:  4.92862 \n",
      "Prediction:\n",
      " [[-1.63704777]\n",
      " [-1.10426247]\n",
      " [-1.45833588]\n",
      " [-1.90142798]\n",
      " [-1.64693427]\n",
      " [-1.79934049]\n",
      " [-1.98425269]\n",
      " [-2.11650538]]\n",
      "1268 Cost:  4.92826 \n",
      "Prediction:\n",
      " [[-1.63694   ]\n",
      " [-1.10415721]\n",
      " [-1.45824742]\n",
      " [-1.90135837]\n",
      " [-1.64685273]\n",
      " [-1.79926157]\n",
      " [-1.98419785]\n",
      " [-2.11645126]]\n",
      "1269 Cost:  4.92791 \n",
      "Prediction:\n",
      " [[-1.63683248]\n",
      " [-1.10405219]\n",
      " [-1.45815897]\n",
      " [-1.90128863]\n",
      " [-1.64677119]\n",
      " [-1.79918265]\n",
      " [-1.98414302]\n",
      " [-2.11639714]]\n",
      "1270 Cost:  4.92755 \n",
      "Prediction:\n",
      " [[-1.63672471]\n",
      " [-1.10394716]\n",
      " [-1.45807052]\n",
      " [-1.90121901]\n",
      " [-1.64668965]\n",
      " [-1.79910374]\n",
      " [-1.98408818]\n",
      " [-2.11634302]]\n",
      "1271 Cost:  4.9272 \n",
      "Prediction:\n",
      " [[-1.63661706]\n",
      " [-1.10384202]\n",
      " [-1.45798206]\n",
      " [-1.90114927]\n",
      " [-1.64660811]\n",
      " [-1.79902482]\n",
      " [-1.98403335]\n",
      " [-2.11628914]]\n",
      "1272 Cost:  4.92684 \n",
      "Prediction:\n",
      " [[-1.63650942]\n",
      " [-1.10373688]\n",
      " [-1.45789361]\n",
      " [-1.90107965]\n",
      " [-1.64652669]\n",
      " [-1.7989459 ]\n",
      " [-1.98397851]\n",
      " [-2.11623502]]\n",
      "1273 Cost:  4.92649 \n",
      "Prediction:\n",
      " [[-1.63640165]\n",
      " [-1.10363197]\n",
      " [-1.45780516]\n",
      " [-1.90101004]\n",
      " [-1.64644516]\n",
      " [-1.79886699]\n",
      " [-1.98392367]\n",
      " [-2.1161809 ]]\n",
      "1274 Cost:  4.92613 \n",
      "Prediction:\n",
      " [[-1.63629413]\n",
      " [-1.10352683]\n",
      " [-1.4577167 ]\n",
      " [-1.9009403 ]\n",
      " [-1.64636362]\n",
      " [-1.79878807]\n",
      " [-1.98386884]\n",
      " [-2.11612678]]\n",
      "1275 Cost:  4.92578 \n",
      "Prediction:\n",
      " [[-1.63618636]\n",
      " [-1.10342169]\n",
      " [-1.45762825]\n",
      " [-1.90087068]\n",
      " [-1.64628208]\n",
      " [-1.79870915]\n",
      " [-1.983814  ]\n",
      " [-2.11607289]]\n",
      "1276 Cost:  4.92542 \n",
      "Prediction:\n",
      " [[-1.63607872]\n",
      " [-1.10331655]\n",
      " [-1.4575398 ]\n",
      " [-1.90080094]\n",
      " [-1.64620054]\n",
      " [-1.79863024]\n",
      " [-1.98375916]\n",
      " [-2.11601877]]\n",
      "1277 Cost:  4.92507 \n",
      "Prediction:\n",
      " [[-1.63597107]\n",
      " [-1.10321164]\n",
      " [-1.45745134]\n",
      " [-1.90073133]\n",
      " [-1.64611912]\n",
      " [-1.79855144]\n",
      " [-1.98370421]\n",
      " [-2.11596465]]\n",
      "1278 Cost:  4.92471 \n",
      "Prediction:\n",
      " [[-1.6358633 ]\n",
      " [-1.1031065 ]\n",
      " [-1.45736289]\n",
      " [-1.90066171]\n",
      " [-1.64603758]\n",
      " [-1.79847252]\n",
      " [-1.98364937]\n",
      " [-2.11591053]]\n",
      "1279 Cost:  4.92436 \n",
      "Prediction:\n",
      " [[-1.63575578]\n",
      " [-1.10300136]\n",
      " [-1.45727444]\n",
      " [-1.90059209]\n",
      " [-1.64595604]\n",
      " [-1.79839349]\n",
      " [-1.98359454]\n",
      " [-2.11585665]]\n",
      "1280 Cost:  4.924 \n",
      "Prediction:\n",
      " [[-1.63564801]\n",
      " [-1.10289621]\n",
      " [-1.4571861 ]\n",
      " [-1.90052235]\n",
      " [-1.6458745 ]\n",
      " [-1.79831469]\n",
      " [-1.9835397 ]\n",
      " [-2.11580253]]\n",
      "1281 Cost:  4.92364 \n",
      "Prediction:\n",
      " [[-1.63554037]\n",
      " [-1.10279131]\n",
      " [-1.45709753]\n",
      " [-1.90045261]\n",
      " [-1.64579296]\n",
      " [-1.79823577]\n",
      " [-1.98348486]\n",
      " [-2.11574841]]\n",
      "1282 Cost:  4.92329 \n",
      "Prediction:\n",
      " [[-1.63543272]\n",
      " [-1.10268617]\n",
      " [-1.4570092 ]\n",
      " [-1.900383  ]\n",
      " [-1.64571142]\n",
      " [-1.79815686]\n",
      " [-1.98342991]\n",
      " [-2.11569428]]\n",
      "1283 Cost:  4.92293 \n",
      "Prediction:\n",
      " [[-1.63532507]\n",
      " [-1.10258102]\n",
      " [-1.45692074]\n",
      " [-1.90031338]\n",
      " [-1.64562988]\n",
      " [-1.79807794]\n",
      " [-1.98337519]\n",
      " [-2.11564016]]\n",
      "1284 Cost:  4.92258 \n",
      "Prediction:\n",
      " [[-1.63521743]\n",
      " [-1.10247588]\n",
      " [-1.45683229]\n",
      " [-1.90024376]\n",
      " [-1.64554846]\n",
      " [-1.79799902]\n",
      " [-1.98332036]\n",
      " [-2.11558628]]\n",
      "1285 Cost:  4.92222 \n",
      "Prediction:\n",
      " [[-1.63510978]\n",
      " [-1.10237098]\n",
      " [-1.45674384]\n",
      " [-1.90017414]\n",
      " [-1.64546692]\n",
      " [-1.79792011]\n",
      " [-1.9832654 ]\n",
      " [-2.11553216]]\n",
      "1286 Cost:  4.92187 \n",
      "Prediction:\n",
      " [[-1.63500214]\n",
      " [-1.10226583]\n",
      " [-1.45665538]\n",
      " [-1.9001044 ]\n",
      " [-1.64538538]\n",
      " [-1.79784119]\n",
      " [-1.98321056]\n",
      " [-2.11547804]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1287 Cost:  4.92151 \n",
      "Prediction:\n",
      " [[-1.63489437]\n",
      " [-1.10216069]\n",
      " [-1.45656693]\n",
      " [-1.90003479]\n",
      " [-1.64530385]\n",
      " [-1.79776239]\n",
      " [-1.98315573]\n",
      " [-2.11542392]]\n",
      "1288 Cost:  4.92116 \n",
      "Prediction:\n",
      " [[-1.63478684]\n",
      " [-1.10205567]\n",
      " [-1.45647848]\n",
      " [-1.89996505]\n",
      " [-1.64522231]\n",
      " [-1.79768348]\n",
      " [-1.98310089]\n",
      " [-2.11537004]]\n",
      "1289 Cost:  4.9208 \n",
      "Prediction:\n",
      " [[-1.63467908]\n",
      " [-1.10195065]\n",
      " [-1.4563899 ]\n",
      " [-1.89989543]\n",
      " [-1.64514089]\n",
      " [-1.79760456]\n",
      " [-1.98304605]\n",
      " [-2.11531591]]\n",
      "1290 Cost:  4.92045 \n",
      "Prediction:\n",
      " [[-1.63457155]\n",
      " [-1.1018455 ]\n",
      " [-1.45630157]\n",
      " [-1.89982581]\n",
      " [-1.64505935]\n",
      " [-1.79752564]\n",
      " [-1.98299122]\n",
      " [-2.11526179]]\n",
      "1291 Cost:  4.92009 \n",
      "Prediction:\n",
      " [[-1.63446379]\n",
      " [-1.10174036]\n",
      " [-1.45621312]\n",
      " [-1.89975619]\n",
      " [-1.64497781]\n",
      " [-1.79744673]\n",
      " [-1.98293638]\n",
      " [-2.11520767]]\n",
      "1292 Cost:  4.91974 \n",
      "Prediction:\n",
      " [[-1.63435626]\n",
      " [-1.10163534]\n",
      " [-1.45612478]\n",
      " [-1.89968657]\n",
      " [-1.64489627]\n",
      " [-1.79736781]\n",
      " [-1.98288155]\n",
      " [-2.11515379]]\n",
      "1293 Cost:  4.91938 \n",
      "Prediction:\n",
      " [[-1.63424873]\n",
      " [-1.10153031]\n",
      " [-1.45603633]\n",
      " [-1.89961696]\n",
      " [-1.64481497]\n",
      " [-1.79728901]\n",
      " [-1.98282671]\n",
      " [-2.11509967]]\n",
      "1294 Cost:  4.91903 \n",
      "Prediction:\n",
      " [[-1.63414121]\n",
      " [-1.10142541]\n",
      " [-1.45594811]\n",
      " [-1.89954734]\n",
      " [-1.64473343]\n",
      " [-1.7972101 ]\n",
      " [-1.98277187]\n",
      " [-2.11504555]]\n",
      "1295 Cost:  4.91867 \n",
      "Prediction:\n",
      " [[-1.63403368]\n",
      " [-1.10132027]\n",
      " [-1.45585966]\n",
      " [-1.89947772]\n",
      " [-1.64465213]\n",
      " [-1.7971313 ]\n",
      " [-1.98271704]\n",
      " [-2.11499143]]\n",
      "1296 Cost:  4.91832 \n",
      "Prediction:\n",
      " [[-1.63392615]\n",
      " [-1.10121536]\n",
      " [-1.45577133]\n",
      " [-1.8994081 ]\n",
      " [-1.64457059]\n",
      " [-1.79705238]\n",
      " [-1.98266232]\n",
      " [-2.11493731]]\n",
      "1297 Cost:  4.91796 \n",
      "Prediction:\n",
      " [[-1.63381863]\n",
      " [-1.10111034]\n",
      " [-1.45568299]\n",
      " [-1.89933848]\n",
      " [-1.64448917]\n",
      " [-1.79697371]\n",
      " [-1.98260748]\n",
      " [-2.11488342]]\n",
      "1298 Cost:  4.91761 \n",
      "Prediction:\n",
      " [[-1.6337111 ]\n",
      " [-1.10100543]\n",
      " [-1.45559454]\n",
      " [-1.89926887]\n",
      " [-1.64440775]\n",
      " [-1.79689479]\n",
      " [-1.98255265]\n",
      " [-2.1148293 ]]\n",
      "1299 Cost:  4.91726 \n",
      "Prediction:\n",
      " [[-1.63360357]\n",
      " [-1.10090041]\n",
      " [-1.45550621]\n",
      " [-1.89919925]\n",
      " [-1.64432633]\n",
      " [-1.79681587]\n",
      " [-1.98249781]\n",
      " [-2.11477518]]\n",
      "1300 Cost:  4.9169 \n",
      "Prediction:\n",
      " [[-1.63349605]\n",
      " [-1.10079551]\n",
      " [-1.45541775]\n",
      " [-1.89912963]\n",
      " [-1.64424491]\n",
      " [-1.79673707]\n",
      " [-1.98244309]\n",
      " [-2.11472106]]\n",
      "1301 Cost:  4.91655 \n",
      "Prediction:\n",
      " [[-1.63338852]\n",
      " [-1.10069036]\n",
      " [-1.45532942]\n",
      " [-1.89906001]\n",
      " [-1.64416337]\n",
      " [-1.79665828]\n",
      " [-1.98238826]\n",
      " [-2.11466694]]\n",
      "1302 Cost:  4.91619 \n",
      "Prediction:\n",
      " [[-1.63328099]\n",
      " [-1.10058546]\n",
      " [-1.4552412 ]\n",
      " [-1.89899039]\n",
      " [-1.64408207]\n",
      " [-1.79657936]\n",
      " [-1.98233342]\n",
      " [-2.11461306]]\n",
      "1303 Cost:  4.91584 \n",
      "Prediction:\n",
      " [[-1.63317347]\n",
      " [-1.10048056]\n",
      " [-1.45515275]\n",
      " [-1.89892089]\n",
      " [-1.64400053]\n",
      " [-1.79650056]\n",
      " [-1.98227859]\n",
      " [-2.11455894]]\n",
      "1304 Cost:  4.91548 \n",
      "Prediction:\n",
      " [[-1.63306594]\n",
      " [-1.10037541]\n",
      " [-1.4550643 ]\n",
      " [-1.89885139]\n",
      " [-1.64391899]\n",
      " [-1.79642177]\n",
      " [-1.98222375]\n",
      " [-2.11450481]]\n",
      "1305 Cost:  4.91513 \n",
      "Prediction:\n",
      " [[-1.63295841]\n",
      " [-1.10027051]\n",
      " [-1.45497608]\n",
      " [-1.89878178]\n",
      " [-1.64383769]\n",
      " [-1.79634285]\n",
      " [-1.98216891]\n",
      " [-2.11445093]]\n",
      "1306 Cost:  4.91477 \n",
      "Prediction:\n",
      " [[-1.63285089]\n",
      " [-1.10016561]\n",
      " [-1.45488763]\n",
      " [-1.89871216]\n",
      " [-1.64375615]\n",
      " [-1.79626405]\n",
      " [-1.98211408]\n",
      " [-2.11439681]]\n",
      "1307 Cost:  4.91442 \n",
      "Prediction:\n",
      " [[-1.63274336]\n",
      " [-1.10006058]\n",
      " [-1.45479918]\n",
      " [-1.89864254]\n",
      " [-1.64367485]\n",
      " [-1.79618514]\n",
      " [-1.98205924]\n",
      " [-2.11434269]]\n",
      "1308 Cost:  4.91406 \n",
      "Prediction:\n",
      " [[-1.63263583]\n",
      " [-1.09995556]\n",
      " [-1.45471084]\n",
      " [-1.89857292]\n",
      " [-1.64359331]\n",
      " [-1.79610634]\n",
      " [-1.9820044 ]\n",
      " [-2.11428857]]\n",
      "1309 Cost:  4.91371 \n",
      "Prediction:\n",
      " [[-1.63252831]\n",
      " [-1.09985065]\n",
      " [-1.45462251]\n",
      " [-1.8985033 ]\n",
      " [-1.64351189]\n",
      " [-1.79602754]\n",
      " [-1.98194969]\n",
      " [-2.11423445]]\n",
      "1310 Cost:  4.91335 \n",
      "Prediction:\n",
      " [[-1.63242078]\n",
      " [-1.09974563]\n",
      " [-1.45453405]\n",
      " [-1.89843369]\n",
      " [-1.64343047]\n",
      " [-1.79594874]\n",
      " [-1.98189485]\n",
      " [-2.11418056]]\n",
      "1311 Cost:  4.913 \n",
      "Prediction:\n",
      " [[-1.63231325]\n",
      " [-1.09964061]\n",
      " [-1.45444584]\n",
      " [-1.89836419]\n",
      " [-1.64334905]\n",
      " [-1.79586983]\n",
      " [-1.98184001]\n",
      " [-2.11412644]]\n",
      "1312 Cost:  4.91265 \n",
      "Prediction:\n",
      " [[-1.63220572]\n",
      " [-1.0995357 ]\n",
      " [-1.4543575 ]\n",
      " [-1.89829445]\n",
      " [-1.64326763]\n",
      " [-1.79579091]\n",
      " [-1.98178518]\n",
      " [-2.11407232]]\n",
      "1313 Cost:  4.91229 \n",
      "Prediction:\n",
      " [[-1.6320982 ]\n",
      " [-1.09943068]\n",
      " [-1.45426917]\n",
      " [-1.89822483]\n",
      " [-1.64318621]\n",
      " [-1.79571211]\n",
      " [-1.98173046]\n",
      " [-2.1140182 ]]\n",
      "1314 Cost:  4.91194 \n",
      "Prediction:\n",
      " [[-1.63199079]\n",
      " [-1.09932566]\n",
      " [-1.45418072]\n",
      " [-1.89815533]\n",
      " [-1.64310479]\n",
      " [-1.79563332]\n",
      " [-1.98167562]\n",
      " [-2.11396432]]\n",
      "1315 Cost:  4.91158 \n",
      "Prediction:\n",
      " [[-1.63188326]\n",
      " [-1.09922075]\n",
      " [-1.45409238]\n",
      " [-1.89808571]\n",
      " [-1.64302325]\n",
      " [-1.79555452]\n",
      " [-1.98162079]\n",
      " [-2.1139102 ]]\n",
      "1316 Cost:  4.91123 \n",
      "Prediction:\n",
      " [[-1.63177574]\n",
      " [-1.09911573]\n",
      " [-1.45400405]\n",
      " [-1.89801621]\n",
      " [-1.64294183]\n",
      " [-1.79547572]\n",
      " [-1.98156595]\n",
      " [-2.11385608]]\n",
      "1317 Cost:  4.91087 \n",
      "Prediction:\n",
      " [[-1.63166821]\n",
      " [-1.09901071]\n",
      " [-1.4539156 ]\n",
      " [-1.8979466 ]\n",
      " [-1.64286041]\n",
      " [-1.7953968 ]\n",
      " [-1.98151112]\n",
      " [-2.11380196]]\n",
      "1318 Cost:  4.91052 \n",
      "Prediction:\n",
      " [[-1.63156068]\n",
      " [-1.0989058 ]\n",
      " [-1.45382726]\n",
      " [-1.89787698]\n",
      " [-1.64277899]\n",
      " [-1.79531789]\n",
      " [-1.98145628]\n",
      " [-2.11374784]]\n",
      "1319 Cost:  4.91016 \n",
      "Prediction:\n",
      " [[-1.63145328]\n",
      " [-1.0988009 ]\n",
      " [-1.45373893]\n",
      " [-1.89780736]\n",
      " [-1.64269757]\n",
      " [-1.79523909]\n",
      " [-1.98140144]\n",
      " [-2.11369395]]\n",
      "1320 Cost:  4.90981 \n",
      "Prediction:\n",
      " [[-1.63134575]\n",
      " [-1.09869576]\n",
      " [-1.45365071]\n",
      " [-1.89773774]\n",
      " [-1.64261615]\n",
      " [-1.79516029]\n",
      " [-1.98134661]\n",
      " [-2.11363983]]\n",
      "1321 Cost:  4.90946 \n",
      "Prediction:\n",
      " [[-1.63123822]\n",
      " [-1.09859085]\n",
      " [-1.45356226]\n",
      " [-1.89766812]\n",
      " [-1.64253473]\n",
      " [-1.7950815 ]\n",
      " [-1.98129189]\n",
      " [-2.11358571]]\n",
      "1322 Cost:  4.9091 \n",
      "Prediction:\n",
      " [[-1.6311307 ]\n",
      " [-1.09848595]\n",
      " [-1.45347393]\n",
      " [-1.89759851]\n",
      " [-1.64245319]\n",
      " [-1.7950027 ]\n",
      " [-1.98123705]\n",
      " [-2.11353159]]\n",
      "1323 Cost:  4.90875 \n",
      "Prediction:\n",
      " [[-1.63102317]\n",
      " [-1.09838104]\n",
      " [-1.45338559]\n",
      " [-1.89752889]\n",
      " [-1.64237189]\n",
      " [-1.79492378]\n",
      " [-1.98118222]\n",
      " [-2.11347771]]\n",
      "1324 Cost:  4.90839 \n",
      "Prediction:\n",
      " [[-1.63091564]\n",
      " [-1.0982759 ]\n",
      " [-1.45329714]\n",
      " [-1.89745939]\n",
      " [-1.64229035]\n",
      " [-1.79484487]\n",
      " [-1.98112738]\n",
      " [-2.11342359]]\n",
      "1325 Cost:  4.90804 \n",
      "Prediction:\n",
      " [[-1.63080812]\n",
      " [-1.098171  ]\n",
      " [-1.4532088 ]\n",
      " [-1.89738977]\n",
      " [-1.64220905]\n",
      " [-1.79476619]\n",
      " [-1.98107266]\n",
      " [-2.11336946]]\n",
      "1326 Cost:  4.90768 \n",
      "Prediction:\n",
      " [[-1.63070059]\n",
      " [-1.09806597]\n",
      " [-1.45312047]\n",
      " [-1.89732027]\n",
      " [-1.64212751]\n",
      " [-1.79468727]\n",
      " [-1.98101783]\n",
      " [-2.11331534]]\n",
      "1327 Cost:  4.90733 \n",
      "Prediction:\n",
      " [[-1.63059318]\n",
      " [-1.09796107]\n",
      " [-1.45303202]\n",
      " [-1.89725065]\n",
      " [-1.64204621]\n",
      " [-1.79460847]\n",
      " [-1.98096299]\n",
      " [-2.11326122]]\n",
      "1328 Cost:  4.90698 \n",
      "Prediction:\n",
      " [[-1.63048577]\n",
      " [-1.09785616]\n",
      " [-1.4529438 ]\n",
      " [-1.89718103]\n",
      " [-1.64196467]\n",
      " [-1.79452968]\n",
      " [-1.98090816]\n",
      " [-2.11320734]]\n",
      "1329 Cost:  4.90662 \n",
      "Prediction:\n",
      " [[-1.63037825]\n",
      " [-1.09775114]\n",
      " [-1.45285547]\n",
      " [-1.89711154]\n",
      " [-1.64188337]\n",
      " [-1.79445088]\n",
      " [-1.98085332]\n",
      " [-2.11315322]]\n",
      "1330 Cost:  4.90627 \n",
      "Prediction:\n",
      " [[-1.63027096]\n",
      " [-1.09764624]\n",
      " [-1.45276713]\n",
      " [-1.89704192]\n",
      " [-1.64180195]\n",
      " [-1.79437208]\n",
      " [-1.98079848]\n",
      " [-2.1130991 ]]\n",
      "1331 Cost:  4.90591 \n",
      "Prediction:\n",
      " [[-1.63016343]\n",
      " [-1.09754133]\n",
      " [-1.45267892]\n",
      " [-1.89697242]\n",
      " [-1.64172053]\n",
      " [-1.79429328]\n",
      " [-1.98074365]\n",
      " [-2.11304522]]\n",
      "1332 Cost:  4.90556 \n",
      "Prediction:\n",
      " [[-1.63005602]\n",
      " [-1.09743655]\n",
      " [-1.45259047]\n",
      " [-1.8969028 ]\n",
      " [-1.64163923]\n",
      " [-1.79421449]\n",
      " [-1.98068893]\n",
      " [-2.11299109]]\n",
      "1333 Cost:  4.90521 \n",
      "Prediction:\n",
      " [[-1.62994862]\n",
      " [-1.09733176]\n",
      " [-1.45250225]\n",
      " [-1.89683318]\n",
      " [-1.64155781]\n",
      " [-1.79413569]\n",
      " [-1.98063409]\n",
      " [-2.11293697]]\n",
      "1334 Cost:  4.90485 \n",
      "Prediction:\n",
      " [[-1.62984109]\n",
      " [-1.09722686]\n",
      " [-1.45241404]\n",
      " [-1.89676368]\n",
      " [-1.64147639]\n",
      " [-1.79405689]\n",
      " [-1.98057938]\n",
      " [-2.11288309]]\n",
      "1335 Cost:  4.9045 \n",
      "Prediction:\n",
      " [[-1.62973368]\n",
      " [-1.09712195]\n",
      " [-1.45232558]\n",
      " [-1.89669406]\n",
      " [-1.64139509]\n",
      " [-1.7939781 ]\n",
      " [-1.98052454]\n",
      " [-2.11282897]]\n",
      "1336 Cost:  4.90414 \n",
      "Prediction:\n",
      " [[-1.62962627]\n",
      " [-1.09701705]\n",
      " [-1.45223737]\n",
      " [-1.89662457]\n",
      " [-1.64131355]\n",
      " [-1.7938993 ]\n",
      " [-1.9804697 ]\n",
      " [-2.11277485]]\n",
      "1337 Cost:  4.90379 \n",
      "Prediction:\n",
      " [[-1.62951875]\n",
      " [-1.09691215]\n",
      " [-1.45214915]\n",
      " [-1.89655495]\n",
      " [-1.64123225]\n",
      " [-1.79382062]\n",
      " [-1.98041487]\n",
      " [-2.11272097]]\n",
      "1338 Cost:  4.90344 \n",
      "Prediction:\n",
      " [[-1.62941146]\n",
      " [-1.09680736]\n",
      " [-1.45206094]\n",
      " [-1.89648533]\n",
      " [-1.64115095]\n",
      " [-1.79374182]\n",
      " [-1.98036003]\n",
      " [-2.11266685]]\n",
      "1339 Cost:  4.90308 \n",
      "Prediction:\n",
      " [[-1.62930393]\n",
      " [-1.09670258]\n",
      " [-1.4519726 ]\n",
      " [-1.89641583]\n",
      " [-1.64106941]\n",
      " [-1.79366302]\n",
      " [-1.98030531]\n",
      " [-2.11261296]]\n",
      "1340 Cost:  4.90273 \n",
      "Prediction:\n",
      " [[-1.62919652]\n",
      " [-1.09659767]\n",
      " [-1.45188427]\n",
      " [-1.89634621]\n",
      " [-1.64098823]\n",
      " [-1.79358423]\n",
      " [-1.98025048]\n",
      " [-2.11255884]]\n",
      "1341 Cost:  4.90238 \n",
      "Prediction:\n",
      " [[-1.62908912]\n",
      " [-1.09649277]\n",
      " [-1.45179594]\n",
      " [-1.89627671]\n",
      " [-1.64090681]\n",
      " [-1.79350543]\n",
      " [-1.98019576]\n",
      " [-2.11250496]]\n",
      "1342 Cost:  4.90202 \n",
      "Prediction:\n",
      " [[-1.62898159]\n",
      " [-1.09638798]\n",
      " [-1.45170772]\n",
      " [-1.89620709]\n",
      " [-1.64082539]\n",
      " [-1.79342675]\n",
      " [-1.98014092]\n",
      " [-2.11245084]]\n",
      "1343 Cost:  4.90167 \n",
      "Prediction:\n",
      " [[-1.6288743 ]\n",
      " [-1.09628308]\n",
      " [-1.45161939]\n",
      " [-1.89613771]\n",
      " [-1.64074409]\n",
      " [-1.79334784]\n",
      " [-1.98008609]\n",
      " [-2.11239672]]\n",
      "1344 Cost:  4.90131 \n",
      "Prediction:\n",
      " [[-1.62876678]\n",
      " [-1.09617829]\n",
      " [-1.45153117]\n",
      " [-1.8960681 ]\n",
      " [-1.64066267]\n",
      " [-1.79326916]\n",
      " [-1.98003125]\n",
      " [-2.11234283]]\n",
      "1345 Cost:  4.90096 \n",
      "Prediction:\n",
      " [[-1.62865937]\n",
      " [-1.09607339]\n",
      " [-1.45144284]\n",
      " [-1.89599848]\n",
      " [-1.64058125]\n",
      " [-1.79319024]\n",
      " [-1.97997642]\n",
      " [-2.11228871]]\n",
      "1346 Cost:  4.90061 \n",
      "Prediction:\n",
      " [[-1.62855196]\n",
      " [-1.09596848]\n",
      " [-1.45135462]\n",
      " [-1.89592886]\n",
      " [-1.64049983]\n",
      " [-1.79311156]\n",
      " [-1.9799217 ]\n",
      " [-2.11223459]]\n",
      "1347 Cost:  4.90025 \n",
      "Prediction:\n",
      " [[-1.62844443]\n",
      " [-1.09586358]\n",
      " [-1.45126629]\n",
      " [-1.89585924]\n",
      " [-1.64041853]\n",
      " [-1.79303265]\n",
      " [-1.97986686]\n",
      " [-2.11218071]]\n",
      "1348 Cost:  4.8999 \n",
      "Prediction:\n",
      " [[-1.62833714]\n",
      " [-1.0957588 ]\n",
      " [-1.45117807]\n",
      " [-1.89578986]\n",
      " [-1.64033711]\n",
      " [-1.79295397]\n",
      " [-1.97981203]\n",
      " [-2.11212659]]\n",
      "1349 Cost:  4.89954 \n",
      "Prediction:\n",
      " [[-1.62822962]\n",
      " [-1.09565401]\n",
      " [-1.45108974]\n",
      " [-1.89572024]\n",
      " [-1.64025569]\n",
      " [-1.79287517]\n",
      " [-1.97975731]\n",
      " [-2.11207247]]\n",
      "1350 Cost:  4.89919 \n",
      "Prediction:\n",
      " [[-1.62812221]\n",
      " [-1.09554911]\n",
      " [-1.45100141]\n",
      " [-1.89565063]\n",
      " [-1.64017439]\n",
      " [-1.79279637]\n",
      " [-1.97970247]\n",
      " [-2.11201859]]\n",
      "1351 Cost:  4.89884 \n",
      "Prediction:\n",
      " [[-1.6280148 ]\n",
      " [-1.0954442 ]\n",
      " [-1.45091319]\n",
      " [-1.89558113]\n",
      " [-1.64009297]\n",
      " [-1.7927177 ]\n",
      " [-1.97964764]\n",
      " [-2.11196446]]\n",
      "1352 Cost:  4.89848 \n",
      "Prediction:\n",
      " [[-1.6279074 ]\n",
      " [-1.09533942]\n",
      " [-1.45082486]\n",
      " [-1.89551151]\n",
      " [-1.64001155]\n",
      " [-1.79263878]\n",
      " [-1.9795928 ]\n",
      " [-2.11191058]]\n",
      "1353 Cost:  4.89813 \n",
      "Prediction:\n",
      " [[-1.62779999]\n",
      " [-1.09523451]\n",
      " [-1.45073664]\n",
      " [-1.89544201]\n",
      " [-1.63993025]\n",
      " [-1.7925601 ]\n",
      " [-1.97953808]\n",
      " [-2.11185646]]\n",
      "1354 Cost:  4.89778 \n",
      "Prediction:\n",
      " [[-1.62769246]\n",
      " [-1.09512973]\n",
      " [-1.45064831]\n",
      " [-1.89537239]\n",
      " [-1.63984883]\n",
      " [-1.7924813 ]\n",
      " [-1.97948325]\n",
      " [-2.11180234]]\n",
      "1355 Cost:  4.89742 \n",
      "Prediction:\n",
      " [[-1.62758517]\n",
      " [-1.09502482]\n",
      " [-1.45056009]\n",
      " [-1.89530277]\n",
      " [-1.63976753]\n",
      " [-1.79240251]\n",
      " [-1.97942853]\n",
      " [-2.11174846]]\n",
      "1356 Cost:  4.89707 \n",
      "Prediction:\n",
      " [[-1.62747765]\n",
      " [-1.09491992]\n",
      " [-1.45047176]\n",
      " [-1.89523339]\n",
      " [-1.63968611]\n",
      " [-1.79232383]\n",
      " [-1.97937369]\n",
      " [-2.11169434]]\n",
      "1357 Cost:  4.89672 \n",
      "Prediction:\n",
      " [[-1.62737036]\n",
      " [-1.09481514]\n",
      " [-1.45038342]\n",
      " [-1.89516377]\n",
      " [-1.63960469]\n",
      " [-1.79224491]\n",
      " [-1.97931886]\n",
      " [-2.11164045]]\n",
      "1358 Cost:  4.89636 \n",
      "Prediction:\n",
      " [[-1.62726283]\n",
      " [-1.09471023]\n",
      " [-1.45029521]\n",
      " [-1.89509416]\n",
      " [-1.63952339]\n",
      " [-1.79216623]\n",
      " [-1.97926402]\n",
      " [-2.11158633]]\n",
      "1359 Cost:  4.89601 \n",
      "Prediction:\n",
      " [[-1.62715542]\n",
      " [-1.09460533]\n",
      " [-1.450207  ]\n",
      " [-1.89502454]\n",
      " [-1.63944197]\n",
      " [-1.79208744]\n",
      " [-1.97920918]\n",
      " [-2.11153221]]\n",
      "1360 Cost:  4.89565 \n",
      "Prediction:\n",
      " [[-1.62704802]\n",
      " [-1.09450054]\n",
      " [-1.45011866]\n",
      " [-1.89495504]\n",
      " [-1.63936067]\n",
      " [-1.79200864]\n",
      " [-1.97915447]\n",
      " [-2.11147833]]\n",
      "1361 Cost:  4.8953 \n",
      "Prediction:\n",
      " [[-1.62694061]\n",
      " [-1.09439564]\n",
      " [-1.45003033]\n",
      " [-1.89488554]\n",
      " [-1.63927937]\n",
      " [-1.79192984]\n",
      " [-1.97909975]\n",
      " [-2.11142421]]\n",
      "1362 Cost:  4.89495 \n",
      "Prediction:\n",
      " [[-1.6268332 ]\n",
      " [-1.09429073]\n",
      " [-1.44994211]\n",
      " [-1.89481592]\n",
      " [-1.63919795]\n",
      " [-1.79185104]\n",
      " [-1.97904491]\n",
      " [-2.11137009]]\n",
      "1363 Cost:  4.89459 \n",
      "Prediction:\n",
