StatModel         370 modules/ml/include/opencv2/ml.hpp class CV_EXPORTS_W NormalBayesClassifier : public StatModel
StatModel         397 modules/ml/include/opencv2/ml.hpp class CV_EXPORTS_W KNearest : public StatModel
StatModel         479 modules/ml/include/opencv2/ml.hpp class CV_EXPORTS_W SVM : public StatModel
StatModel         722 modules/ml/include/opencv2/ml.hpp class CV_EXPORTS_W EM : public StatModel
StatModel         919 modules/ml/include/opencv2/ml.hpp class CV_EXPORTS_W DTrees : public StatModel
StatModel        1244 modules/ml/include/opencv2/ml.hpp class CV_EXPORTS_W ANN_MLP : public StatModel
StatModel        1392 modules/ml/include/opencv2/ml.hpp class CV_EXPORTS_W LogisticRegression : public StatModel
StatModel          53 modules/ml/src/inner_functions.cpp bool StatModel::empty() const { return !isTrained(); }
StatModel          55 modules/ml/src/inner_functions.cpp int StatModel::getVarCount() const { return 0; }
StatModel          57 modules/ml/src/inner_functions.cpp bool StatModel::train( const Ptr<TrainData>&, int )
StatModel          63 modules/ml/src/inner_functions.cpp bool StatModel::train( InputArray samples, int layout, InputArray responses )
StatModel          68 modules/ml/src/inner_functions.cpp float StatModel::calcError( const Ptr<TrainData>& data, bool testerr, OutputArray _resp ) const
StatModel         131 modules/ml/test/test_mltests2.cpp float ann_calc_error( Ptr<StatModel> ann, Ptr<TrainData> _data, map<int, int>& cls_map, int type, vector<float> *resp_labels )
StatModel          31 modules/ml/test/test_precomp.hpp using cv::ml::StatModel;
StatModel          65 modules/ml/test/test_precomp.hpp     Ptr<StatModel> model;
StatModel         191 modules/ml/test/test_save_load.cpp         Ptr<StatModel> model;
StatModel         217 modules/ml/test/test_save_load.cpp             model->predict(input, output, StatModel::RAW_OUTPUT | (isTree ? DTrees::PREDICT_SUM : 0));
StatModel          88 samples/cpp/letter_recog.cpp     Ptr<T> model = StatModel::load<T>( filename_to_load );
StatModel         118 samples/cpp/letter_recog.cpp static void test_and_save_classifier(const Ptr<StatModel>& model,
StatModel         314 samples/cpp/letter_recog.cpp             float s = model->predict( temp_sample, noArray(), StatModel::RAW_OUTPUT );
StatModel         167 samples/cpp/logistic_regression.cpp     Ptr<LogisticRegression> lr2 = StatModel::load<LogisticRegression>(saveFilename);
StatModel          85 samples/cpp/points_classifier.cpp static void predict_and_paint(const Ptr<StatModel>& model, Mat& dst)
StatModel         105 samples/cpp/points_classifier.cpp     Ptr<NormalBayesClassifier> normalBayesClassifier = StatModel::train<NormalBayesClassifier>(prepare_train_data());
StatModel         191 samples/cpp/points_classifier.cpp     Ptr<GBTrees> gbtrees = StatModel::train<GBTrees>(prepare_train_data(), params);
StatModel         365 samples/cpp/train_HOG.cpp     svm = StatModel::load<SVM>( "my_people_detector.yml" );
StatModel          21 samples/cpp/tree_engine.cpp static void train_and_print_errs(Ptr<StatModel> model, const Ptr<TrainData>& data)