Package org.opencv.ml

Class Summary

Class	Description
CvANN_MLP	MLP model.
CvANN_MLP_TrainParams	Parameters of the MLP training algorithm.
CvBoost	Boosted tree classifier derived from "CvStatModel".
CvBoostParams	Boosting training parameters.
CvDTree	The class implements a decision tree as described in the beginning of this section.
CvDTreeParams	The structure contains all the decision tree training parameters.
CvERTrees	The class implements the Extremely randomized trees algorithm.
CvGBTrees	The class implements the Gradient boosted tree model as described in the beginning of this section.
CvGBTreesParams	GBT training parameters.
CvKNearest	The class implements K-Nearest Neighbors model as described in the beginning of this section.
CvNormalBayesClassifier	Bayes classifier for normally distributed data.
CvParamGrid	The structure represents the logarithmic grid range of statmodel parameters.
CvRTParams	Training parameters of random trees.
CvRTrees	The class implements the random forest predictor as described in the beginning of this section.
CvStatModel	Base class for statistical models in ML.
CvSVM	Support Vector Machines.
CvSVMParams	SVM training parameters.
EM	The class implements the EM algorithm as described in the beginning of this section.
Ml