Module opencv::ml::prelude

Traits

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