      " [[-1.62672579]\n",
      " [-1.09418595]\n",
      " [-1.4498539 ]\n",
      " [-1.89474642]\n",
      " [-1.63911653]\n",
      " [-1.79177237]\n",
      " [-1.97899008]\n",
      " [-2.1113162 ]]\n",
      "1364 Cost:  4.89424 \n",
      "Prediction:\n",
      " [[-1.62661839]\n",
      " [-1.09408116]\n",
      " [-1.44976568]\n",
      " [-1.8946768 ]\n",
      " [-1.63903522]\n",
      " [-1.79169357]\n",
      " [-1.97893524]\n",
      " [-2.11126208]]\n",
      "1365 Cost:  4.89389 \n",
      "Prediction:\n",
      " [[-1.62651098]\n",
      " [-1.09397626]\n",
      " [-1.44967723]\n",
      " [-1.89460731]\n",
      " [-1.6389538 ]\n",
      " [-1.79161477]\n",
      " [-1.97888041]\n",
      " [-2.1112082 ]]\n",
      "1366 Cost:  4.89353 \n",
      "Prediction:\n",
      " [[-1.62640357]\n",
      " [-1.09387136]\n",
      " [-1.44958901]\n",
      " [-1.89453769]\n",
      " [-1.63887239]\n",
      " [-1.79153609]\n",
      " [-1.97882569]\n",
      " [-2.11115408]]\n",
      "1367 Cost:  4.89318 \n",
      "Prediction:\n",
      " [[-1.62629616]\n",
      " [-1.09376645]\n",
      " [-1.4495008 ]\n",
      " [-1.89446819]\n",
      " [-1.63879108]\n",
      " [-1.79145718]\n",
      " [-1.97877085]\n",
      " [-2.11109996]]\n",
      "1368 Cost:  4.89283 \n",
      "Prediction:\n",
      " [[-1.62618876]\n",
      " [-1.09366179]\n",
      " [-1.44941247]\n",
      " [-1.89439869]\n",
      " [-1.63870978]\n",
      " [-1.7913785 ]\n",
      " [-1.97871614]\n",
      " [-2.11104608]]\n",
      "1369 Cost:  4.89247 \n",
      "Prediction:\n",
      " [[-1.62608135]\n",
      " [-1.09355688]\n",
      " [-1.44932425]\n",
      " [-1.89432907]\n",
      " [-1.63862824]\n",
      " [-1.7912997 ]\n",
      " [-1.9786613 ]\n",
      " [-2.11099195]]\n",
      "1370 Cost:  4.89212 \n",
      "Prediction:\n",
      " [[-1.62597394]\n",
      " [-1.0934521 ]\n",
      " [-1.44923592]\n",
      " [-1.89425945]\n",
      " [-1.63854694]\n",
      " [-1.7912209 ]\n",
      " [-1.97860646]\n",
      " [-2.11093807]]\n",
      "1371 Cost:  4.89177 \n",
      "Prediction:\n",
      " [[-1.62586653]\n",
      " [-1.09334719]\n",
      " [-1.4491477 ]\n",
      " [-1.89418995]\n",
      " [-1.63846564]\n",
      " [-1.79114223]\n",
      " [-1.97855163]\n",
      " [-2.11088395]]\n",
      "1372 Cost:  4.89141 \n",
      "Prediction:\n",
      " [[-1.62575912]\n",
      " [-1.09324229]\n",
      " [-1.44905949]\n",
      " [-1.89412045]\n",
      " [-1.63838422]\n",
      " [-1.79106343]\n",
      " [-1.97849691]\n",
      " [-2.11082983]]\n",
      "1373 Cost:  4.89106 \n",
      "Prediction:\n",
      " [[-1.62565172]\n",
      " [-1.0931375 ]\n",
      " [-1.44897115]\n",
      " [-1.89405084]\n",
      " [-1.6383028 ]\n",
      " [-1.79098463]\n",
      " [-1.97844207]\n",
      " [-2.11077595]]\n",
      "1374 Cost:  4.89071 \n",
      "Prediction:\n",
      " [[-1.62554431]\n",
      " [-1.0930326 ]\n",
      " [-1.44888294]\n",
      " [-1.89398134]\n",
      " [-1.6382215 ]\n",
      " [-1.79090583]\n",
      " [-1.97838736]\n",
      " [-2.11072183]]\n",
      "1375 Cost:  4.89035 \n",
      "Prediction:\n",
      " [[-1.6254369 ]\n",
      " [-1.09292781]\n",
      " [-1.4487946 ]\n",
      " [-1.89391172]\n",
      " [-1.6381402 ]\n",
      " [-1.79082704]\n",
      " [-1.97833252]\n",
      " [-2.11066771]]\n",
      "1376 Cost:  4.89 \n",
      "Prediction:\n",
      " [[-1.62532949]\n",
      " [-1.09282303]\n",
      " [-1.44870639]\n",
      " [-1.89384222]\n",
      " [-1.63805878]\n",
      " [-1.79074836]\n",
      " [-1.97827768]\n",
      " [-2.11061382]]\n",
      "1377 Cost:  4.88965 \n",
      "Prediction:\n",
      " [[-1.62522209]\n",
      " [-1.09271812]\n",
      " [-1.44861805]\n",
      " [-1.8937726 ]\n",
      " [-1.63797736]\n",
      " [-1.79066956]\n",
      " [-1.97822285]\n",
      " [-2.1105597 ]]\n",
      "1378 Cost:  4.88929 \n",
      "Prediction:\n",
      " [[-1.62511468]\n",
      " [-1.09261322]\n",
      " [-1.44852984]\n",
      " [-1.8937031 ]\n",
      " [-1.63789606]\n",
      " [-1.79059076]\n",
      " [-1.97816801]\n",
      " [-2.11050558]]\n",
      "1379 Cost:  4.88894 \n",
      "Prediction:\n",
      " [[-1.62500727]\n",
      " [-1.09250844]\n",
      " [-1.44844151]\n",
      " [-1.8936336 ]\n",
      " [-1.63781464]\n",
      " [-1.79051208]\n",
      " [-1.97811329]\n",
      " [-2.1104517 ]]\n",
      "1380 Cost:  4.88859 \n",
      "Prediction:\n",
      " [[-1.62489986]\n",
      " [-1.09240365]\n",
      " [-1.44835329]\n",
      " [-1.89356399]\n",
      " [-1.63773322]\n",
      " [-1.79043317]\n",
      " [-1.97805846]\n",
      " [-2.11039758]]\n",
      "1381 Cost:  4.88823 \n",
      "Prediction:\n",
      " [[-1.62479246]\n",
      " [-1.09229875]\n",
      " [-1.44826508]\n",
      " [-1.89349449]\n",
      " [-1.63765204]\n",
      " [-1.79035449]\n",
      " [-1.97800374]\n",
      " [-2.11034369]]\n",
      "1382 Cost:  4.88788 \n",
      "Prediction:\n",
      " [[-1.62468505]\n",
      " [-1.09219408]\n",
      " [-1.44817674]\n",
      " [-1.89342487]\n",
      " [-1.63757062]\n",
      " [-1.79027581]\n",
      " [-1.9779489 ]\n",
      " [-2.11028957]]\n",
      "1383 Cost:  4.88753 \n",
      "Prediction:\n",
      " [[-1.62457776]\n",
      " [-1.09208918]\n",
      " [-1.44808853]\n",
      " [-1.89335537]\n",
      " [-1.63748932]\n",
      " [-1.79019701]\n",
      " [-1.97789407]\n",
      " [-2.11023569]]\n",
      "1384 Cost:  4.88717 \n",
      "Prediction:\n",
      " [[-1.62447023]\n",
      " [-1.09198427]\n",
      " [-1.44800019]\n",
      " [-1.89328575]\n",
      " [-1.63740802]\n",
      " [-1.79011822]\n",
      " [-1.97783923]\n",
      " [-2.11018157]]\n",
      "1385 Cost:  4.88682 \n",
      "Prediction:\n",
      " [[-1.62436295]\n",
      " [-1.09187937]\n",
      " [-1.44791198]\n",
      " [-1.89321625]\n",
      " [-1.6373266 ]\n",
      " [-1.79003942]\n",
      " [-1.97778451]\n",
      " [-2.11012745]]\n",
      "1386 Cost:  4.88647 \n",
      "Prediction:\n",
      " [[-1.62425554]\n",
      " [-1.0917747 ]\n",
      " [-1.44782364]\n",
      " [-1.89314675]\n",
      " [-1.63724518]\n",
      " [-1.78996062]\n",
      " [-1.97772968]\n",
      " [-2.11007357]]\n",
      "1387 Cost:  4.88612 \n",
      "Prediction:\n",
      " [[-1.62414813]\n",
      " [-1.0916698 ]\n",
      " [-1.44773543]\n",
      " [-1.89307714]\n",
      " [-1.63716388]\n",
      " [-1.78988194]\n",
      " [-1.97767496]\n",
      " [-2.11001945]]\n",
      "1388 Cost:  4.88576 \n",
      "Prediction:\n",
      " [[-1.62404072]\n",
      " [-1.09156501]\n",
      " [-1.44764721]\n",
      " [-1.89300764]\n",
      " [-1.63708246]\n",
      " [-1.78980315]\n",
      " [-1.97762012]\n",
      " [-2.10996532]]\n",
      "1389 Cost:  4.88541 \n",
      "Prediction:\n",
      " [[-1.62393332]\n",
      " [-1.09146011]\n",
      " [-1.44755888]\n",
      " [-1.89293802]\n",
      " [-1.63700116]\n",
      " [-1.78972435]\n",
      " [-1.97756529]\n",
      " [-2.10991144]]\n",
      "1390 Cost:  4.88506 \n",
      "Prediction:\n",
      " [[-1.62382591]\n",
      " [-1.09135532]\n",
      " [-1.44747066]\n",
      " [-1.89286852]\n",
      " [-1.63691974]\n",
      " [-1.78964567]\n",
      " [-1.97751045]\n",
      " [-2.10985732]]\n",
      "1391 Cost:  4.8847 \n",
      "Prediction:\n",
      " [[-1.6237185 ]\n",
      " [-1.09125042]\n",
      " [-1.44738245]\n",
      " [-1.8927989 ]\n",
      " [-1.63683844]\n",
      " [-1.78956687]\n",
      " [-1.97745562]\n",
      " [-2.1098032 ]]\n",
      "1392 Cost:  4.88435 \n",
      "Prediction:\n",
      " [[-1.62361121]\n",
      " [-1.09114563]\n",
      " [-1.44729412]\n",
      " [-1.8927294 ]\n",
      " [-1.63675702]\n",
      " [-1.78948808]\n",
      " [-1.9774009 ]\n",
      " [-2.10974932]]\n",
      "1393 Cost:  4.884 \n",
      "Prediction:\n",
      " [[-1.6235038 ]\n",
      " [-1.09104085]\n",
      " [-1.44720578]\n",
      " [-1.8926599 ]\n",
      " [-1.6366756 ]\n",
      " [-1.78940928]\n",
      " [-1.97734606]\n",
      " [-2.1096952 ]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1394 Cost:  4.88364 \n",
      "Prediction:\n",
      " [[-1.6233964 ]\n",
      " [-1.09093606]\n",
      " [-1.44711757]\n",
      " [-1.89259028]\n",
      " [-1.6365943 ]\n",
      " [-1.7893306 ]\n",
      " [-1.97729135]\n",
      " [-2.10964131]]\n",
      "1395 Cost:  4.88329 \n",
      "Prediction:\n",
      " [[-1.62328899]\n",
      " [-1.09083116]\n",
      " [-1.44702935]\n",
      " [-1.89252067]\n",
      " [-1.63651299]\n",
      " [-1.7892518 ]\n",
      " [-1.97723651]\n",
      " [-2.10958719]]\n",
      "1396 Cost:  4.88294 \n",
      "Prediction:\n",
      " [[-1.62318158]\n",
      " [-1.09072638]\n",
      " [-1.44694102]\n",
      " [-1.89245117]\n",
      " [-1.63643157]\n",
      " [-1.78917313]\n",
      " [-1.97718167]\n",
      " [-2.10953307]]\n",
      "1397 Cost:  4.88258 \n",
      "Prediction:\n",
      " [[-1.62307429]\n",
      " [-1.09062147]\n",
      " [-1.44685292]\n",
      " [-1.89238167]\n",
      " [-1.63635015]\n",
      " [-1.78909433]\n",
      " [-1.97712696]\n",
      " [-2.10947919]]\n",
      "1398 Cost:  4.88223 \n",
      "Prediction:\n",
      " [[-1.62296677]\n",
      " [-1.09051669]\n",
      " [-1.44676459]\n",
      " [-1.89231205]\n",
      " [-1.63626885]\n",
      " [-1.78901553]\n",
      " [-1.97707212]\n",
      " [-2.10942507]]\n",
      "1399 Cost:  4.88188 \n",
      "Prediction:\n",
      " [[-1.62285948]\n",
      " [-1.0904119 ]\n",
      " [-1.44667625]\n",
      " [-1.89224255]\n",
      " [-1.63618755]\n",
      " [-1.78893685]\n",
      " [-1.9770174 ]\n",
      " [-2.10937119]]\n",
      "1400 Cost:  4.88153 \n",
      "Prediction:\n",
      " [[-1.62275207]\n",
      " [-1.090307  ]\n",
      " [-1.44658804]\n",
      " [-1.89217305]\n",
      " [-1.63610613]\n",
      " [-1.78885806]\n",
      " [-1.97696257]\n",
      " [-2.10931706]]\n",
      "1401 Cost:  4.88117 \n",
      "Prediction:\n",
      " [[-1.62264478]\n",
      " [-1.09020233]\n",
      " [-1.44649982]\n",
      " [-1.89210343]\n",
      " [-1.63602483]\n",
      " [-1.78877926]\n",
      " [-1.97690773]\n",
      " [-2.10926294]]\n",
      "1402 Cost:  4.88082 \n",
      "Prediction:\n",
      " [[-1.62253737]\n",
      " [-1.09009743]\n",
      " [-1.44641161]\n",
      " [-1.89203393]\n",
      " [-1.63594353]\n",
      " [-1.78870058]\n",
      " [-1.97685289]\n",
      " [-2.10920906]]\n",
      "1403 Cost:  4.88047 \n",
      "Prediction:\n",
      " [[-1.62243009]\n",
      " [-1.08999264]\n",
      " [-1.44632339]\n",
      " [-1.89196444]\n",
      " [-1.63586223]\n",
      " [-1.78862178]\n",
      " [-1.97679818]\n",
      " [-2.10915494]]\n",
      "1404 Cost:  4.88011 \n",
      "Prediction:\n",
      " [[-1.6223228 ]\n",
      " [-1.08988786]\n",
      " [-1.44623518]\n",
      " [-1.89189494]\n",
      " [-1.63578081]\n",
      " [-1.78854311]\n",
      " [-1.97674334]\n",
      " [-2.10910082]]\n",
      "1405 Cost:  4.87976 \n",
      "Prediction:\n",
      " [[-1.62221551]\n",
      " [-1.08978319]\n",
      " [-1.44614697]\n",
      " [-1.89182544]\n",
      " [-1.63569963]\n",
      " [-1.78846443]\n",
      " [-1.97668862]\n",
      " [-2.10904694]]\n",
      "1406 Cost:  4.87941 \n",
      "Prediction:\n",
      " [[-1.62210822]\n",
      " [-1.08967841]\n",
      " [-1.44605875]\n",
      " [-1.89175582]\n",
      " [-1.63561821]\n",
      " [-1.78838563]\n",
      " [-1.97663379]\n",
      " [-2.10899282]]\n",
      "1407 Cost:  4.87906 \n",
      "Prediction:\n",
      " [[-1.62200093]\n",
      " [-1.08957362]\n",
      " [-1.44597054]\n",
      " [-1.89168632]\n",
      " [-1.63553691]\n",
      " [-1.78830695]\n",
      " [-1.97657895]\n",
      " [-2.10893893]]\n",
      "1408 Cost:  4.8787 \n",
      "Prediction:\n",
      " [[-1.62189353]\n",
      " [-1.08946872]\n",
      " [-1.44588232]\n",
      " [-1.89161682]\n",
      " [-1.63545561]\n",
      " [-1.78822815]\n",
      " [-1.97652411]\n",
      " [-2.10888481]]\n",
      "1409 Cost:  4.87835 \n",
      "Prediction:\n",
      " [[-1.62178624]\n",
      " [-1.08936405]\n",
      " [-1.44579399]\n",
      " [-1.8915472 ]\n",
      " [-1.63537431]\n",
      " [-1.78814936]\n",
      " [-1.9764694 ]\n",
      " [-2.10883093]]\n",
      "1410 Cost:  4.878 \n",
      "Prediction:\n",
      " [[-1.62167883]\n",
      " [-1.08925927]\n",
      " [-1.44570589]\n",
      " [-1.8914777 ]\n",
      " [-1.63529301]\n",
      " [-1.78807068]\n",
      " [-1.97641456]\n",
      " [-2.10877681]]\n",
      "1411 Cost:  4.87765 \n",
      "Prediction:\n",
      " [[-1.62157154]\n",
      " [-1.08915448]\n",
      " [-1.44561756]\n",
      " [-1.89140821]\n",
      " [-1.63521159]\n",
      " [-1.787992  ]\n",
      " [-1.97635984]\n",
      " [-2.10872269]]\n",
      "1412 Cost:  4.87729 \n",
      "Prediction:\n",
      " [[-1.62146425]\n",
      " [-1.0890497 ]\n",
      " [-1.44552934]\n",
      " [-1.89133871]\n",
      " [-1.63513029]\n",
      " [-1.78791332]\n",
      " [-1.97630501]\n",
      " [-2.1086688 ]]\n",
      "1413 Cost:  4.87694 \n",
      "Prediction:\n",
      " [[-1.62135696]\n",
      " [-1.08894491]\n",
      " [-1.44544113]\n",
      " [-1.89126921]\n",
      " [-1.63504887]\n",
      " [-1.78783453]\n",
      " [-1.97625017]\n",
      " [-2.10861468]]\n",
      "1414 Cost:  4.87659 \n",
      "Prediction:\n",
      " [[-1.62124968]\n",
      " [-1.08884013]\n",
      " [-1.44535291]\n",
      " [-1.89119959]\n",
      " [-1.63496768]\n",
      " [-1.78775573]\n",
      " [-1.97619534]\n",
      " [-2.10856056]]\n",
      "1415 Cost:  4.87624 \n",
      "Prediction:\n",
      " [[-1.62114239]\n",
      " [-1.08873534]\n",
      " [-1.4452647 ]\n",
      " [-1.89113009]\n",
      " [-1.63488626]\n",
      " [-1.78767705]\n",
      " [-1.97614062]\n",
      " [-2.10850668]]\n",
      "1416 Cost:  4.87588 \n",
      "Prediction:\n",
      " [[-1.62103534]\n",
      " [-1.08863091]\n",
      " [-1.44517672]\n",
      " [-1.89106083]\n",
      " [-1.6348052 ]\n",
      " [-1.78759861]\n",
      " [-1.97608602]\n",
      " [-2.1084528 ]]\n",
      "1417 Cost:  4.87553 \n",
      "Prediction:\n",
      " [[-1.62092829]\n",
      " [-1.08852625]\n",
      " [-1.44508874]\n",
      " [-1.89099157]\n",
      " [-1.63472414]\n",
      " [-1.78752017]\n",
      " [-1.97603154]\n",
      " [-2.10839915]]\n",
      "1418 Cost:  4.87518 \n",
      "Prediction:\n",
      " [[-1.62082112]\n",
      " [-1.08842182]\n",
      " [-1.44500077]\n",
      " [-1.89092231]\n",
      " [-1.63464308]\n",
      " [-1.78744161]\n",
      " [-1.97597694]\n",
      " [-2.10834527]]\n",
      "1419 Cost:  4.87483 \n",
      "Prediction:\n",
      " [[-1.62071407]\n",
      " [-1.08831716]\n",
      " [-1.44491279]\n",
      " [-1.89085293]\n",
      " [-1.63456202]\n",
      " [-1.78736317]\n",
      " [-1.97592235]\n",
      " [-2.10829163]]\n",
      "1420 Cost:  4.87448 \n",
      "Prediction:\n",
      " [[-1.62060702]\n",
      " [-1.08821273]\n",
      " [-1.44482481]\n",
      " [-1.89078367]\n",
      " [-1.63448095]\n",
      " [-1.78728461]\n",
      " [-1.97586787]\n",
      " [-2.10823774]]\n",
      "1421 Cost:  4.87413 \n",
      "Prediction:\n",
      " [[-1.62049997]\n",
      " [-1.08810818]\n",
      " [-1.44473672]\n",
      " [-1.89071441]\n",
      " [-1.63439989]\n",
      " [-1.78720617]\n",
      " [-1.97581327]\n",
      " [-2.10818386]]\n",
      "1422 Cost:  4.87378 \n",
      "Prediction:\n",
      " [[-1.62039304]\n",
      " [-1.08800364]\n",
      " [-1.44464898]\n",
      " [-1.89064527]\n",
      " [-1.63431883]\n",
      " [-1.78712773]\n",
      " [-1.97575879]\n",
      " [-2.10813022]]\n",
      "1423 Cost:  4.87342 \n",
      "Prediction:\n",
      " [[-1.62028599]\n",
      " [-1.08789921]\n",
      " [-1.444561  ]\n",
      " [-1.890576  ]\n",
      " [-1.63423777]\n",
      " [-1.78704929]\n",
      " [-1.97570419]\n",
      " [-2.10807633]]\n",
      "1424 Cost:  4.87307 \n",
      "Prediction:\n",
      " [[-1.62017918]\n",
      " [-1.08779478]\n",
      " [-1.44447303]\n",
      " [-1.89050674]\n",
      " [-1.63415682]\n",
      " [-1.78697085]\n",
      " [-1.9756496 ]\n",
      " [-2.10802269]]\n",
      "1425 Cost:  4.87272 \n",
      "Prediction:\n",
      " [[-1.62007213]\n",
      " [-1.08769035]\n",
      " [-1.44438529]\n",
      " [-1.89043748]\n",
      " [-1.63407576]\n",
      " [-1.78689241]\n",
      " [-1.97559524]\n",
      " [-2.10796881]]\n",
      "1426 Cost:  4.87237 \n",
      "Prediction:\n",
      " [[-1.6199652 ]\n",
      " [-1.08758593]\n",
      " [-1.44429731]\n",
      " [-1.89036822]\n",
      " [-1.63399482]\n",
      " [-1.78681409]\n",
      " [-1.97554064]\n",
      " [-2.10791516]]\n",
      "1427 Cost:  4.87202 \n",
      "Prediction:\n",
      " [[-1.61985826]\n",
      " [-1.08748162]\n",
      " [-1.44420958]\n",
      " [-1.89029908]\n",
      " [-1.63391387]\n",
      " [-1.78673565]\n",
      " [-1.97548616]\n",
      " [-2.10786128]]\n",
      "1428 Cost:  4.87167 \n",
      "Prediction:\n",
      " [[-1.61975133]\n",
      " [-1.08737731]\n",
      " [-1.4441216 ]\n",
      " [-1.89022982]\n",
      " [-1.63383293]\n",
      " [-1.78665721]\n",
      " [-1.97543168]\n",
      " [-2.10780764]]\n",
      "1429 Cost:  4.87132 \n",
      "Prediction:\n",
      " [[-1.6196444 ]\n",
      " [-1.08727288]\n",
      " [-1.44403374]\n",
      " [-1.89016056]\n",
      " [-1.63375187]\n",
      " [-1.78657889]\n",
      " [-1.97537708]\n",
      " [-2.10775375]]\n",
      "1430 Cost:  4.87097 \n",
      "Prediction:\n",
      " [[-1.61953747]\n",
      " [-1.08716846]\n",
      " [-1.44394588]\n",
      " [-1.89009142]\n",
      " [-1.63367081]\n",
      " [-1.78650045]\n",
      " [-1.9753226 ]\n",
      " [-2.10770011]]\n",
      "1431 Cost:  4.87062 \n",
      "Prediction:\n",
      " [[-1.61943054]\n",
      " [-1.08706403]\n",
      " [-1.44385815]\n",
      " [-1.89002228]\n",
      " [-1.63358986]\n",
      " [-1.78642201]\n",
      " [-1.97526813]\n",
      " [-2.10764623]]\n",
      "1432 Cost:  4.87027 \n",
      "Prediction:\n",
      " [[-1.61932349]\n",
      " [-1.0869596 ]\n",
      " [-1.44377017]\n",
      " [-1.8899529 ]\n",
      " [-1.63350892]\n",
      " [-1.78634369]\n",
      " [-1.97521353]\n",
      " [-2.10759258]]\n",
      "1433 Cost:  4.86991 \n",
      "Prediction:\n",
      " [[-1.61921668]\n",
      " [-1.08685541]\n",
      " [-1.44368231]\n",
      " [-1.88988376]\n",
      " [-1.63342786]\n",
      " [-1.78626525]\n",
      " [-1.97515905]\n",
      " [-2.1075387 ]]\n",
      "1434 Cost:  4.86956 \n",
      "Prediction:\n",
      " [[-1.61910963]\n",
      " [-1.08675098]\n",
      " [-1.44359446]\n",
      " [-1.88981462]\n",
      " [-1.63334703]\n",
      " [-1.78618681]\n",
      " [-1.97510457]\n",
      " [-2.10748506]]\n",
      "1435 Cost:  4.86921 \n",
      "Prediction:\n",
      " [[-1.61900282]\n",
      " [-1.08664656]\n",
      " [-1.44350648]\n",
      " [-1.88974535]\n",
      " [-1.63326597]\n",
      " [-1.78610849]\n",
      " [-1.97504997]\n",
      " [-2.10743141]]\n",
      "1436 Cost:  4.86886 \n",
      "Prediction:\n",
      " [[-1.61889577]\n",
      " [-1.08654213]\n",
      " [-1.44341874]\n",
      " [-1.88967609]\n",
      " [-1.63318491]\n",
      " [-1.78603005]\n",
      " [-1.97499549]\n",
      " [-2.10737753]]\n",
      "1437 Cost:  4.86851 \n",
      "Prediction:\n",
      " [[-1.61878896]\n",
      " [-1.08643782]\n",
      " [-1.44333076]\n",
      " [-1.88960695]\n",
      " [-1.63310385]\n",
      " [-1.78595161]\n",
      " [-1.97494102]\n",
      " [-2.10732365]]\n",
      "1438 Cost:  4.86816 \n",
      "Prediction:\n",
      " [[-1.61868191]\n",
      " [-1.08633351]\n",
      " [-1.44324303]\n",
      " [-1.88953769]\n",
      " [-1.63302302]\n",
      " [-1.78587329]\n",
      " [-1.97488642]\n",
      " [-2.10727   ]]\n",
      "1439 Cost:  4.86781 \n",
      "Prediction:\n",
      " [[-1.6185751 ]\n",
      " [-1.08622909]\n",
      " [-1.44315505]\n",
      " [-1.88946843]\n",
      " [-1.63294196]\n",
      " [-1.78579485]\n",
      " [-1.97483194]\n",
      " [-2.10721636]]\n",
      "1440 Cost:  4.86746 \n",
      "Prediction:\n",
      " [[-1.61846805]\n",
      " [-1.08612466]\n",
      " [-1.44306731]\n",
      " [-1.88939929]\n",
      " [-1.63286102]\n",
      " [-1.78571641]\n",
      " [-1.97477746]\n",
      " [-2.10716248]]\n",
      "1441 Cost:  4.86711 \n",
      "Prediction:\n",
      " [[-1.61836123]\n",
      " [-1.08602035]\n",
      " [-1.44297934]\n",
      " [-1.88933003]\n",
      " [-1.63278008]\n",
      " [-1.78563809]\n",
      " [-1.97472286]\n",
      " [-2.10710883]]\n",
      "1442 Cost:  4.86676 \n",
      "Prediction:\n",
      " [[-1.61825418]\n",
      " [-1.0859158 ]\n",
      " [-1.44289148]\n",
      " [-1.88926077]\n",
      " [-1.63269901]\n",
      " [-1.78555965]\n",
      " [-1.97466838]\n",
      " [-2.10705495]]\n",
      "1443 Cost:  4.86641 \n",
      "Prediction:\n",
      " [[-1.61814737]\n",
      " [-1.08581161]\n",
      " [-1.44280362]\n",
      " [-1.88919163]\n",
      " [-1.63261795]\n",
      " [-1.78548121]\n",
      " [-1.9746139 ]\n",
      " [-2.1070013 ]]\n",
      "1444 Cost:  4.86606 \n",
      "Prediction:\n",
      " [[-1.61804032]\n",
      " [-1.08570719]\n",
      " [-1.44271588]\n",
      " [-1.88912237]\n",
      " [-1.63253713]\n",
      " [-1.78540289]\n",
      " [-1.97455931]\n",
      " [-2.10694742]]\n",
      "1445 Cost:  4.8657 \n",
      "Prediction:\n",
      " [[-1.61793351]\n",
      " [-1.08560288]\n",
      " [-1.44262791]\n",
      " [-1.88905323]\n",
      " [-1.63245606]\n",
      " [-1.78532445]\n",
      " [-1.97450483]\n",
      " [-2.10689378]]\n",
      "1446 Cost:  4.86535 \n",
      "Prediction:\n",
      " [[-1.61782646]\n",
      " [-1.08549833]\n",
      " [-1.44254005]\n",
      " [-1.88898396]\n",
      " [-1.63237512]\n",
      " [-1.78524601]\n",
      " [-1.97445035]\n",
      " [-2.1068399 ]]\n",
      "1447 Cost:  4.865 \n",
      "Prediction:\n",
      " [[-1.61771965]\n",
      " [-1.08539402]\n",
      " [-1.44245219]\n",
      " [-1.88891482]\n",
      " [-1.63229418]\n",
      " [-1.78516769]\n",
      " [-1.97439575]\n",
      " [-2.10678625]]\n",
      "1448 Cost:  4.86465 \n",
      "Prediction:\n",
      " [[-1.61761272]\n",
      " [-1.08528972]\n",
      " [-1.44236434]\n",
      " [-1.88884556]\n",
      " [-1.63221323]\n",
      " [-1.78508925]\n",
      " [-1.97434127]\n",
      " [-2.10673237]]\n",
      "1449 Cost:  4.8643 \n",
      "Prediction:\n",
      " [[-1.61750579]\n",
      " [-1.08518529]\n",
      " [-1.4422766 ]\n",
      " [-1.8887763 ]\n",
      " [-1.63213229]\n",
      " [-1.78501081]\n",
      " [-1.97428679]\n",
      " [-2.10667872]]\n",
      "1450 Cost:  4.86395 \n",
      "Prediction:\n",
      " [[-1.61739886]\n",
      " [-1.08508098]\n",
      " [-1.44218874]\n",
      " [-1.88870716]\n",
      " [-1.63205123]\n",
      " [-1.78493237]\n",
      " [-1.97423232]\n",
      " [-2.10662508]]\n",
      "1451 Cost:  4.8636 \n",
      "Prediction:\n",
      " [[-1.61729193]\n",
      " [-1.08497667]\n",
      " [-1.44210076]\n",
      " [-1.8886379 ]\n",
      " [-1.63197029]\n",
      " [-1.78485405]\n",
      " [-1.97417784]\n",
      " [-2.1065712 ]]\n",
      "1452 Cost:  4.86325 \n",
      "Prediction:\n",
      " [[-1.617185  ]\n",
      " [-1.08487225]\n",
      " [-1.44201303]\n",
      " [-1.88856864]\n",
      " [-1.63188922]\n",
      " [-1.78477573]\n",
      " [-1.97412324]\n",
      " [-2.10651731]]\n",
      "1453 Cost:  4.8629 \n",
      "Prediction:\n",
      " [[-1.61707807]\n",
      " [-1.08476782]\n",
      " [-1.44192505]\n",
      " [-1.8884995 ]\n",
      " [-1.63180828]\n",
      " [-1.78469729]\n",
      " [-1.97406876]\n",
      " [-2.10646367]]\n",
      "1454 Cost:  4.86255 \n",
      "Prediction:\n",
      " [[-1.61697114]\n",
      " [-1.08466351]\n",
      " [-1.44183719]\n",
      " [-1.88843024]\n",
      " [-1.63172734]\n",
      " [-1.78461885]\n",
      " [-1.97401428]\n",
      " [-2.10641003]]\n",
      "1455 Cost:  4.8622 \n",
      "Prediction:\n",
      " [[-1.6168642 ]\n",
      " [-1.0845592 ]\n",
      " [-1.44174933]\n",
      " [-1.88836098]\n",
      " [-1.63164639]\n",
      " [-1.78454041]\n",
      " [-1.97395968]\n",
      " [-2.10635614]]\n",
      "1456 Cost:  4.86185 \n",
      "Prediction:\n",
      " [[-1.61675739]\n",
      " [-1.08445477]\n",
      " [-1.44166148]\n",
      " [-1.88829184]\n",
      " [-1.63156533]\n",
      " [-1.78446209]\n",
      " [-1.97390521]\n",
      " [-2.1063025 ]]\n",
      "1457 Cost:  4.8615 \n",
      "Prediction:\n",
      " [[-1.61665034]\n",
      " [-1.08435035]\n",
      " [-1.44157362]\n",
      " [-1.88822258]\n",
      " [-1.63148439]\n",
      " [-1.78438365]\n",
      " [-1.97385073]\n",
      " [-2.10624862]]\n",
      "1458 Cost:  4.86115 \n",
      "Prediction:\n",
      " [[-1.61654353]\n",
      " [-1.08424604]\n",
      " [-1.44148588]\n",
      " [-1.88815343]\n",
      " [-1.63140345]\n",
      " [-1.78430533]\n",
      " [-1.97379613]\n",
      " [-2.10619497]]\n",
      "1459 Cost:  4.8608 \n",
      "Prediction:\n",
      " [[-1.6164366 ]\n",
