Adding the example for the sensor based data collection and running on a riscv device

cpp/decision_tree/loan_default_prediction/Makefile

@@ -9,10 +9,10 @@ SRC := loan-default-prediction.cpp
 LIBS_NAME := armadillo
 
 CXX := g++
-CXXFLAGS += -std=c++17 -Wall -Wextra -O3 -DNDEBUG -fopenmp
+CXXFLAGS += -std=c++17 -Wall -Wextra -DMLPACK_ENABLE_HTTPLIB -O3 -DNDEBUG -fopenmp
 # Use these CXXFLAGS instead if you want to compile with debugging symbols and
 # without optimizations.
-# CXXFLAGS += -std=c++17 -Wall -Wextra -g -O0
+# CXXFLAGS += -std=c++17 -Wall -Wextra -DMLPACK_ENABLE_HTTPLIB -g -O0
 
 LDFLAGS  += -fopenmp
 # Add header directories for any includes that aren't on the

cpp/decision_tree/loan_default_prediction/loan-default-prediction.cpp

@@ -134,7 +134,7 @@ void ClassificationReport(const arma::Row<size_t>& yPreds, const arma::Row<size_
 int main() 
 {
   arma::mat loanData;
-  data::Load("../../../data/LoanDefault.csv", loanData);
+  data::Load("http://datasets.mlpack.org/LoanDefault.csv", loanData);
 
   // Split the data into features (X) and target (y) variables, targets are the last row.
   arma::Row<size_t> targets = arma::conv_to<arma::Row<size_t>>::from(loanData.row(loanData.n_rows - 1));

cpp/kmeans/dominant-colors/dominant-colors.cpp

@@ -199,8 +199,8 @@ void dominantColors(std::string PathToImage, std::string PathToColorBars)
 {
   // Load the example image.
   arma::Mat<unsigned char> imageMatrix;
-  data::ImageInfo info;
-  data::Load(PathToImage, imageMatrix, info, false);
+  data::ImageOptions info;
+  data::Load(PathToImage, imageMatrix, info);
   // Print the image shape.
   std::cout << "Image info -"
             << " Width:" << info.Width()

cpp/kmeans/pima_indians_diabetes_clustering/Makefile

@@ -9,10 +9,10 @@ SRC := pima-indians-diabetes.cpp
 LIBS_NAME := armadillo # python3.11 #uncomment python for the Scatter function
 
 CXX := g++
-CXXFLAGS += -std=c++17 -Wall -Wextra -O3 -DNDEBUG -fopenmp
+CXXFLAGS += -std=c++17 -Wall -Wextra -DMLPACK_ENABLE_HTTPLIB -O3 -DNDEBUG -fopenmp
 # Use these CXXFLAGS instead if you want to compile with debugging symbols and
 # without optimizations.
-# CXXFLAGS += -std=c++17 -Wall -Wextra -g -O0
+# CXXFLAGS += -std=c++17 -Wall -Wextra -DMLPACK_ENABLE_HTTPLIB -g -O0
 
 LDFLAGS  += -fopenmp
 # Add header directories for any includes that aren't on the

cpp/kmeans/pima_indians_diabetes_clustering/pima-indians-diabetes.cpp

@@ -22,7 +22,7 @@ int main(int argc, char* argv[])
   // Digestive and Kidney Diseases and can be used to predict whether a,
   // patient has diabetes based on certain diagnostic factors.,
   arma::mat input;
-  data::Load("../../../data/pima-indians-diabetes.csv", input);
+  data::Load("http://datasets.mlpack.org/pima-indians-diabetes.csv", input);
   // Print the first 10 rows of the input data.,
   std::cout << std::setw(18) << "Pregnancies "
             << std::setw(10) << "Glucose "

cpp/lstm/dga_detection/lstm_dga_detection_predict.cpp

@@ -118,8 +118,8 @@ int main(int argc, char** argv)
   // First load the model.
   RNN<NegativeLogLikelihoodType<arma::fmat>, RandomInitialization, arma::fmat>
       benignModel, maliciousModel;
-  data::Load(argv[1], "lstm_model", benignModel, true /* fatal on failure */);
-  data::Load(argv[2], "lstm_model", maliciousModel, true);
+  data::Load(argv[1], benignModel, data::BIN + data::Fatal);
+  data::Load(argv[2], maliciousModel, data::BIN + data::Fatal);
 
   // Now enter a loop where we read domains from stdin and then make
   // predictions.

cpp/lstm/dga_detection/lstm_dga_detection_train.cpp

@@ -332,12 +332,8 @@ int main(int argc, char** argv)
       << " correct (" << testAccuracy << "%)." << endl;
 
   // Save the trained model.
-  data::Save("lstm_dga_detector_benign.bin",
-             "lstm_model",
-             benignModel,
-             true /* fatal on failure */);
-  data::Save("lstm_dga_detector_malicious.bin",
-             "lstm_model",
-             maliciousModel,
-             true /* fatal on failure */);
+  data::Save("lstm_dga_detector_benign.bin", benignModel,
+      data::BIN + data::Fatal);
+  data::Save("lstm_dga_detector_malicious.bin", maliciousModel,
+      data::BIN + data::Fatal);
 }

cpp/lstm/electricity_consumption/Makefile

@@ -9,10 +9,10 @@ SRC := lstm_electricity_consumption.cpp
 LIBS_NAME := armadillo
 
 CXX := g++
-CXXFLAGS += -std=c++17 -Wall -Wextra -O3 -DNDEBUG -fopenmp
+CXXFLAGS += -std=c++17 -Wall -Wextra -DMLPACK_ENABLE_HTTPLIB -O3 -DNDEBUG -fopenmp
 # Use these CXXFLAGS instead if you want to compile with debugging symbols
 # and without optimizations.
-# CXXFLAGS += -std=c++17 -Wall -Wextra -g -O0
+# CXXFLAGS += -std=c++17 -Wall -Wextra -DMLPACK_ENABLE_HTTPLIB -g -O0
 LDFLAGS  += -fopenmp
 # Add header directories for any includes that aren't on the default compiler
 # search path.