ml/ml.hpp File Reference

#include "opencv2/core/core.hpp"
#include <limits.h>
#include <map>
#include <string>
#include <iostream>

Classes
struct	CvVectors
class	CvStatModel
struct	CvParamGrid
class	CvNormalBayesClassifier
class	CvKNearest
struct	CvSVMParams
struct	CvSVMKernel
struct	CvSVMKernelRow
struct	CvSVMSolutionInfo
class	CvSVMSolver
struct	CvSVMDecisionFunc
class	CvSVM
class	cv::EM
struct	CvPair16u32s
struct	CvDTreeSplit
struct	CvDTreeNode
struct	CvDTreeParams
struct	CvDTreeTrainData
class	CvDTree
class	CvForestTree
struct	CvRTParams
class	CvRTrees
struct	CvERTreeTrainData
class	CvForestERTree
class	CvERTrees
struct	CvBoostParams
class	CvBoostTree
class	CvBoost
struct	CvGBTreesParams
class	CvGBTrees
struct	CvANN_MLP_TrainParams
class	CvANN_MLP
struct	CvTrainTestSplit
class	CvMLData

Namespaces
	cv

Macros
#define	CV_LOG2PI   (1.8378770664093454835606594728112)
#define	CV_COL_SAMPLE   0
#define	CV_ROW_SAMPLE   1
#define	CV_IS_ROW_SAMPLE(flags)   ((flags) & CV_ROW_SAMPLE)
#define	CV_VAR_NUMERICAL   0
#define	CV_VAR_ORDERED   0
#define	CV_VAR_CATEGORICAL   1
#define	CV_TYPE_NAME_ML_SVM   "opencv-ml-svm"
#define	CV_TYPE_NAME_ML_KNN   "opencv-ml-knn"
#define	CV_TYPE_NAME_ML_NBAYES   "opencv-ml-bayesian"
#define	CV_TYPE_NAME_ML_EM   "opencv-ml-em"
#define	CV_TYPE_NAME_ML_BOOSTING   "opencv-ml-boost-tree"
#define	CV_TYPE_NAME_ML_TREE   "opencv-ml-tree"
#define	CV_TYPE_NAME_ML_ANN_MLP   "opencv-ml-ann-mlp"
#define	CV_TYPE_NAME_ML_CNN   "opencv-ml-cnn"
#define	CV_TYPE_NAME_ML_RTREES   "opencv-ml-random-trees"
#define	CV_TYPE_NAME_ML_ERTREES   "opencv-ml-extremely-randomized-trees"
#define	CV_TYPE_NAME_ML_GBT   "opencv-ml-gradient-boosting-trees"
#define	CV_TRAIN_ERROR   0
#define	CV_TEST_ERROR   1
#define	CV_DTREE_CAT_DIR(idx, subset)   (2*((subset[(idx)>>5]&(1 << ((idx) & 31)))==0)-1)
#define	CV_TS_CONCENTRIC_SPHERES   0
#define	CV_COUNT   0
#define	CV_PORTION   1

Typedefs
typedef CvStatModel	cv::StatModel
typedef CvParamGrid	cv::ParamGrid
typedef CvNormalBayesClassifier	cv::NormalBayesClassifier
typedef CvKNearest	cv::KNearest
typedef CvSVMParams	cv::SVMParams
typedef CvSVMKernel	cv::SVMKernel
typedef CvSVMSolver	cv::SVMSolver
typedef CvSVM	cv::SVM
typedef CvDTreeParams	cv::DTreeParams
typedef CvMLData	cv::TrainData
typedef CvDTree	cv::DecisionTree
typedef CvForestTree	cv::ForestTree
typedef CvRTParams	cv::RandomTreeParams
typedef CvRTrees	cv::RandomTrees
typedef CvERTreeTrainData	cv::ERTreeTRainData
typedef CvForestERTree	cv::ERTree
typedef CvERTrees	cv::ERTrees
typedef CvBoostParams	cv::BoostParams
typedef CvBoostTree	cv::BoostTree
typedef CvBoost	cv::Boost
typedef CvANN_MLP_TrainParams	cv::ANN_MLP_TrainParams
typedef CvANN_MLP	cv::NeuralNet_MLP
typedef CvGBTreesParams	cv::GradientBoostingTreeParams
typedef CvGBTrees	cv::GradientBoostingTrees

Functions
void	cvRandMVNormal (CvMat *mean, CvMat *cov, CvMat *sample, CvRNG *rng CV_DEFAULT(0))
void	cvRandGaussMixture (CvMat *means[], CvMat *covs[], float weights[], int clsnum, CvMat *sample, CvMat *sampClasses CV_DEFAULT(0))
void	cvCreateTestSet (int type, CvMat **samples, int num_samples, int num_features, CvMat **responses, int num_classes,...)
bool	cv::initModule_ml (void)

Macro Definition Documentation

#define CV_COL_SAMPLE   0

#define CV_COUNT   0

#define CV_DTREE_CAT_DIR	(		idx,
			subset
	)		(2*((subset[(idx)>>5]&(1 << ((idx) & 31)))==0)-1)

#define CV_IS_ROW_SAMPLE

(

flags

)

((flags) & CV_ROW_SAMPLE)

#define CV_LOG2PI   (1.8378770664093454835606594728112)

#define CV_PORTION   1

#define CV_ROW_SAMPLE   1

#define CV_TEST_ERROR   1

#define CV_TRAIN_ERROR   0

#define CV_TS_CONCENTRIC_SPHERES   0

#define CV_TYPE_NAME_ML_ANN_MLP   "opencv-ml-ann-mlp"

#define CV_TYPE_NAME_ML_BOOSTING   "opencv-ml-boost-tree"

#define CV_TYPE_NAME_ML_CNN   "opencv-ml-cnn"

#define CV_TYPE_NAME_ML_EM   "opencv-ml-em"

#define CV_TYPE_NAME_ML_ERTREES   "opencv-ml-extremely-randomized-trees"

#define CV_TYPE_NAME_ML_GBT   "opencv-ml-gradient-boosting-trees"

#define CV_TYPE_NAME_ML_KNN   "opencv-ml-knn"

#define CV_TYPE_NAME_ML_NBAYES   "opencv-ml-bayesian"

#define CV_TYPE_NAME_ML_RTREES   "opencv-ml-random-trees"

#define CV_TYPE_NAME_ML_SVM   "opencv-ml-svm"

#define CV_TYPE_NAME_ML_TREE   "opencv-ml-tree"

#define CV_VAR_CATEGORICAL   1

#define CV_VAR_NUMERICAL   0

#define CV_VAR_ORDERED   0

Function Documentation

void cvCreateTestSet	(	int	type,
		CvMat **	samples,
		int	num_samples,
		int	num_features,
		CvMat **	responses,
		int	num_classes,
			...
	)

void cvRandGaussMixture	(	CvMat *	means[],
		CvMat *	covs[],
		float	weights[],
		int	clsnum,
		CvMat *	sample,
		CvMat *sampClasses	CV_DEFAULT0
	)

void cvRandMVNormal	(	CvMat *	mean,
		CvMat *	cov,
		CvMat *	sample,
		CvRNG *rng	CV_DEFAULT0
	)