      " [-1.08414161]\n",
      " [-1.44139791]\n",
      " [-1.88808417]\n",
      " [-1.63132238]\n",
      " [-1.78422689]\n",
      " [-1.97374165]\n",
      " [-2.10614109]]\n",
      "1460 Cost:  4.86045 \n",
      "Prediction:\n",
      " [[-1.61632967]\n",
      " [-1.0840373 ]\n",
      " [-1.44131005]\n",
      " [-1.88801503]\n",
      " [-1.63124144]\n",
      " [-1.78414845]\n",
      " [-1.97368717]\n",
      " [-2.10608745]]\n",
      "1461 Cost:  4.8601 \n",
      "Prediction:\n",
      " [[-1.61622274]\n",
      " [-1.083933  ]\n",
      " [-1.44122231]\n",
      " [-1.88794589]\n",
      " [-1.6311605 ]\n",
      " [-1.78407013]\n",
      " [-1.97363257]\n",
      " [-2.10603356]]\n",
      "1462 Cost:  4.85974 \n",
      "Prediction:\n",
      " [[-1.61611581]\n",
      " [-1.08382869]\n",
      " [-1.44113445]\n",
      " [-1.88787651]\n",
      " [-1.63107944]\n",
      " [-1.78399169]\n",
      " [-1.9735781 ]\n",
      " [-2.10597992]]\n",
      "1463 Cost:  4.85939 \n",
      "Prediction:\n",
      " [[-1.616009  ]\n",
      " [-1.08372414]\n",
      " [-1.44104648]\n",
      " [-1.88780737]\n",
      " [-1.63099849]\n",
      " [-1.78391337]\n",
      " [-1.97352362]\n",
      " [-2.10592604]]\n",
      "1464 Cost:  4.85904 \n",
      "Prediction:\n",
      " [[-1.61590195]\n",
      " [-1.08361983]\n",
      " [-1.44095874]\n",
      " [-1.88773823]\n",
      " [-1.63091755]\n",
      " [-1.78383493]\n",
      " [-1.97346902]\n",
      " [-2.10587239]]\n",
      "1465 Cost:  4.85869 \n",
      "Prediction:\n",
      " [[-1.61579514]\n",
      " [-1.08351552]\n",
      " [-1.44087076]\n",
      " [-1.88766897]\n",
      " [-1.63083661]\n",
      " [-1.78375661]\n",
      " [-1.97341466]\n",
      " [-2.10581851]]\n",
      "1466 Cost:  4.85834 \n",
      "Prediction:\n",
      " [[-1.6156882 ]\n",
      " [-1.0834111 ]\n",
      " [-1.4407829 ]\n",
      " [-1.88759971]\n",
      " [-1.63075566]\n",
      " [-1.78367817]\n",
      " [-1.97336006]\n",
      " [-2.10576487]]\n",
      "1467 Cost:  4.85799 \n",
      "Prediction:\n",
      " [[-1.61558127]\n",
      " [-1.08330679]\n",
      " [-1.44069505]\n",
      " [-1.88753057]\n",
      " [-1.6306746 ]\n",
      " [-1.78359985]\n",
      " [-1.97330546]\n",
      " [-2.10571098]]\n",
      "1468 Cost:  4.85764 \n",
      "Prediction:\n",
      " [[-1.61547446]\n",
      " [-1.08320236]\n",
      " [-1.44060731]\n",
      " [-1.8874613 ]\n",
      " [-1.63059366]\n",
      " [-1.78352141]\n",
      " [-1.97325099]\n",
      " [-2.10565734]]\n",
      "1469 Cost:  4.85729 \n",
      "Prediction:\n",
      " [[-1.61536741]\n",
      " [-1.08309805]\n",
      " [-1.44051945]\n",
      " [-1.88739204]\n",
      " [-1.63051271]\n",
      " [-1.78344297]\n",
      " [-1.97319651]\n",
      " [-2.10560369]]\n",
      "1470 Cost:  4.85694 \n",
      "Prediction:\n",
      " [[-1.6152606 ]\n",
      " [-1.08299375]\n",
      " [-1.44043159]\n",
      " [-1.8873229 ]\n",
      " [-1.63043165]\n",
      " [-1.78336453]\n",
      " [-1.97314203]\n",
      " [-2.10554981]]\n",
      "1471 Cost:  4.85659 \n",
      "Prediction:\n",
      " [[-1.61515367]\n",
      " [-1.08288932]\n",
      " [-1.44034374]\n",
      " [-1.88725376]\n",
      " [-1.63035071]\n",
      " [-1.78328621]\n",
      " [-1.97308755]\n",
      " [-2.10549617]]\n",
      "1472 Cost:  4.85624 \n",
      "Prediction:\n",
      " [[-1.61504674]\n",
      " [-1.08278501]\n",
      " [-1.44025588]\n",
      " [-1.8871845 ]\n",
      " [-1.63026977]\n",
      " [-1.78320789]\n",
      " [-1.97303295]\n",
      " [-2.10544229]]\n",
      "1473 Cost:  4.85589 \n",
      "Prediction:\n",
      " [[-1.61493993]\n",
      " [-1.08268058]\n",
      " [-1.44016802]\n",
      " [-1.88711524]\n",
      " [-1.63018882]\n",
      " [-1.78312945]\n",
      " [-1.97297847]\n",
      " [-2.10538864]]\n",
      "1474 Cost:  4.85554 \n",
      "Prediction:\n",
      " [[-1.61483288]\n",
      " [-1.08257627]\n",
      " [-1.44008017]\n",
      " [-1.8870461 ]\n",
      " [-1.63010788]\n",
      " [-1.78305101]\n",
      " [-1.97292399]\n",
      " [-2.10533476]]\n",
      "1475 Cost:  4.85519 \n",
      "Prediction:\n",
      " [[-1.61472607]\n",
      " [-1.08247197]\n",
      " [-1.43999231]\n",
      " [-1.88697684]\n",
      " [-1.63002682]\n",
      " [-1.78297269]\n",
      " [-1.9728694 ]\n",
      " [-2.10528111]]\n",
      "1476 Cost:  4.85484 \n",
      "Prediction:\n",
      " [[-1.61461926]\n",
      " [-1.08236754]\n",
      " [-1.43990445]\n",
      " [-1.8869077 ]\n",
      " [-1.62994587]\n",
      " [-1.78289437]\n",
      " [-1.97281492]\n",
      " [-2.10522723]]\n",
      "1477 Cost:  4.85449 \n",
      "Prediction:\n",
      " [[-1.61451244]\n",
      " [-1.08226323]\n",
      " [-1.43981671]\n",
      " [-1.88683844]\n",
      " [-1.62986505]\n",
      " [-1.78281593]\n",
      " [-1.97276044]\n",
      " [-2.10517359]]\n",
      "1478 Cost:  4.85414 \n",
      "Prediction:\n",
      " [[-1.61440551]\n",
      " [-1.08215904]\n",
      " [-1.43972886]\n",
      " [-1.88676929]\n",
      " [-1.62978399]\n",
      " [-1.78273749]\n",
      " [-1.97270584]\n",
      " [-2.10511971]]\n",
      "1479 Cost:  4.85379 \n",
      "Prediction:\n",
      " [[-1.6142987 ]\n",
      " [-1.08205462]\n",
      " [-1.439641  ]\n",
      " [-1.88670015]\n",
      " [-1.62970304]\n",
      " [-1.78265929]\n",
      " [-1.97265136]\n",
      " [-2.10506606]]\n",
      "1480 Cost:  4.85344 \n",
      "Prediction:\n",
      " [[-1.61419177]\n",
      " [-1.08195031]\n",
      " [-1.43955326]\n",
      " [-1.88663101]\n",
      " [-1.62962222]\n",
      " [-1.78258085]\n",
      " [-1.97259688]\n",
      " [-2.10501242]]\n",
      "1481 Cost:  4.85309 \n",
      "Prediction:\n",
      " [[-1.61408496]\n",
      " [-1.081846  ]\n",
      " [-1.4394654 ]\n",
      " [-1.88656175]\n",
      " [-1.62954116]\n",
      " [-1.78250253]\n",
      " [-1.97254229]\n",
      " [-2.10495853]]\n",
      "1482 Cost:  4.85274 \n",
      "Prediction:\n",
      " [[-1.61397815]\n",
      " [-1.08174181]\n",
      " [-1.43937755]\n",
      " [-1.88649249]\n",
      " [-1.62946033]\n",
      " [-1.78242421]\n",
      " [-1.97248793]\n",
      " [-2.10490489]]\n",
      "1483 Cost:  4.85239 \n",
      "Prediction:\n",
      " [[-1.61387134]\n",
      " [-1.08163738]\n",
      " [-1.43928981]\n",
      " [-1.88642335]\n",
      " [-1.62937927]\n",
      " [-1.78234577]\n",
      " [-1.97243333]\n",
      " [-2.10485101]]\n",
      "1484 Cost:  4.85204 \n",
      "Prediction:\n",
      " [[-1.61376452]\n",
      " [-1.08153307]\n",
      " [-1.43920207]\n",
      " [-1.88635421]\n",
      " [-1.62929845]\n",
      " [-1.78226745]\n",
      " [-1.97237885]\n",
      " [-2.10479736]]\n",
      "1485 Cost:  4.85169 \n",
      "Prediction:\n",
      " [[-1.61365771]\n",
      " [-1.08142889]\n",
      " [-1.43911421]\n",
      " [-1.88628507]\n",
      " [-1.62921739]\n",
      " [-1.78218913]\n",
      " [-1.97232437]\n",
      " [-2.10474348]]\n",
      "1486 Cost:  4.85134 \n",
      "Prediction:\n",
      " [[-1.6135509 ]\n",
      " [-1.08132458]\n",
      " [-1.43902636]\n",
      " [-1.88621593]\n",
      " [-1.62913656]\n",
      " [-1.78211069]\n",
      " [-1.97226977]\n",
      " [-2.10468984]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1487 Cost:  4.85099 \n",
      "Prediction:\n",
      " [[-1.61344409]\n",
      " [-1.08122015]\n",
      " [-1.43893862]\n",
      " [-1.88614666]\n",
      " [-1.6290555 ]\n",
      " [-1.78203237]\n",
      " [-1.97221529]\n",
      " [-2.10463619]]\n",
      "1488 Cost:  4.85064 \n",
      "Prediction:\n",
      " [[-1.61333716]\n",
      " [-1.08111584]\n",
      " [-1.43885064]\n",
      " [-1.8860774 ]\n",
      " [-1.62897468]\n",
      " [-1.78195405]\n",
      " [-1.97216082]\n",
      " [-2.10458231]]\n",
      "1489 Cost:  4.85029 \n",
      "Prediction:\n",
      " [[-1.61323035]\n",
      " [-1.08101165]\n",
      " [-1.4387629 ]\n",
      " [-1.88600826]\n",
      " [-1.62889361]\n",
      " [-1.78187561]\n",
      " [-1.97210622]\n",
      " [-2.10452843]]\n",
      "1490 Cost:  4.84994 \n",
      "Prediction:\n",
      " [[-1.61312354]\n",
      " [-1.08090723]\n",
      " [-1.43867517]\n",
      " [-1.88593912]\n",
      " [-1.62881279]\n",
      " [-1.78179741]\n",
      " [-1.97205174]\n",
      " [-2.10447478]]\n",
      "1491 Cost:  4.84959 \n",
      "Prediction:\n",
      " [[-1.61301672]\n",
      " [-1.08080292]\n",
      " [-1.43858731]\n",
      " [-1.88586986]\n",
      " [-1.62873185]\n",
      " [-1.78171897]\n",
      " [-1.97199726]\n",
      " [-2.10442114]]\n",
      "1492 Cost:  4.84924 \n",
      "Prediction:\n",
      " [[-1.61290979]\n",
      " [-1.08069873]\n",
      " [-1.43849945]\n",
      " [-1.88580072]\n",
      " [-1.6286509 ]\n",
      " [-1.78164053]\n",
      " [-1.97194278]\n",
      " [-2.10436726]]\n",
      "1493 Cost:  4.84889 \n",
      "Prediction:\n",
      " [[-1.61280298]\n",
      " [-1.0805943 ]\n",
      " [-1.43841171]\n",
      " [-1.88573146]\n",
      " [-1.62856996]\n",
      " [-1.78156221]\n",
      " [-1.9718883 ]\n",
      " [-2.10431361]]\n",
      "1494 Cost:  4.84854 \n",
      "Prediction:\n",
      " [[-1.61269617]\n",
      " [-1.08049011]\n",
      " [-1.43832386]\n",
      " [-1.88566232]\n",
      " [-1.62848902]\n",
      " [-1.78148389]\n",
      " [-1.97183371]\n",
      " [-2.10425973]]\n",
      "1495 Cost:  4.84819 \n",
      "Prediction:\n",
      " [[-1.61258936]\n",
      " [-1.08038568]\n",
      " [-1.43823612]\n",
      " [-1.88559318]\n",
      " [-1.62840819]\n",
      " [-1.78140557]\n",
      " [-1.97177923]\n",
      " [-2.10420609]]\n",
      "1496 Cost:  4.84784 \n",
      "Prediction:\n",
      " [[-1.61248255]\n",
      " [-1.0802815 ]\n",
      " [-1.43814826]\n",
      " [-1.88552403]\n",
      " [-1.62832713]\n",
      " [-1.78132725]\n",
      " [-1.97172475]\n",
      " [-2.1041522 ]]\n",
      "1497 Cost:  4.84749 \n",
      "Prediction:\n",
      " [[-1.61237574]\n",
      " [-1.08017707]\n",
      " [-1.4380604 ]\n",
      " [-1.88545489]\n",
      " [-1.62824631]\n",
      " [-1.78124881]\n",
      " [-1.97167015]\n",
      " [-2.10409856]]\n",
      "1498 Cost:  4.84714 \n",
      "Prediction:\n",
      " [[-1.61226892]\n",
      " [-1.08007288]\n",
      " [-1.43797266]\n",
      " [-1.88538563]\n",
      " [-1.62816525]\n",
      " [-1.78117049]\n",
      " [-1.97161567]\n",
      " [-2.10404491]]\n",
      "1499 Cost:  4.84679 \n",
      "Prediction:\n",
      " [[-1.61216211]\n",
      " [-1.07996857]\n",
      " [-1.43788481]\n",
      " [-1.88531637]\n",
      " [-1.62808442]\n",
      " [-1.78109217]\n",
      " [-1.97156119]\n",
      " [-2.10399103]]\n",
      "1500 Cost:  4.84644 \n",
      "Prediction:\n",
      " [[-1.6120553 ]\n",
      " [-1.07986426]\n",
      " [-1.43779707]\n",
      " [-1.88524723]\n",
      " [-1.62800336]\n",
      " [-1.78101373]\n",
      " [-1.9715066 ]\n",
      " [-2.10393739]]\n",
      "1501 Cost:  4.84609 \n",
      "Prediction:\n",
      " [[-1.61194849]\n",
      " [-1.07975984]\n",
      " [-1.43770933]\n",
      " [-1.88517809]\n",
      " [-1.62792253]\n",
      " [-1.78093553]\n",
      " [-1.97145224]\n",
      " [-2.1038835 ]]\n",
      "1502 Cost:  4.84574 \n",
      "Prediction:\n",
      " [[-1.61184168]\n",
      " [-1.07965565]\n",
      " [-1.43762147]\n",
      " [-1.88510895]\n",
      " [-1.62784147]\n",
      " [-1.78085709]\n",
      " [-1.97139764]\n",
      " [-2.10382986]]\n",
      "1503 Cost:  4.84539 \n",
      "Prediction:\n",
      " [[-1.61173487]\n",
      " [-1.07955146]\n",
      " [-1.43753362]\n",
      " [-1.88503981]\n",
      " [-1.62776065]\n",
      " [-1.78077877]\n",
      " [-1.97134316]\n",
      " [-2.10377598]]\n",
      "1504 Cost:  4.84504 \n",
      "Prediction:\n",
      " [[-1.61162806]\n",
      " [-1.07944703]\n",
      " [-1.43744588]\n",
      " [-1.88497066]\n",
      " [-1.62767971]\n",
      " [-1.78070045]\n",
      " [-1.97128868]\n",
      " [-2.10372233]]\n",
      "1505 Cost:  4.84469 \n",
      "Prediction:\n",
      " [[-1.61152124]\n",
      " [-1.07934284]\n",
      " [-1.43735802]\n",
      " [-1.8849014 ]\n",
      " [-1.62759876]\n",
      " [-1.78062201]\n",
      " [-1.97123408]\n",
      " [-2.10366845]]\n",
      "1506 Cost:  4.84434 \n",
      "Prediction:\n",
      " [[-1.61141443]\n",
      " [-1.07923853]\n",
      " [-1.43727016]\n",
      " [-1.88483214]\n",
      " [-1.62751782]\n",
      " [-1.78054368]\n",
      " [-1.9711796 ]\n",
      " [-2.10361481]]\n",
      "1507 Cost:  4.84399 \n",
      "Prediction:\n",
      " [[-1.61130762]\n",
      " [-1.07913423]\n",
      " [-1.43718243]\n",
      " [-1.884763  ]\n",
      " [-1.62743688]\n",
      " [-1.78046536]\n",
      " [-1.97112513]\n",
      " [-2.10356092]]\n",
      "1508 Cost:  4.84364 \n",
      "Prediction:\n",
      " [[-1.61120081]\n",
      " [-1.0790298 ]\n",
      " [-1.43709469]\n",
      " [-1.88469386]\n",
      " [-1.62735605]\n",
      " [-1.78038704]\n",
      " [-1.97107053]\n",
      " [-2.10350728]]\n",
      "1509 Cost:  4.84329 \n",
      "Prediction:\n",
      " [[-1.611094  ]\n",
      " [-1.07892561]\n",
      " [-1.43700683]\n",
      " [-1.88462472]\n",
      " [-1.62727499]\n",
      " [-1.78030872]\n",
      " [-1.97101617]\n",
      " [-2.10345364]]\n",
      "1510 Cost:  4.84294 \n",
      "Prediction:\n",
      " [[-1.61098719]\n",
      " [-1.07882118]\n",
      " [-1.43691909]\n",
      " [-1.88455546]\n",
      " [-1.62719417]\n",
      " [-1.78023028]\n",
      " [-1.97096157]\n",
      " [-2.10339975]]\n",
      "1511 Cost:  4.84259 \n",
      "Prediction:\n",
      " [[-1.61088037]\n",
      " [-1.07871699]\n",
      " [-1.43683124]\n",
      " [-1.88448632]\n",
      " [-1.62711322]\n",
      " [-1.78015196]\n",
      " [-1.97090709]\n",
      " [-2.10334611]]\n",
      "1512 Cost:  4.84224 \n",
      "Prediction:\n",
      " [[-1.61077356]\n",
      " [-1.07861269]\n",
      " [-1.43674338]\n",
      " [-1.88441706]\n",
      " [-1.62703228]\n",
      " [-1.78007364]\n",
      " [-1.97085261]\n",
      " [-2.10329223]]\n",
      "1513 Cost:  4.8419 \n",
      "Prediction:\n",
      " [[-1.61066675]\n",
      " [-1.0785085 ]\n",
      " [-1.43665564]\n",
      " [-1.88434792]\n",
      " [-1.62695134]\n",
      " [-1.77999532]\n",
      " [-1.97079802]\n",
      " [-2.10323858]]\n",
      "1514 Cost:  4.84155 \n",
      "Prediction:\n",
      " [[-1.61055994]\n",
      " [-1.07840407]\n",
      " [-1.43656778]\n",
      " [-1.88427877]\n",
      " [-1.62687039]\n",
      " [-1.779917  ]\n",
      " [-1.97074354]\n",
      " [-2.1031847 ]]\n",
      "1515 Cost:  4.8412 \n",
      "Prediction:\n",
      " [[-1.61045313]\n",
      " [-1.07829988]\n",
      " [-1.43648005]\n",
      " [-1.88420963]\n",
      " [-1.62678957]\n",
      " [-1.77983856]\n",
      " [-1.97068906]\n",
      " [-2.10313106]]\n",
      "1516 Cost:  4.84085 \n",
      "Prediction:\n",
      " [[-1.61034632]\n",
      " [-1.07819557]\n",
      " [-1.43639219]\n",
      " [-1.88414037]\n",
      " [-1.62670851]\n",
      " [-1.77976024]\n",
      " [-1.97063446]\n",
      " [-2.10307741]]\n",
      "1517 Cost:  4.8405 \n",
      "Prediction:\n",
      " [[-1.61023951]\n",
      " [-1.07809126]\n",
      " [-1.43630445]\n",
      " [-1.88407135]\n",
      " [-1.62662768]\n",
      " [-1.77968192]\n",
      " [-1.97057998]\n",
      " [-2.10302353]]\n",
      "1518 Cost:  4.84015 \n",
      "Prediction:\n",
      " [[-1.61013269]\n",
      " [-1.07798696]\n",
      " [-1.43621659]\n",
      " [-1.88400209]\n",
      " [-1.62654674]\n",
      " [-1.7796036 ]\n",
      " [-1.9705255 ]\n",
      " [-2.10296988]]\n",
      "1519 Cost:  4.8398 \n",
      "Prediction:\n",
      " [[-1.61002588]\n",
      " [-1.07788277]\n",
      " [-1.43612885]\n",
      " [-1.88393283]\n",
      " [-1.6264658 ]\n",
      " [-1.77952528]\n",
      " [-1.97047102]\n",
      " [-2.102916  ]]\n",
      "1520 Cost:  4.83945 \n",
      "Prediction:\n",
      " [[-1.60991907]\n",
      " [-1.07777858]\n",
      " [-1.43604112]\n",
      " [-1.88386381]\n",
      " [-1.62638485]\n",
      " [-1.77944684]\n",
      " [-1.97041655]\n",
      " [-2.10286236]]\n",
      "1521 Cost:  4.8391 \n",
      "Prediction:\n",
      " [[-1.60981226]\n",
      " [-1.07767415]\n",
      " [-1.43595338]\n",
      " [-1.88379455]\n",
      " [-1.62630391]\n",
      " [-1.77936852]\n",
      " [-1.97036195]\n",
      " [-2.10280848]]\n",
      "1522 Cost:  4.83875 \n",
      "Prediction:\n",
      " [[-1.60970545]\n",
      " [-1.07756996]\n",
      " [-1.43586564]\n",
      " [-1.8837254 ]\n",
      " [-1.62622309]\n",
      " [-1.7792902 ]\n",
      " [-1.97030759]\n",
      " [-2.10275483]]\n",
      "1523 Cost:  4.8384 \n",
      "Prediction:\n",
      " [[-1.60959864]\n",
      " [-1.07746577]\n",
      " [-1.4357779 ]\n",
      " [-1.88365626]\n",
      " [-1.62614214]\n",
      " [-1.779212  ]\n",
      " [-1.97025299]\n",
      " [-2.10270119]]\n",
      "1524 Cost:  4.83805 \n",
      "Prediction:\n",
      " [[-1.60949183]\n",
      " [-1.07736158]\n",
      " [-1.43569005]\n",
      " [-1.88358712]\n",
      " [-1.62606132]\n",
      " [-1.77913356]\n",
      " [-1.97019851]\n",
      " [-2.10264754]]\n",
      "1525 Cost:  4.8377 \n",
      "Prediction:\n",
      " [[-1.60938501]\n",
      " [-1.07725739]\n",
      " [-1.43560231]\n",
      " [-1.88351798]\n",
      " [-1.62598038]\n",
      " [-1.77905536]\n",
      " [-1.97014403]\n",
      " [-2.10259366]]\n",
      "1526 Cost:  4.83735 \n",
      "Prediction:\n",
      " [[-1.6092782 ]\n",
      " [-1.07715321]\n",
      " [-1.43551445]\n",
      " [-1.88344884]\n",
      " [-1.62589943]\n",
      " [-1.77897692]\n",
      " [-1.97008955]\n",
      " [-2.10254002]]\n",
      "1527 Cost:  4.837 \n",
      "Prediction:\n",
      " [[-1.60917139]\n",
      " [-1.07704878]\n",
      " [-1.43542671]\n",
      " [-1.88337958]\n",
      " [-1.62581849]\n",
      " [-1.77889872]\n",
      " [-1.97003508]\n",
      " [-2.10248637]]\n",
      "1528 Cost:  4.83665 \n",
      "Prediction:\n",
      " [[-1.60906458]\n",
      " [-1.07694471]\n",
      " [-1.43533897]\n",
      " [-1.88331032]\n",
      " [-1.62573767]\n",
      " [-1.77882028]\n",
      " [-1.96998048]\n",
      " [-2.10243249]]\n",
      "1529 Cost:  4.8363 \n",
      "Prediction:\n",
      " [[-1.60895789]\n",
      " [-1.0768404 ]\n",
      " [-1.43525124]\n",
      " [-1.8832413 ]\n",
      " [-1.62565672]\n",
      " [-1.77874196]\n",
      " [-1.96992612]\n",
      " [-2.10237885]]\n",
      "1530 Cost:  4.83596 \n",
      "Prediction:\n",
      " [[-1.60885108]\n",
      " [-1.07673633]\n",
      " [-1.4351635 ]\n",
      " [-1.88317204]\n",
      " [-1.6255759 ]\n",
      " [-1.77866364]\n",
      " [-1.96987152]\n",
      " [-2.1023252 ]]\n",
      "1531 Cost:  4.83561 \n",
      "Prediction:\n",
      " [[-1.60874426]\n",
      " [-1.07663202]\n",
      " [-1.43507576]\n",
      " [-1.88310289]\n",
      " [-1.62549496]\n",
      " [-1.77858543]\n",
      " [-1.96981716]\n",
      " [-2.10227132]]\n",
      "1532 Cost:  4.83526 \n",
      "Prediction:\n",
      " [[-1.60863745]\n",
      " [-1.07652783]\n",
      " [-1.43498802]\n",
      " [-1.88303375]\n",
      " [-1.62541413]\n",
      " [-1.77850699]\n",
      " [-1.96976256]\n",
      " [-2.10221767]]\n",
      "1533 Cost:  4.83491 \n",
      "Prediction:\n",
      " [[-1.60853076]\n",
      " [-1.07642365]\n",
      " [-1.43490016]\n",
      " [-1.88296461]\n",
      " [-1.62533319]\n",
      " [-1.77842879]\n",
      " [-1.96970809]\n",
      " [-2.10216403]]\n",
      "1534 Cost:  4.83456 \n",
      "Prediction:\n",
      " [[-1.60842395]\n",
      " [-1.07631934]\n",
      " [-1.43481243]\n",
      " [-1.88289547]\n",
      " [-1.62525225]\n",
      " [-1.77835035]\n",
      " [-1.96965361]\n",
      " [-2.10211015]]\n",
      "1535 Cost:  4.83421 \n",
      "Prediction:\n",
      " [[-1.60831714]\n",
      " [-1.07621515]\n",
      " [-1.43472469]\n",
      " [-1.88282633]\n",
      " [-1.62517142]\n",
      " [-1.77827203]\n",
      " [-1.96959913]\n",
      " [-2.1020565 ]]\n",
      "1536 Cost:  4.83386 \n",
      "Prediction:\n",
      " [[-1.60821033]\n",
      " [-1.07611096]\n",
      " [-1.43463695]\n",
      " [-1.88275707]\n",
      " [-1.62509036]\n",
      " [-1.77819371]\n",
      " [-1.96954465]\n",
      " [-2.10200286]]\n",
      "1537 Cost:  4.83351 \n",
      "Prediction:\n",
      " [[-1.60810351]\n",
      " [-1.07600677]\n",
      " [-1.43454921]\n",
      " [-1.88268805]\n",
      " [-1.62500954]\n",
      " [-1.77811551]\n",
      " [-1.96949005]\n",
      " [-2.10194921]]\n",
      "1538 Cost:  4.83316 \n",
      "Prediction:\n",
      " [[-1.6079967 ]\n",
      " [-1.07590246]\n",
      " [-1.43446147]\n",
      " [-1.88261878]\n",
      " [-1.62492859]\n",
      " [-1.77803719]\n",
      " [-1.96943569]\n",
      " [-2.10189533]]\n",
      "1539 Cost:  4.83281 \n",
      "Prediction:\n",
      " [[-1.60788989]\n",
      " [-1.07579827]\n",
      " [-1.43437362]\n",
      " [-1.88254964]\n",
      " [-1.62484777]\n",
      " [-1.77795887]\n",
      " [-1.96938109]\n",
      " [-2.10184169]]\n",
      "1540 Cost:  4.83246 \n",
      "Prediction:\n",
      " [[-1.60778308]\n",
      " [-1.07569408]\n",
      " [-1.434286  ]\n",
      " [-1.88248038]\n",
      " [-1.62476683]\n",
      " [-1.77788055]\n",
      " [-1.96932662]\n",
      " [-2.10178804]]\n",
      "1541 Cost:  4.83212 \n",
      "Prediction:\n",
      " [[-1.60767639]\n",
      " [-1.0755899 ]\n",
      " [-1.43419814]\n",
      " [-1.88241124]\n",
      " [-1.624686  ]\n",
      " [-1.77780223]\n",
      " [-1.96927214]\n",
      " [-2.10173416]]\n",
      "1542 Cost:  4.83177 \n",
      "Prediction:\n",
      " [[-1.60756958]\n",
      " [-1.07548559]\n",
      " [-1.4341104 ]\n",
      " [-1.8823421 ]\n",
      " [-1.62460506]\n",
      " [-1.77772391]\n",
      " [-1.96921766]\n",
      " [-2.10168052]]\n",
      "1543 Cost:  4.83142 \n",
      "Prediction:\n",
      " [[-1.60746288]\n",
      " [-1.07538152]\n",
      " [-1.43402267]\n",
      " [-1.88227296]\n",
      " [-1.62452424]\n",
      " [-1.77764559]\n",
      " [-1.96916318]\n",
      " [-2.10162687]]\n",
      "1544 Cost:  4.83107 \n",
      "Prediction:\n",
      " [[-1.60735607]\n",
      " [-1.07527709]\n",
      " [-1.43393493]\n",
      " [-1.88220382]\n",
      " [-1.62444329]\n",
      " [-1.77756727]\n",
      " [-1.96910858]\n",
      " [-2.10157299]]\n",
      "1545 Cost:  4.83072 \n",
      "Prediction:\n",
      " [[-1.60724926]\n",
      " [-1.07517302]\n",
      " [-1.43384719]\n",
      " [-1.88213468]\n",
      " [-1.62436247]\n",
      " [-1.77748895]\n",
      " [-1.96905422]\n",
      " [-2.10151935]]\n",
      "1546 Cost:  4.83037 \n",
      "Prediction:\n",
      " [[-1.60714245]\n",
      " [-1.07506883]\n",
      " [-1.43375933]\n",
      " [-1.88206553]\n",
      " [-1.62428153]\n",
      " [-1.77741063]\n",
      " [-1.96899962]\n",
      " [-2.1014657 ]]\n",
      "1547 Cost:  4.83002 \n",
      "Prediction:\n",
      " [[-1.60703564]\n",
      " [-1.07496464]\n",
      " [-1.43367171]\n",
      " [-1.88199627]\n",
      " [-1.62420058]\n",
      " [-1.77733231]\n",
      " [-1.96894515]\n",
      " [-2.10141182]]\n",
      "1548 Cost:  4.82967 \n",
      "Prediction:\n",
      " [[-1.60692883]\n",
      " [-1.07486033]\n",
      " [-1.43358386]\n",
      " [-1.88192725]\n",
      " [-1.62411976]\n",
      " [-1.7772541 ]\n",
      " [-1.96889067]\n",
      " [-2.10135818]]\n",
      "1549 Cost:  4.82932 \n",
      "Prediction:\n",
      " [[-1.60682213]\n",
      " [-1.07475615]\n",
      " [-1.43349612]\n",
      " [-1.88185799]\n",
      " [-1.62403882]\n",
      " [-1.77717566]\n",
      " [-1.96883619]\n",
      " [-2.10130453]]\n",
      "1550 Cost:  4.82897 \n",
      "Prediction:\n",
      " [[-1.60671532]\n",
      " [-1.07465196]\n",
      " [-1.4334085 ]\n",
      " [-1.88178873]\n",
      " [-1.62395787]\n",
      " [-1.77709746]\n",
      " [-1.96878171]\n",
      " [-2.10125065]]\n",
      "1551 Cost:  4.82863 \n",
      "Prediction:\n",
      " [[-1.60660863]\n",
      " [-1.07454777]\n",
      " [-1.43332076]\n",
      " [-1.88171983]\n",
      " [-1.62387705]\n",
      " [-1.77701914]\n",
      " [-1.96872723]\n",
      " [-2.101197  ]]\n",
      "1552 Cost:  4.82828 \n",
      "Prediction:\n",
      " [[-1.60650182]\n",
      " [-1.07444358]\n",
      " [-1.43323302]\n",
      " [-1.88165057]\n",
      " [-1.62379622]\n",
      " [-1.77694082]\n",
      " [-1.96867275]\n",
      " [-2.10114336]]\n",
      "1553 Cost:  4.82793 \n",
      "Prediction:\n",
      " [[-1.60639524]\n",
      " [-1.07433963]\n",
      " [-1.43314528]\n",
      " [-1.88158143]\n",
      " [-1.6237154 ]\n",
      " [-1.77686262]\n",
      " [-1.96861815]\n",
      " [-2.10108972]]\n",
      "1554 Cost:  4.82758 \n",
      "Prediction:\n",
      " [[-1.60628867]\n",
      " [-1.07423544]\n",
      " [-1.43305779]\n",
      " [-1.8815124 ]\n",
      " [-1.62363458]\n",
      " [-1.77678442]\n",
      " [-1.9685638 ]\n",
      " [-2.10103583]]\n",
      "1555 Cost:  4.82723 \n",
      "Prediction:\n",
      " [[-1.6061821 ]\n",
      " [-1.07413125]\n",
