OpenCV 2.4.3.2

org.opencv.ml
Class CvRTParams

java.lang.Object
  extended by org.opencv.ml.CvDTreeParams
      extended by org.opencv.ml.CvRTParams

public class CvRTParams
extends CvDTreeParams

Training parameters of random trees.

The set of training parameters for the forest is a superset of the training parameters for a single tree. However, random trees do not need all the functionality/features of decision trees. Most noticeably, the trees are not pruned, so the cross-validation parameters are not used.

See Also:
org.opencv.ml.CvRTParams : public CvDTreeParams

Constructor Summary
CvRTParams()
           
 
Method Summary
 boolean get_calc_var_importance()
           
 int get_nactive_vars()
           
 TermCriteria get_term_crit()
           
 void set_calc_var_importance(boolean calc_var_importance)
           
 void set_nactive_vars(int nactive_vars)
           
 void set_term_crit(TermCriteria term_crit)
           
 
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

CvRTParams

public CvRTParams()
Method Detail

get_calc_var_importance

public boolean get_calc_var_importance()

get_nactive_vars

public int get_nactive_vars()

get_term_crit

public TermCriteria get_term_crit()

set_calc_var_importance

public void set_calc_var_importance(boolean calc_var_importance)

set_nactive_vars

public void set_nactive_vars(int nactive_vars)

set_term_crit

public void set_term_crit(TermCriteria term_crit)

OpenCV 2.4.3.2 Documentation