cpp-ml-library/ml_8hpp_source.html

 // ml.h - Master header file

 #ifndef ML_H

 #define ML_H


 #include "./tree/DecisionTreeClassifier.hpp"

 #include "./tree/DecisionTreeRegressor.hpp"

 #include "./tree/RandomForestClassifier.hpp"

 #include "./tree/RandomForestRegressor.hpp"

 #include "./regression/PolynomialRegression.hpp"

 #include "./regression/MultiLinearRegression.hpp"

 #include "./neural_network/ANN.hpp"

 #include "./neural_network/CNN.hpp"

 #include "./clustering/KMeans.hpp"

 #include "./association/Apriori.hpp"

 #include "./association/Eclat.hpp"


 #endif // ML_H

Apriori.hpp
Implementation of the Apriori algorithm for frequent itemset mining.

DecisionTreeClassifier.hpp
A simple implementation of Decision Tree Classification.

DecisionTreeRegressor.hpp
A simple implementation of Decision Tree Regression.

Eclat.hpp
Optimized Implementation of the Eclat algorithm for frequent itemset mining.

KMeans.hpp
An implementation of the K-Means clustering algorithm with K-Means++ initialization.

MultiLinearRegression.hpp
A simple implementation of Multilinear Regression with improvements.

PolynomialRegression.hpp
Improved implementation of Polynomial Regression.

RandomForestClassifier.hpp
A simple implementation of Random Forest Classification.

RandomForestRegressor.hpp
A simple implementation of Random Forest Regression.