      " [-1.43297005]\n",
      " [-1.88144326]\n",
      " [-1.62355375]\n",
      " [-1.77670622]\n",
      " [-1.96850932]\n",
      " [-2.10098219]]\n",
      "1556 Cost:  4.82688 \n",
      "Prediction:\n",
      " [[-1.60607553]\n",
      " [-1.0740273 ]\n",
      " [-1.43288243]\n",
      " [-1.88137424]\n",
      " [-1.62347305]\n",
      " [-1.77662802]\n",
      " [-1.96845484]\n",
      " [-2.10092854]]\n",
      "1557 Cost:  4.82653 \n",
      "Prediction:\n",
      " [[-1.60596895]\n",
      " [-1.07392323]\n",
      " [-1.43279469]\n",
      " [-1.88130522]\n",
      " [-1.62339222]\n",
      " [-1.7765497 ]\n",
      " [-1.96840036]\n",
      " [-2.10087466]]\n",
      "1558 Cost:  4.82619 \n",
      "Prediction:\n",
      " [[-1.60586238]\n",
      " [-1.07381916]\n",
      " [-1.43270719]\n",
      " [-1.88123608]\n",
      " [-1.6233114 ]\n",
      " [-1.7764715 ]\n",
      " [-1.96834588]\n",
      " [-2.10082102]]\n",
      "1559 Cost:  4.82584 \n",
      "Prediction:\n",
      " [[-1.60575581]\n",
      " [-1.07371497]\n",
      " [-1.43261945]\n",
      " [-1.88116693]\n",
      " [-1.6232307 ]\n",
      " [-1.77639318]\n",
      " [-1.96829152]\n",
      " [-2.10076737]]\n",
      "1560 Cost:  4.82549 \n",
      "Prediction:\n",
      " [[-1.60564911]\n",
      " [-1.07361102]\n",
      " [-1.43253183]\n",
      " [-1.88109791]\n",
      " [-1.62314987]\n",
      " [-1.77631497]\n",
      " [-1.96823692]\n",
      " [-2.10071349]]\n",
      "1561 Cost:  4.82514 \n",
      "Prediction:\n",
      " [[-1.60554254]\n",
      " [-1.07350683]\n",
      " [-1.43244421]\n",
      " [-1.88102889]\n",
      " [-1.62306905]\n",
      " [-1.77623677]\n",
      " [-1.96818256]\n",
      " [-2.10065985]]\n",
      "1562 Cost:  4.82479 \n",
      "Prediction:\n",
      " [[-1.60543597]\n",
      " [-1.07340276]\n",
      " [-1.4323566 ]\n",
      " [-1.88095975]\n",
      " [-1.62298822]\n",
      " [-1.77615857]\n",
      " [-1.96812809]\n",
      " [-2.1006062 ]]\n",
      "1563 Cost:  4.82444 \n",
      "Prediction:\n",
      " [[-1.60532939]\n",
      " [-1.07329881]\n",
      " [-1.43226886]\n",
      " [-1.88089061]\n",
      " [-1.6229074 ]\n",
      " [-1.77608037]\n",
      " [-1.96807361]\n",
      " [-2.10055256]]\n",
      "1564 Cost:  4.8241 \n",
      "Prediction:\n",
      " [[-1.60522282]\n",
      " [-1.07319474]\n",
      " [-1.43218136]\n",
      " [-1.88082147]\n",
      " [-1.62282658]\n",
      " [-1.77600217]\n",
      " [-1.96801913]\n",
      " [-2.10049868]]\n",
      "1565 Cost:  4.82375 \n",
      "Prediction:\n",
      " [[-1.60511613]\n",
      " [-1.07309067]\n",
      " [-1.43209362]\n",
      " [-1.88075256]\n",
      " [-1.62274599]\n",
      " [-1.77592397]\n",
      " [-1.96796465]\n",
      " [-2.10044503]]\n",
      "1566 Cost:  4.8234 \n",
      "Prediction:\n",
      " [[-1.60500979]\n",
      " [-1.07298684]\n",
      " [-1.43200624]\n",
      " [-1.88068366]\n",
      " [-1.62266541]\n",
      " [-1.775846  ]\n",
      " [-1.96791041]\n",
      " [-2.10039163]]\n",
      "1567 Cost:  4.82305 \n",
      "Prediction:\n",
      " [[-1.60490346]\n",
      " [-1.07288313]\n",
      " [-1.43191886]\n",
      " [-1.88061488]\n",
      " [-1.6225847 ]\n",
      " [-1.77576792]\n",
      " [-1.96785617]\n",
      " [-2.10033798]]\n",
      "1568 Cost:  4.82271 \n",
      "Prediction:\n",
      " [[-1.60479712]\n",
      " [-1.07277918]\n",
      " [-1.43183148]\n",
      " [-1.88054597]\n",
      " [-1.62250423]\n",
      " [-1.77569008]\n",
      " [-1.96780193]\n",
      " [-2.10028458]]\n",
      "1569 Cost:  4.82236 \n",
      "Prediction:\n",
      " [[-1.60469079]\n",
      " [-1.07267523]\n",
      " [-1.4317441 ]\n",
      " [-1.88047707]\n",
      " [-1.62242365]\n",
      " [-1.77561188]\n",
      " [-1.96774769]\n",
      " [-2.10023117]]\n",
      "1570 Cost:  4.82201 \n",
      "Prediction:\n",
      " [[-1.60458446]\n",
      " [-1.07257152]\n",
      " [-1.4316566 ]\n",
      " [-1.88040829]\n",
      " [-1.62234306]\n",
      " [-1.77553403]\n",
      " [-1.96769357]\n",
      " [-2.10017776]]\n",
      "1571 Cost:  4.82166 \n",
      "Prediction:\n",
      " [[-1.60447812]\n",
      " [-1.07246757]\n",
      " [-1.43156934]\n",
      " [-1.88033938]\n",
      " [-1.6222626 ]\n",
      " [-1.77545607]\n",
      " [-1.96763933]\n",
      " [-2.10012412]]\n",
      "1572 Cost:  4.82132 \n",
      "Prediction:\n",
      " [[-1.60437179]\n",
      " [-1.07236385]\n",
      " [-1.43148184]\n",
      " [-1.88027072]\n",
      " [-1.62218213]\n",
      " [-1.77537799]\n",
      " [-1.96758509]\n",
      " [-2.10007071]]\n",
      "1573 Cost:  4.82097 \n",
      "Prediction:\n",
      " [[-1.60426545]\n",
      " [-1.0722599 ]\n",
      " [-1.43139458]\n",
      " [-1.88020182]\n",
      " [-1.62210155]\n",
      " [-1.77530015]\n",
      " [-1.96753085]\n",
      " [-2.10001731]]\n",
      "1574 Cost:  4.82062 \n",
      "Prediction:\n",
      " [[-1.60415912]\n",
      " [-1.07215619]\n",
      " [-1.43130708]\n",
      " [-1.88013291]\n",
      " [-1.62202096]\n",
      " [-1.77522206]\n",
      " [-1.96747661]\n",
      " [-2.09996367]]\n",
      "1575 Cost:  4.82028 \n",
      "Prediction:\n",
      " [[-1.60405278]\n",
      " [-1.07205236]\n",
      " [-1.43121958]\n",
      " [-1.88006401]\n",
      " [-1.62194037]\n",
      " [-1.7751441 ]\n",
      " [-1.96742249]\n",
      " [-2.09991026]]\n",
      "1576 Cost:  4.81993 \n",
      "Prediction:\n",
      " [[-1.60394645]\n",
      " [-1.07194853]\n",
      " [-1.4311322 ]\n",
      " [-1.87999523]\n",
      " [-1.62185979]\n",
      " [-1.77506614]\n",
      " [-1.96736813]\n",
      " [-2.09985685]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1577 Cost:  4.81958 \n",
      "Prediction:\n",
      " [[-1.60384011]\n",
      " [-1.0718447 ]\n",
      " [-1.43104482]\n",
      " [-1.87992644]\n",
      " [-1.62177932]\n",
      " [-1.77498817]\n",
      " [-1.967314  ]\n",
      " [-2.09980345]]\n",
      "1578 Cost:  4.81923 \n",
      "Prediction:\n",
      " [[-1.60373378]\n",
      " [-1.07174087]\n",
      " [-1.43095756]\n",
      " [-1.87985754]\n",
      " [-1.62169874]\n",
      " [-1.77491009]\n",
      " [-1.96725965]\n",
      " [-2.0997498 ]]\n",
      "1579 Cost:  4.81889 \n",
      "Prediction:\n",
      " [[-1.60362744]\n",
      " [-1.07163703]\n",
      " [-1.43087006]\n",
      " [-1.87978876]\n",
      " [-1.62161827]\n",
      " [-1.77483225]\n",
      " [-1.96720552]\n",
      " [-2.0996964 ]]\n",
      "1580 Cost:  4.81854 \n",
      "Prediction:\n",
      " [[-1.60352111]\n",
      " [-1.0715332 ]\n",
      " [-1.43078268]\n",
      " [-1.87971985]\n",
      " [-1.62153769]\n",
      " [-1.77475429]\n",
      " [-1.96715128]\n",
      " [-2.09964275]]\n",
      "1581 Cost:  4.81819 \n",
      "Prediction:\n",
      " [[-1.60341477]\n",
      " [-1.07142925]\n",
      " [-1.4306953 ]\n",
      " [-1.87965107]\n",
      " [-1.6214571 ]\n",
      " [-1.77467632]\n",
      " [-1.96709704]\n",
      " [-2.09958935]]\n",
      "1582 Cost:  4.81785 \n",
      "Prediction:\n",
      " [[-1.60330844]\n",
      " [-1.07132554]\n",
      " [-1.43060791]\n",
      " [-1.87958217]\n",
      " [-1.62137651]\n",
      " [-1.77459836]\n",
      " [-1.9670428 ]\n",
      " [-2.09953594]]\n",
      "1583 Cost:  4.8175 \n",
      "Prediction:\n",
      " [[-1.6032021 ]\n",
      " [-1.07122171]\n",
      " [-1.43052053]\n",
      " [-1.87951326]\n",
      " [-1.62129593]\n",
      " [-1.7745204 ]\n",
      " [-1.96698856]\n",
      " [-2.09948254]]\n",
      "1584 Cost:  4.81715 \n",
      "Prediction:\n",
      " [[-1.60309577]\n",
      " [-1.07111788]\n",
      " [-1.43043303]\n",
      " [-1.8794446 ]\n",
      " [-1.62121546]\n",
      " [-1.77444232]\n",
      " [-1.96693444]\n",
      " [-2.09942913]]\n",
      "1585 Cost:  4.8168 \n",
      "Prediction:\n",
      " [[-1.60298944]\n",
      " [-1.07101417]\n",
      " [-1.43034565]\n",
      " [-1.8793757 ]\n",
      " [-1.621135  ]\n",
      " [-1.77436435]\n",
      " [-1.96688008]\n",
      " [-2.09937549]]\n",
      "1586 Cost:  4.81646 \n",
      "Prediction:\n",
      " [[-1.6028831 ]\n",
      " [-1.07091022]\n",
      " [-1.43025827]\n",
      " [-1.87930679]\n",
      " [-1.62105441]\n",
      " [-1.77428639]\n",
      " [-1.96682596]\n",
      " [-2.09932208]]\n",
      "1587 Cost:  4.81611 \n",
      "Prediction:\n",
      " [[-1.60277677]\n",
      " [-1.0708065 ]\n",
      " [-1.43017089]\n",
      " [-1.87923801]\n",
      " [-1.62097383]\n",
      " [-1.77420843]\n",
      " [-1.96677172]\n",
      " [-2.09926844]]\n",
      "1588 Cost:  4.81576 \n",
      "Prediction:\n",
      " [[-1.60267043]\n",
      " [-1.07070255]\n",
      " [-1.43008351]\n",
      " [-1.87916923]\n",
      " [-1.62089324]\n",
      " [-1.77413034]\n",
      " [-1.96671748]\n",
      " [-2.09921503]]\n",
      "1589 Cost:  4.81542 \n",
      "Prediction:\n",
      " [[-1.6025641 ]\n",
      " [-1.07059884]\n",
      " [-1.42999625]\n",
      " [-1.87910032]\n",
      " [-1.62081265]\n",
      " [-1.77405238]\n",
      " [-1.96666324]\n",
      " [-2.09916162]]\n",
      "1590 Cost:  4.81507 \n",
      "Prediction:\n",
      " [[-1.60245776]\n",
      " [-1.07049489]\n",
      " [-1.42990875]\n",
      " [-1.87903142]\n",
      " [-1.62073219]\n",
      " [-1.77397454]\n",
      " [-1.966609  ]\n",
      " [-2.09910822]]\n",
      "1591 Cost:  4.81472 \n",
      "Prediction:\n",
      " [[-1.60235143]\n",
      " [-1.07039118]\n",
      " [-1.42982149]\n",
      " [-1.87896276]\n",
      " [-1.62065172]\n",
      " [-1.77389657]\n",
      " [-1.96655476]\n",
      " [-2.09905457]]\n",
      "1592 Cost:  4.81438 \n",
      "Prediction:\n",
      " [[-1.60224509]\n",
      " [-1.07028735]\n",
      " [-1.42973399]\n",
      " [-1.87889385]\n",
      " [-1.62057114]\n",
      " [-1.77381849]\n",
      " [-1.96650052]\n",
      " [-2.09900117]]\n",
      "1593 Cost:  4.81403 \n",
      "Prediction:\n",
      " [[-1.60213876]\n",
      " [-1.07018363]\n",
      " [-1.42964661]\n",
      " [-1.87882495]\n",
      " [-1.62049055]\n",
      " [-1.77374053]\n",
      " [-1.9664464 ]\n",
      " [-2.09894776]]\n",
      "1594 Cost:  4.81368 \n",
      "Prediction:\n",
      " [[-1.60203242]\n",
      " [-1.0700798 ]\n",
      " [-1.42955923]\n",
      " [-1.87875605]\n",
      " [-1.62040997]\n",
      " [-1.77366257]\n",
      " [-1.96639216]\n",
      " [-2.09889412]]\n",
      "1595 Cost:  4.81334 \n",
      "Prediction:\n",
      " [[-1.60192609]\n",
      " [-1.06997585]\n",
      " [-1.42947185]\n",
      " [-1.87868738]\n",
      " [-1.62032962]\n",
      " [-1.7735846 ]\n",
      " [-1.96633792]\n",
      " [-2.09884071]]\n",
      "1596 Cost:  4.81299 \n",
      "Prediction:\n",
      " [[-1.60181975]\n",
      " [-1.06987214]\n",
      " [-1.42938447]\n",
      " [-1.87861848]\n",
      " [-1.62024891]\n",
      " [-1.77350664]\n",
      " [-1.96628368]\n",
      " [-2.09878731]]\n",
      "1597 Cost:  4.81264 \n",
      "Prediction:\n",
      " [[-1.60171354]\n",
      " [-1.06976819]\n",
      " [-1.42929709]\n",
      " [-1.8785497 ]\n",
      " [-1.62016845]\n",
      " [-1.77342868]\n",
      " [-1.96622944]\n",
      " [-2.0987339 ]]\n",
      "1598 Cost:  4.8123 \n",
      "Prediction:\n",
      " [[-1.6016072 ]\n",
      " [-1.06966448]\n",
      " [-1.42920971]\n",
      " [-1.87848091]\n",
      " [-1.62008786]\n",
      " [-1.77335072]\n",
      " [-1.96617532]\n",
      " [-2.09868026]]\n",
      "1599 Cost:  4.81195 \n",
      "Prediction:\n",
      " [[-1.60150087]\n",
      " [-1.06956053]\n",
      " [-1.42912233]\n",
      " [-1.87841201]\n",
      " [-1.6200074 ]\n",
      " [-1.77327275]\n",
      " [-1.96612096]\n",
      " [-2.09862685]]\n",
      "1600 Cost:  4.8116 \n",
      "Prediction:\n",
      " [[-1.60139453]\n",
      " [-1.06945682]\n",
      " [-1.42903483]\n",
      " [-1.87834322]\n",
      " [-1.61992693]\n",
      " [-1.77319479]\n",
      " [-1.96606684]\n",
      " [-2.09857345]]\n",
      "1601 Cost:  4.81125 \n",
      "Prediction:\n",
      " [[-1.6012882 ]\n",
      " [-1.0693531 ]\n",
      " [-1.42894757]\n",
      " [-1.87827432]\n",
      " [-1.61984634]\n",
      " [-1.77311683]\n",
      " [-1.9660126 ]\n",
      " [-2.0985198 ]]\n",
      "1602 Cost:  4.81091 \n",
      "Prediction:\n",
      " [[-1.60118198]\n",
      " [-1.06924915]\n",
      " [-1.42886019]\n",
      " [-1.87820554]\n",
      " [-1.61976576]\n",
      " [-1.77303886]\n",
      " [-1.96595836]\n",
      " [-2.0984664 ]]\n",
      "1603 Cost:  4.81056 \n",
      "Prediction:\n",
      " [[-1.60107565]\n",
      " [-1.06914544]\n",
      " [-1.42877269]\n",
      " [-1.87813663]\n",
      " [-1.61968517]\n",
      " [-1.7729609 ]\n",
      " [-1.96590412]\n",
      " [-2.09841299]]\n",
      "1604 Cost:  4.81021 \n",
      "Prediction:\n",
      " [[-1.60096931]\n",
      " [-1.06904149]\n",
      " [-1.42868543]\n",
      " [-1.87806785]\n",
      " [-1.61960471]\n",
      " [-1.77288294]\n",
      " [-1.96584988]\n",
      " [-2.09835958]]\n",
      "1605 Cost:  4.80987 \n",
      "Prediction:\n",
      " [[-1.60086298]\n",
      " [-1.06893778]\n",
      " [-1.42859793]\n",
      " [-1.87799907]\n",
      " [-1.61952412]\n",
      " [-1.77280498]\n",
      " [-1.96579576]\n",
      " [-2.09830594]]\n",
      "1606 Cost:  4.80952 \n",
      "Prediction:\n",
      " [[-1.60075665]\n",
      " [-1.06883383]\n",
      " [-1.42851067]\n",
      " [-1.87793016]\n",
      " [-1.61944366]\n",
      " [-1.77272701]\n",
      " [-1.9657414 ]\n",
      " [-2.09825253]]\n",
      "1607 Cost:  4.80917 \n",
      "Prediction:\n",
      " [[-1.60065031]\n",
      " [-1.06873012]\n",
      " [-1.42842317]\n",
      " [-1.87786126]\n",
      " [-1.61936307]\n",
      " [-1.77264905]\n",
      " [-1.96568727]\n",
      " [-2.09819913]]\n",
      "1608 Cost:  4.80883 \n",
      "Prediction:\n",
      " [[-1.60054398]\n",
      " [-1.0686264 ]\n",
      " [-1.42833591]\n",
      " [-1.87779248]\n",
      " [-1.61928248]\n",
      " [-1.77257097]\n",
      " [-1.96563303]\n",
      " [-2.09814548]]\n",
      "1609 Cost:  4.80848 \n",
      "Prediction:\n",
      " [[-1.60043764]\n",
      " [-1.06852245]\n",
      " [-1.42824841]\n",
      " [-1.87772369]\n",
      " [-1.6192019 ]\n",
      " [-1.77249312]\n",
      " [-1.96557879]\n",
      " [-2.09809208]]\n",
      "1610 Cost:  4.80814 \n",
      "Prediction:\n",
      " [[-1.60033143]\n",
      " [-1.06841874]\n",
      " [-1.42816114]\n",
      " [-1.87765479]\n",
      " [-1.61912143]\n",
      " [-1.77241516]\n",
      " [-1.96552455]\n",
      " [-2.09803867]]\n",
      "1611 Cost:  4.80779 \n",
      "Prediction:\n",
      " [[-1.60022509]\n",
      " [-1.06831491]\n",
      " [-1.42807364]\n",
      " [-1.87758601]\n",
      " [-1.61904097]\n",
      " [-1.7723372 ]\n",
      " [-1.96547031]\n",
      " [-2.09798527]]\n",
      "1612 Cost:  4.80744 \n",
      "Prediction:\n",
      " [[-1.60011876]\n",
      " [-1.0682112 ]\n",
      " [-1.42798626]\n",
      " [-1.87751722]\n",
      " [-1.61896038]\n",
      " [-1.77225924]\n",
      " [-1.96541619]\n",
      " [-2.09793162]]\n",
      "1613 Cost:  4.8071 \n",
      "Prediction:\n",
      " [[-1.60001254]\n",
      " [-1.06810737]\n",
      " [-1.427899  ]\n",
      " [-1.87744844]\n",
      " [-1.61887991]\n",
      " [-1.77218127]\n",
      " [-1.96536183]\n",
      " [-2.09787822]]\n",
      "1614 Cost:  4.80675 \n",
      "Prediction:\n",
      " [[-1.59990621]\n",
      " [-1.06800342]\n",
      " [-1.42781162]\n",
      " [-1.87737954]\n",
      " [-1.61879933]\n",
      " [-1.77210331]\n",
      " [-1.96530771]\n",
      " [-2.09782457]]\n",
      "1615 Cost:  4.8064 \n",
      "Prediction:\n",
      " [[-1.59979987]\n",
      " [-1.0678997 ]\n",
      " [-1.42772424]\n",
      " [-1.87731075]\n",
      " [-1.61871886]\n",
      " [-1.77202535]\n",
      " [-1.96525347]\n",
      " [-2.09777117]]\n",
      "1616 Cost:  4.80606 \n",
      "Prediction:\n",
      " [[-1.59969354]\n",
      " [-1.06779599]\n",
      " [-1.42763686]\n",
      " [-1.87724185]\n",
      " [-1.61863828]\n",
      " [-1.77194738]\n",
      " [-1.96519923]\n",
      " [-2.09771776]]\n",
      "1617 Cost:  4.80571 \n",
      "Prediction:\n",
      " [[-1.5995872 ]\n",
      " [-1.06769228]\n",
      " [-1.4275496 ]\n",
      " [-1.87717307]\n",
      " [-1.61855781]\n",
      " [-1.77186942]\n",
      " [-1.96514511]\n",
      " [-2.09766436]]\n",
      "1618 Cost:  4.80536 \n",
      "Prediction:\n",
      " [[-1.59948087]\n",
      " [-1.06758857]\n",
      " [-1.4274621 ]\n",
      " [-1.87710428]\n",
      " [-1.61847734]\n",
      " [-1.77179146]\n",
      " [-1.96509075]\n",
      " [-2.09761095]]\n",
      "1619 Cost:  4.80502 \n",
      "Prediction:\n",
      " [[-1.59937465]\n",
      " [-1.06748486]\n",
      " [-1.42737484]\n",
      " [-1.87703538]\n",
      " [-1.61839676]\n",
      " [-1.7717135 ]\n",
      " [-1.96503663]\n",
      " [-2.09755754]]\n",
      "1620 Cost:  4.80467 \n",
      "Prediction:\n",
      " [[-1.59926832]\n",
      " [-1.06738114]\n",
      " [-1.42728758]\n",
      " [-1.8769666 ]\n",
      " [-1.61831629]\n",
      " [-1.77163565]\n",
      " [-1.96498239]\n",
      " [-2.09750414]]\n",
      "1621 Cost:  4.80432 \n",
      "Prediction:\n",
      " [[-1.5991621 ]\n",
      " [-1.06727719]\n",
      " [-1.4272002 ]\n",
      " [-1.87689781]\n",
      " [-1.61823571]\n",
      " [-1.77155769]\n",
      " [-1.96492815]\n",
      " [-2.09745073]]\n",
      "1622 Cost:  4.80398 \n",
      "Prediction:\n",
      " [[-1.59905577]\n",
      " [-1.06717348]\n",
      " [-1.42711282]\n",
      " [-1.87682891]\n",
      " [-1.61815524]\n",
      " [-1.77147973]\n",
      " [-1.96487403]\n",
      " [-2.09739709]]\n",
      "1623 Cost:  4.80363 \n",
      "Prediction:\n",
      " [[-1.59894943]\n",
      " [-1.06706977]\n",
      " [-1.42702556]\n",
      " [-1.87676013]\n",
      " [-1.61807477]\n",
      " [-1.77140176]\n",
      " [-1.96481979]\n",
      " [-2.09734368]]\n",
      "1624 Cost:  4.80329 \n",
      "Prediction:\n",
      " [[-1.5988431 ]\n",
      " [-1.06696606]\n",
      " [-1.42693818]\n",
      " [-1.87669134]\n",
      " [-1.61799419]\n",
      " [-1.77132392]\n",
      " [-1.96476555]\n",
      " [-2.09729028]]\n",
      "1625 Cost:  4.80294 \n",
      "Prediction:\n",
      " [[-1.59873676]\n",
      " [-1.06686234]\n",
      " [-1.4268508 ]\n",
      " [-1.87662256]\n",
      " [-1.61791372]\n",
      " [-1.77124596]\n",
      " [-1.96471143]\n",
      " [-2.09723687]]\n",
      "1626 Cost:  4.80259 \n",
      "Prediction:\n",
      " [[-1.59863067]\n",
      " [-1.06675863]\n",
      " [-1.42676353]\n",
      " [-1.87655365]\n",
      " [-1.61783326]\n",
      " [-1.77116799]\n",
      " [-1.96465719]\n",
      " [-2.09718347]]\n",
      "1627 Cost:  4.80225 \n",
      "Prediction:\n",
      " [[-1.59852433]\n",
      " [-1.06665492]\n",
      " [-1.42667627]\n",
      " [-1.87648487]\n",
      " [-1.61775279]\n",
      " [-1.77109003]\n",
      " [-1.96460295]\n",
      " [-2.09712982]]\n",
      "1628 Cost:  4.8019 \n",
      "Prediction:\n",
      " [[-1.59841812]\n",
      " [-1.06655121]\n",
      " [-1.42658889]\n",
      " [-1.87641609]\n",
      " [-1.6176722 ]\n",
      " [-1.77101207]\n",
      " [-1.96454883]\n",
      " [-2.09707642]]\n",
      "1629 Cost:  4.80155 \n",
      "Prediction:\n",
      " [[-1.5983119 ]\n",
      " [-1.0664475 ]\n",
      " [-1.42650163]\n",
      " [-1.8763473 ]\n",
      " [-1.61759186]\n",
      " [-1.77093422]\n",
      " [-1.96449459]\n",
      " [-2.09702301]]\n",
      "1630 Cost:  4.80121 \n",
      "Prediction:\n",
      " [[-1.59820569]\n",
      " [-1.06634378]\n",
      " [-1.42641425]\n",
      " [-1.87627852]\n",
      " [-1.61751127]\n",
      " [-1.77085638]\n",
      " [-1.96444035]\n",
      " [-2.0969696 ]]\n",
      "1631 Cost:  4.80086 \n",
      "Prediction:\n",
      " [[-1.59809947]\n",
      " [-1.06624019]\n",
      " [-1.42632699]\n",
      " [-1.87620974]\n",
      " [-1.61743093]\n",
      " [-1.77077842]\n",
      " [-1.96438611]\n",
      " [-2.0969162 ]]\n",
      "1632 Cost:  4.80052 \n",
      "Prediction:\n",
      " [[-1.59799314]\n",
      " [-1.06613648]\n",
      " [-1.42623973]\n",
      " [-1.87614083]\n",
      " [-1.61735034]\n",
      " [-1.77070057]\n",
      " [-1.96433187]\n",
      " [-2.09686279]]\n",
      "1633 Cost:  4.80017 \n",
      "Prediction:\n",
      " [[-1.59788704]\n",
      " [-1.06603289]\n",
      " [-1.42615235]\n",
      " [-1.87607217]\n",
      " [-1.61726987]\n",
      " [-1.77062261]\n",
      " [-1.96427774]\n",
      " [-2.09680939]]\n",
      "1634 Cost:  4.79982 \n",
      "Prediction:\n",
      " [[-1.5977807 ]\n",
      " [-1.06592906]\n",
      " [-1.42606509]\n",
      " [-1.87600327]\n",
      " [-1.61718941]\n",
      " [-1.77054477]\n",
      " [-1.9642235 ]\n",
      " [-2.09675598]]\n",
      "1635 Cost:  4.79948 \n",
      "Prediction:\n",
      " [[-1.59767449]\n",
      " [-1.06582534]\n",
      " [-1.42597771]\n",
      " [-1.8759346 ]\n",
      " [-1.61710894]\n",
      " [-1.7704668 ]\n",
      " [-1.96416926]\n",
      " [-2.09670234]]\n",
      "1636 Cost:  4.79913 \n",
      "Prediction:\n",
      " [[-1.59756827]\n",
      " [-1.06572175]\n",
      " [-1.42589045]\n",
      " [-1.8758657 ]\n",
      " [-1.61702847]\n",
      " [-1.77038896]\n",
      " [-1.96411514]\n",
      " [-2.09664893]]\n",
      "1637 Cost:  4.79879 \n",
      "Prediction:\n",
      " [[-1.59746206]\n",
      " [-1.06561804]\n",
      " [-1.42580318]\n",
      " [-1.87579679]\n",
      " [-1.61694801]\n",
      " [-1.77031088]\n",
      " [-1.9640609 ]\n",
      " [-2.09659553]]\n",
      "1638 Cost:  4.79844 \n",
      "Prediction:\n",
      " [[-1.59735584]\n",
      " [-1.06551433]\n",
      " [-1.4257158 ]\n",
      " [-1.87572813]\n",
      " [-1.61686754]\n",
      " [-1.77023304]\n",
      " [-1.96400666]\n",
      " [-2.09654212]]\n",
      "1639 Cost:  4.79809 \n",
      "Prediction:\n",
      " [[-1.59724963]\n",
      " [-1.06541061]\n",
      " [-1.42562866]\n",
      " [-1.87565935]\n",
      " [-1.61678696]\n",
      " [-1.77015519]\n",
      " [-1.96395254]\n",
      " [-2.09648871]]\n",
      "1640 Cost:  4.79775 \n",
      "Prediction:\n",
      " [[-1.59714341]\n",
      " [-1.0653069 ]\n",
      " [-1.42554116]\n",
      " [-1.87559056]\n",
      " [-1.61670649]\n",
      " [-1.77007723]\n",
      " [-1.9638983 ]\n",
      " [-2.09643531]]\n",
      "1641 Cost:  4.7974 \n",
      "Prediction:\n",
      " [[-1.59703708]\n",
      " [-1.06520319]\n",
      " [-1.4254539 ]\n",
      " [-1.87552166]\n",
      " [-1.61662602]\n",
      " [-1.76999938]\n",
      " [-1.96384406]\n",
      " [-2.0963819 ]]\n",
      "1642 Cost:  4.79706 \n",
      "Prediction:\n",
      " [[-1.59693098]\n",
      " [-1.06509948]\n",
      " [-1.42536664]\n",
      " [-1.875453  ]\n",
      " [-1.61654568]\n",
      " [-1.76992154]\n",
      " [-1.96378982]\n",
      " [-2.09632826]]\n",
      "1643 Cost:  4.79671 \n",
      "Prediction:\n",
      " [[-1.59682465]\n",
      " [-1.064996  ]\n",
      " [-1.42527938]\n",
      " [-1.87538409]\n",
      " [-1.61646509]\n",
      " [-1.76984358]\n",
      " [-1.96373558]\n",
      " [-2.09627485]]\n",
      "1644 Cost:  4.79636 \n",
      "Prediction:\n",
      " [[-1.59671855]\n",
      " [-1.06489229]\n",
      " [-1.425192  ]\n",
      " [-1.87531531]\n",
      " [-1.61638463]\n",
      " [-1.76976562]\n",
      " [-1.96368146]\n",
      " [-2.09622145]]\n",
      "1645 Cost:  4.79602 \n",
      "Prediction:\n",
      " [[-1.59661222]\n",
      " [-1.06478858]\n",
      " [-1.42510474]\n",
      " [-1.87524652]\n",
      " [-1.61630416]\n",
      " [-1.76968777]\n",
      " [-1.96362722]\n",
      " [-2.09616804]]\n",
      "1646 Cost:  4.79567 \n",
      "Prediction:\n",
      " [[-1.59650612]\n",
      " [-1.06468487]\n",
      " [-1.42501736]\n",
      " [-1.87517774]\n",
      " [-1.61622369]\n",
      " [-1.76960981]\n",
      " [-1.96357298]\n",
      " [-2.09611464]]\n",
      "1647 Cost:  4.79533 \n",
      "Prediction:\n",
      " [[-1.59639978]\n",
      " [-1.06458116]\n",
      " [-1.4249301 ]\n",
      " [-1.87510896]\n",
      " [-1.61614323]\n",
      " [-1.76953197]\n",
      " [-1.96351886]\n",
      " [-2.09606123]]\n",
      "1648 Cost:  4.79498 \n",
      "Prediction:\n",
      " [[-1.59629357]\n",
      " [-1.06447744]\n",
      " [-1.42484283]\n",
      " [-1.87504005]\n",
      " [-1.61606276]\n",
      " [-1.769454  ]\n",
      " [-1.96346462]\n",
      " [-2.09600782]]\n",
      "1649 Cost:  4.79464 \n",
      "Prediction:\n",
      " [[-1.59618735]\n",
      " [-1.06437373]\n",
      " [-1.42475557]\n",
      " [-1.87497139]\n",
      " [-1.61598229]\n",
      " [-1.76937616]\n",
      " [-1.96341038]\n",
      " [-2.09595418]]\n",
      "1650 Cost:  4.79429 \n",
      "Prediction:\n",
      " [[-1.59608114]\n",
      " [-1.06427014]\n",
      " [-1.42466831]\n",
      " [-1.87490261]\n",
      " [-1.61590183]\n",
      " [-1.76929832]\n",
      " [-1.96335626]\n",
      " [-2.09590077]]\n",
      "1651 Cost:  4.79394 \n",
      "Prediction:\n",
      " [[-1.59597492]\n",
      " [-1.06416643]\n",
      " [-1.42458093]\n",
