ml: Machine Learning

Files
file	mexopencv_ml.hpp
	Common definitions for the ml module.
file	createConcentricSpheresTestSet.cpp
	mex interface for cv::ml::createConcentricSpheresTestSet
file	ANN_MLP_.cpp
	mex interface for cv::ml::ANN_MLP
file	Boost_.cpp
	mex interface for cv::ml::Boost
file	DTrees_.cpp
	mex interface for cv::ml::DTrees
file	EM_.cpp
	mex interface for cv::ml::EM
file	KNearest_.cpp
	mex interface for cv::ml::KNearest
file	LogisticRegression_.cpp
	mex interface for cv::ml::LogisticRegression
file	NormalBayesClassifier_.cpp
	mex interface for cv::ml::NormalBayesClassifier
file	RTrees_.cpp
	mex interface for cv::ml::RTrees
file	SVM_.cpp
	mex interface for cv::ml::SVM
file	SVMSGD_.cpp
	mex interface for cv::ml::SVMSGD
file	randMVNormal.cpp
	mex interface for cv::ml::randMVNormal
file	mexopencv_ml.cpp
	Implementation of mexopencv_ml.

Enumerations
enum	ErrorTypes
enum	SampleTypes
enum	VariableTypes

Functions
void	createConcentricSpheresTestSet (int nsamples, int nfeatures, int nclasses, OutputArray samples, OutputArray responses)
void	randMVNormal (InputArray mean, InputArray cov, int nsamples, OutputArray samples)
int	simulatedAnnealingSolver (SimulatedAnnealingSolverSystem &solverSystem, double initialTemperature, double finalTemperature, double coolingRatio, size_t iterationsPerStep, double *lastTemperature=NULL, cv::RNG &rngEnergy=cv::theRNG())

Variables
	TEST_ERROR
	TRAIN_ERROR
	ROW_SAMPLE
	COL_SAMPLE
	VAR_NUMERICAL
	VAR_ORDERED
	VAR_CATEGORICAL

Detailed Description