Added Utility Function

Added Utility Function

Style Fix

Fix Typo causing build error in windows

Fix Typo causing build error in windows

Fix const issue for windows

Extract in data folder

Reposition force local

This should work

Print Path in windows for debugging

Print Path in windows for debugging

Print Path in windows for debugging

Stip components of tar

Stip components of tar

strip componenets

Relative Path

Relative Path

Relative Path

Add List Dir utility function

Print

Print again

Print again

Squash this

Update utils.hpp

Squash this

Clean Up

Added more tests

.ci/linux-steps.yaml

@@ -10,6 +10,8 @@ steps:
     git clone --depth 1 https://github.com/mlpack/jenkins-conf.git conf
     git clone --depth 1 https://github.com/mlpack/mlpack.git
 
+    mkdir data
+
     sudo add-apt-repository ppa:mhier/libboost-latest
     sudo apt-get update
 

.ci/macos-steps.yaml

@@ -29,7 +29,7 @@ steps:
 
 # Configure CMake Args for models.
 - script: |
-    mkdir build && cd build && cmake $(CMakeArgs-models) ..
+    mkdir data && mkdir build && cd build && cmake $(CMakeArgs-models) ..
   displayName: 'CMake for models'
 
 # Build mlpack

.ci/windows-steps.yaml

@@ -101,6 +101,7 @@ steps:
 
 - powershell: |
     mkdir build
+    mkdir data
     cp $(Agent.ToolsDirectory)\boost_libs\*.* build\
     cp $(Agent.ToolsDirectory)\OpenBLAS.0.2.14.1\lib\native\lib\x64\*.* build\
     cp $(Agent.ToolsDirectory)\OpenBLAS.0.2.14.1\lib\native\bin\x64\*.* build\

CMakeLists.txt

@@ -216,8 +216,6 @@ set(DIRS
   utils/
   dataloader/
   tests/
-  models/
-  computer_vision/
 )
 
 foreach(dir ${DIRS})

dataloader/dataloader_impl.hpp

@@ -56,7 +56,7 @@ template<
               datasetMap[dataset].endTrainingPredictionFeatures,
               datasetMap[dataset].endTrainingPredictionFeatures);
 
-      LoadCSV(datasetMap[dataset].testPath, false, false, useScaler,
+      LoadCSV(datasetMap[dataset].testPath, false, false, ratio, useScaler,
               datasetMap[dataset].dropHeader,
               datasetMap[dataset].startTestingInputFeatures,
               datasetMap[dataset].endTestingInputFeatures);
@@ -138,8 +138,9 @@ template<
       scaler.Transform(dataset, dataset);
     }
 
-    testFeatures = dataset.submat(WrapIndex(startInputFeatures, dataset.n_rows),
-        0, WrapIndex(endInputFeatures, dataset.n_rows), dataset.n_cols - 1);
+    testFeatures = dataset.rows(WrapIndex(startInputFeatures,dataset.n_rows),
+        WrapIndex(endInputFeatures, dataset.n_rows));
+
     mlpack::Log::Info << "Testing Dataset Loaded." << std::endl;
   }
 }

dataloader/datasets.hpp

@@ -203,7 +203,6 @@ struct DatasetDetails
   {
     // Nothing to do here.
   }
-
 };
 
 /**
@@ -219,7 +218,6 @@ template<
 class Datasets
 {
  public:
-
   //! Get details of MNIST Dataset.
   const static DatasetDetails<DatasetX, DatasetY> MNIST()
   {
@@ -228,10 +226,10 @@ class Datasets
         true,
         "/datasets/mnist.tar.gz",
         "./../data/mnist.tar.gz",
-        "9fa4efe5",
+        "33470ca3",
         true,
-        "./../data/mnist_train.csv",
-        "./../data/mnist_test.csv");
+        "./../data/mnist-dataset/mnist_train.csv",
+        "./../data/mnist-dataset/mnist_test.csv");
 
     // Set the Pre-Processor Function.
     mnistDetails.PreProcess = PreProcessor<DatasetX, DatasetY>::MNIST;