      " [-1.87483382]\n",
      " [-1.61582136]\n",
      " [-1.76922035]\n",
      " [-1.96330202]\n",
      " [-2.09584737]]\n",
      "1652 Cost:  4.7936 \n",
      "Prediction:\n",
      " [[-1.59586871]\n",
      " [-1.06406283]\n",
      " [-1.42449367]\n",
      " [-1.87476492]\n",
      " [-1.6157409 ]\n",
      " [-1.76914239]\n",
      " [-1.96324778]\n",
      " [-2.09579396]]\n",
      "1653 Cost:  4.79325 \n",
      "Prediction:\n",
      " [[-1.59576249]\n",
      " [-1.06395912]\n",
      " [-1.42440629]\n",
      " [-1.87469625]\n",
      " [-1.61566043]\n",
      " [-1.76906455]\n",
      " [-1.96319366]\n",
      " [-2.09574056]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1654 Cost:  4.79291 \n",
      "Prediction:\n",
      " [[-1.59565628]\n",
      " [-1.06385529]\n",
      " [-1.42431903]\n",
      " [-1.87462747]\n",
      " [-1.61557984]\n",
      " [-1.7689867 ]\n",
      " [-1.96313941]\n",
      " [-2.09568715]]\n",
      "1655 Cost:  4.79256 \n",
      "Prediction:\n",
      " [[-1.59555006]\n",
      " [-1.0637517 ]\n",
      " [-1.42423177]\n",
      " [-1.87455869]\n",
      " [-1.6154995 ]\n",
      " [-1.76890874]\n",
      " [-1.96308517]\n",
      " [-2.09563375]]\n",
      "1656 Cost:  4.79221 \n",
      "Prediction:\n",
      " [[-1.59544384]\n",
      " [-1.06364799]\n",
      " [-1.42414451]\n",
      " [-1.87448978]\n",
      " [-1.61541891]\n",
      " [-1.76883078]\n",
      " [-1.96303105]\n",
      " [-2.0955801 ]]\n",
      "1657 Cost:  4.79187 \n",
      "Prediction:\n",
      " [[-1.59533763]\n",
      " [-1.06354439]\n",
      " [-1.42405725]\n",
      " [-1.874421  ]\n",
      " [-1.61533856]\n",
      " [-1.76875293]\n",
      " [-1.96297669]\n",
      " [-2.0955267 ]]\n",
      "1658 Cost:  4.79152 \n",
      "Prediction:\n",
      " [[-1.59523153]\n",
      " [-1.06344056]\n",
      " [-1.42396998]\n",
      " [-1.87435222]\n",
      " [-1.61525798]\n",
      " [-1.76867509]\n",
      " [-1.96292257]\n",
      " [-2.09547329]]\n",
      "1659 Cost:  4.79118 \n",
      "Prediction:\n",
      " [[-1.5951252 ]\n",
      " [-1.06333709]\n",
      " [-1.42388248]\n",
      " [-1.87428343]\n",
      " [-1.61517763]\n",
      " [-1.76859713]\n",
      " [-1.96286833]\n",
      " [-2.09541988]]\n",
      "1660 Cost:  4.79083 \n",
      "Prediction:\n",
      " [[-1.5950191 ]\n",
      " [-1.06323338]\n",
      " [-1.42379534]\n",
      " [-1.87421465]\n",
      " [-1.61509717]\n",
      " [-1.76851928]\n",
      " [-1.96281409]\n",
      " [-2.09536648]]\n",
      "1661 Cost:  4.79049 \n",
      "Prediction:\n",
      " [[-1.59491277]\n",
      " [-1.06312966]\n",
      " [-1.42370796]\n",
      " [-1.87414587]\n",
      " [-1.6150167 ]\n",
      " [-1.76844132]\n",
      " [-1.96275997]\n",
      " [-2.09531307]]\n",
      "1662 Cost:  4.79014 \n",
      "Prediction:\n",
      " [[-1.59480667]\n",
      " [-1.06302595]\n",
      " [-1.4236207 ]\n",
      " [-1.87407708]\n",
      " [-1.61493611]\n",
      " [-1.76836348]\n",
      " [-1.96270573]\n",
      " [-2.09525967]]\n",
      "1663 Cost:  4.7898 \n",
      "Prediction:\n",
      " [[-1.59470034]\n",
      " [-1.06292224]\n",
      " [-1.42353344]\n",
      " [-1.8740083 ]\n",
      " [-1.61485577]\n",
      " [-1.76828551]\n",
      " [-1.96265149]\n",
      " [-2.09520626]]\n",
      "1664 Cost:  4.78945 \n",
      "Prediction:\n",
      " [[-1.59459424]\n",
      " [-1.06281865]\n",
      " [-1.42344618]\n",
      " [-1.87393951]\n",
      " [-1.61477518]\n",
      " [-1.76820755]\n",
      " [-1.96259737]\n",
      " [-2.09515262]]\n",
      "1665 Cost:  4.7891 \n",
      "Prediction:\n",
      " [[-1.59448802]\n",
      " [-1.06271493]\n",
      " [-1.42335892]\n",
      " [-1.87387061]\n",
      " [-1.61469483]\n",
      " [-1.76812971]\n",
      " [-1.96254313]\n",
      " [-2.09509921]]\n",
      "1666 Cost:  4.78876 \n",
      "Prediction:\n",
      " [[-1.59438181]\n",
      " [-1.06261134]\n",
      " [-1.42327154]\n",
      " [-1.87380195]\n",
      " [-1.61461425]\n",
      " [-1.76805186]\n",
      " [-1.96248889]\n",
      " [-2.0950458 ]]\n",
      "1667 Cost:  4.78841 \n",
      "Prediction:\n",
      " [[-1.59427559]\n",
      " [-1.06250763]\n",
      " [-1.42318428]\n",
      " [-1.87373316]\n",
      " [-1.6145339 ]\n",
      " [-1.7679739 ]\n",
      " [-1.96243477]\n",
      " [-2.0949924 ]]\n",
      "1668 Cost:  4.78807 \n",
      "Prediction:\n",
      " [[-1.59416938]\n",
      " [-1.06240392]\n",
      " [-1.4230969 ]\n",
      " [-1.87366438]\n",
      " [-1.61445332]\n",
      " [-1.76789594]\n",
      " [-1.96238053]\n",
      " [-2.09493899]]\n",
      "1669 Cost:  4.78772 \n",
      "Prediction:\n",
      " [[-1.59406328]\n",
      " [-1.06230032]\n",
      " [-1.42300963]\n",
      " [-1.87359548]\n",
      " [-1.61437297]\n",
      " [-1.76781821]\n",
      " [-1.96232629]\n",
      " [-2.09488535]]\n",
      "1670 Cost:  4.78738 \n",
      "Prediction:\n",
      " [[-1.59395695]\n",
      " [-1.06219649]\n",
      " [-1.42292237]\n",
      " [-1.87352669]\n",
      " [-1.6142925 ]\n",
      " [-1.76774025]\n",
      " [-1.96227217]\n",
      " [-2.09483194]]\n",
      "1671 Cost:  4.78703 \n",
      "Prediction:\n",
      " [[-1.59385085]\n",
      " [-1.06209302]\n",
      " [-1.42283511]\n",
      " [-1.87345791]\n",
      " [-1.61421192]\n",
      " [-1.76766229]\n",
      " [-1.96221793]\n",
      " [-2.09477854]]\n",
      "1672 Cost:  4.78669 \n",
      "Prediction:\n",
      " [[-1.59374452]\n",
      " [-1.06198931]\n",
      " [-1.42274785]\n",
      " [-1.87338924]\n",
      " [-1.61413157]\n",
      " [-1.76758444]\n",
      " [-1.96216369]\n",
      " [-2.09472513]]\n",
      "1673 Cost:  4.78634 \n",
      "Prediction:\n",
      " [[-1.59363842]\n",
      " [-1.0618856 ]\n",
      " [-1.42266047]\n",
      " [-1.87332034]\n",
      " [-1.6140511 ]\n",
      " [-1.7675066 ]\n",
      " [-1.96210945]\n",
      " [-2.09467173]]\n",
      "1674 Cost:  4.78599 \n",
      "Prediction:\n",
      " [[-1.5935322 ]\n",
      " [-1.06178188]\n",
      " [-1.42257321]\n",
      " [-1.87325156]\n",
      " [-1.61397052]\n",
      " [-1.76742864]\n",
      " [-1.96205533]\n",
      " [-2.09461832]]\n",
      "1675 Cost:  4.78565 \n",
      "Prediction:\n",
      " [[-1.59342599]\n",
      " [-1.06167817]\n",
      " [-1.42248595]\n",
      " [-1.87318277]\n",
      " [-1.61389017]\n",
      " [-1.76735067]\n",
      " [-1.96200109]\n",
      " [-2.09456491]]\n",
      "1676 Cost:  4.7853 \n",
      "Prediction:\n",
      " [[-1.59331989]\n",
      " [-1.0615747 ]\n",
      " [-1.42239869]\n",
      " [-1.87311411]\n",
      " [-1.6138097 ]\n",
      " [-1.76727295]\n",
      " [-1.96194685]\n",
      " [-2.09451151]]\n",
      "1677 Cost:  4.78496 \n",
      "Prediction:\n",
      " [[-1.59321356]\n",
      " [-1.06147099]\n",
      " [-1.42231143]\n",
      " [-1.87304521]\n",
      " [-1.61372924]\n",
      " [-1.76719499]\n",
      " [-1.9618926 ]\n",
      " [-2.0944581 ]]\n",
      "1678 Cost:  4.78461 \n",
      "Prediction:\n",
      " [[-1.59310746]\n",
      " [-1.06136727]\n",
      " [-1.42222404]\n",
      " [-1.87297642]\n",
      " [-1.61364877]\n",
      " [-1.76711702]\n",
      " [-1.96183848]\n",
      " [-2.09440446]]\n",
      "1679 Cost:  4.78427 \n",
      "Prediction:\n",
      " [[-1.59300125]\n",
      " [-1.06126356]\n",
      " [-1.42213678]\n",
      " [-1.87290776]\n",
      " [-1.61356831]\n",
      " [-1.7670393 ]\n",
      " [-1.96178436]\n",
      " [-2.09435105]]\n",
      "1680 Cost:  4.78392 \n",
      "Prediction:\n",
      " [[-1.59289503]\n",
      " [-1.06115985]\n",
      " [-1.42204952]\n",
      " [-1.87283897]\n",
      " [-1.61348784]\n",
      " [-1.76696134]\n",
      " [-1.96173   ]\n",
      " [-2.09429765]]\n",
      "1681 Cost:  4.78358 \n",
      "Prediction:\n",
      " [[-1.59278882]\n",
      " [-1.06105626]\n",
      " [-1.42196226]\n",
      " [-1.87277007]\n",
      " [-1.61340737]\n",
      " [-1.76688337]\n",
      " [-1.96167588]\n",
      " [-2.09424424]]\n",
      "1682 Cost:  4.78323 \n",
      "Prediction:\n",
      " [[-1.5926826 ]\n",
      " [-1.06095254]\n",
      " [-1.421875  ]\n",
      " [-1.87270141]\n",
      " [-1.61332691]\n",
      " [-1.76680565]\n",
      " [-1.96162164]\n",
      " [-2.09419084]]\n",
      "1683 Cost:  4.78289 \n",
      "Prediction:\n",
      " [[-1.5925765 ]\n",
      " [-1.06084895]\n",
      " [-1.42178774]\n",
      " [-1.8726325 ]\n",
      " [-1.61324644]\n",
      " [-1.76672769]\n",
      " [-1.9615674 ]\n",
      " [-2.09413743]]\n",
      "1684 Cost:  4.78254 \n",
      "Prediction:\n",
      " [[-1.59247029]\n",
      " [-1.06074524]\n",
      " [-1.42170036]\n",
      " [-1.87256384]\n",
      " [-1.61316597]\n",
      " [-1.76664972]\n",
      " [-1.96151328]\n",
      " [-2.09408379]]\n",
      "1685 Cost:  4.7822 \n",
      "Prediction:\n",
      " [[-1.59236419]\n",
      " [-1.06064165]\n",
      " [-1.42161322]\n",
      " [-1.87249506]\n",
      " [-1.61308563]\n",
      " [-1.766572  ]\n",
      " [-1.96145916]\n",
      " [-2.09403038]]\n",
      "1686 Cost:  4.78185 \n",
      "Prediction:\n",
      " [[-1.59225821]\n",
      " [-1.06053805]\n",
      " [-1.42152596]\n",
      " [-1.87242627]\n",
      " [-1.61300516]\n",
      " [-1.76649404]\n",
      " [-1.96140492]\n",
      " [-2.09397697]]\n",
      "1687 Cost:  4.78151 \n",
      "Prediction:\n",
      " [[-1.59215212]\n",
      " [-1.06043458]\n",
      " [-1.42143869]\n",
      " [-1.87235761]\n",
      " [-1.61292481]\n",
      " [-1.76641631]\n",
      " [-1.96135068]\n",
      " [-2.09392357]]\n",
      "1688 Cost:  4.78116 \n",
      "Prediction:\n",
      " [[-1.59204602]\n",
      " [-1.06033099]\n",
      " [-1.42135155]\n",
      " [-1.87228882]\n",
      " [-1.61284447]\n",
      " [-1.76633835]\n",
      " [-1.96129656]\n",
      " [-2.09387016]]\n",
      "1689 Cost:  4.78082 \n",
      "Prediction:\n",
      " [[-1.59193993]\n",
      " [-1.06022739]\n",
      " [-1.42126441]\n",
      " [-1.87222004]\n",
      " [-1.612764  ]\n",
      " [-1.7662605 ]\n",
      " [-1.96124244]\n",
      " [-2.09381676]]\n",
      "1690 Cost:  4.78047 \n",
      "Prediction:\n",
      " [[-1.59183383]\n",
      " [-1.06012392]\n",
      " [-1.42117715]\n",
      " [-1.87215137]\n",
      " [-1.61268365]\n",
      " [-1.76618266]\n",
      " [-1.9611882 ]\n",
      " [-2.09376335]]\n",
      "1691 Cost:  4.78013 \n",
      "Prediction:\n",
      " [[-1.59172773]\n",
      " [-1.06002021]\n",
      " [-1.42109001]\n",
      " [-1.87208271]\n",
      " [-1.61260331]\n",
      " [-1.76610494]\n",
      " [-1.96113408]\n",
      " [-2.09370995]]\n",
      "1692 Cost:  4.77978 \n",
      "Prediction:\n",
      " [[-1.59162176]\n",
      " [-1.05991662]\n",
      " [-1.42100275]\n",
      " [-1.87201393]\n",
      " [-1.61252284]\n",
      " [-1.76602709]\n",
      " [-1.96107984]\n",
      " [-2.0936563 ]]\n",
      "1693 Cost:  4.77944 \n",
      "Prediction:\n",
      " [[-1.59151566]\n",
      " [-1.05981302]\n",
      " [-1.42091548]\n",
      " [-1.87194514]\n",
      " [-1.61244249]\n",
      " [-1.76594937]\n",
      " [-1.96102571]\n",
      " [-2.0936029 ]]\n",
      "1694 Cost:  4.77909 \n",
      "Prediction:\n",
      " [[-1.59140968]\n",
      " [-1.05970955]\n",
      " [-1.42082834]\n",
      " [-1.87187648]\n",
      " [-1.61236215]\n",
      " [-1.76587152]\n",
      " [-1.96097147]\n",
      " [-2.09354949]]\n",
      "1695 Cost:  4.77875 \n",
      "Prediction:\n",
      " [[-1.59130359]\n",
      " [-1.05960608]\n",
      " [-1.42074108]\n",
      " [-1.87180781]\n",
      " [-1.6122818 ]\n",
      " [-1.76579356]\n",
      " [-1.96091735]\n",
      " [-2.09349608]]\n",
      "1696 Cost:  4.7784 \n",
      "Prediction:\n",
      " [[-1.59119749]\n",
      " [-1.05950236]\n",
      " [-1.42065394]\n",
      " [-1.87173903]\n",
      " [-1.61220145]\n",
      " [-1.76571584]\n",
      " [-1.96086311]\n",
      " [-2.09344268]]\n",
      "1697 Cost:  4.77806 \n",
      "Prediction:\n",
      " [[-1.59109139]\n",
      " [-1.05939889]\n",
      " [-1.42056668]\n",
      " [-1.87167025]\n",
      " [-1.61212111]\n",
      " [-1.76563799]\n",
      " [-1.96080899]\n",
      " [-2.09338927]]\n",
      "1698 Cost:  4.77771 \n",
      "Prediction:\n",
      " [[-1.59098542]\n",
      " [-1.0592953 ]\n",
      " [-1.42047954]\n",
      " [-1.87160158]\n",
      " [-1.61204052]\n",
      " [-1.76556015]\n",
      " [-1.96075487]\n",
      " [-2.09333563]]\n",
      "1699 Cost:  4.77737 \n",
      "Prediction:\n",
      " [[-1.59087932]\n",
      " [-1.0591917 ]\n",
      " [-1.42039227]\n",
      " [-1.8715328 ]\n",
      " [-1.61196017]\n",
      " [-1.76548231]\n",
      " [-1.96070063]\n",
      " [-2.09328222]]\n",
      "1700 Cost:  4.77702 \n",
      "Prediction:\n",
      " [[-1.59077334]\n",
      " [-1.05908799]\n",
      " [-1.42030513]\n",
      " [-1.87146413]\n",
      " [-1.61187983]\n",
      " [-1.76540446]\n",
      " [-1.96064639]\n",
      " [-2.09322882]]\n",
      "1701 Cost:  4.77668 \n",
      "Prediction:\n",
      " [[-1.59066725]\n",
      " [-1.05898464]\n",
      " [-1.42021799]\n",
      " [-1.87139547]\n",
      " [-1.61179948]\n",
      " [-1.76532662]\n",
      " [-1.96059227]\n",
      " [-2.09317541]]\n",
      "1702 Cost:  4.77633 \n",
      "Prediction:\n",
      " [[-1.59056115]\n",
      " [-1.05888104]\n",
      " [-1.42013073]\n",
      " [-1.87132668]\n",
      " [-1.61171913]\n",
      " [-1.76524889]\n",
      " [-1.96053815]\n",
      " [-2.09312201]]\n",
      "1703 Cost:  4.77599 \n",
      "Prediction:\n",
      " [[-1.59045529]\n",
      " [-1.05877757]\n",
      " [-1.42004359]\n",
      " [-1.87125802]\n",
      " [-1.61163878]\n",
      " [-1.76517105]\n",
      " [-1.96048391]\n",
      " [-2.0930686 ]]\n",
      "1704 Cost:  4.77564 \n",
      "Prediction:\n",
      " [[-1.5903492 ]\n",
      " [-1.05867398]\n",
      " [-1.41995645]\n",
      " [-1.87118936]\n",
      " [-1.61155844]\n",
      " [-1.76509333]\n",
      " [-1.96042979]\n",
      " [-2.09301519]]\n",
      "1705 Cost:  4.7753 \n",
      "Prediction:\n",
      " [[-1.59024334]\n",
      " [-1.0585705 ]\n",
      " [-1.41986918]\n",
      " [-1.87112057]\n",
      " [-1.61147809]\n",
      " [-1.76501536]\n",
      " [-1.96037555]\n",
      " [-2.09296179]]\n",
      "1706 Cost:  4.77495 \n",
      "Prediction:\n",
      " [[-1.59013724]\n",
      " [-1.05846691]\n",
      " [-1.41978216]\n",
      " [-1.87105191]\n",
      " [-1.61139774]\n",
      " [-1.76493764]\n",
      " [-1.96032143]\n",
      " [-2.09290814]]\n",
      "1707 Cost:  4.77461 \n",
      "Prediction:\n",
      " [[-1.59003127]\n",
      " [-1.05836344]\n",
      " [-1.4196949 ]\n",
      " [-1.87098324]\n",
      " [-1.6113174 ]\n",
      " [-1.76485991]\n",
      " [-1.96026731]\n",
      " [-2.09285474]]\n",
      "1708 Cost:  4.77427 \n",
      "Prediction:\n",
      " [[-1.58992529]\n",
      " [-1.05825996]\n",
      " [-1.41960776]\n",
      " [-1.87091446]\n",
      " [-1.61123705]\n",
      " [-1.76478207]\n",
      " [-1.96021307]\n",
      " [-2.09280133]]\n",
      "1709 Cost:  4.77392 \n",
      "Prediction:\n",
      " [[-1.58981931]\n",
      " [-1.05815649]\n",
      " [-1.4195205 ]\n",
      " [-1.87084579]\n",
      " [-1.6111567 ]\n",
      " [-1.76470423]\n",
      " [-1.96015882]\n",
      " [-2.09274793]]\n",
      "1710 Cost:  4.77358 \n",
      "Prediction:\n",
      " [[-1.58971334]\n",
      " [-1.05805302]\n",
      " [-1.41943347]\n",
      " [-1.87077713]\n",
      " [-1.61107635]\n",
      " [-1.7646265 ]\n",
      " [-1.9601047 ]\n",
      " [-2.09269452]]\n",
      "1711 Cost:  4.77323 \n",
      "Prediction:\n",
      " [[-1.58960724]\n",
      " [-1.05794942]\n",
      " [-1.41934633]\n",
      " [-1.87070847]\n",
      " [-1.61099601]\n",
      " [-1.76454878]\n",
      " [-1.96005058]\n",
      " [-2.09264112]]\n",
      "1712 Cost:  4.77289 \n",
      "Prediction:\n",
      " [[-1.58950138]\n",
      " [-1.05784607]\n",
      " [-1.41925919]\n",
      " [-1.87063968]\n",
      " [-1.61091566]\n",
      " [-1.76447105]\n",
      " [-1.95999646]\n",
      " [-2.09258771]]\n",
      "1713 Cost:  4.77254 \n",
      "Prediction:\n",
      " [[-1.58939528]\n",
      " [-1.0577426 ]\n",
      " [-1.41917205]\n",
      " [-1.87057114]\n",
      " [-1.61083531]\n",
      " [-1.76439309]\n",
      " [-1.95994222]\n",
      " [-2.0925343 ]]\n",
      "1714 Cost:  4.7722 \n",
      "Prediction:\n",
      " [[-1.58928943]\n",
      " [-1.05763912]\n",
      " [-1.41908491]\n",
      " [-1.87050235]\n",
      " [-1.61075497]\n",
      " [-1.76431537]\n",
      " [-1.9598881 ]\n",
      " [-2.0924809 ]]\n",
      "1715 Cost:  4.77186 \n",
      "Prediction:\n",
      " [[-1.58918333]\n",
      " [-1.05753577]\n",
      " [-1.41899776]\n",
      " [-1.87043357]\n",
      " [-1.61067474]\n",
      " [-1.76423764]\n",
      " [-1.95983386]\n",
      " [-2.09242749]]\n",
      "1716 Cost:  4.77151 \n",
      "Prediction:\n",
      " [[-1.58907771]\n",
      " [-1.05743241]\n",
      " [-1.41891086]\n",
      " [-1.87036514]\n",
      " [-1.61059451]\n",
      " [-1.76416016]\n",
      " [-1.95977998]\n",
      " [-2.09237432]]\n",
      "1717 Cost:  4.77117 \n",
      "Prediction:\n",
      " [[-1.58897185]\n",
      " [-1.05732918]\n",
      " [-1.41882396]\n",
      " [-1.87029672]\n",
      " [-1.6105144 ]\n",
      " [-1.76408255]\n",
      " [-1.9597261 ]\n",
      " [-2.09232116]]\n",
      "1718 Cost:  4.77082 \n",
      "Prediction:\n",
      " [[-1.58886611]\n",
      " [-1.05722594]\n",
      " [-1.41873705]\n",
      " [-1.87022829]\n",
      " [-1.61043441]\n",
      " [-1.76400495]\n",
      " [-1.95967209]\n",
      " [-2.09226799]]\n",
      "1719 Cost:  4.77048 \n",
      "Prediction:\n",
      " [[-1.58876038]\n",
      " [-1.05712271]\n",
      " [-1.41865015]\n",
      " [-1.87015975]\n",
      " [-1.6103543 ]\n",
      " [-1.76392746]\n",
      " [-1.95961821]\n",
      " [-2.09221482]]\n",
      "1720 Cost:  4.77014 \n",
      "Prediction:\n",
      " [[-1.58865464]\n",
      " [-1.05701959]\n",
      " [-1.41856337]\n",
      " [-1.87009132]\n",
      " [-1.61027431]\n",
      " [-1.76384997]\n",
      " [-1.95956433]\n",
      " [-2.09216166]]\n",
      "1721 Cost:  4.7698 \n",
      "Prediction:\n",
      " [[-1.5885489 ]\n",
      " [-1.05691624]\n",
      " [-1.41847634]\n",
      " [-1.87002289]\n",
      " [-1.61019421]\n",
      " [-1.76377249]\n",
      " [-1.95951033]\n",
      " [-2.09210849]]\n",
      "1722 Cost:  4.76945 \n",
      "Prediction:\n",
      " [[-1.58844316]\n",
      " [-1.05681324]\n",
      " [-1.41838956]\n",
      " [-1.86995435]\n",
      " [-1.6101141 ]\n",
      " [-1.763695  ]\n",
      " [-1.95945644]\n",
      " [-2.09205532]]\n",
      "1723 Cost:  4.76911 \n",
      "Prediction:\n",
      " [[-1.58833742]\n",
      " [-1.05671   ]\n",
      " [-1.41830254]\n",
      " [-1.86988592]\n",
      " [-1.61003387]\n",
      " [-1.76361728]\n",
      " [-1.95940256]\n",
      " [-2.09200215]]\n",
      "1724 Cost:  4.76877 \n",
      "Prediction:\n",
      " [[-1.58823168]\n",
      " [-1.05660677]\n",
      " [-1.41821575]\n",
      " [-1.8698175 ]\n",
      " [-1.60995388]\n",
      " [-1.76353991]\n",
      " [-1.95934868]\n",
      " [-2.09194899]]\n",
      "1725 Cost:  4.76842 \n",
      "Prediction:\n",
      " [[-1.58812594]\n",
      " [-1.05650353]\n",
      " [-1.41812885]\n",
      " [-1.86974907]\n",
      " [-1.60987377]\n",
      " [-1.76346231]\n",
      " [-1.95929468]\n",
      " [-2.09189582]]\n",
      "1726 Cost:  4.76808 \n",
      "Prediction:\n",
      " [[-1.58802021]\n",
      " [-1.0564003 ]\n",
      " [-1.41804206]\n",
      " [-1.86968064]\n",
      " [-1.60979366]\n",
      " [-1.76338482]\n",
      " [-1.95924067]\n",
      " [-2.09184265]]\n",
      "1727 Cost:  4.76774 \n",
      "Prediction:\n",
      " [[-1.58791447]\n",
      " [-1.05629706]\n",
      " [-1.41795504]\n",
      " [-1.86961222]\n",
      " [-1.60971355]\n",
      " [-1.76330721]\n",
      " [-1.95918679]\n",
      " [-2.09178948]]\n",
      "1728 Cost:  4.76739 \n",
      "Prediction:\n",
      " [[-1.58780885]\n",
      " [-1.05619383]\n",
      " [-1.41786814]\n",
      " [-1.86954379]\n",
      " [-1.60963356]\n",
      " [-1.76322973]\n",
      " [-1.95913291]\n",
      " [-2.09173632]]\n",
      "1729 Cost:  4.76705 \n",
      "Prediction:\n",
      " [[-1.58770299]\n",
      " [-1.05609071]\n",
      " [-1.41778135]\n",
      " [-1.86947513]\n",
      " [-1.60955346]\n",
      " [-1.76315212]\n",
      " [-1.95907903]\n",
      " [-2.09168315]]\n",
      "1730 Cost:  4.76671 \n",
      "Prediction:\n",
      " [[-1.58759737]\n",
      " [-1.05598748]\n",
      " [-1.41769445]\n",
      " [-1.86940682]\n",
      " [-1.60947335]\n",
      " [-1.76307464]\n",
      " [-1.95902514]\n",
      " [-2.09162998]]\n",
      "1731 Cost:  4.76636 \n",
      "Prediction:\n",
      " [[-1.58749151]\n",
      " [-1.05588424]\n",
      " [-1.41760755]\n",
      " [-1.86933827]\n",
      " [-1.60939324]\n",
      " [-1.76299715]\n",
      " [-1.95897114]\n",
      " [-2.09157681]]\n",
      "1732 Cost:  4.76602 \n",
      "Prediction:\n",
      " [[-1.58738589]\n",
      " [-1.05578113]\n",
      " [-1.41752064]\n",
      " [-1.86926985]\n",
      " [-1.60931313]\n",
      " [-1.76291955]\n",
      " [-1.95891726]\n",
      " [-2.09152365]]\n",
      "1733 Cost:  4.76568 \n",
      "Prediction:\n",
      " [[-1.58728004]\n",
      " [-1.05567789]\n",
      " [-1.41743386]\n",
      " [-1.86920142]\n",
      " [-1.60923314]\n",
      " [-1.76284206]\n",
      " [-1.95886326]\n",
      " [-2.09147048]]\n",
      "1734 Cost:  4.76534 \n",
      "Prediction:\n",
      " [[-1.58717442]\n",
      " [-1.05557466]\n",
      " [-1.41734684]\n",
      " [-1.869133  ]\n",
      " [-1.60915303]\n",
      " [-1.76276445]\n",
      " [-1.95880938]\n",
      " [-2.09141731]]\n",
      "1735 Cost:  4.76499 \n",
      "Prediction:\n",
      " [[-1.58706868]\n",
      " [-1.05547142]\n",
      " [-1.41726005]\n",
      " [-1.86906457]\n",
      " [-1.60907292]\n",
      " [-1.76268697]\n",
      " [-1.95875549]\n",
      " [-2.09136415]]\n",
      "1736 Cost:  4.76465 \n",
      "Prediction:\n",
      " [[-1.58696294]\n",
      " [-1.05536819]\n",
      " [-1.41717315]\n",
      " [-1.86899602]\n",
      " [-1.60899282]\n",
      " [-1.76260948]\n",
      " [-1.95870161]\n",
      " [-2.09131098]]\n",
      "1737 Cost:  4.76431 \n",
      "Prediction:\n",
      " [[-1.5868572 ]\n",
      " [-1.05526507]\n",
      " [-1.41708624]\n",
      " [-1.86892772]\n",
      " [-1.60891271]\n",
      " [-1.762532  ]\n",
      " [-1.95864761]\n",
      " [-2.09125781]]\n",
      "1738 Cost:  4.76396 \n",
      "Prediction:\n",
      " [[-1.58675146]\n",
      " [-1.05516171]\n",
      " [-1.41699934]\n",
      " [-1.86885929]\n",
      " [-1.6088326 ]\n",
      " [-1.76245451]\n",
      " [-1.95859373]\n",
      " [-2.09120464]]\n",
      "1739 Cost:  4.76362 \n",
      "Prediction:\n",
      " [[-1.58664572]\n",
      " [-1.0550586 ]\n",
      " [-1.41691256]\n",
      " [-1.86879075]\n",
      " [-1.60875249]\n",
      " [-1.7623769 ]\n",
      " [-1.95853972]\n",
      " [-2.09115148]]\n",
      "1740 Cost:  4.76328 \n",
      "Prediction:\n",
      " [[-1.58653998]\n",
      " [-1.05495536]\n",
      " [-1.41682553]\n",
      " [-1.86872232]\n",
      " [-1.6086725 ]\n",
      " [-1.7622993 ]\n",
      " [-1.95848584]\n",
      " [-2.09109831]]\n",
      "1741 Cost:  4.76293 \n",
      "Prediction:\n",
      " [[-1.58643436]\n",
      " [-1.05485213]\n",
      " [-1.41673875]\n",
      " [-1.86865377]\n",
      " [-1.60859239]\n",
      " [-1.76222193]\n",
      " [-1.95843196]\n",
      " [-2.09104514]]\n",
      "1742 Cost:  4.76259 \n",
      "Prediction:\n",
      " [[-1.58632851]\n",
      " [-1.05474901]\n",
      " [-1.41665184]\n",
      " [-1.86858535]\n",
      " [-1.6085124 ]\n",
      " [-1.76214433]\n",
      " [-1.95837808]\n",
      " [-2.09099197]]\n",
      "1743 Cost:  4.76225 \n",
      "Prediction:\n",
      " [[-1.58622289]\n",
      " [-1.05464578]\n",
      " [-1.41656494]\n",
      " [-1.86851692]\n",
      " [-1.60843229]\n",
      " [-1.76206684]\n",
      " [-1.95832419]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [-2.09093881]]\n",
      "1744 Cost:  4.76191 \n",
      "Prediction:\n",
      " [[-1.58611715]\n",
      " [-1.05454266]\n",
      " [-1.41647804]\n",
      " [-1.8684485 ]\n",
      " [-1.60835218]\n",
      " [-1.76198924]\n",
      " [-1.95827019]\n",
      " [-2.09088564]]\n",
      "1745 Cost:  4.76156 \n",
      "Prediction:\n",
      " [[-1.58601141]\n",
      " [-1.05443943]\n",
      " [-1.41639113]\n",
      " [-1.86838007]\n",
      " [-1.60827208]\n",
      " [-1.76191175]\n",
      " [-1.95821619]\n",
      " [-2.09083271]]\n",
      "1746 Cost:  4.76122 \n",
      "Prediction:\n",
      " [[-1.58590567]\n",
      " [-1.05433619]\n",
      " [-1.41630435]\n",
      " [-1.86831164]\n",
      " [-1.60819197]\n",
      " [-1.76183414]\n",
      " [-1.95816231]\n",
      " [-2.0907793 ]]\n",
      "1747 Cost:  4.76088 \n",
      "Prediction:\n",
      " [[-1.58579993]\n",
      " [-1.05423307]\n",
      " [-1.41621745]\n",
