OpenCV 2.4.2

Package org.opencv.ml

Class Summary
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  
 


Official OpenCV 2.4 Documentation