File List

Here is a list of all documented files with brief descriptions:

[detail level 1234]

▼ ml_library_include
▼ ml
▼ association
Apriori.hpp	Implementation of the Apriori algorithm for frequent itemset mining
Eclat.hpp	Optimized Implementation of the Eclat algorithm for frequent itemset mining
▼ clustering
HierarchicalClustering.hpp	Implementation of Agglomerative Hierarchical Clustering
KMeans.hpp	An implementation of the K-Means clustering algorithm with K-Means++ initialization
KNNClassifier.hpp	Implementation of the K-Nearest Neighbors Classifier
KNNRegressor.hpp	Implementation of the K-Nearest Neighbors Regressor
▼ neural_network
ANN.hpp
CNN.hpp
NeuralNetwork.hpp	A simple neural network implementation in C++
▼ regression
LogisticRegression.hpp	A simple implementation of Logistic Regression with improvements
MultiLinearRegression.hpp	A simple implementation of Multilinear Regression with improvements
PolynomialRegression.hpp	Improved implementation of Polynomial Regression
SupportVectorRegression.hpp	Implementation of Support Vector Regression (SVR) using SMO algorithm
▼ tree
DecisionTreeClassifier.hpp	A simple implementation of Decision Tree Classification
DecisionTreeRegressor.hpp	A simple implementation of Decision Tree Regression
RandomForestClassifier.hpp	A simple implementation of Random Forest Classification
RandomForestRegressor.hpp	A simple implementation of Random Forest Regression
ml.hpp	A header to connect all the Algoritm header paths
▼ tests
TestUtils.hpp