Go to the source code of this file.
Classes |
| class | CvANN_MLP |
| struct | CvANN_MLP_TrainParams |
| class | CvBoost |
| struct | CvBoostParams |
| class | CvBoostTree |
| class | CvDTree |
| struct | CvDTreeNode |
| struct | CvDTreeParams |
| struct | CvDTreeSplit |
| struct | CvDTreeTrainData |
| class | CvEM |
| struct | CvEMParams |
| class | CvERTrees |
| struct | CvERTreeTrainData |
| class | CvForestERTree |
| class | CvForestTree |
| class | CvGBTrees |
| struct | CvGBTreesParams |
| class | CvKNearest |
| class | CvMLData |
| class | CvNormalBayesClassifier |
| struct | CvPair16u32s |
| struct | CvParamGrid |
| struct | CvRTParams |
| class | CvRTrees |
| class | CvStatModel |
| class | CvSVM |
| struct | CvSVMDecisionFunc |
| struct | CvSVMKernel |
| struct | CvSVMKernelRow |
| struct | CvSVMParams |
| struct | CvSVMSolutionInfo |
| class | CvSVMSolver |
| struct | CvTrainTestSplit |
| struct | CvVectors |
Namespaces |
| namespace | cv |
Defines |
| #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_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 |
Typedefs |
| typedef CvANN_MLP_TrainParams | cv::ANN_MLP_TrainParams |
| typedef CvBoost | cv::Boost |
| typedef CvBoostParams | cv::BoostParams |
| typedef CvBoostTree | cv::BoostTree |
| typedef CvDTree | cv::DecisionTree |
| typedef CvDTreeParams | cv::DTreeParams |
| typedef CvEMParams | cv::EMParams |
| typedef CvForestERTree | cv::ERTree |
| typedef CvERTrees | cv::ERTrees |
| typedef CvERTreeTrainData | cv::ERTreeTRainData |
| typedef CvEM | cv::ExpectationMaximization |
| typedef CvForestTree | cv::ForestTree |
| typedef CvGBTreesParams | cv::GradientBoostingTreeParams |
| typedef CvGBTrees | cv::GradientBoostingTrees |
| typedef CvKNearest | cv::KNearest |
| typedef CvANN_MLP | cv::NeuralNet_MLP |
| typedef CvNormalBayesClassifier | cv::NormalBayesClassifier |
| typedef CvParamGrid | cv::ParamGrid |
| typedef CvRTParams | cv::RandomTreeParams |
| typedef CvRTrees | cv::RandomTrees |
| typedef CvStatModel | cv::StatModel |
| typedef CvSVM | cv::SVM |
| typedef CvSVMKernel | cv::SVMKernel |
| typedef CvSVMParams | cv::SVMParams |
| typedef CvSVMSolver | cv::SVMSolver |
| typedef CvMLData | cv::TrainData |
Functions |
| 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_DEFAULT(0)) |
| void | cvRandMVNormal (CvMat *mean, CvMat *cov, CvMat *sample, CvRNG *rng CV_DEFAULT(0)) |
Define Documentation
| #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_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_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 |
Function Documentation
| void cvCreateTestSet |
( |
int |
type, |
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CvMat ** |
samples, |
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int |
num_samples, |
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int |
num_features, |
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CvMat ** |
responses, |
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int |
num_classes, |
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... |
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) |
| |
| void cvRandGaussMixture |
( |
CvMat * |
means[], |
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CvMat * |
covs[], |
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float |
weights[], |
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int |
clsnum, |
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CvMat * |
sample, |
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CvMat *sampClasses |
CV_DEFAULT0 |
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) |
| |