CvGBTrees 1327 apps/traincascade/old_ml.hpp CV_WRAP CvGBTrees(); CvGBTrees 1367 apps/traincascade/old_ml.hpp CvGBTrees( const CvMat* trainData, int tflag, CvGBTrees 1377 apps/traincascade/old_ml.hpp virtual ~CvGBTrees(); CvGBTrees 1579 apps/traincascade/old_ml.hpp CV_WRAP CvGBTrees( const cv::Mat& trainData, int tflag, CvGBTrees 2060 apps/traincascade/old_ml.hpp typedef CvGBTrees GradientBoostingTrees; CvGBTrees 18 modules/ml/src/gbt.cpp loss_function_type = CvGBTrees::SQUARED_LOSS; CvGBTrees 42 modules/ml/src/gbt.cpp CvGBTrees::CvGBTrees() CvGBTrees 59 modules/ml/src/gbt.cpp int CvGBTrees::get_len(const CvMat* mat) const CvGBTrees 66 modules/ml/src/gbt.cpp void CvGBTrees::clear() CvGBTrees 115 modules/ml/src/gbt.cpp CvGBTrees::~CvGBTrees() CvGBTrees 122 modules/ml/src/gbt.cpp CvGBTrees::CvGBTrees( const CvMat* _train_data, int _tflag, CvGBTrees 143 modules/ml/src/gbt.cpp bool CvGBTrees::problem_type() const CvGBTrees 155 modules/ml/src/gbt.cpp CvGBTrees::train( CvMLData* _data, CvGBTreesParams _params, bool update ) CvGBTrees 170 modules/ml/src/gbt.cpp CvGBTrees::train( const CvMat* _train_data, int _tflag, CvGBTrees 425 modules/ml/src/gbt.cpp void CvGBTrees::find_gradient(const int k) CvGBTrees 525 modules/ml/src/gbt.cpp void CvGBTrees::change_values(CvDTree* tree, const int _k) CvGBTrees 670 modules/ml/src/gbt.cpp float CvGBTrees::find_optimal_value( const CvMat* _Idx ) CvGBTrees 755 modules/ml/src/gbt.cpp void CvGBTrees::leaves_get( CvDTreeNode** leaves, int& count, CvDTreeNode* node ) CvGBTrees 765 modules/ml/src/gbt.cpp CvDTreeNode** CvGBTrees::GetLeaves( const CvDTree* dtree, int& len ) CvGBTrees 775 modules/ml/src/gbt.cpp void CvGBTrees::do_subsample() CvGBTrees 806 modules/ml/src/gbt.cpp float CvGBTrees::predict_serial( const CvMat* _sample, const CvMat* _missing, CvGBTrees 955 modules/ml/src/gbt.cpp float CvGBTrees::predict( const CvMat* _sample, const CvMat* _missing, CvGBTrees 1007 modules/ml/src/gbt.cpp void CvGBTrees::write_params( CvFileStorage* fs ) const CvGBTrees 1036 modules/ml/src/gbt.cpp void CvGBTrees::read_params( CvFileStorage* fs, CvFileNode* fnode ) CvGBTrees 1095 modules/ml/src/gbt.cpp void CvGBTrees::write( CvFileStorage* fs, const char* name ) const CvGBTrees 1142 modules/ml/src/gbt.cpp void CvGBTrees::read( CvFileStorage* fs, CvFileNode* node ) CvGBTrees 1202 modules/ml/src/gbt.cpp const CvGBTrees* gbt; CvGBTrees 1214 modules/ml/src/gbt.cpp Sample_predictor(const CvGBTrees* _gbt, float* _predictions, CvGBTrees 1261 modules/ml/src/gbt.cpp CvGBTrees::calc_error( CvMLData* _data, int type, std::vector<float> *resp ) CvGBTrees 1320 modules/ml/src/gbt.cpp CvGBTrees::CvGBTrees( const cv::Mat& trainData, int tflag, CvGBTrees 1341 modules/ml/src/gbt.cpp bool CvGBTrees::train( const cv::Mat& trainData, int tflag, CvGBTrees 1357 modules/ml/src/gbt.cpp float CvGBTrees::predict( const cv::Mat& sample, const cv::Mat& _missing, CvGBTrees 35 modules/ml/test/test_gbttest.cpp CvGBTrees* gtb; CvGBTrees 90 modules/ml/test/test_gbttest.cpp case (1) : loss_function_type = CvGBTrees::SQUARED_LOSS; break; CvGBTrees 91 modules/ml/test/test_gbttest.cpp case (2) : loss_function_type = CvGBTrees::ABSOLUTE_LOSS; break; CvGBTrees 92 modules/ml/test/test_gbttest.cpp case (3) : loss_function_type = CvGBTrees::HUBER_LOSS; break; CvGBTrees 93 modules/ml/test/test_gbttest.cpp case (0) : loss_function_type = CvGBTrees::DEVIANCE_LOSS; break; CvGBTrees 134 modules/ml/test/test_gbttest.cpp gtb = new CvGBTrees();