Open Source Computer Vision
CvGBTreesParams Struct Reference

#include <ml.hpp>

Inheritance diagram for CvGBTreesParams:

Public Member Functions

 CvGBTreesParams ()
 CvGBTreesParams (int loss_function_type, int weak_count, float shrinkage, float subsample_portion, int max_depth, bool use_surrogates)
- Public Member Functions inherited from CvDTreeParams
 CvDTreeParams ()
 CvDTreeParams (int max_depth, int min_sample_count, float regression_accuracy, bool use_surrogates, int max_categories, int cv_folds, bool use_1se_rule, bool truncate_pruned_tree, const float *priors)

Public Attributes

int weak_count
int loss_function_type
float subsample_portion
float shrinkage
- Public Attributes inherited from CvDTreeParams
int max_categories
int max_depth
int min_sample_count
int cv_folds
bool use_surrogates
bool use_1se_rule
bool truncate_pruned_tree
float regression_accuracy
const float * priors

Constructor & Destructor Documentation

§ CvGBTreesParams() [1/2]

CvGBTreesParams::CvGBTreesParams ( )

§ CvGBTreesParams() [2/2]

CvGBTreesParams::CvGBTreesParams ( int  loss_function_type,
int  weak_count,
float  shrinkage,
float  subsample_portion,
int  max_depth,
bool  use_surrogates 

Member Data Documentation

§ loss_function_type

int CvGBTreesParams::loss_function_type

§ shrinkage

float CvGBTreesParams::shrinkage

§ subsample_portion

float CvGBTreesParams::subsample_portion

§ weak_count

int CvGBTreesParams::weak_count

The documentation for this struct was generated from the following file: