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OpenCV
2.4.13
Open Source Computer Vision
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OpenCV
2.4.13
Open Source Computer Vision
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This is the complete list of members for CvForestTree, including all inherited members.
| calc_error(CvMLData *trainData, int type, std::vector< float > *resp=0) | CvDTree | virtual |
| calc_node_dir(CvDTreeNode *node) | CvDTree | protectedvirtual |
| calc_node_value(CvDTreeNode *node) | CvDTree | protectedvirtual |
| clear() | CvDTree | virtual |
| cluster_categories(const int *vectors, int vector_count, int var_count, int *sums, int k, int *cluster_labels) | CvDTree | protectedvirtual |
| complete_node_dir(CvDTreeNode *node) | CvDTree | protectedvirtual |
| cut_tree(int T, int fold, double min_alpha) | CvDTree | protectedvirtual |
| cv::ForestTreeBestSplitFinder | CvForestTree | friend |
| CvDTree() | CvDTree | |
| CvForestTree() | CvForestTree | |
| CvStatModel() | CvStatModel | |
| data | CvDTree | protected |
| default_model_name | CvStatModel | protected |
| do_train(const CvMat *_subsample_idx) | CvDTree | protectedvirtual |
| find_best_split(CvDTreeNode *n) | CvForestTree | protectedvirtual |
| find_split_cat_class(CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0) | CvDTree | protectedvirtual |
| find_split_cat_reg(CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0) | CvDTree | protectedvirtual |
| find_split_ord_class(CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0) | CvDTree | protectedvirtual |
| find_split_ord_reg(CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0) | CvDTree | protectedvirtual |
| find_surrogate_split_cat(CvDTreeNode *n, int vi, uchar *ext_buf=0) | CvDTree | protectedvirtual |
| find_surrogate_split_ord(CvDTreeNode *n, int vi, uchar *ext_buf=0) | CvDTree | protectedvirtual |
| forest | CvForestTree | protected |
| free_prune_data(bool cut_tree) | CvDTree | protectedvirtual |
| free_tree() | CvDTree | protectedvirtual |
| get_data() | CvDTree | |
| get_pruned_tree_idx() const | CvDTree | |
| get_root() const | CvDTree | |
| get_var_count() const | CvForestTree | inlinevirtual |
| get_var_importance() | CvDTree | virtual |
| getVarImportance() | CvDTree | virtual |
| load(const char *filename, const char *name=0) | CvStatModel | virtual |
| predict(const CvMat *sample, const CvMat *missingDataMask=0, bool preprocessedInput=false) const | CvDTree | virtual |
| predict(const cv::Mat &sample, const cv::Mat &missingDataMask=cv::Mat(), bool preprocessedInput=false) const | CvDTree | virtual |
| prune_cv() | CvDTree | protectedvirtual |
| pruned_tree_idx | CvDTree | |
| read(CvFileStorage *fs, CvFileNode *node, CvRTrees *forest, CvDTreeTrainData *_data) | CvForestTree | virtual |
| read(CvFileStorage *fs, CvFileNode *node) | CvForestTree | virtual |
| read(CvFileStorage *fs, CvFileNode *node, CvDTreeTrainData *data) | CvForestTree | virtual |
| read_node(CvFileStorage *fs, CvFileNode *node, CvDTreeNode *parent) | CvDTree | protectedvirtual |
| read_split(CvFileStorage *fs, CvFileNode *node) | CvDTree | protectedvirtual |
| read_tree_nodes(CvFileStorage *fs, CvFileNode *node) | CvDTree | protectedvirtual |
| root | CvDTree | protected |
| save(const char *filename, const char *name=0) const | CvStatModel | virtual |
| split_node_data(CvDTreeNode *n) | CvDTree | protectedvirtual |
| train(CvDTreeTrainData *trainData, const CvMat *_subsample_idx, CvRTrees *forest) | CvForestTree | virtual |
| 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()) | CvForestTree | virtual |
| train(CvDTreeTrainData *trainData, const CvMat *_subsample_idx) | CvForestTree | virtual |
| CvDTree::train(CvMLData *trainData, CvDTreeParams params=CvDTreeParams()) | CvDTree | virtual |
| CvDTree::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()) | CvDTree | virtual |
| try_split_node(CvDTreeNode *n) | CvDTree | protectedvirtual |
| update_tree_rnc(int T, int fold) | CvDTree | protectedvirtual |
| var_importance | CvDTree | protected |
| write(CvFileStorage *fs, const char *name) const | CvDTree | virtual |
| write(CvFileStorage *fs) const | CvDTree | virtual |
| write_node(CvFileStorage *fs, CvDTreeNode *node) const | CvDTree | protectedvirtual |
| write_split(CvFileStorage *fs, CvDTreeSplit *split) const | CvDTree | protectedvirtual |
| write_tree_nodes(CvFileStorage *fs) const | CvDTree | protectedvirtual |
| ~CvDTree() | CvDTree | virtual |
| ~CvForestTree() | CvForestTree | virtual |
| ~CvStatModel() | CvStatModel | virtual |
1.8.11