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virtual double | calc_node_dir (CvDTreeNode *node) |
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virtual CvDTreeSplit * | find_split_ord_class (CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0) |
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virtual CvDTreeSplit * | find_split_cat_class (CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0) |
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virtual CvDTreeSplit * | find_split_ord_reg (CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0) |
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virtual CvDTreeSplit * | find_split_cat_reg (CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0) |
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virtual void | split_node_data (CvDTreeNode *n) |
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virtual CvDTreeSplit * | find_best_split (CvDTreeNode *n) |
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virtual bool | do_train (const CvMat *_subsample_idx) |
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virtual void | try_split_node (CvDTreeNode *n) |
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virtual CvDTreeSplit * | find_surrogate_split_ord (CvDTreeNode *n, int vi, uchar *ext_buf=0) |
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virtual CvDTreeSplit * | find_surrogate_split_cat (CvDTreeNode *n, int vi, uchar *ext_buf=0) |
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virtual void | complete_node_dir (CvDTreeNode *node) |
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virtual void | cluster_categories (const int *vectors, int vector_count, int var_count, int *sums, int k, int *cluster_labels) |
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virtual void | calc_node_value (CvDTreeNode *node) |
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virtual void | prune_cv () |
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virtual double | update_tree_rnc (int T, int fold) |
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virtual int | cut_tree (int T, int fold, double min_alpha) |
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virtual void | free_prune_data (bool cut_tree) |
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virtual void | free_tree () |
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virtual void | write_node (CvFileStorage *fs, CvDTreeNode *node) const |
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virtual void | write_split (CvFileStorage *fs, CvDTreeSplit *split) const |
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virtual CvDTreeNode * | read_node (CvFileStorage *fs, CvFileNode *node, CvDTreeNode *parent) |
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virtual CvDTreeSplit * | read_split (CvFileStorage *fs, CvFileNode *node) |
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virtual void | write_tree_nodes (CvFileStorage *fs) const |
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virtual void | read_tree_nodes (CvFileStorage *fs, CvFileNode *node) |
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| CvForestTree () |
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virtual | ~CvForestTree () |
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virtual bool | train (CvDTreeTrainData *trainData, const CvMat *_subsample_idx, CvRTrees *forest) |
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virtual int | get_var_count () const |
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virtual void | read (CvFileStorage *fs, CvFileNode *node, CvRTrees *forest, CvDTreeTrainData *_data) |
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virtual bool | train (const CvMat *trainData, int tflag, const CvMat *responses, const CvMat *varIdx=0, const CvMat *sampleIdx=0, const CvMat *varType=0, const CvMat *missingDataMask=0, CvDTreeParams params=CvDTreeParams()) |
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virtual bool | train (CvDTreeTrainData *trainData, const CvMat *_subsample_idx) |
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virtual void | read (CvFileStorage *fs, CvFileNode *node) |
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virtual void | read (CvFileStorage *fs, CvFileNode *node, CvDTreeTrainData *data) |
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| CvDTree () |
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virtual | ~CvDTree () |
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virtual bool | train (CvMLData *trainData, CvDTreeParams params=CvDTreeParams()) |
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virtual float | calc_error (CvMLData *trainData, int type, std::vector< float > *resp=0) |
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virtual CvDTreeNode * | predict (const CvMat *sample, const CvMat *missingDataMask=0, bool preprocessedInput=false) const |
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virtual bool | train (const cv::Mat &trainData, int tflag, const cv::Mat &responses, const cv::Mat &varIdx=cv::Mat(), const cv::Mat &sampleIdx=cv::Mat(), const cv::Mat &varType=cv::Mat(), const cv::Mat &missingDataMask=cv::Mat(), CvDTreeParams params=CvDTreeParams()) |
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virtual CvDTreeNode * | predict (const cv::Mat &sample, const cv::Mat &missingDataMask=cv::Mat(), bool preprocessedInput=false) const |
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virtual cv::Mat | getVarImportance () |
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virtual const CvMat * | get_var_importance () |
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virtual void | clear () |
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virtual void | write (CvFileStorage *fs, const char *name) const |
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virtual void | write (CvFileStorage *fs) const |
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const CvDTreeNode * | get_root () const |
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int | get_pruned_tree_idx () const |
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CvDTreeTrainData * | get_data () |
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| CvStatModel () |
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virtual | ~CvStatModel () |
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virtual void | save (const char *filename, const char *name=0) const |
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virtual void | load (const char *filename, const char *name=0) |
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int | pruned_tree_idx |
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CvRTrees * | forest |
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CvDTreeNode * | root |
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CvMat * | var_importance |
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CvDTreeTrainData * | data |
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const char * | default_model_name |
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