OpenCvSharp.ML Namespace

	Class	Description
	ANN_MLP	Artificial Neural Networks - Multi-Layer Perceptrons.
	Boost	Boosted tree classifier derived from DTrees
	DTrees	Decision tree
	KNearest	K nearest neighbors classifier
	LogisticRegression	Implements Logistic Regression classifier.
	NormalBayesClassifier	Bayes classifier for normally distributed data
	RTrees	The class implements the random forest predictor.
	StatModel	Base class for statistical models in ML
	SVM	Support Vector Machines
	SVMKernel
	TrainData

	Structure	Description
	DTreesNode	The class represents a decision tree node.
	DTreesSplit	The class represents split in a decision tree.
	ParamGrid	The structure represents the logarithmic grid range of statmodel parameters.

	Enumeration	Description
	ANN_MLPActivationFunctions	possible activation functions
	ANN_MLPTrainFlags	Train options
	ANN_MLPTrainingMethods	Available training methods
	BoostTypes	Boosting type. Gentle AdaBoost and Real AdaBoost are often the preferable choices.
	KNearestTypes	Implementations of KNearest algorithm
	LogisticRegressionMethods	Training methods
	LogisticRegressionRegKinds	Regularization kinds
	SampleTypes	Sample types
	StatModelFlags	Predict options
	SVMKernelTypes	SVM kernel type
	SVMParamTypes	SVM params type
	SVMTypes	SVM type