      " [-1.86824322]\n",
      " [-1.60811198]\n",
      " [-1.76175666]\n",
      " [-1.95810843]\n",
      " [-2.09072638]]\n",
      "1748 Cost:  4.76053 \n",
      "Prediction:\n",
      " [[-1.58569431]\n",
      " [-1.05412972]\n",
      " [-1.41613054]\n",
      " [-1.86817467]\n",
      " [-1.60803187]\n",
      " [-1.76167917]\n",
      " [-1.95805454]\n",
      " [-2.09067297]]\n",
      "1749 Cost:  4.76019 \n",
      "Prediction:\n",
      " [[-1.58558846]\n",
      " [-1.0540266 ]\n",
      " [-1.41604364]\n",
      " [-1.86810625]\n",
      " [-1.60795176]\n",
      " [-1.76160157]\n",
      " [-1.95800066]\n",
      " [-2.09062004]]\n",
      "1750 Cost:  4.75985 \n",
      "Prediction:\n",
      " [[-1.58548284]\n",
      " [-1.05392337]\n",
      " [-1.41595685]\n",
      " [-1.8680377 ]\n",
      " [-1.60787177]\n",
      " [-1.7615242 ]\n",
      " [-1.95794666]\n",
      " [-2.09056664]]\n",
      "1751 Cost:  4.75951 \n",
      "Prediction:\n",
      " [[-1.5853771 ]\n",
      " [-1.05382025]\n",
      " [-1.41586995]\n",
      " [-1.86796927]\n",
      " [-1.60779166]\n",
      " [-1.7614466 ]\n",
      " [-1.95789278]\n",
      " [-2.09051371]]\n",
      "1752 Cost:  4.75916 \n",
      "Prediction:\n",
      " [[-1.58527136]\n",
      " [-1.05371714]\n",
      " [-1.41578305]\n",
      " [-1.86790097]\n",
      " [-1.60771155]\n",
      " [-1.76136899]\n",
      " [-1.95783889]\n",
      " [-2.0904603 ]]\n",
      "1753 Cost:  4.75882 \n",
      "Prediction:\n",
      " [[-1.58516574]\n",
      " [-1.05361378]\n",
      " [-1.41569614]\n",
      " [-1.86783242]\n",
      " [-1.60763144]\n",
      " [-1.76129162]\n",
      " [-1.95778489]\n",
      " [-2.09040737]]\n",
      "1754 Cost:  4.75848 \n",
      "Prediction:\n",
      " [[-1.58505988]\n",
      " [-1.05351067]\n",
      " [-1.41560936]\n",
      " [-1.867764  ]\n",
      " [-1.60755146]\n",
      " [-1.76121402]\n",
      " [-1.95773101]\n",
      " [-2.09035397]]\n",
      "1755 Cost:  4.75813 \n",
      "Prediction:\n",
      " [[-1.58495426]\n",
      " [-1.05340743]\n",
      " [-1.41552246]\n",
      " [-1.86769557]\n",
      " [-1.60747135]\n",
      " [-1.76113653]\n",
      " [-1.95767713]\n",
      " [-2.09030104]]\n",
      "1756 Cost:  4.75779 \n",
      "Prediction:\n",
      " [[-1.58484852]\n",
      " [-1.05330431]\n",
      " [-1.41543555]\n",
      " [-1.86762714]\n",
      " [-1.60739136]\n",
      " [-1.76105905]\n",
      " [-1.95762312]\n",
      " [-2.09024787]]\n",
      "1757 Cost:  4.75745 \n",
      "Prediction:\n",
      " [[-1.58474278]\n",
      " [-1.05320108]\n",
      " [-1.41534865]\n",
      " [-1.86755872]\n",
      " [-1.60731125]\n",
      " [-1.76098144]\n",
      " [-1.95756924]\n",
      " [-2.0901947 ]]\n",
      "1758 Cost:  4.75711 \n",
      "Prediction:\n",
      " [[-1.58463717]\n",
      " [-1.05309784]\n",
      " [-1.41526175]\n",
      " [-1.86749029]\n",
      " [-1.60723114]\n",
      " [-1.76090407]\n",
      " [-1.95751524]\n",
      " [-2.09014153]]\n",
      "1759 Cost:  4.75676 \n",
      "Prediction:\n",
      " [[-1.58453143]\n",
      " [-1.05299473]\n",
      " [-1.41517496]\n",
      " [-1.86742187]\n",
      " [-1.60715103]\n",
      " [-1.76082647]\n",
      " [-1.95746136]\n",
      " [-2.09008837]]\n",
      "1760 Cost:  4.75642 \n",
      "Prediction:\n",
      " [[-1.58442569]\n",
      " [-1.05289149]\n",
      " [-1.41508794]\n",
      " [-1.86735332]\n",
      " [-1.60707104]\n",
      " [-1.76074898]\n",
      " [-1.95740747]\n",
      " [-2.0900352 ]]\n",
      "1761 Cost:  4.75608 \n",
      "Prediction:\n",
      " [[-1.58432007]\n",
      " [-1.05278826]\n",
      " [-1.41500115]\n",
      " [-1.86728501]\n",
      " [-1.60699093]\n",
      " [-1.76067138]\n",
      " [-1.95735359]\n",
      " [-2.08998203]]\n",
      "1762 Cost:  4.75574 \n",
      "Prediction:\n",
      " [[-1.58421421]\n",
      " [-1.05268502]\n",
      " [-1.41491425]\n",
      " [-1.86721635]\n",
      " [-1.60691082]\n",
      " [-1.76059389]\n",
      " [-1.95729971]\n",
      " [-2.08992887]]\n",
      "1763 Cost:  4.75539 \n",
      "Prediction:\n",
      " [[-1.58410859]\n",
      " [-1.05258191]\n",
      " [-1.41482747]\n",
      " [-1.86714804]\n",
      " [-1.60683084]\n",
      " [-1.76051641]\n",
      " [-1.95724571]\n",
      " [-2.0898757 ]]\n",
      "1764 Cost:  4.75505 \n",
      "Prediction:\n",
      " [[-1.58400285]\n",
      " [-1.05247879]\n",
      " [-1.41474056]\n",
      " [-1.86707962]\n",
      " [-1.60675073]\n",
      " [-1.76043892]\n",
      " [-1.95719182]\n",
      " [-2.08982253]]\n",
      "1765 Cost:  4.75471 \n",
      "Prediction:\n",
      " [[-1.58389711]\n",
      " [-1.05237556]\n",
      " [-1.41465378]\n",
      " [-1.86701107]\n",
      " [-1.60667062]\n",
      " [-1.76036143]\n",
      " [-1.95713794]\n",
      " [-2.08976936]]\n",
      "1766 Cost:  4.75437 \n",
      "Prediction:\n",
      " [[-1.58379149]\n",
      " [-1.05227232]\n",
      " [-1.41456687]\n",
      " [-1.86694264]\n",
      " [-1.60659051]\n",
      " [-1.76028371]\n",
      " [-1.95708394]\n",
      " [-2.0897162 ]]\n",
      "1767 Cost:  4.75402 \n",
      "Prediction:\n",
      " [[-1.58368576]\n",
      " [-1.05216908]\n",
      " [-1.41447997]\n",
      " [-1.86687422]\n",
      " [-1.60651052]\n",
      " [-1.76020634]\n",
      " [-1.95703006]\n",
      " [-2.08966303]]\n",
      "1768 Cost:  4.75368 \n",
      "Prediction:\n",
      " [[-1.58358002]\n",
      " [-1.05206585]\n",
      " [-1.41439319]\n",
      " [-1.86680579]\n",
      " [-1.60643041]\n",
      " [-1.76012874]\n",
      " [-1.95697618]\n",
      " [-2.08960986]]\n",
      "1769 Cost:  4.75334 \n",
      "Prediction:\n",
      " [[-1.5834744 ]\n",
      " [-1.05196273]\n",
      " [-1.41430616]\n",
      " [-1.86673737]\n",
      " [-1.60635042]\n",
      " [-1.76005125]\n",
      " [-1.95692229]\n",
      " [-2.08955669]]\n",
      "1770 Cost:  4.753 \n",
      "Prediction:\n",
      " [[-1.58336866]\n",
      " [-1.05185962]\n",
      " [-1.41421938]\n",
      " [-1.86666894]\n",
      " [-1.60627019]\n",
      " [-1.75997376]\n",
      " [-1.95686829]\n",
      " [-2.08950353]]\n",
      "1771 Cost:  4.75265 \n",
      "Prediction:\n",
      " [[-1.58326292]\n",
      " [-1.05175638]\n",
      " [-1.41413248]\n",
      " [-1.86660051]\n",
      " [-1.6061902 ]\n",
      " [-1.75989628]\n",
      " [-1.95681441]\n",
      " [-2.08945036]]\n",
      "1772 Cost:  4.75231 \n",
      "Prediction:\n",
      " [[-1.5831573 ]\n",
      " [-1.05165315]\n",
      " [-1.41404557]\n",
      " [-1.86653209]\n",
      " [-1.6061101 ]\n",
      " [-1.75981879]\n",
      " [-1.95676041]\n",
      " [-2.08939719]]\n",
      "1773 Cost:  4.75197 \n",
      "Prediction:\n",
      " [[-1.58305156]\n",
      " [-1.05155003]\n",
      " [-1.41395879]\n",
      " [-1.86646366]\n",
      " [-1.60603011]\n",
      " [-1.75974131]\n",
      " [-1.95670652]\n",
      " [-2.08934402]]\n",
      "1774 Cost:  4.75163 \n",
      "Prediction:\n",
      " [[-1.58294582]\n",
      " [-1.05144691]\n",
      " [-1.41387188]\n",
      " [-1.86639512]\n",
      " [-1.60595   ]\n",
      " [-1.7596637 ]\n",
      " [-1.95665264]\n",
      " [-2.08929086]]\n",
      "1775 Cost:  4.75128 \n",
      "Prediction:\n",
      " [[-1.5828402 ]\n",
      " [-1.05134368]\n",
      " [-1.41378498]\n",
      " [-1.86632669]\n",
      " [-1.60587001]\n",
      " [-1.75958622]\n",
      " [-1.95659876]\n",
      " [-2.08923769]]\n",
      "1776 Cost:  4.75094 \n",
      "Prediction:\n",
      " [[-1.58273447]\n",
      " [-1.05124044]\n",
      " [-1.4136982 ]\n",
      " [-1.86625826]\n",
      " [-1.6057899 ]\n",
      " [-1.75950861]\n",
      " [-1.95654488]\n",
      " [-2.08918452]]\n",
      "1777 Cost:  4.7506 \n",
      "Prediction:\n",
      " [[-1.58262885]\n",
      " [-1.05113745]\n",
      " [-1.41361129]\n",
      " [-1.86618996]\n",
      " [-1.60570979]\n",
      " [-1.75943124]\n",
      " [-1.95649087]\n",
      " [-2.08913136]]\n",
      "1778 Cost:  4.75026 \n",
      "Prediction:\n",
      " [[-1.58252323]\n",
      " [-1.05103421]\n",
      " [-1.41352451]\n",
      " [-1.86612153]\n",
      " [-1.60562968]\n",
      " [-1.75935364]\n",
      " [-1.95643699]\n",
      " [-2.08907819]]\n",
      "1779 Cost:  4.74991 \n",
      "Prediction:\n",
      " [[-1.58241761]\n",
      " [-1.0509311 ]\n",
      " [-1.4134376 ]\n",
      " [-1.86605299]\n",
      " [-1.60554981]\n",
      " [-1.75927615]\n",
      " [-1.95638299]\n",
      " [-2.08902502]]\n",
      "1780 Cost:  4.74957 \n",
      "Prediction:\n",
      " [[-1.58231187]\n",
      " [-1.05082798]\n",
      " [-1.41335082]\n",
      " [-1.86598456]\n",
      " [-1.6054697 ]\n",
      " [-1.75919878]\n",
      " [-1.95632911]\n",
      " [-2.08897185]]\n",
      "1781 Cost:  4.74923 \n",
      "Prediction:\n",
      " [[-1.58220625]\n",
      " [-1.05072474]\n",
      " [-1.41326404]\n",
      " [-1.86591613]\n",
      " [-1.6053896 ]\n",
      " [-1.7591213 ]\n",
      " [-1.95627522]\n",
      " [-2.08891869]]\n",
      "1782 Cost:  4.74889 \n",
      "Prediction:\n",
      " [[-1.58210063]\n",
      " [-1.05062163]\n",
      " [-1.41317725]\n",
      " [-1.86584783]\n",
      " [-1.60530961]\n",
      " [-1.75904369]\n",
      " [-1.95622134]\n",
      " [-2.08886552]]\n",
      "1783 Cost:  4.74855 \n",
      "Prediction:\n",
      " [[-1.58199501]\n",
      " [-1.05051851]\n",
      " [-1.41309035]\n",
      " [-1.8657794 ]\n",
      " [-1.60522962]\n",
      " [-1.75896633]\n",
      " [-1.95616746]\n",
      " [-2.08881235]]\n",
      "1784 Cost:  4.7482 \n",
      "Prediction:\n",
      " [[-1.58188939]\n",
      " [-1.05041552]\n",
      " [-1.41300344]\n",
      " [-1.86571097]\n",
      " [-1.60514951]\n",
      " [-1.75888884]\n",
      " [-1.95611346]\n",
      " [-2.08875918]]\n",
      "1785 Cost:  4.74786 \n",
      "Prediction:\n",
      " [[-1.58178377]\n",
      " [-1.05031228]\n",
      " [-1.41291666]\n",
      " [-1.86564255]\n",
      " [-1.60506952]\n",
      " [-1.75881147]\n",
      " [-1.95605958]\n",
      " [-2.08870602]]\n",
      "1786 Cost:  4.74752 \n",
      "Prediction:\n",
      " [[-1.58167815]\n",
      " [-1.05020905]\n",
      " [-1.41282988]\n",
      " [-1.86557412]\n",
      " [-1.60498941]\n",
      " [-1.75873387]\n",
      " [-1.95600557]\n",
      " [-2.08865285]]\n",
      "1787 Cost:  4.74718 \n",
      "Prediction:\n",
      " [[-1.58157253]\n",
      " [-1.05010605]\n",
      " [-1.41274309]\n",
      " [-1.8655057 ]\n",
      " [-1.60490942]\n",
      " [-1.7586565 ]\n",
      " [-1.95595169]\n",
      " [-2.08859968]]\n",
      "1788 Cost:  4.74684 \n",
      "Prediction:\n",
      " [[-1.58146691]\n",
      " [-1.05000281]\n",
      " [-1.41265619]\n",
      " [-1.86543727]\n",
      " [-1.60482943]\n",
      " [-1.7585789 ]\n",
      " [-1.95589781]\n",
      " [-2.08854651]]\n",
      "1789 Cost:  4.74649 \n",
      "Prediction:\n",
      " [[-1.58136129]\n",
      " [-1.0498997 ]\n",
      " [-1.41256928]\n",
      " [-1.86536884]\n",
      " [-1.60474944]\n",
      " [-1.75850141]\n",
      " [-1.95584393]\n",
      " [-2.08849335]]\n",
      "1790 Cost:  4.74615 \n",
      "Prediction:\n",
      " [[-1.58125567]\n",
      " [-1.04979658]\n",
      " [-1.4124825 ]\n",
      " [-1.86530042]\n",
      " [-1.60466933]\n",
      " [-1.75842404]\n",
      " [-1.95579004]\n",
      " [-2.08844018]]\n",
      "1791 Cost:  4.74581 \n",
      "Prediction:\n",
      " [[-1.58115005]\n",
      " [-1.04969358]\n",
      " [-1.41239572]\n",
      " [-1.86523199]\n",
      " [-1.60458922]\n",
      " [-1.75834644]\n",
      " [-1.95573604]\n",
      " [-2.08838701]]\n",
      "1792 Cost:  4.74547 \n",
      "Prediction:\n",
      " [[-1.58104444]\n",
      " [-1.04959035]\n",
      " [-1.41230893]\n",
      " [-1.86516356]\n",
      " [-1.60450935]\n",
      " [-1.75826895]\n",
      " [-1.95568216]\n",
      " [-2.08833385]]\n",
      "1793 Cost:  4.74512 \n",
      "Prediction:\n",
      " [[-1.58093882]\n",
      " [-1.04948723]\n",
      " [-1.41222203]\n",
      " [-1.86509514]\n",
      " [-1.60442924]\n",
      " [-1.75819159]\n",
      " [-1.95562828]\n",
      " [-2.08828068]]\n",
      "1794 Cost:  4.74478 \n",
      "Prediction:\n",
      " [[-1.5808332 ]\n",
      " [-1.04938412]\n",
      " [-1.41213524]\n",
      " [-1.86502671]\n",
      " [-1.60434914]\n",
      " [-1.7581141 ]\n",
      " [-1.95557427]\n",
      " [-2.08822751]]\n",
      "1795 Cost:  4.74444 \n",
      "Prediction:\n",
      " [[-1.58072758]\n",
      " [-1.04928088]\n",
      " [-1.41204834]\n",
      " [-1.86495829]\n",
      " [-1.60426915]\n",
      " [-1.75803649]\n",
      " [-1.95552039]\n",
      " [-2.08817434]]\n",
      "1796 Cost:  4.7441 \n",
      "Prediction:\n",
      " [[-1.58062196]\n",
      " [-1.04917789]\n",
      " [-1.41196156]\n",
      " [-1.86488986]\n",
      " [-1.60418916]\n",
      " [-1.75795913]\n",
      " [-1.95546651]\n",
      " [-2.08812118]]\n",
      "1797 Cost:  4.74376 \n",
      "Prediction:\n",
      " [[-1.58051634]\n",
      " [-1.04907465]\n",
      " [-1.41187477]\n",
      " [-1.86482155]\n",
      " [-1.60410905]\n",
      " [-1.75788164]\n",
      " [-1.95541263]\n",
      " [-2.08806801]]\n",
      "1798 Cost:  4.74341 \n",
      "Prediction:\n",
      " [[-1.58041072]\n",
      " [-1.04897165]\n",
      " [-1.41178799]\n",
      " [-1.86475301]\n",
      " [-1.60402906]\n",
      " [-1.75780416]\n",
      " [-1.95535862]\n",
      " [-2.08801508]]\n",
      "1799 Cost:  4.74307 \n",
      "Prediction:\n",
      " [[-1.5803051 ]\n",
      " [-1.04886842]\n",
      " [-1.41170108]\n",
      " [-1.86468458]\n",
      " [-1.60394907]\n",
      " [-1.75772667]\n",
      " [-1.95530474]\n",
      " [-2.08796167]]\n",
      "1800 Cost:  4.74273 \n",
      "Prediction:\n",
      " [[-1.58019948]\n",
      " [-1.04876542]\n",
      " [-1.4116143 ]\n",
      " [-1.86461639]\n",
      " [-1.60386896]\n",
      " [-1.75764918]\n",
      " [-1.95525074]\n",
      " [-2.08790874]]\n",
      "1801 Cost:  4.74239 \n",
      "Prediction:\n",
      " [[-1.58009386]\n",
      " [-1.04866219]\n",
      " [-1.4115274 ]\n",
      " [-1.86454785]\n",
      " [-1.60378897]\n",
      " [-1.7575717 ]\n",
      " [-1.95519686]\n",
      " [-2.08785534]]\n",
      "1802 Cost:  4.74205 \n",
      "Prediction:\n",
      " [[-1.57998824]\n",
      " [-1.04855907]\n",
      " [-1.41144061]\n",
      " [-1.86447942]\n",
      " [-1.60370898]\n",
      " [-1.75749421]\n",
      " [-1.95514297]\n",
      " [-2.08780241]]\n",
      "1803 Cost:  4.7417 \n",
      "Prediction:\n",
      " [[-1.57988262]\n",
      " [-1.04845595]\n",
      " [-1.41135383]\n",
      " [-1.86441112]\n",
      " [-1.60362899]\n",
      " [-1.75741673]\n",
      " [-1.95508909]\n",
      " [-2.08774924]]\n",
      "1804 Cost:  4.74136 \n",
      "Prediction:\n",
      " [[-1.579777  ]\n",
      " [-1.04835272]\n",
      " [-1.41126704]\n",
      " [-1.86434269]\n",
      " [-1.60354888]\n",
      " [-1.75733924]\n",
      " [-1.95503521]\n",
      " [-2.08769608]]\n",
      "1805 Cost:  4.74102 \n",
      "Prediction:\n",
      " [[-1.57967138]\n",
      " [-1.04824972]\n",
      " [-1.41118014]\n",
      " [-1.86427414]\n",
      " [-1.60346889]\n",
      " [-1.75726175]\n",
      " [-1.95498133]\n",
      " [-2.08764291]]\n",
      "1806 Cost:  4.74068 \n",
      "Prediction:\n",
      " [[-1.57956576]\n",
      " [-1.04814672]\n",
      " [-1.41109335]\n",
      " [-1.86420572]\n",
      " [-1.60338891]\n",
      " [-1.75718439]\n",
      " [-1.95492733]\n",
      " [-2.08758974]]\n",
      "1807 Cost:  4.74034 \n",
      "Prediction:\n",
      " [[-1.57946014]\n",
      " [-1.04804349]\n",
      " [-1.41100669]\n",
      " [-1.86413741]\n",
      " [-1.60330892]\n",
      " [-1.7571069 ]\n",
      " [-1.95487344]\n",
      " [-2.08753657]]\n",
      "1808 Cost:  4.74 \n",
      "Prediction:\n",
      " [[-1.57935464]\n",
      " [-1.04794049]\n",
      " [-1.41091979]\n",
      " [-1.86406898]\n",
      " [-1.60322881]\n",
      " [-1.75702941]\n",
      " [-1.95481956]\n",
      " [-2.08748341]]\n",
      "1809 Cost:  4.73965 \n",
      "Prediction:\n",
      " [[-1.57924902]\n",
      " [-1.0478375 ]\n",
      " [-1.410833  ]\n",
      " [-1.86400056]\n",
      " [-1.60314882]\n",
      " [-1.75695205]\n",
      " [-1.95476568]\n",
      " [-2.08743024]]\n",
      "1810 Cost:  4.73931 \n",
      "Prediction:\n",
      " [[-1.5791434 ]\n",
      " [-1.04773438]\n",
      " [-1.41074622]\n",
      " [-1.86393213]\n",
      " [-1.60306883]\n",
      " [-1.75687456]\n",
      " [-1.95471168]\n",
      " [-2.08737707]]\n",
      "1811 Cost:  4.73897 \n",
      "Prediction:\n",
      " [[-1.57903779]\n",
      " [-1.04763126]\n",
      " [-1.41065943]\n",
      " [-1.86386371]\n",
      " [-1.60298872]\n",
      " [-1.75679708]\n",
      " [-1.95465779]\n",
      " [-2.08732414]]\n",
      "1812 Cost:  4.73863 \n",
      "Prediction:\n",
      " [[-1.57893229]\n",
      " [-1.04752827]\n",
      " [-1.41057265]\n",
      " [-1.8637954 ]\n",
      " [-1.60290873]\n",
      " [-1.75671959]\n",
      " [-1.95460391]\n",
      " [-2.08727098]]\n",
      "1813 Cost:  4.73829 \n",
      "Prediction:\n",
      " [[-1.57882667]\n",
      " [-1.04742527]\n",
      " [-1.41048586]\n",
      " [-1.86372709]\n",
      " [-1.60282874]\n",
      " [-1.7566421 ]\n",
      " [-1.95455003]\n",
      " [-2.08721781]]\n",
      "1814 Cost:  4.73795 \n",
      "Prediction:\n",
      " [[-1.57872105]\n",
      " [-1.04732227]\n",
      " [-1.41039896]\n",
      " [-1.86365855]\n",
      " [-1.60274887]\n",
      " [-1.75656462]\n",
      " [-1.95449615]\n",
      " [-2.08716464]]\n",
      "1815 Cost:  4.7376 \n",
      "Prediction:\n",
      " [[-1.57861543]\n",
      " [-1.04721916]\n",
      " [-1.41031229]\n",
      " [-1.86359012]\n",
      " [-1.60266876]\n",
      " [-1.75648725]\n",
      " [-1.95444226]\n",
      " [-2.08711147]]\n",
      "1816 Cost:  4.73726 \n",
      "Prediction:\n",
      " [[-1.57850981]\n",
      " [-1.04711604]\n",
      " [-1.41022551]\n",
      " [-1.86352181]\n",
      " [-1.60258877]\n",
      " [-1.75640988]\n",
      " [-1.95438838]\n",
      " [-2.08705854]]\n",
      "1817 Cost:  4.73692 \n",
      "Prediction:\n",
      " [[-1.57840431]\n",
      " [-1.04701304]\n",
      " [-1.41013885]\n",
      " [-1.86345339]\n",
      " [-1.6025089 ]\n",
      " [-1.7563324 ]\n",
      " [-1.9543345 ]\n",
      " [-2.08700538]]\n",
      "1818 Cost:  4.73658 \n",
      "Prediction:\n",
      " [[-1.57829881]\n",
      " [-1.04691005]\n",
      " [-1.41005206]\n",
      " [-1.86338496]\n",
      " [-1.60242891]\n",
      " [-1.75625503]\n",
      " [-1.95428061]\n",
      " [-2.08695221]]\n",
      "1819 Cost:  4.73624 \n",
      "Prediction:\n",
      " [[-1.57819343]\n",
      " [-1.04680717]\n",
      " [-1.4099654 ]\n",
      " [-1.86331666]\n",
      " [-1.60234904]\n",
      " [-1.75617766]\n",
      " [-1.95422673]\n",
      " [-2.08689904]]\n",
      "1820 Cost:  4.7359 \n",
      "Prediction:\n",
      " [[-1.57808781]\n",
      " [-1.04670429]\n",
      " [-1.40987873]\n",
      " [-1.86324835]\n",
      " [-1.60226905]\n",
      " [-1.7561003 ]\n",
      " [-1.95417285]\n",
      " [-2.08684587]]\n",
      "1821 Cost:  4.73556 \n",
      "Prediction:\n",
      " [[-1.57798243]\n",
      " [-1.04660106]\n",
      " [-1.40979195]\n",
      " [-1.86318004]\n",
      " [-1.60218906]\n",
      " [-1.75602293]\n",
      " [-1.95411897]\n",
      " [-2.08679271]]\n",
      "1822 Cost:  4.73521 \n",
      "Prediction:\n",
      " [[-1.57787693]\n",
      " [-1.04649818]\n",
      " [-1.4097054 ]\n",
      " [-1.86311173]\n",
      " [-1.60210919]\n",
      " [-1.75594544]\n",
      " [-1.95406508]\n",
      " [-2.08673954]]\n",
      "1823 Cost:  4.73487 \n",
      "Prediction:\n",
      " [[-1.57777143]\n",
      " [-1.0463953 ]\n",
      " [-1.40961862]\n",
      " [-1.86304331]\n",
      " [-1.60202932]\n",
      " [-1.75586808]\n",
      " [-1.9540112 ]\n",
      " [-2.08668661]]\n",
      "1824 Cost:  4.73453 \n",
      "Prediction:\n",
      " [[-1.57766604]\n",
      " [-1.0462923 ]\n",
      " [-1.40953183]\n",
      " [-1.862975  ]\n",
      " [-1.60194933]\n",
      " [-1.75579071]\n",
      " [-1.95395732]\n",
      " [-2.08663344]]\n",
      "1825 Cost:  4.73419 \n",
      "Prediction:\n",
      " [[-1.57756042]\n",
      " [-1.04618931]\n",
      " [-1.40944505]\n",
      " [-1.86290669]\n",
      " [-1.60186934]\n",
      " [-1.75571322]\n",
      " [-1.95390344]\n",
      " [-2.08658028]]\n",
      "1826 Cost:  4.73385 \n",
      "Prediction:\n",
      " [[-1.57745504]\n",
      " [-1.04608631]\n",
      " [-1.40935838]\n",
      " [-1.86283827]\n",
      " [-1.60178947]\n",
      " [-1.75563598]\n",
      " [-1.95384955]\n",
      " [-2.08652711]]\n",
      "1827 Cost:  4.73351 \n",
      "Prediction:\n",
      " [[-1.57734954]\n",
      " [-1.04598343]\n",
      " [-1.40927172]\n",
      " [-1.86276996]\n",
      " [-1.60170949]\n",
      " [-1.75555861]\n",
      " [-1.95379567]\n",
      " [-2.08647394]]\n",
      "1828 Cost:  4.73317 \n",
      "Prediction:\n",
      " [[-1.57724404]\n",
      " [-1.04588032]\n",
      " [-1.40918493]\n",
      " [-1.86270165]\n",
      " [-1.60162961]\n",
      " [-1.75548124]\n",
      " [-1.95374179]\n",
      " [-2.08642101]]\n",
      "1829 Cost:  4.73283 \n",
      "Prediction:\n",
      " [[-1.57713866]\n",
      " [-1.04577744]\n",
      " [-1.40909839]\n",
      " [-1.86263323]\n",
      " [-1.60154963]\n",
      " [-1.75540376]\n",
      " [-1.95368803]\n",
      " [-2.08636785]]\n",
      "1830 Cost:  4.73248 \n",
      "Prediction:\n",
      " [[-1.57703316]\n",
      " [-1.04567456]\n",
      " [-1.4090116 ]\n",
      " [-1.86256492]\n",
      " [-1.60146976]\n",
      " [-1.75532639]\n",
      " [-1.95363402]\n",
      " [-2.08631468]]\n",
      "1831 Cost:  4.73214 \n",
      "Prediction:\n",
      " [[-1.57692766]\n",
      " [-1.04557157]\n",
      " [-1.40892482]\n",
      " [-1.86249661]\n",
      " [-1.60138988]\n",
      " [-1.75524902]\n",
      " [-1.95358026]\n",
      " [-2.08626151]]\n",
      "1832 Cost:  4.7318 \n",
      "Prediction:\n",
      " [[-1.57682216]\n",
      " [-1.04546857]\n",
      " [-1.40883827]\n",
      " [-1.86242819]\n",
      " [-1.6013099 ]\n",
      " [-1.75517154]\n",
      " [-1.95352638]\n",
      " [-2.08620834]]\n",
      "1833 Cost:  4.73146 \n",
      "Prediction:\n",
      " [[-1.57671666]\n",
      " [-1.04536569]\n",
      " [-1.40875149]\n",
      " [-1.86235988]\n",
      " [-1.60122991]\n",
      " [-1.75509417]\n",
      " [-1.9534725 ]\n",
      " [-2.08615518]]\n",
      "1834 Cost:  4.73112 \n",
      "Prediction:\n",
      " [[-1.57661128]\n",
      " [-1.04526281]\n",
      " [-1.40866482]\n",
      " [-1.86229157]\n",
      " [-1.60115004]\n",
      " [-1.7550168 ]\n",
      " [-1.95341861]\n",
      " [-2.08610201]]\n",
      "1835 Cost:  4.73078 \n",
      "Prediction:\n",
      " [[-1.57650578]\n",
      " [-1.04515958]\n",
      " [-1.40857804]\n",
      " [-1.86222327]\n",
      " [-1.60107017]\n",
      " [-1.75493944]\n",
      " [-1.95336473]\n",
      " [-2.08604908]]\n",
      "1836 Cost:  4.73044 \n",
      "Prediction:\n",
      " [[-1.57640028]\n",
      " [-1.0450567 ]\n",
      " [-1.40849149]\n",
      " [-1.86215496]\n",
      " [-1.60099018]\n",
      " [-1.75486207]\n",
      " [-1.95331085]\n",
      " [-2.08599591]]\n",
      "1837 Cost:  4.7301 \n",
      "Prediction:\n",
      " [[-1.5762949 ]\n",
      " [-1.04495382]\n",
      " [-1.40840471]\n",
      " [-1.86208653]\n",
      " [-1.60091031]\n",
      " [-1.75478458]\n",
      " [-1.95325696]\n",
      " [-2.08594275]]\n",
      "1838 Cost:  4.72976 \n",
      "Prediction:\n",
      " [[-1.5761894 ]\n",
      " [-1.04485083]\n",
      " [-1.40831804]\n",
      " [-1.86201811]\n",
      " [-1.60083032]\n",
      " [-1.75470722]\n",
      " [-1.95320308]\n",
      " [-2.08588958]]\n",
      "1839 Cost:  4.72942 \n",
      "Prediction:\n",
      " [[-1.5760839 ]\n",
      " [-1.04474783]\n",
      " [-1.40823126]\n",
      " [-1.86194992]\n",
      " [-1.60075045]\n",
      " [-1.75462985]\n",
      " [-1.95314932]\n",
      " [-2.08583641]]\n",
      "1840 Cost:  4.72907 \n",
      "Prediction:\n",
      " [[-1.57597852]\n",
      " [-1.04464483]\n",
      " [-1.40814459]\n",
      " [-1.86188149]\n",
      " [-1.60067058]\n",
      " [-1.7545526 ]\n",
      " [-1.95309544]\n",
      " [-2.08578324]]\n",
      "1841 Cost:  4.72873 \n",
      "Prediction:\n",
      " [[-1.57587302]\n",
      " [-1.04454195]\n",
      " [-1.40805793]\n",
      " [-1.86181319]\n",
      " [-1.60059047]\n",
      " [-1.75447512]\n",
      " [-1.95304155]\n",
      " [-2.08573008]]\n",
      "1842 Cost:  4.72839 \n",
      "Prediction:\n",
      " [[-1.57576752]\n",
      " [-1.04443908]\n",
      " [-1.40797114]\n",
      " [-1.86174488]\n",
      " [-1.6005106 ]\n",
      " [-1.75439775]\n",
      " [-1.95298767]\n",
      " [-2.08567715]]\n",
      "1843 Cost:  4.72805 \n",
      "Prediction:\n",
      " [[-1.57566214]\n",
      " [-1.04433596]\n",
      " [-1.4078846 ]\n",
      " [-1.86167645]\n",
      " [-1.60043073]\n",
