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Solves #1543 :- EV Battery Life Prediction #1544

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Oct 24, 2024
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Solves #1543 :- EV Battery Life Prediction #1544

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773 changes: 773 additions & 0 deletions Prediction Models/EV Battery LIfe Prediction/Model/final_notebooks_5.3-ssn-stacker.ipynb
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8,789 changes: 8,789 additions & 0 deletions Prediction Models/EV Battery LIfe Prediction/Model/final_notebooks_Final-XGBoost.ipynb
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3,018 changes: 3,018 additions & 0 deletions Prediction Models/EV Battery LIfe Prediction/Model/notebooks_Final-Data-Prep-NB.ipynb
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2,472 changes: 2,472 additions & 0 deletions Prediction Models/EV Battery LIfe Prediction/Model/notebooks_XGBoost-part-GridSearchCV.ipynb
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736 changes: 736 additions & 0 deletions Prediction Models/EV Battery LIfe Prediction/Model/notebooks_dask_xgb_1.1.ipynb
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949 changes: 949 additions & 0 deletions Prediction Models/EV Battery LIfe Prediction/Model/notebooks_flow_file.ipynb
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388 changes: 388 additions & 0 deletions Prediction Models/EV Battery LIfe Prediction/Model/notebooks_msil_xgb_script.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"IPython.notebook.set_autosave_interval(60000)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Autosaving every 60 seconds\n"
]
}
],
"source": [
"%autosave 60"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"BUCKET_NAME = \"msil_raw\"\n",
"FOLDER_NAME = \"training_data\"\n",
"TRAINFILE = \"trainset.csv\"\n",
"VALIDFILE = \"validset.csv\"\n",
"TESTFILE = \"testset.csv\""
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"import google.datalab.storage as storage\n",
"import pandas as pd\n",
"from io import BytesIO\n",
"\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import xgboost as xgb\n",
"from sklearn.model_selection import GridSearchCV\n",
"import time\n",
"from datetime import datetime\n",
"from scipy import integrate"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"# setting up the parameters\n",
"plt.rcParams[\"figure.figsize\"] = (10, 10)\n",
"pd.set_option(\"display.max_rows\", 200)\n",
"pd.set_option(\"display.max_columns\", 200)\n",
"pd.set_option(\"precision\", 15)\n",
"sns.set_style(\"darkgrid\")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>IMEI</th>\n",
" <th>Year</th>\n",
" <th>Month</th>\n",
" <th>Day</th>\n",
" <th>Hour</th>\n",
" <th>Minute</th>\n",
" <th>Seconds</th>\n",
" <th>tp</th>\n",
" <th>sp</th>\n",
" <th>EVVSP</th>\n",
" <th>EVVSP_delta</th>\n",
" <th>EVVSP_change</th>\n",
" <th>EVGPO</th>\n",
" <th>EVOAS</th>\n",
" <th>EVIGM_Latest</th>\n",
" <th>EVCOM_Latest</th>\n",
" <th>EVACO_Z</th>\n",
" <th>EVIRT_Min</th>\n",
" <th>EVDI2</th>\n",
" <th>EVBMI_Latest</th>\n",
" <th>EVBMA_Latest</th>\n",
" <th>EVVAC</th>\n",
" <th>EVVAC_delta</th>\n",
" <th>EVVAC_change</th>\n",
" <th>EVODO</th>\n",
" <th>EVODOH</th>\n",
" <th>EVSMA_EWMA</th>\n",
" <th>EVSMA_delta</th>\n",
" <th>EVSMA_in</th>\n",
" <th>combine</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>7</td>\n",
" <td>2018</td>\n",
" <td>11</td>\n",
" <td>15</td>\n",
" <td>10</td>\n",
" <td>58</td>\n",
" <td>49</td>\n",
" <td>1</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0</td>\n",
" <td>26.0</td>\n",
" <td>-51</td>\n",
" <td>-51</td>\n",
" <td>-1008.0</td>\n",
" <td>-41</td>\n",
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" <td>93.200000000000003</td>\n",
" <td>0.0</td>\n",
" <td>93.200000000000003</td>\n",
