[フレーム]

Classes | Namespaces | Macros | Typedefs | Functions

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

)