      " [-1.75432038]\n",
      " [-1.95293379]\n",
      " [-2.08562398]]\n",
      "1844 Cost:  4.72771 \n",
      "Prediction:\n",
      " [[-1.57555664]\n",
      " [-1.04423308]\n",
      " [-1.40779781]\n",
      " [-1.86160803]\n",
      " [-1.60035074]\n",
      " [-1.7542429 ]\n",
      " [-1.95287991]\n",
      " [-2.08557081]]\n",
      "1845 Cost:  4.72737 \n",
      "Prediction:\n",
      " [[-1.57545114]\n",
      " [-1.04413009]\n",
      " [-1.40771115]\n",
      " [-1.86153972]\n",
      " [-1.60027087]\n",
      " [-1.75416565]\n",
      " [-1.95282602]\n",
      " [-2.08551764]]\n",
      "1846 Cost:  4.72703 \n",
      "Prediction:\n",
      " [[-1.57534575]\n",
      " [-1.04402721]\n",
      " [-1.40762448]\n",
      " [-1.86147141]\n",
      " [-1.60019088]\n",
      " [-1.75408816]\n",
      " [-1.95277214]\n",
      " [-2.08546448]]\n",
      "1847 Cost:  4.72669 \n",
      "Prediction:\n",
      " [[-1.57524025]\n",
      " [-1.04392433]\n",
      " [-1.4075377 ]\n",
      " [-1.86140311]\n",
      " [-1.60011101]\n",
      " [-1.75401092]\n",
      " [-1.95271826]\n",
      " [-2.08541155]]\n",
      "1848 Cost:  4.72635 \n",
      "Prediction:\n",
      " [[-1.57513475]\n",
      " [-1.04382133]\n",
      " [-1.40745103]\n",
      " [-1.8613348 ]\n",
      " [-1.60003114]\n",
      " [-1.75393343]\n",
      " [-1.95266438]\n",
      " [-2.08535838]]\n",
      "1849 Cost:  4.72601 \n",
      "Prediction:\n",
      " [[-1.57502937]\n",
      " [-1.04371834]\n",
      " [-1.40736437]\n",
      " [-1.86126637]\n",
      " [-1.59995115]\n",
      " [-1.75385606]\n",
      " [-1.95261049]\n",
      " [-2.08530521]]\n",
      "1850 Cost:  4.72567 \n",
      "Prediction:\n",
      " [[-1.57492387]\n",
      " [-1.04361534]\n",
      " [-1.4072777 ]\n",
      " [-1.86119807]\n",
      " [-1.59987116]\n",
      " [-1.7537787 ]\n",
      " [-1.95255661]\n",
      " [-2.08525205]]\n",
      "1851 Cost:  4.72532 \n",
      "Prediction:\n",
      " [[-1.57481837]\n",
      " [-1.04351246]\n",
      " [-1.40719092]\n",
      " [-1.86112976]\n",
      " [-1.59979129]\n",
      " [-1.75370145]\n",
      " [-1.95250273]\n",
      " [-2.08519888]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1852 Cost:  4.72498 \n",
      "Prediction:\n",
      " [[-1.57471299]\n",
      " [-1.04340959]\n",
      " [-1.40710425]\n",
      " [-1.86106145]\n",
      " [-1.59971142]\n",
      " [-1.75362396]\n",
      " [-1.95244884]\n",
      " [-2.08514571]]\n",
      "1853 Cost:  4.72464 \n",
      "Prediction:\n",
      " [[-1.57460761]\n",
      " [-1.04330659]\n",
      " [-1.40701759]\n",
      " [-1.86099315]\n",
      " [-1.59963155]\n",
      " [-1.75354671]\n",
      " [-1.95239508]\n",
      " [-2.08509254]]\n",
      "1854 Cost:  4.7243 \n",
      "Prediction:\n",
      " [[-1.57450223]\n",
      " [-1.04320359]\n",
      " [-1.40693092]\n",
      " [-1.86092472]\n",
      " [-1.59955156]\n",
      " [-1.75346935]\n",
      " [-1.9523412 ]\n",
      " [-2.08503962]]\n",
      "1855 Cost:  4.72396 \n",
      "Prediction:\n",
      " [[-1.57439685]\n",
      " [-1.04310083]\n",
      " [-1.40684426]\n",
      " [-1.86085653]\n",
      " [-1.59947181]\n",
      " [-1.75339198]\n",
      " [-1.95228732]\n",
      " [-2.08498645]]\n",
      "1856 Cost:  4.72362 \n",
      "Prediction:\n",
      " [[-1.57429147]\n",
      " [-1.04299796]\n",
      " [-1.40675759]\n",
      " [-1.86078811]\n",
      " [-1.59939182]\n",
      " [-1.75331461]\n",
      " [-1.95223343]\n",
      " [-2.08493328]]\n",
      "1857 Cost:  4.72328 \n",
      "Prediction:\n",
      " [[-1.57418609]\n",
      " [-1.04289484]\n",
      " [-1.40667093]\n",
      " [-1.8607198 ]\n",
      " [-1.59931195]\n",
      " [-1.75323725]\n",
      " [-1.95217955]\n",
      " [-2.08488011]]\n",
      "1858 Cost:  4.72294 \n",
      "Prediction:\n",
      " [[-1.57408071]\n",
      " [-1.04279208]\n",
      " [-1.40658426]\n",
      " [-1.86065149]\n",
      " [-1.59923196]\n",
      " [-1.75315976]\n",
      " [-1.95212567]\n",
      " [-2.08482695]]\n",
      "1859 Cost:  4.7226 \n",
      "Prediction:\n",
      " [[-1.57397532]\n",
      " [-1.04268909]\n",
      " [-1.4064976 ]\n",
      " [-1.86058319]\n",
      " [-1.59915209]\n",
      " [-1.75308251]\n",
      " [-1.95207191]\n",
      " [-2.08477402]]\n",
      "1860 Cost:  4.72226 \n",
      "Prediction:\n",
      " [[-1.57386994]\n",
      " [-1.04258621]\n",
      " [-1.40641093]\n",
      " [-1.86051488]\n",
      " [-1.59907222]\n",
      " [-1.75300515]\n",
      " [-1.95201802]\n",
      " [-2.08472085]]\n",
      "1861 Cost:  4.72192 \n",
      "Prediction:\n",
      " [[-1.57376456]\n",
      " [-1.04248333]\n",
      " [-1.40632427]\n",
      " [-1.86044657]\n",
      " [-1.59899235]\n",
      " [-1.75292778]\n",
      " [-1.95196414]\n",
      " [-2.08466768]]\n",
      "1862 Cost:  4.72158 \n",
      "Prediction:\n",
      " [[-1.57365918]\n",
      " [-1.04238045]\n",
      " [-1.4062376 ]\n",
      " [-1.86037827]\n",
      " [-1.59891248]\n",
      " [-1.75285053]\n",
      " [-1.95191026]\n",
      " [-2.08461452]]\n",
      "1863 Cost:  4.72124 \n",
      "Prediction:\n",
      " [[-1.5735538 ]\n",
      " [-1.04227757]\n",
      " [-1.40615094]\n",
      " [-1.86030996]\n",
      " [-1.59883261]\n",
      " [-1.75277305]\n",
      " [-1.95185637]\n",
      " [-2.08456135]]\n",
      "1864 Cost:  4.7209 \n",
      "Prediction:\n",
      " [[-1.57344842]\n",
      " [-1.0421747 ]\n",
      " [-1.40606439]\n",
      " [-1.86024165]\n",
      " [-1.59875274]\n",
      " [-1.7526958 ]\n",
      " [-1.95180249]\n",
      " [-2.08450842]]\n",
      "1865 Cost:  4.72056 \n",
      "Prediction:\n",
      " [[-1.57334304]\n",
      " [-1.0420717 ]\n",
      " [-1.40597773]\n",
      " [-1.86017323]\n",
      " [-1.59867275]\n",
      " [-1.75261843]\n",
      " [-1.95174861]\n",
      " [-2.08445525]]\n",
      "1866 Cost:  4.72022 \n",
      "Prediction:\n",
      " [[-1.57323766]\n",
      " [-1.04196882]\n",
      " [-1.40589106]\n",
      " [-1.86010504]\n",
      " [-1.59859288]\n",
      " [-1.75254107]\n",
      " [-1.95169473]\n",
      " [-2.08440208]]\n",
      "1867 Cost:  4.71987 \n",
      "Prediction:\n",
      " [[-1.57313228]\n",
      " [-1.04186594]\n",
      " [-1.4058044 ]\n",
      " [-1.86003661]\n",
      " [-1.59851301]\n",
      " [-1.7524637 ]\n",
      " [-1.95164084]\n",
      " [-2.08434892]]\n",
      "1868 Cost:  4.71954 \n",
      "Prediction:\n",
      " [[-1.57302713]\n",
      " [-1.04176331]\n",
      " [-1.40571797]\n",
      " [-1.85996866]\n",
      " [-1.59843338]\n",
      " [-1.75238657]\n",
      " [-1.9515872 ]\n",
      " [-2.08429599]]\n",
      "1869 Cost:  4.7192 \n",
      "Prediction:\n",
      " [[-1.57292199]\n",
      " [-1.04166067]\n",
      " [-1.40563154]\n",
      " [-1.85990047]\n",
      " [-1.59835374]\n",
      " [-1.75230944]\n",
      " [-1.95153356]\n",
      " [-2.0842433 ]]\n",
      "1870 Cost:  4.71886 \n",
      "Prediction:\n",
      " [[-1.57281685]\n",
      " [-1.04155803]\n",
      " [-1.405545  ]\n",
      " [-1.85983241]\n",
      " [-1.59827411]\n",
      " [-1.75223243]\n",
      " [-1.95147991]\n",
      " [-2.08419037]]\n",
      "1871 Cost:  4.71852 \n",
      "Prediction:\n",
      " [[-1.57271171]\n",
      " [-1.04145527]\n",
      " [-1.40545869]\n",
      " [-1.85976434]\n",
      " [-1.59819436]\n",
      " [-1.7521553 ]\n",
      " [-1.95142639]\n",
      " [-2.08413744]]\n",
      "1872 Cost:  4.71818 \n",
      "Prediction:\n",
      " [[-1.57260656]\n",
      " [-1.04135251]\n",
      " [-1.40537226]\n",
      " [-1.85969627]\n",
      " [-1.59811473]\n",
      " [-1.75207818]\n",
      " [-1.95137262]\n",
      " [-2.08408451]]\n",
      "1873 Cost:  4.71784 \n",
      "Prediction:\n",
      " [[-1.57250142]\n",
      " [-1.04124999]\n",
      " [-1.40528584]\n",
      " [-1.8596282 ]\n",
      " [-1.5980351 ]\n",
      " [-1.75200105]\n",
      " [-1.9513191 ]\n",
      " [-2.08403158]]\n",
      "1874 Cost:  4.7175 \n",
      "Prediction:\n",
      " [[-1.57239628]\n",
      " [-1.04114723]\n",
      " [-1.40519953]\n",
      " [-1.85956025]\n",
      " [-1.59795547]\n",
      " [-1.75192392]\n",
      " [-1.95126545]\n",
      " [-2.08397865]]\n",
      "1875 Cost:  4.71716 \n",
      "Prediction:\n",
      " [[-1.57229114]\n",
      " [-1.04104471]\n",
      " [-1.40511298]\n",
      " [-1.85949206]\n",
      " [-1.59787583]\n",
      " [-1.75184679]\n",
      " [-1.95121181]\n",
      " [-2.08392596]]\n",
      "1876 Cost:  4.71682 \n",
      "Prediction:\n",
      " [[-1.57218599]\n",
      " [-1.04094207]\n",
      " [-1.40502667]\n",
      " [-1.859424  ]\n",
      " [-1.5977962 ]\n",
      " [-1.75176978]\n",
      " [-1.95115817]\n",
      " [-2.08387303]]\n",
      "1877 Cost:  4.71648 \n",
      "Prediction:\n",
      " [[-1.57208085]\n",
      " [-1.04083943]\n",
      " [-1.40494013]\n",
      " [-1.85935593]\n",
      " [-1.59771657]\n",
      " [-1.75169265]\n",
      " [-1.95110464]\n",
      " [-2.0838201 ]]\n",
      "1878 Cost:  4.71614 \n",
      "Prediction:\n",
      " [[-1.57197571]\n",
      " [-1.04073668]\n",
      " [-1.40485382]\n",
      " [-1.85928786]\n",
      " [-1.59763694]\n",
      " [-1.75161552]\n",
      " [-1.951051  ]\n",
      " [-2.08376718]]\n",
      "1879 Cost:  4.7158 \n",
      "Prediction:\n",
      " [[-1.57187057]\n",
      " [-1.04063404]\n",
      " [-1.40476727]\n",
      " [-1.85921979]\n",
      " [-1.59755731]\n",
      " [-1.75153852]\n",
      " [-1.95099735]\n",
      " [-2.08371425]]\n",
      "1880 Cost:  4.71546 \n",
      "Prediction:\n",
      " [[-1.57176542]\n",
      " [-1.0405314 ]\n",
      " [-1.40468097]\n",
      " [-1.8591516 ]\n",
      " [-1.59747756]\n",
      " [-1.75146127]\n",
      " [-1.95094371]\n",
      " [-2.08366156]]\n",
      "1881 Cost:  4.71512 \n",
      "Prediction:\n",
      " [[-1.57166028]\n",
      " [-1.04042864]\n",
      " [-1.40459454]\n",
      " [-1.85908365]\n",
      " [-1.59739792]\n",
      " [-1.75138426]\n",
      " [-1.95089006]\n",
      " [-2.08360863]]\n",
      "1882 Cost:  4.71479 \n",
      "Prediction:\n",
      " [[-1.57155514]\n",
      " [-1.04032612]\n",
      " [-1.40450811]\n",
      " [-1.85901546]\n",
      " [-1.59731829]\n",
      " [-1.75130713]\n",
      " [-1.95083642]\n",
      " [-2.0835557 ]]\n",
      "1883 Cost:  4.71445 \n",
      "Prediction:\n",
      " [[-1.57145   ]\n",
      " [-1.04022348]\n",
      " [-1.40442181]\n",
      " [-1.85894752]\n",
      " [-1.59723866]\n",
      " [-1.75123   ]\n",
      " [-1.95078278]\n",
      " [-2.08350277]]\n",
      "1884 Cost:  4.71411 \n",
      "Prediction:\n",
      " [[-1.57134485]\n",
      " [-1.04012084]\n",
      " [-1.40433526]\n",
      " [-1.85887945]\n",
      " [-1.59715903]\n",
      " [-1.75115299]\n",
      " [-1.95072913]\n",
      " [-2.08344984]]\n",
      "1885 Cost:  4.71377 \n",
      "Prediction:\n",
      " [[-1.57123971]\n",
      " [-1.0400182 ]\n",
      " [-1.40424895]\n",
      " [-1.85881138]\n",
      " [-1.5970794 ]\n",
      " [-1.75107574]\n",
      " [-1.95067549]\n",
      " [-2.08339691]]\n",
      "1886 Cost:  4.71343 \n",
      "Prediction:\n",
      " [[-1.57113469]\n",
      " [-1.03991544]\n",
      " [-1.40416253]\n",
      " [-1.85874331]\n",
      " [-1.59699976]\n",
      " [-1.75099874]\n",
      " [-1.95062184]\n",
      " [-2.08334398]]\n",
      "1887 Cost:  4.71309 \n",
      "Prediction:\n",
      " [[-1.57102954]\n",
      " [-1.0398128 ]\n",
      " [-1.4040761 ]\n",
      " [-1.85867524]\n",
      " [-1.59692013]\n",
      " [-1.75092161]\n",
      " [-1.9505682 ]\n",
      " [-2.08329129]]\n",
      "1888 Cost:  4.71275 \n",
      "Prediction:\n",
      " [[-1.5709244 ]\n",
      " [-1.03971016]\n",
      " [-1.40398967]\n",
      " [-1.85860705]\n",
      " [-1.59684038]\n",
      " [-1.7508446 ]\n",
      " [-1.95051455]\n",
      " [-2.08323836]]\n",
      "1889 Cost:  4.71241 \n",
      "Prediction:\n",
      " [[-1.57081926]\n",
      " [-1.03960752]\n",
      " [-1.40390325]\n",
      " [-1.8585391 ]\n",
      " [-1.59676075]\n",
      " [-1.75076747]\n",
      " [-1.95046103]\n",
      " [-2.08318543]]\n",
      "1890 Cost:  4.71207 \n",
      "Prediction:\n",
      " [[-1.57071424]\n",
      " [-1.039505  ]\n",
      " [-1.40381682]\n",
      " [-1.85847092]\n",
      " [-1.59668112]\n",
      " [-1.75069034]\n",
      " [-1.95040739]\n",
      " [-2.08313251]]\n",
      "1891 Cost:  4.71173 \n",
      "Prediction:\n",
      " [[-1.57060909]\n",
      " [-1.03940225]\n",
      " [-1.40373039]\n",
      " [-1.85840297]\n",
      " [-1.59660149]\n",
      " [-1.75061321]\n",
      " [-1.95035374]\n",
      " [-2.08307981]]\n",
      "1892 Cost:  4.71139 \n",
      "Prediction:\n",
      " [[-1.57050395]\n",
      " [-1.03929973]\n",
      " [-1.40364408]\n",
      " [-1.85833478]\n",
      " [-1.59652185]\n",
      " [-1.7505362 ]\n",
      " [-1.9503001 ]\n",
      " [-2.08302689]]\n",
      "1893 Cost:  4.71105 \n",
      "Prediction:\n",
      " [[-1.57039881]\n",
      " [-1.03919697]\n",
      " [-1.40355754]\n",
      " [-1.85826671]\n",
      " [-1.59644222]\n",
      " [-1.75045919]\n",
      " [-1.95024645]\n",
      " [-2.08297396]]\n",
      "1894 Cost:  4.71072 \n",
      "Prediction:\n",
      " [[-1.57029366]\n",
      " [-1.03909421]\n",
      " [-1.40347123]\n",
      " [-1.85819864]\n",
      " [-1.59636259]\n",
      " [-1.75038195]\n",
      " [-1.95019293]\n",
      " [-2.08292103]]\n",
      "1895 Cost:  4.71038 \n",
      "Prediction:\n",
      " [[-1.57018852]\n",
      " [-1.03899169]\n",
      " [-1.4033848 ]\n",
      " [-1.85813069]\n",
      " [-1.59628296]\n",
      " [-1.75030482]\n",
      " [-1.95013928]\n",
      " [-2.0828681 ]]\n",
      "1896 Cost:  4.71004 \n",
      "Prediction:\n",
      " [[-1.57008338]\n",
      " [-1.03888905]\n",
      " [-1.40329838]\n",
      " [-1.85806251]\n",
      " [-1.59620333]\n",
      " [-1.75022781]\n",
      " [-1.95008564]\n",
      " [-2.08281517]]\n",
      "1897 Cost:  4.7097 \n",
      "Prediction:\n",
      " [[-1.56997836]\n",
      " [-1.03878641]\n",
      " [-1.40321207]\n",
      " [-1.85799456]\n",
      " [-1.5961237 ]\n",
      " [-1.75015068]\n",
      " [-1.950032  ]\n",
      " [-2.08276248]]\n",
      "1898 Cost:  4.70936 \n",
      "Prediction:\n",
      " [[-1.56987321]\n",
      " [-1.03868365]\n",
      " [-1.40312552]\n",
      " [-1.85792637]\n",
      " [-1.59604406]\n",
      " [-1.75007355]\n",
      " [-1.94997835]\n",
      " [-2.08270955]]\n",
      "1899 Cost:  4.70902 \n",
      "Prediction:\n",
      " [[-1.56976819]\n",
      " [-1.03858113]\n",
      " [-1.40303922]\n",
      " [-1.85785842]\n",
      " [-1.59596443]\n",
      " [-1.74999654]\n",
      " [-1.94992471]\n",
      " [-2.08265662]]\n",
      "1900 Cost:  4.70868 \n",
      "Prediction:\n",
      " [[-1.56966305]\n",
      " [-1.03847861]\n",
      " [-1.40295279]\n",
      " [-1.85779035]\n",
      " [-1.5958848 ]\n",
      " [-1.74991941]\n",
      " [-1.94987106]\n",
      " [-2.08260369]]\n",
      "1901 Cost:  4.70834 \n",
      "Prediction:\n",
      " [[-1.56955791]\n",
      " [-1.03837574]\n",
      " [-1.40286636]\n",
      " [-1.85772228]\n",
      " [-1.59580517]\n",
      " [-1.74984229]\n",
      " [-1.94981742]\n",
      " [-2.08255076]]\n",
      "1902 Cost:  4.708 \n",
      "Prediction:\n",
      " [[-1.56945276]\n",
      " [-1.03827322]\n",
      " [-1.40278006]\n",
      " [-1.85765409]\n",
      " [-1.59572554]\n",
      " [-1.74976516]\n",
      " [-1.94976389]\n",
      " [-2.08249807]]\n",
      "1903 Cost:  4.70766 \n",
      "Prediction:\n",
      " [[-1.56934762]\n",
      " [-1.0381707 ]\n",
      " [-1.40269363]\n",
      " [-1.85758615]\n",
      " [-1.59564602]\n",
      " [-1.74968815]\n",
      " [-1.94971025]\n",
      " [-2.08244514]]\n",
      "1904 Cost:  4.70733 \n",
      "Prediction:\n",
      " [[-1.56924248]\n",
      " [-1.03806806]\n",
      " [-1.40260732]\n",
      " [-1.85751796]\n",
      " [-1.59556639]\n",
      " [-1.74961114]\n",
      " [-1.94965661]\n",
      " [-2.08239222]]\n",
      "1905 Cost:  4.70699 \n",
      "Prediction:\n",
      " [[-1.56913745]\n",
      " [-1.03796554]\n",
      " [-1.4025209 ]\n",
      " [-1.85745001]\n",
      " [-1.59548676]\n",
      " [-1.74953401]\n",
      " [-1.94960296]\n",
      " [-2.08233953]]\n",
      "1906 Cost:  4.70665 \n",
      "Prediction:\n",
      " [[-1.56903231]\n",
      " [-1.03786302]\n",
      " [-1.40243459]\n",
      " [-1.85738194]\n",
      " [-1.59540713]\n",
      " [-1.74945688]\n",
      " [-1.94954944]\n",
      " [-2.0822866 ]]\n",
      "1907 Cost:  4.70631 \n",
      "Prediction:\n",
      " [[-1.56892729]\n",
      " [-1.0377605 ]\n",
      " [-1.40234816]\n",
      " [-1.85731387]\n",
      " [-1.5953275 ]\n",
      " [-1.74937987]\n",
      " [-1.94949579]\n",
      " [-2.08223367]]\n",
      "1908 Cost:  4.70597 \n",
      "Prediction:\n",
      " [[-1.56882215]\n",
      " [-1.03765774]\n",
      " [-1.40226185]\n",
      " [-1.85724592]\n",
      " [-1.59524786]\n",
      " [-1.74930274]\n",
      " [-1.94944215]\n",
      " [-2.08218098]]\n",
      "1909 Cost:  4.70563 \n",
      "Prediction:\n",
      " [[-1.568717  ]\n",
      " [-1.03755522]\n",
      " [-1.40217543]\n",
      " [-1.85717773]\n",
      " [-1.59516835]\n",
      " [-1.74922574]\n",
      " [-1.9493885 ]\n",
      " [-2.08212805]]\n",
      "1910 Cost:  4.70529 \n",
      "Prediction:\n",
      " [[-1.56861186]\n",
      " [-1.0374527 ]\n",
      " [-1.40208912]\n",
      " [-1.85710979]\n",
      " [-1.59508872]\n",
      " [-1.74914861]\n",
      " [-1.94933498]\n",
      " [-2.08207512]]\n",
      "1911 Cost:  4.70495 \n",
      "Prediction:\n",
      " [[-1.56850672]\n",
      " [-1.03735006]\n",
      " [-1.40200281]\n",
      " [-1.8570416 ]\n",
      " [-1.59500909]\n",
      " [-1.7490716 ]\n",
      " [-1.94928133]\n",
      " [-2.08202219]]\n",
      "1912 Cost:  4.70462 \n",
      "Prediction:\n",
      " [[-1.56840169]\n",
      " [-1.03724742]\n",
      " [-1.40191638]\n",
      " [-1.85697365]\n",
      " [-1.59492946]\n",
      " [-1.74899459]\n",
      " [-1.94922769]\n",
      " [-2.0819695 ]]\n",
      "1913 Cost:  4.70428 \n",
      "Prediction:\n",
      " [[-1.56829667]\n",
      " [-1.0371449 ]\n",
      " [-1.40183008]\n",
      " [-1.85690546]\n",
      " [-1.59484982]\n",
      " [-1.74891734]\n",
      " [-1.94917417]\n",
      " [-2.08191657]]\n",
      "1914 Cost:  4.70394 \n",
      "Prediction:\n",
      " [[-1.56819153]\n",
      " [-1.03704238]\n",
      " [-1.40174365]\n",
      " [-1.85683751]\n",
      " [-1.59477019]\n",
      " [-1.74884033]\n",
      " [-1.94912052]\n",
      " [-2.08186388]]\n",
      "1915 Cost:  4.7036 \n",
      "Prediction:\n",
      " [[-1.56808639]\n",
      " [-1.03693962]\n",
      " [-1.40165734]\n",
      " [-1.85676944]\n",
      " [-1.59469056]\n",
      " [-1.74876332]\n",
      " [-1.94906688]\n",
      " [-2.08181095]]\n",
      "1916 Cost:  4.70326 \n",
      "Prediction:\n",
      " [[-1.56798124]\n",
      " [-1.0368371 ]\n",
      " [-1.40157104]\n",
      " [-1.85670137]\n",
      " [-1.59461093]\n",
      " [-1.74868619]\n",
      " [-1.94901323]\n",
      " [-2.08175802]]\n",
      "1917 Cost:  4.70292 \n",
      "Prediction:\n",
      " [[-1.56787622]\n",
      " [-1.03673458]\n",
      " [-1.40148449]\n",
      " [-1.85663319]\n",
      " [-1.59453142]\n",
      " [-1.74860907]\n",
      " [-1.94895959]\n",
      " [-2.08170509]]\n",
      "1918 Cost:  4.70258 \n",
      "Prediction:\n",
      " [[-1.56777108]\n",
      " [-1.03663206]\n",
      " [-1.40139818]\n",
      " [-1.85656524]\n",
      " [-1.59445179]\n",
      " [-1.74853206]\n",
      " [-1.94890606]\n",
      " [-2.0816524 ]]\n",
      "1919 Cost:  4.70225 \n",
      "Prediction:\n",
      " [[-1.56766605]\n",
      " [-1.03652954]\n",
      " [-1.40131187]\n",
      " [-1.85649717]\n",
      " [-1.59437215]\n",
      " [-1.74845505]\n",
      " [-1.94885242]\n",
      " [-2.08159947]]\n",
      "1920 Cost:  4.70191 \n",
      "Prediction:\n",
      " [[-1.56756091]\n",
      " [-1.03642702]\n",
      " [-1.40122545]\n",
      " [-1.8564291 ]\n",
      " [-1.59429252]\n",
      " [-1.74837792]\n",
      " [-1.94879878]\n",
      " [-2.08154655]]\n",
      "1921 Cost:  4.70157 \n",
      "Prediction:\n",
      " [[-1.56745577]\n",
      " [-1.03632438]\n",
      " [-1.40113914]\n",
      " [-1.85636115]\n",
      " [-1.59421301]\n",
      " [-1.74830091]\n",
      " [-1.94874525]\n",
      " [-2.08149385]]\n",
      "1922 Cost:  4.70123 \n",
      "Prediction:\n",
      " [[-1.56735063]\n",
      " [-1.03622186]\n",
      " [-1.40105271]\n",
      " [-1.85629296]\n",
      " [-1.59413326]\n",
      " [-1.74822378]\n",
      " [-1.94869161]\n",
      " [-2.08144093]]\n",
      "1923 Cost:  4.70089 \n",
      "Prediction:\n",
      " [[-1.5672456 ]\n",
      " [-1.03611922]\n",
      " [-1.40096641]\n",
      " [-1.85622501]\n",
      " [-1.59405375]\n",
      " [-1.74814677]\n",
      " [-1.94863796]\n",
      " [-2.081388  ]]\n",
      "1924 Cost:  4.70055 \n",
      "Prediction:\n",
      " [[-1.56714058]\n",
      " [-1.03601658]\n",
      " [-1.40087998]\n",
      " [-1.85615683]\n",
      " [-1.59397411]\n",
      " [-1.74806964]\n",
      " [-1.94858432]\n",
      " [-2.08133531]]\n",
      "1925 Cost:  4.70021 \n",
      "Prediction:\n",
      " [[-1.56703544]\n",
      " [-1.03591394]\n",
      " [-1.40079367]\n",
      " [-1.85608888]\n",
      " [-1.59389448]\n",
      " [-1.74799263]\n",
      " [-1.94853067]\n",
      " [-2.08128238]]\n",
      "1926 Cost:  4.69988 \n",
      "Prediction:\n",
      " [[-1.56693029]\n",
      " [-1.03581142]\n",
      " [-1.40070724]\n",
      " [-1.85602081]\n",
      " [-1.59381485]\n",
      " [-1.74791551]\n",
      " [-1.94847715]\n",
      " [-2.08122945]]\n",
      "1927 Cost:  4.69954 \n",
      "Prediction:\n",
      " [[-1.56682527]\n",
      " [-1.0357089 ]\n",
      " [-1.40062094]\n",
      " [-1.85595274]\n",
      " [-1.59373534]\n",
      " [-1.7478385 ]\n",
      " [-1.9484235 ]\n",
      " [-2.08117676]]\n",
      "1928 Cost:  4.6992 \n",
      "Prediction:\n",
      " [[-1.56672013]\n",
      " [-1.03560638]\n",
      " [-1.40053463]\n",
      " [-1.85588467]\n",
      " [-1.59365571]\n",
      " [-1.74776149]\n",
      " [-1.94836986]\n",
      " [-2.08112383]]\n",
      "1929 Cost:  4.69886 \n",
      "Prediction:\n",
      " [[-1.5666151 ]\n",
      " [-1.03550386]\n",
      " [-1.40044832]\n",
      " [-1.8558166 ]\n",
      " [-1.59357607]\n",
      " [-1.74768448]\n",
      " [-1.94831634]\n",
      " [-2.0810709 ]]\n",
      "1930 Cost:  4.69852 \n",
      "Prediction:\n",
      " [[-1.56651008]\n",
      " [-1.03540134]\n",
      " [-1.4003619 ]\n",
      " [-1.85574865]\n",
      " [-1.59349656]\n",
      " [-1.74760735]\n",
      " [-1.94826269]\n",
      " [-2.08101797]]\n",
      "1931 Cost:  4.69818 \n",
      "Prediction:\n",
      " [[-1.56640506]\n",
      " [-1.03529882]\n",
      " [-1.40027559]\n",
      " [-1.85568058]\n",
      " [-1.59341693]\n",
      " [-1.74753034]\n",
      " [-1.94820905]\n",
      " [-2.08096528]]\n",
      "1932 Cost:  4.69785 \n",
      "Prediction:\n",
      " [[-1.56630003]\n",
      " [-1.0351963 ]\n",
      " [-1.40018928]\n",
      " [-1.85561252]\n",
      " [-1.59333742]\n",
      " [-1.74745321]\n",
      " [-1.9481554 ]\n",
      " [-2.08091235]]\n",
      "1933 Cost:  4.69751 \n",
      "Prediction:\n",
      " [[-1.56619501]\n",
      " [-1.03509378]\n",
      " [-1.40010309]\n",
      " [-1.85554457]\n",
      " [-1.59325778]\n",
      " [-1.7473762 ]\n",
      " [-1.94810176]\n",
      " [-2.08085966]]\n",
      "1934 Cost:  4.69717 \n",
      "Prediction:\n",
      " [[-1.56608999]\n",
      " [-1.03499126]\n",
      " [-1.40001667]\n",
      " [-1.85547662]\n",
      " [-1.59317827]\n",
      " [-1.74729919]\n",
      " [-1.94804823]\n",
      " [-2.08080673]]\n",
      "1935 Cost:  4.69683 \n",
      "Prediction:\n",
      " [[-1.56598496]\n",
      " [-1.03488874]\n",
      " [-1.39993024]\n",
      " [-1.85540843]\n",
      " [-1.59309864]\n",
      " [-1.74722219]\n",
      " [-1.94799459]\n",
      " [-2.0807538 ]]\n",
      "1936 Cost:  4.69649 \n",
      "Prediction:\n",
      " [[-1.56587994]\n",
      " [-1.03478622]\n",
      " [-1.39984393]\n",
      " [-1.85534048]\n",
      " [-1.59301901]\n",
      " [-1.74714518]\n",
      " [-1.94794106]\n",
      " [-2.08070087]]\n",
      "1937 Cost:  4.69615 \n",
      "Prediction:\n",
      " [[-1.56577492]\n",
      " [-1.0346837 ]\n",
      " [-1.39975774]\n",
      " [-1.85527241]\n",
      " [-1.59293938]\n",
      " [-1.74706805]\n",
      " [-1.94788742]\n",
      " [-2.08064818]]\n",
      "1938 Cost:  4.69582 \n",
      "Prediction:\n",
      " [[-1.56566989]\n",
      " [-1.03458118]\n",
      " [-1.39967144]\n",
      " [-1.85520434]\n",
      " [-1.59285986]\n",
      " [-1.74699116]\n",
      " [-1.94783378]\n",
      " [-2.08059525]]\n",
      "1939 Cost:  4.69548 \n",
      "Prediction:\n",
      " [[-1.56556487]\n",
      " [-1.03447866]\n",
      " [-1.39958501]\n",
      " [-1.85513639]\n",
      " [-1.59278035]\n",
      " [-1.74691403]\n",
