Package org.opencv.ml

Class Summary

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