org.opencv.ml
Class CvBoostParams

java.lang.Object
  org.opencv.ml.CvDTreeParams
      org.opencv.ml.CvBoostParams

public class CvBoostParams
extends CvDTreeParams

Boosting training parameters.

There is one structure member that you can set directly:

Splitting criteria used to choose optimal splits during a weak tree construction. Possible values are:

• CvBoost.DEFAULT Use the default for the particular boosting method, see below.

// C++ code:

• CvBoost.GINI Use Gini index. This is default option for Real AdaBoost; may be also used for Discrete AdaBoost.
• CvBoost.MISCLASS Use misclassification rate. This is default option for Discrete AdaBoost; may be also used for Real AdaBoost.
• CvBoost.SQERR Use least squares criteria. This is default and the only option for LogitBoost and Gentle AdaBoost.

The structure is derived from "CvDTreeParams" but not all of the decision tree parameters are supported. In particular, cross-validation is not supported.

All parameters are public. You can initialize them by a constructor and then override some of them directly if you want.

See Also:

org.opencv.ml.CvBoostParams : public CvDTreeParams

Constructor Summary

CvBoostParams()
The constructors.

Method Summary

int	get_boost_type()
int	get_split_criteria()
int	get_weak_count()
double	get_weight_trim_rate()
void	set_boost_type(int boost_type)
void	set_split_criteria(int split_criteria)
void	set_weak_count(int weak_count)
void	set_weight_trim_rate(double weight_trim_rate)

Methods inherited from class org.opencv.ml.CvDTreeParams

get_cv_folds, get_max_categories, get_max_depth, get_min_sample_count, get_regression_accuracy, get_truncate_pruned_tree, get_use_1se_rule, get_use_surrogates, set_cv_folds, set_max_categories, set_max_depth, set_min_sample_count, set_regression_accuracy, set_truncate_pruned_tree, set_use_1se_rule, set_use_surrogates

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

CvBoostParams

public CvBoostParams()

The constructors.

See "CvDTreeParams.CvDTreeParams" for description of other parameters.

Default parameters are:

// C++ code:

CvBoostParams.CvBoostParams()

boost_type = CvBoost.REAL;

weak_count = 100;

weight_trim_rate = 0.95;

cv_folds = 0;

max_depth = 1;

See Also:

org.opencv.ml.CvBoostParams.CvBoostParams

Method Detail

get_boost_type

public int get_boost_type()

get_split_criteria

public int get_split_criteria()

get_weak_count

public int get_weak_count()

get_weight_trim_rate

public double get_weight_trim_rate()

set_boost_type

public void set_boost_type(int boost_type)

set_split_criteria

public void set_split_criteria(int split_criteria)

set_weak_count

public void set_weak_count(int weak_count)

set_weight_trim_rate

public void set_weight_trim_rate(double weight_trim_rate)