      " [-1.94778013]\n",
      " [-2.08054256]]\n",
      "1940 Cost:  4.69514 \n",
      "Prediction:\n",
      " [[-1.56545985]\n",
      " [-1.03437614]\n",
      " [-1.3994987 ]\n",
      " [-1.85506821]\n",
      " [-1.59270072]\n",
      " [-1.74683702]\n",
      " [-1.94772649]\n",
      " [-2.08048964]]\n",
      "1941 Cost:  4.6948 \n",
      "Prediction:\n",
      " [[-1.56535482]\n",
      " [-1.03427362]\n",
      " [-1.39941239]\n",
      " [-1.85500026]\n",
      " [-1.59262109]\n",
      " [-1.74675989]\n",
      " [-1.94767284]\n",
      " [-2.08043671]]\n",
      "1942 Cost:  4.69446 \n",
      "Prediction:\n",
      " [[-1.5652498 ]\n",
      " [-1.0341711 ]\n",
      " [-1.39932609]\n",
      " [-1.85493231]\n",
      " [-1.59254169]\n",
      " [-1.74668288]\n",
      " [-1.94761932]\n",
      " [-2.08038402]]\n",
      "1943 Cost:  4.69413 \n",
      "Prediction:\n",
      " [[-1.56514478]\n",
      " [-1.03406858]\n",
      " [-1.39923978]\n",
      " [-1.85486412]\n",
      " [-1.59246206]\n",
      " [-1.74660587]\n",
      " [-1.94756567]\n",
      " [-2.08033109]]\n",
      "1944 Cost:  4.69379 \n",
      "Prediction:\n",
      " [[-1.56503975]\n",
      " [-1.03396606]\n",
      " [-1.39915347]\n",
      " [-1.85479617]\n",
      " [-1.59238243]\n",
      " [-1.74652886]\n",
      " [-1.94751215]\n",
      " [-2.08027816]]\n",
      "1945 Cost:  4.69345 \n",
      "Prediction:\n",
      " [[-1.56493473]\n",
      " [-1.03386354]\n",
      " [-1.39906716]\n",
      " [-1.85472822]\n",
      " [-1.59230292]\n",
      " [-1.74645185]\n",
      " [-1.94745851]\n",
      " [-2.08022547]]\n",
      "1946 Cost:  4.69311 \n",
      "Prediction:\n",
      " [[-1.56482971]\n",
      " [-1.03376102]\n",
      " [-1.39898086]\n",
      " [-1.85466015]\n",
      " [-1.59222341]\n",
      " [-1.74637485]\n",
      " [-1.94740486]\n",
      " [-2.08017254]]\n",
      "1947 Cost:  4.69277 \n",
      "Prediction:\n",
      " [[-1.56472468]\n",
      " [-1.0336585 ]\n",
      " [-1.39889455]\n",
      " [-1.85459208]\n",
      " [-1.59214377]\n",
      " [-1.74629784]\n",
      " [-1.94735122]\n",
      " [-2.08011961]]\n",
      "1948 Cost:  4.69243 \n",
      "Prediction:\n",
      " [[-1.56461978]\n",
      " [-1.03355598]\n",
      " [-1.39880812]\n",
      " [-1.85452414]\n",
      " [-1.59206426]\n",
      " [-1.74622083]\n",
      " [-1.94729757]\n",
      " [-2.08006668]]\n",
      "1949 Cost:  4.6921 \n",
      "Prediction:\n",
      " [[-1.56451464]\n",
      " [-1.03345358]\n",
      " [-1.39872181]\n",
      " [-1.85445607]\n",
      " [-1.59198463]\n",
      " [-1.7461437 ]\n",
      " [-1.94724405]\n",
      " [-2.08001399]]\n",
      "1950 Cost:  4.69176 \n",
      "Prediction:\n",
      " [[-1.56440973]\n",
      " [-1.03335106]\n",
      " [-1.39863563]\n",
      " [-1.85438812]\n",
      " [-1.59190512]\n",
      " [-1.74606669]\n",
      " [-1.9471904 ]\n",
      " [-2.07996106]]\n",
      "1951 Cost:  4.69142 \n",
      "Prediction:\n",
      " [[-1.56430483]\n",
      " [-1.03324866]\n",
      " [-1.39854932]\n",
      " [-1.85432005]\n",
      " [-1.5918256 ]\n",
      " [-1.7459898 ]\n",
      " [-1.94713688]\n",
      " [-2.07990837]]\n",
      "1952 Cost:  4.69108 \n",
      "Prediction:\n",
      " [[-1.56420004]\n",
      " [-1.03314638]\n",
      " [-1.39846325]\n",
      " [-1.8542521 ]\n",
      " [-1.59174609]\n",
      " [-1.74591279]\n",
      " [-1.94708323]\n",
      " [-2.07985544]]\n",
      "1953 Cost:  4.69075 \n",
      "Prediction:\n",
      " [[-1.56409514]\n",
      " [-1.03304386]\n",
      " [-1.39837694]\n",
      " [-1.85418415]\n",
      " [-1.59166658]\n",
      " [-1.74583578]\n",
      " [-1.94702971]\n",
      " [-2.07980251]]\n",
      "1954 Cost:  4.69041 \n",
      "Prediction:\n",
      " [[-1.56399024]\n",
      " [-1.03294146]\n",
      " [-1.39829063]\n",
      " [-1.8541162 ]\n",
      " [-1.59158707]\n",
      " [-1.74575889]\n",
      " [-1.94697607]\n",
      " [-2.07974982]]\n",
      "1955 Cost:  4.69007 \n",
      "Prediction:\n",
      " [[-1.56388533]\n",
      " [-1.03283906]\n",
      " [-1.39820445]\n",
      " [-1.85404825]\n",
      " [-1.59150767]\n",
      " [-1.74568188]\n",
      " [-1.94692254]\n",
      " [-2.07969689]]\n",
      "1956 Cost:  4.68973 \n",
      "Prediction:\n",
      " [[-1.56378043]\n",
      " [-1.03273654]\n",
      " [-1.39811826]\n",
      " [-1.8539803 ]\n",
      " [-1.59142804]\n",
      " [-1.74560499]\n",
      " [-1.9468689 ]\n",
      " [-2.07964396]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1957 Cost:  4.68939 \n",
      "Prediction:\n",
      " [[-1.56367564]\n",
      " [-1.03263402]\n",
      " [-1.39803195]\n",
      " [-1.85391235]\n",
      " [-1.59134865]\n",
      " [-1.74552798]\n",
      " [-1.94681537]\n",
      " [-2.07959127]]\n",
      "1958 Cost:  4.68906 \n",
      "Prediction:\n",
      " [[-1.56357074]\n",
      " [-1.03253174]\n",
      " [-1.39794564]\n",
      " [-1.85384429]\n",
      " [-1.59126914]\n",
      " [-1.74545097]\n",
      " [-1.94676185]\n",
      " [-2.07953835]]\n",
      "1959 Cost:  4.68872 \n",
      "Prediction:\n",
      " [[-1.56346583]\n",
      " [-1.03242934]\n",
      " [-1.39785933]\n",
      " [-1.85377634]\n",
      " [-1.59118962]\n",
      " [-1.74537396]\n",
      " [-1.9467082 ]\n",
      " [-2.07948542]]\n",
      "1960 Cost:  4.68838 \n",
      "Prediction:\n",
      " [[-1.56336093]\n",
      " [-1.03232694]\n",
      " [-1.39777327]\n",
      " [-1.85370839]\n",
      " [-1.59111011]\n",
      " [-1.74529696]\n",
      " [-1.94665456]\n",
      " [-2.07943273]]\n",
      "1961 Cost:  4.68804 \n",
      "Prediction:\n",
      " [[-1.56325603]\n",
      " [-1.03222442]\n",
      " [-1.39768696]\n",
      " [-1.85364044]\n",
      " [-1.5910306 ]\n",
      " [-1.74522007]\n",
      " [-1.94660103]\n",
      " [-2.0793798 ]]\n",
      "1962 Cost:  4.68771 \n",
      "Prediction:\n",
      " [[-1.56315112]\n",
      " [-1.03212202]\n",
      " [-1.39760077]\n",
      " [-1.85357237]\n",
      " [-1.59095109]\n",
      " [-1.74514306]\n",
      " [-1.94654751]\n",
      " [-2.07932687]]\n",
      "1963 Cost:  4.68737 \n",
      "Prediction:\n",
      " [[-1.56304622]\n",
      " [-1.03201962]\n",
      " [-1.39751446]\n",
      " [-1.85350442]\n",
      " [-1.59087157]\n",
      " [-1.74506617]\n",
      " [-1.94649386]\n",
      " [-2.07927418]]\n",
      "1964 Cost:  4.68703 \n",
      "Prediction:\n",
      " [[-1.56294131]\n",
      " [-1.03191733]\n",
      " [-1.39742827]\n",
      " [-1.85343647]\n",
      " [-1.59079218]\n",
      " [-1.74498916]\n",
      " [-1.94644022]\n",
      " [-2.07922125]]\n",
      "1965 Cost:  4.68669 \n",
      "Prediction:\n",
      " [[-1.56283653]\n",
      " [-1.03181481]\n",
      " [-1.39734197]\n",
      " [-1.85336852]\n",
      " [-1.59071267]\n",
      " [-1.74491215]\n",
      " [-1.94638669]\n",
      " [-2.07916832]]\n",
      "1966 Cost:  4.68636 \n",
      "Prediction:\n",
      " [[-1.56273162]\n",
      " [-1.03171253]\n",
      " [-1.39725578]\n",
      " [-1.85330057]\n",
      " [-1.59063315]\n",
      " [-1.74483526]\n",
      " [-1.94633317]\n",
      " [-2.07911563]]\n",
      "1967 Cost:  4.68602 \n",
      "Prediction:\n",
      " [[-1.56262672]\n",
      " [-1.03161001]\n",
      " [-1.39716959]\n",
      " [-1.85323262]\n",
      " [-1.59055376]\n",
      " [-1.74475837]\n",
      " [-1.94627953]\n",
      " [-2.0790627 ]]\n",
      "1968 Cost:  4.68568 \n",
      "Prediction:\n",
      " [[-1.56252193]\n",
      " [-1.03150749]\n",
      " [-1.39708328]\n",
      " [-1.85316467]\n",
      " [-1.59047413]\n",
      " [-1.74468136]\n",
      " [-1.94622588]\n",
      " [-2.07900977]]\n",
      "1969 Cost:  4.68534 \n",
      "Prediction:\n",
      " [[-1.56241703]\n",
      " [-1.03140521]\n",
      " [-1.39699709]\n",
      " [-1.85309672]\n",
      " [-1.59039474]\n",
      " [-1.74460435]\n",
      " [-1.94617236]\n",
      " [-2.07895708]]\n",
      "1970 Cost:  4.68501 \n",
      "Prediction:\n",
      " [[-1.56231213]\n",
      " [-1.03130269]\n",
      " [-1.39691079]\n",
      " [-1.85302877]\n",
      " [-1.59031522]\n",
      " [-1.74452734]\n",
      " [-1.94611883]\n",
      " [-2.07890415]]\n",
      "1971 Cost:  4.68467 \n",
      "Prediction:\n",
      " [[-1.56220722]\n",
      " [-1.03120041]\n",
      " [-1.3968246 ]\n",
      " [-1.85296071]\n",
      " [-1.59023571]\n",
      " [-1.74445045]\n",
      " [-1.94606519]\n",
      " [-2.07885122]]\n",
      "1972 Cost:  4.68433 \n",
      "Prediction:\n",
      " [[-1.56210232]\n",
      " [-1.03109789]\n",
      " [-1.39673841]\n",
      " [-1.85289276]\n",
      " [-1.5901562 ]\n",
      " [-1.74437344]\n",
      " [-1.94601154]\n",
      " [-2.07879853]]\n",
      "1973 Cost:  4.68399 \n",
      "Prediction:\n",
      " [[-1.56199741]\n",
      " [-1.03099561]\n",
      " [-1.3966521 ]\n",
      " [-1.85282481]\n",
      " [-1.59007668]\n",
      " [-1.74429655]\n",
      " [-1.94595802]\n",
      " [-2.0787456 ]]\n",
      "1974 Cost:  4.68366 \n",
      "Prediction:\n",
      " [[-1.56189263]\n",
      " [-1.03089309]\n",
      " [-1.39656591]\n",
      " [-1.85275674]\n",
      " [-1.58999717]\n",
      " [-1.74421954]\n",
      " [-1.94590449]\n",
      " [-2.07869267]]\n",
      "1975 Cost:  4.68332 \n",
      "Prediction:\n",
      " [[-1.56178772]\n",
      " [-1.03079081]\n",
      " [-1.39647961]\n",
      " [-1.85268879]\n",
      " [-1.58991766]\n",
      " [-1.74414253]\n",
      " [-1.94585085]\n",
      " [-2.07863998]]\n",
      "1976 Cost:  4.68298 \n",
      "Prediction:\n",
      " [[-1.56168294]\n",
      " [-1.03068817]\n",
      " [-1.39639342]\n",
      " [-1.85262084]\n",
      " [-1.58983827]\n",
      " [-1.74406564]\n",
      " [-1.9457972 ]\n",
      " [-2.07858706]]\n",
      "1977 Cost:  4.68264 \n",
      "Prediction:\n",
      " [[-1.56157804]\n",
      " [-1.03058589]\n",
      " [-1.39630723]\n",
      " [-1.85255289]\n",
      " [-1.58975875]\n",
      " [-1.74398863]\n",
      " [-1.94574368]\n",
      " [-2.07853413]]\n",
      "1978 Cost:  4.68231 \n",
      "Prediction:\n",
      " [[-1.56147313]\n",
      " [-1.03048348]\n",
      " [-1.39622092]\n",
      " [-1.85248494]\n",
      " [-1.58967924]\n",
      " [-1.74391174]\n",
      " [-1.94569016]\n",
      " [-2.0784812 ]]\n",
      "1979 Cost:  4.68197 \n",
      "Prediction:\n",
      " [[-1.56136823]\n",
      " [-1.03038096]\n",
      " [-1.39613473]\n",
      " [-1.85241699]\n",
      " [-1.58959985]\n",
      " [-1.74383473]\n",
      " [-1.94563651]\n",
      " [-2.07842851]]\n",
      "1980 Cost:  4.68163 \n",
      "Prediction:\n",
      " [[-1.56126332]\n",
      " [-1.03027868]\n",
      " [-1.39604855]\n",
      " [-1.85234904]\n",
      " [-1.58952034]\n",
      " [-1.74375784]\n",
      " [-1.94558299]\n",
      " [-2.07837558]]\n",
      "1981 Cost:  4.68129 \n",
      "Prediction:\n",
      " [[-1.56115854]\n",
      " [-1.03017616]\n",
      " [-1.39596224]\n",
      " [-1.85228109]\n",
      " [-1.58944082]\n",
      " [-1.74368083]\n",
      " [-1.94552934]\n",
      " [-2.07832289]]\n",
      "1982 Cost:  4.68096 \n",
      "Prediction:\n",
      " [[-1.56105363]\n",
      " [-1.03007388]\n",
      " [-1.39587593]\n",
      " [-1.85221314]\n",
      " [-1.58936131]\n",
      " [-1.74360394]\n",
      " [-1.94547582]\n",
      " [-2.07826996]]\n",
      "1983 Cost:  4.68062 \n",
      "Prediction:\n",
      " [[-1.56094885]\n",
      " [-1.02997148]\n",
      " [-1.39578986]\n",
      " [-1.8521452 ]\n",
      " [-1.5892818 ]\n",
      " [-1.74352694]\n",
      " [-1.94542217]\n",
      " [-2.07821703]]\n",
      "1984 Cost:  4.68028 \n",
      "Prediction:\n",
      " [[-1.56084394]\n",
      " [-1.02986908]\n",
      " [-1.39570367]\n",
      " [-1.85207713]\n",
      " [-1.58920228]\n",
      " [-1.74344993]\n",
      " [-1.94536853]\n",
      " [-2.07816434]]\n",
      "1985 Cost:  4.67995 \n",
      "Prediction:\n",
      " [[-1.56073904]\n",
      " [-1.02976656]\n",
      " [-1.39561737]\n",
      " [-1.85200918]\n",
      " [-1.58912277]\n",
      " [-1.74337292]\n",
      " [-1.94531512]\n",
      " [-2.07811141]]\n",
      "1986 Cost:  4.67961 \n",
      "Prediction:\n",
      " [[-1.56063414]\n",
      " [-1.02966428]\n",
      " [-1.39553106]\n",
      " [-1.85194123]\n",
      " [-1.58904338]\n",
      " [-1.74329603]\n",
      " [-1.94526148]\n",
      " [-2.07805848]]\n",
      "1987 Cost:  4.67927 \n",
      "Prediction:\n",
      " [[-1.56052935]\n",
      " [-1.02956176]\n",
      " [-1.39544487]\n",
      " [-1.85187328]\n",
      " [-1.58896387]\n",
      " [-1.74321902]\n",
      " [-1.94520783]\n",
      " [-2.07800579]]\n",
      "1988 Cost:  4.67893 \n",
      "Prediction:\n",
      " [[-1.56042445]\n",
      " [-1.02945936]\n",
      " [-1.39535868]\n",
      " [-1.85180533]\n",
      " [-1.58888435]\n",
      " [-1.74314213]\n",
      " [-1.94515431]\n",
      " [-2.07795286]]\n",
      "1989 Cost:  4.6786 \n",
      "Prediction:\n",
      " [[-1.56031966]\n",
      " [-1.02935696]\n",
      " [-1.39527249]\n",
      " [-1.85173738]\n",
      " [-1.58880496]\n",
      " [-1.74306512]\n",
      " [-1.94510067]\n",
      " [-2.07789993]]\n",
      "1990 Cost:  4.67826 \n",
      "Prediction:\n",
      " [[-1.56021476]\n",
      " [-1.02925467]\n",
      " [-1.39518619]\n",
      " [-1.85166931]\n",
      " [-1.58872533]\n",
      " [-1.74298823]\n",
      " [-1.94504714]\n",
      " [-2.07784724]]\n",
      "1991 Cost:  4.67792 \n",
      "Prediction:\n",
      " [[-1.56010985]\n",
      " [-1.02915215]\n",
      " [-1.3951    ]\n",
      " [-1.85160136]\n",
      " [-1.58864594]\n",
      " [-1.74291134]\n",
      " [-1.9449935 ]\n",
      " [-2.07779431]]\n",
      "1992 Cost:  4.67759 \n",
      "Prediction:\n",
      " [[-1.56000495]\n",
      " [-1.02904987]\n",
      " [-1.39501369]\n",
      " [-1.85153341]\n",
      " [-1.58856654]\n",
      " [-1.74283433]\n",
      " [-1.94493997]\n",
      " [-2.07774138]]\n",
      "1993 Cost:  4.67725 \n",
      "Prediction:\n",
      " [[-1.55990016]\n",
      " [-1.02894735]\n",
      " [-1.3949275 ]\n",
      " [-1.85146546]\n",
      " [-1.58848691]\n",
      " [-1.74275732]\n",
      " [-1.94488645]\n",
      " [-2.07768869]]\n",
      "1994 Cost:  4.67691 \n",
      "Prediction:\n",
      " [[-1.55979538]\n",
      " [-1.02884507]\n",
      " [-1.39484131]\n",
      " [-1.85139751]\n",
      " [-1.58840752]\n",
      " [-1.74268043]\n",
      " [-1.9448328 ]\n",
      " [-2.07763577]]\n",
      "1995 Cost:  4.67657 \n",
      "Prediction:\n",
      " [[-1.55969048]\n",
      " [-1.02874279]\n",
      " [-1.39475513]\n",
      " [-1.85132957]\n",
      " [-1.588328  ]\n",
      " [-1.74260342]\n",
      " [-1.94477916]\n",
      " [-2.07758284]]\n",
      "1996 Cost:  4.67624 \n",
      "Prediction:\n",
      " [[-1.55958557]\n",
      " [-1.02864015]\n",
      " [-1.39466882]\n",
      " [-1.85126162]\n",
      " [-1.58824849]\n",
      " [-1.74252653]\n",
      " [-1.94472563]\n",
      " [-2.07753015]]\n",
      "1997 Cost:  4.6759 \n",
      "Prediction:\n",
      " [[-1.55948067]\n",
      " [-1.02853787]\n",
      " [-1.39458263]\n",
      " [-1.85119367]\n",
      " [-1.5881691 ]\n",
      " [-1.74244952]\n",
      " [-1.94467211]\n",
      " [-2.07747722]]\n",
      "1998 Cost:  4.67556 \n",
      "Prediction:\n",
      " [[-1.55937588]\n",
      " [-1.02843547]\n",
      " [-1.39449644]\n",
      " [-1.85112572]\n",
      " [-1.58808959]\n",
      " [-1.74237251]\n",
      " [-1.94461846]\n",
      " [-2.07742453]]\n",
      "1999 Cost:  4.67523 \n",
      "Prediction:\n",
      " [[-1.5592711 ]\n",
      " [-1.02833319]\n",
      " [-1.39441037]\n",
      " [-1.85105777]\n",
      " [-1.58801007]\n",
      " [-1.74229562]\n",
      " [-1.94456494]\n",
      " [-2.0773716 ]]\n",
      "2000 Cost:  4.67489 \n",
      "Prediction:\n",
      " [[-1.55916619]\n",
      " [-1.02823079]\n",
      " [-1.39432406]\n",
      " [-1.85098982]\n",
      " [-1.58793068]\n",
      " [-1.74221873]\n",
      " [-1.94451141]\n",
      " [-2.07731867]]\n"
     ]
    }
   ],
   "source": [
    "x_data = xy[:, 0:-1]\n",
    "y_data = xy[:, [-1]]\n",
    "# placeholders for a tensor that will be always fed.\n",
    "X = tf.placeholder(tf.float32, shape=[None, 4])\n",
    "Y = tf.placeholder(tf.float32, shape=[None, 1])\n",
    "W = tf.Variable(tf.random_normal([4, 1]), name='weight')\n",
    "b = tf.Variable(tf.random_normal([1]), name='bias')\n",
    "\n",
    "hypothesis = tf.matmul(X, W) + b\n",
    "cost = tf.reduce_mean(tf.square(hypothesis - Y))\n",
    "# Minimize\n",
    "optimizer = tf.train.GradientDescentOptimizer(learning_rate=1e-5)\n",
    "train = optimizer.minimize(cost)\n",
    "\n",
    "sess = tf.Session()\n",
    "sess.run(tf.global_variables_initializer())\n",
    "for step in range(2001):\n",
    "   cost_val, hy_val, _ = sess.run(\n",
    "       [cost, hypothesis, train], feed_dict={X: x_data, Y: y_data})\n",
    "   print(step, \"Cost: \", cost_val, \"\\nPrediction:\\n\", hy_val)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.examples.tutorials.mnist import input_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "nb_classes = 10\n",
    "X = tf.placeholder(tf.float32,[None,784])\n",
    "Y = tf.placeholder(tf.float32,[None,nb_classes])\n",
    "\n",
    "W = tf.Variable(tf.random_normal([784,nb_classes]))\n",
    "b = tf.Variable(tf.random_normal([nb_classes]))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "hypothesis = tf.nn.softmax(tf.matmul(X,W)+b)\n",
    "cost = tf.reduce_mean(-tf.reduce_sum(Y*tf.log(hypothesis),axis = 1))\n",
    "optimizer = tf.train.GradientDescentOptimizer(learning_rate = 0.1).minimize(cost)\n",
    "is_correct = tf.equal(tf.arg_max(hypothesis,1),tf.arg_max(Y,1))\n",
    "accuracy = tf.reduce_mean(tf.cast(is_correct,tf.float32))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extracting MNIST_data/train-images-idx3-ubyte.gz\n",
      "Extracting MNIST_data/train-labels-idx1-ubyte.gz\n",
      "Extracting MNIST_data/t10k-images-idx3-ubyte.gz\n",
      "Extracting MNIST_data/t10k-labels-idx1-ubyte.gz\n"
     ]
    }
   ],
   "source": [
    "mnist = input_data.read_data_sets('MNIST_data/',one_hot = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "batch_xs,batch_ys = mnist.train.next_batch(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "training_epochs= 15\n",
    "batch_size = 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: 0001 cost =  2.696817490\n",
      "Epoch: 0002 cost =  1.112817120\n",
      "Epoch: 0003 cost =  0.888617924\n",
      "Epoch: 0004 cost =  0.777862642\n",
      "Epoch: 0005 cost =  0.709547197\n",
      "Epoch: 0006 cost =  0.657944476\n",
      "Epoch: 0007 cost =  0.620523874\n",
      "Epoch: 0008 cost =  0.591423479\n",
      "Epoch: 0009 cost =  0.565995253\n",
      "Epoch: 0010 cost =  0.545116413\n",
      "Epoch: 0011 cost =  0.528064936\n",
      "Epoch: 0012 cost =  0.512452861\n",
      "Epoch: 0013 cost =  0.498605163\n",
      "Epoch: 0014 cost =  0.486560494\n",
      "Epoch: 0015 cost =  0.476173268\n",
      "label: [2]\n",
      "prediction: [2]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1cf01b07d30>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "with tf.Session() as sess:\n",
    "    sess.run(tf.global_variables_initializer())\n",
    "    for epoch in range(training_epochs):\n",
    "        avg_cost = 0\n",
    "        total_batch = int(mnist.train.num_examples/batch_size)\n",
    "        \n",
    "        for i in range(total_batch):\n",
    "            batch_xs,batch_ys = mnist.train.next_batch(batch_size)\n",
    "            c, _ = sess.run([cost,optimizer],feed_dict = {X:batch_xs,Y:batch_ys})\n",
    "            avg_cost +=c/total_batch\n",
    "            \n",
    "        print('Epoch:', '%04d' %(epoch +1), 'cost = ', '{:.9f}'.format(avg_cost))\n",
    "        \n",
    "    r = random.randint(0,mnist.test.num_examples -1)\n",
    "    print('label:',sess.run(tf.argmax(mnist.test.labels[r:r+1],1)))\n",
    "    print('prediction:', sess.run(tf.argmax(hypothesis,1),feed_dict = {X:mnist.test.images[r:r+1]}))\n",
    "    plt.imshow(mnist.test.images[r:r+1].reshape(28,28),cmap = 'Greys', interpolation = 'nearest')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import random"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "ename": "RuntimeError",
     "evalue": "Attempted to use a closed Session.",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-51-04314fb75b06>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrandom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrandint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mmnist\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtest\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnum_examples\u001b[0m \u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'label:'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0msess\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0margmax\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmnist\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtest\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlabels\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mr\u001b[0m\u001b[1;33m:\u001b[0m\u001b[0mr\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'prediction:'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msess\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0margmax\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhypothesis\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mfeed_dict\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m{\u001b[0m\u001b[0mX\u001b[0m\u001b[1;33m:\u001b[0m\u001b[0mmnist\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtest\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mimages\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mr\u001b[0m\u001b[1;33m:\u001b[0m\u001b[0mr\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmnist\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtest\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mimages\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mr\u001b[0m\u001b[1;33m:\u001b[0m\u001b[0mr\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m28\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m28\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mcmap\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'Greys'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minterpolation\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'nearest'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\carnd-term1\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36mrun\u001b[1;34m(self, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m    764\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    765\u001b[0m       result = self._run(None, fetches, feed_dict, options_ptr,\n\u001b[1;32m--> 766\u001b[1;33m                          run_metadata_ptr)\n\u001b[0m\u001b[0;32m    767\u001b[0m       \u001b[1;32mif\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    768\u001b[0m         \u001b[0mproto_data\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtf_session\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mTF_GetBuffer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrun_metadata_ptr\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\carnd-term1\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_run\u001b[1;34m(self, handle, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m    900\u001b[0m     \u001b[1;31m# Check session.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    901\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_closed\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 902\u001b[1;33m       \u001b[1;32mraise\u001b[0m \u001b[0mRuntimeError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Attempted to use a closed Session.'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    903\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgraph\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mversion\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    904\u001b[0m       raise RuntimeError('The Session graph is empty.  Add operations to the '\n",
      "\u001b[1;31mRuntimeError\u001b[0m: Attempted to use a closed Session."
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10000"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mnist.test.num_examples\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "r = random.randint(0,mnist.test.num_examples-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7277\n"
     ]
    }
   ],
   "source": [
    "print(r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.,  0.]])"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mnist.test.labels[r:r+1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.,  0.])"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mnist.test.labels[r]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[8]\n"
     ]
    }
   ],
   "source": [
    "with tf.Session() as sess:\n",
    "    print(sess.run(tf.argmax(mnist.test.labels[r:r+1],1)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  },
  "widgets": {
   "state": {},
   "version": "1.1.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}