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OpenCV 2.4.3.1
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## 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 |

Overview | Package | Class | Tree | Index | Help

Official OpenCV 2.4 Documentation
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