TrainData         141 modules/ml/include/opencv2/ml.hpp     virtual ~TrainData();
TrainData         256 modules/ml/include/opencv2/ml.hpp     static Ptr<TrainData> loadFromCSV(const String& filename,
TrainData         283 modules/ml/include/opencv2/ml.hpp     CV_WRAP static Ptr<TrainData> create(InputArray samples, int layout, InputArray responses,
TrainData         318 modules/ml/include/opencv2/ml.hpp     CV_WRAP virtual bool train( const Ptr<TrainData>& trainData, int flags=0 );
TrainData         341 modules/ml/include/opencv2/ml.hpp     CV_WRAP virtual float calcError( const Ptr<TrainData>& data, bool test, OutputArray resp ) const;
TrainData         355 modules/ml/include/opencv2/ml.hpp     template<typename _Tp> static Ptr<_Tp> train(const Ptr<TrainData>& data, int flags=0)
TrainData         665 modules/ml/include/opencv2/ml.hpp     virtual bool trainAuto( const Ptr<TrainData>& data, int kFold = 10,
TrainData         689 modules/ml/src/ann_mlp.cpp     bool train( const Ptr<TrainData>& trainData, int flags )
TrainData          89 modules/ml/src/boost.cpp     void startTraining( const Ptr<TrainData>& trainData, int flags )
TrainData         185 modules/ml/src/boost.cpp     bool train( const Ptr<TrainData>& trainData, int flags )
TrainData         470 modules/ml/src/boost.cpp     bool train( const Ptr<TrainData>& trainData, int flags )
TrainData          48 modules/ml/src/data.cpp static const float MISSED_VAL = TrainData::missingValue();
TrainData          51 modules/ml/src/data.cpp TrainData::~TrainData() {}
TrainData          53 modules/ml/src/data.cpp Mat TrainData::getSubVector(const Mat& vec, const Mat& idx)
TrainData         115 modules/ml/src/data.cpp class TrainDataImpl : public TrainData
TrainData         973 modules/ml/src/data.cpp Ptr<TrainData> TrainData::loadFromCSV(const String& filename,
TrainData         986 modules/ml/src/data.cpp Ptr<TrainData> TrainData::create(InputArray samples, int layout, InputArray responses,
TrainData         112 modules/ml/src/em.cpp     bool train(const Ptr<TrainData>& data, int)
TrainData          57 modules/ml/src/inner_functions.cpp bool StatModel::train( const Ptr<TrainData>&, int )
TrainData          65 modules/ml/src/inner_functions.cpp     return train(TrainData::create(samples, layout, responses));
TrainData          68 modules/ml/src/inner_functions.cpp float StatModel::calcError( const Ptr<TrainData>& data, bool testerr, OutputArray _resp ) const
TrainData          74 modules/ml/src/knearest.cpp     bool train( const Ptr<TrainData>& data, int flags )
TrainData         494 modules/ml/src/knearest.cpp     bool train( const Ptr<TrainData>& data, int flags )
TrainData          98 modules/ml/src/lr.cpp     virtual bool train( const Ptr<TrainData>& trainData, int=0 );
TrainData         129 modules/ml/src/lr.cpp bool LogisticRegressionImpl::train(const Ptr<TrainData>& trainData, int)
TrainData          55 modules/ml/src/nbayes.cpp     bool train( const Ptr<TrainData>& trainData, int flags )
TrainData         262 modules/ml/src/precomp.hpp             WorkData(const Ptr<TrainData>& _data);
TrainData         264 modules/ml/src/precomp.hpp             Ptr<TrainData> data;
TrainData         301 modules/ml/src/precomp.hpp         virtual void startTraining( const Ptr<TrainData>& trainData, int flags );
TrainData         304 modules/ml/src/precomp.hpp         virtual bool train( const Ptr<TrainData>& trainData, int flags );
TrainData         106 modules/ml/src/rtrees.cpp     void startTraining( const Ptr<TrainData>& trainData, int flags )
TrainData         126 modules/ml/src/rtrees.cpp     bool train( const Ptr<TrainData>& trainData, int flags )
TrainData         380 modules/ml/src/rtrees.cpp     bool train( const Ptr<TrainData>& trainData, int flags )