" <td>1606</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>7</td>\n",
" <td>2018</td>\n",
" <td>11</td>\n",
" <td>15</td>\n",
" <td>10</td>\n",
" <td>58</td>\n",
" <td>50</td>\n",
" <td>1</td>\n",
" <td>1000.0</td>\n",
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" <td>0.0</td>\n",
" <td>0</td>\n",
" <td>26.0</td>\n",
" <td>-51</td>\n",
" <td>-51</td>\n",
" <td>-1004.0</td>\n",
" <td>-41</td>\n",
" <td>20</td>\n",
" <td>21.5</td>\n",
" <td>21.5</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>690</td>\n",
" <td>0.0</td>\n",
" <td>93.200000000000003</td>\n",
" <td>0.0</td>\n",
" <td>93.200000000000003</td>\n",
" <td>1606</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>7</td>\n",
" <td>2018</td>\n",
" <td>11</td>\n",
" <td>15</td>\n",
" <td>10</td>\n",
" <td>58</td>\n",
" <td>51</td>\n",
" <td>1</td>\n",
" <td>2000.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0</td>\n",
" <td>26.0</td>\n",
" <td>-51</td>\n",
" <td>-51</td>\n",
" <td>-1016.0</td>\n",
" <td>-41</td>\n",
" <td>20</td>\n",
" <td>21.5</td>\n",
" <td>21.5</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>690</td>\n",
" <td>0.0</td>\n",
" <td>93.200000000000003</td>\n",
" <td>0.0</td>\n",
" <td>93.200000000000003</td>\n",
" <td>1606</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>7</td>\n",
" <td>2018</td>\n",
" <td>11</td>\n",
" <td>15</td>\n",
" <td>10</td>\n",
" <td>58</td>\n",
" <td>52</td>\n",
" <td>1</td>\n",
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" <td>93.200000000000003</td>\n",
" <td>1606</td>\n",
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" <tr>\n",
" <th>4</th>\n",
" <td>7</td>\n",
" <td>2018</td>\n",
" <td>11</td>\n",
" <td>15</td>\n",
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" <td>20</td>\n",
" <td>21.5</td>\n",
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" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>690</td>\n",
" <td>0.0</td>\n",
" <td>93.200000000000003</td>\n",
" <td>0.0</td>\n",
" <td>93.200000000000003</td>\n",
" <td>1606</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" IMEI Year Month Day Hour Minute Seconds tp sp EVVSP \\\n",
"0 7 2018 11 15 10 58 49 1 0.0 0.0 \n",
"1 7 2018 11 15 10 58 50 1 1000.0 0.0 \n",
"2 7 2018 11 15 10 58 51 1 2000.0 0.0 \n",
"3 7 2018 11 15 10 58 52 1 3000.0 0.0 \n",
"4 7 2018 11 15 10 58 53 1 4000.0 0.0 \n",
"\n",
" EVVSP_delta EVVSP_change EVGPO EVOAS EVIGM_Latest EVCOM_Latest \\\n",
"0 0.0 0.0 0 26.0 -51 -51 \n",
"1 0.0 0.0 0 26.0 -51 -51 \n",
"2 0.0 0.0 0 26.0 -51 -51 \n",
"3 0.0 0.0 0 26.0 -51 -51 \n",
"4 0.0 0.0 0 26.0 -51 -51 \n",
"\n",
" EVACO_Z EVIRT_Min EVDI2 EVBMI_Latest EVBMA_Latest EVVAC EVVAC_delta \\\n",
"0 -1008.0 -41 20 21.5 21.5 0.0 0.0 \n",
"1 -1004.0 -41 20 21.5 21.5 0.0 0.0 \n",
"2 -1016.0 -41 20 21.5 21.5 0.0 0.0 \n",
"3 -1002.0 -41 20 21.5 21.5 0.0 0.0 \n",
"4 -1012.0 -41 20 21.5 21.5 0.0 0.0 \n",
"\n",
" EVVAC_change EVODO EVODOH EVSMA_EWMA EVSMA_delta \\\n",
"0 0.0 690 0.0 93.200000000000003 0.0 \n",
"1 0.0 690 0.0 93.200000000000003 0.0 \n",
"2 0.0 690 0.0 93.200000000000003 0.0 \n",
"3 0.0 690 0.0 93.200000000000003 0.0 \n",
"4 0.0 690 0.0 93.200000000000003 0.0 \n",
"\n",
" EVSMA_in combine \n",
"0 93.200000000000003 1606 \n",
"1 93.200000000000003 1606 \n",
"2 93.200000000000003 1606 \n",
"3 93.200000000000003 1606 \n",
"4 93.200000000000003 1606 "
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mybucket = storage.Bucket(BUCKET_NAME)\n",
"data_csv = mybucket.object(FOLDER_NAME + \"/\" + TESTFILE)\n",
"\n",
"uri = data_csv.uri\n",
"%gcs read --object $uri --variable data\n",
"\n",
"testset = pd.read_csv(BytesIO(data))\n",
"testset.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import data_proces"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
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},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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