Package org.bytedeco.opencv.opencv_ml

Class Summary

Class	Description
AbstractStatModel
ANN_MLP	\brief Artificial Neural Networks - Multi-Layer Perceptrons.
Boost	\brief Boosted tree classifier derived from DTrees
DTrees	\brief The class represents a single decision tree or a collection of decision trees.
DTrees.Node	\brief The class represents a decision tree node.
DTrees.Split	\brief The class represents split in a decision tree.
EM	\brief The class implements the Expectation Maximization algorithm.
KNearest	\brief The class implements K-Nearest Neighbors model
LogisticRegression	\brief Implements Logistic Regression classifier.
NormalBayesClassifier	\brief Bayes classifier for normally distributed data.
ParamGrid	\brief The structure represents the logarithmic grid range of statmodel parameters.
RTrees	\brief The class implements the random forest predictor.
StatModel	\brief Base class for statistical models in OpenCV ML.
SVM	\brief Support Vector Machines.
SVM.Kernel
SVMSGD	\brief Stochastic Gradient Descent SVM classifier
TrainData	\brief Class encapsulating training data.