Open Source Computer Vision
CvBoostParams Struct Reference

#include <ml.hpp>

Inheritance diagram for CvBoostParams:

Public Member Functions

 CvBoostParams ()
 CvBoostParams (int boost_type, int weak_count, double weight_trim_rate, int max_depth, bool use_surrogates, const float *priors)
- 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 boost_type
int weak_count
int split_criteria
double weight_trim_rate
- 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

§ CvBoostParams() [1/2]

CvBoostParams::CvBoostParams ( )

§ CvBoostParams() [2/2]

CvBoostParams::CvBoostParams ( int  boost_type,
int  weak_count,
double  weight_trim_rate,
int  max_depth,
bool  use_surrogates,
const float *  priors 

Member Data Documentation

§ boost_type

int CvBoostParams::boost_type

§ split_criteria

int CvBoostParams::split_criteria

§ weak_count

int CvBoostParams::weak_count

§ weight_trim_rate

double CvBoostParams::weight_trim_rate

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