# CvGBTrees Member List

This is the complete list of members for CvGBTrees, including all inherited members.

ABSOLUTE_LOSS enum value | CvGBTrees |
base_value | CvGBTrees | `[protected]`
calc_error(CvMLData *_data, int type, std::vector< float > *resp=0) | CvGBTrees | `[virtual]`
change_values(CvDTree *tree, const int k=0) | CvGBTrees | `[protected, virtual]`
class_count | CvGBTrees | `[protected]`
class_labels | CvGBTrees | `[protected]`
clear() | CvGBTrees | `[virtual]`
CvGBTrees() | CvGBTrees |
CvGBTrees(const CvMat *trainData, int tflag, const CvMat *responses, const CvMat *varIdx=0, const CvMat *sampleIdx=0, const CvMat *varType=0, const CvMat *missingDataMask=0, CvGBTreesParams params=CvGBTreesParams()) | CvGBTrees |
CvGBTrees(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(), CvGBTreesParams params=CvGBTreesParams()) | CvGBTrees |
CvStatModel() | CvStatModel |
data | CvGBTrees | `[protected]`
default_model_name | CvStatModel | `[protected]`
delta | CvGBTrees | `[protected]`
DEVIANCE_LOSS enum value | CvGBTrees |
do_subsample() | CvGBTrees | `[protected, virtual]`
find_gradient(const int k=0) | CvGBTrees | `[protected, virtual]`
find_optimal_value(const CvMat *_Idx) | CvGBTrees | `[protected, virtual]`
GetLeaves(const CvDTree *dtree, int &len) | CvGBTrees | `[protected]`
HUBER_LOSS enum value | CvGBTrees |
leaves_get(CvDTreeNode **leaves, int &count, CvDTreeNode *node) | CvGBTrees | `[protected]`
load(const char *filename, const char *name=0) | CvStatModel | `[virtual]`
missing | CvGBTrees | `[protected]`
orig_response | CvGBTrees | `[protected]`
params | CvGBTrees | `[protected]`
predict(const CvMat *sample, const CvMat *missing=0, CvMat *weakResponses=0, CvSlice slice=CV_WHOLE_SEQ, int k=-1) const | CvGBTrees | `[virtual]`
predict(const cv::Mat &sample, const cv::Mat &missing=cv::Mat(), const cv::Range &slice=cv::Range::all(), int k=-1) const | CvGBTrees | `[virtual]`
problem_type() const | CvGBTrees | `[protected, virtual]`
read(CvFileStorage *fs, CvFileNode *node) | CvGBTrees | `[virtual]`
read_params(CvFileStorage *fs, CvFileNode *fnode) | CvGBTrees | `[protected, virtual]`
rng | CvGBTrees | `[protected]`
sample_idx | CvGBTrees | `[protected]`
save(const char *filename, const char *name=0) const | CvStatModel | `[virtual]`
SQUARED_LOSS enum value | CvGBTrees |
subsample_test | CvGBTrees | `[protected]`
subsample_train | CvGBTrees | `[protected]`
sum_response | CvGBTrees | `[protected]`
sum_response_tmp | CvGBTrees | `[protected]`
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, CvGBTreesParams params=CvGBTreesParams(), bool update=false) | CvGBTrees | `[virtual]`
train(CvMLData *data, CvGBTreesParams params=CvGBTreesParams(), bool update=false) | CvGBTrees | `[virtual]`
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(), CvGBTreesParams params=CvGBTreesParams(), bool update=false) | CvGBTrees | `[virtual]`
weak | CvGBTrees | `[protected]`
weak_eval | CvGBTrees | `[protected]`
write(CvFileStorage *fs, const char *name) const | CvGBTrees | `[virtual]`
write_params(CvFileStorage *fs) const | CvGBTrees | `[protected, virtual]`
~CvGBTrees() | CvGBTrees | `[virtual]`
~CvStatModel() | CvStatModel | `[virtual]`

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