TrainData        1595 modules/ml/src/svm.cpp     bool train( const Ptr<TrainData>& data, int )
TrainData        1625 modules/ml/src/svm.cpp     bool trainAuto( const Ptr<TrainData>& data, int k_fold,
TrainData          99 modules/ml/src/tree.cpp DTreesImpl::WorkData::WorkData(const Ptr<TrainData>& _data)
TrainData         137 modules/ml/src/tree.cpp void DTreesImpl::startTraining( const Ptr<TrainData>& data, int )
TrainData         224 modules/ml/src/tree.cpp bool DTreesImpl::train( const Ptr<TrainData>& trainData, int flags )
TrainData        1385 modules/ml/src/tree.cpp     const float MISSED_VAL = TrainData::missingValue();
TrainData          46 modules/ml/test/test_emknearestkmeans.cpp using cv::ml::TrainData;
TrainData         615 modules/ml/test/test_emknearestkmeans.cpp         Ptr<TrainData> data = TrainData::loadFromCSV(dataFilename, 0);
TrainData          96 modules/ml/test/test_lr.cpp     Ptr<TrainData> tdata = TrainData::loadFromCSV(dataFileName, 0);
TrainData         152 modules/ml/test/test_lr.cpp     Ptr<TrainData> tdata = TrainData::loadFromCSV(dataFileName, 0);
TrainData          88 modules/ml/test/test_mltests2.cpp void ann_check_data( Ptr<TrainData> _data )
TrainData         100 modules/ml/test/test_mltests2.cpp Mat ann_get_new_responses( Ptr<TrainData> _data, map<int, int>& cls_map )
TrainData         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 )
TrainData         297 modules/ml/test/test_mltests2.cpp     data = TrainData::loadFromCSV(filename, 0, respIdx, respIdx+1, varTypes);
TrainData         354 modules/ml/test/test_mltests2.cpp         data = TrainData::create(data->getSamples(), data->getLayout(), new_responses,
TrainData          32 modules/ml/test/test_precomp.hpp using cv::ml::TrainData;
TrainData          60 modules/ml/test/test_precomp.hpp     Ptr<TrainData> data;
TrainData          47 modules/ml/test/test_svmtrainauto.cpp using cv::ml::TrainData;
TrainData          72 modules/ml/test/test_svmtrainauto.cpp     cv::Ptr<TrainData> data = TrainData::create( samples, cv::ml::ROW_SAMPLE, responses );
TrainData          97 samples/cpp/letter_recog.cpp static Ptr<TrainData>
TrainData         109 samples/cpp/letter_recog.cpp     return TrainData::create(data, ROW_SAMPLE, responses,
TrainData         186 samples/cpp/letter_recog.cpp         Ptr<TrainData> tdata = prepare_train_data(data, responses, ntrain_samples);
TrainData         280 samples/cpp/letter_recog.cpp         Ptr<TrainData> tdata = TrainData::create(new_data, ROW_SAMPLE, new_responses,
TrainData         408 samples/cpp/letter_recog.cpp         Ptr<TrainData> tdata = TrainData::create(train_data, ROW_SAMPLE, train_responses);
TrainData         439 samples/cpp/letter_recog.cpp     Ptr<TrainData> tdata = prepare_train_data(data, responses, ntrain_samples);
TrainData         466 samples/cpp/letter_recog.cpp     Ptr<TrainData> tdata = prepare_train_data(data, responses, ntrain_samples);
TrainData         503 samples/cpp/letter_recog.cpp         Ptr<TrainData> tdata = prepare_train_data(data, responses, ntrain_samples);
TrainData          79 samples/cpp/points_classifier.cpp static Ptr<TrainData> prepare_train_data()
TrainData          82 samples/cpp/points_classifier.cpp     return TrainData::create(samples, ROW_SAMPLE, Mat(trainedPointsMarkers));
TrainData         225 samples/cpp/points_classifier.cpp     Ptr<TrainData> tdata = TrainData::create(samples, ROW_SAMPLE, trainClasses);
TrainData          21 samples/cpp/tree_engine.cpp static void train_and_print_errs(Ptr<StatModel> model, const Ptr<TrainData>& data)
TrainData          65 samples/cpp/tree_engine.cpp     Ptr<TrainData> data = TrainData::loadFromCSV(filename, 0, response_idx, response_idx+1, typespec);