org.opencv.ml
Class CvRTParams
java.lang.Object
   org.opencv.ml.CvDTreeParams
org.opencv.ml.CvDTreeParams
       org.opencv.ml.CvRTParams
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
 
 
 
 
| 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 | 
| clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait | 
 
CvRTParams
public CvRTParams()
CvRTParams
protected CvRTParams(long addr)
finalize
protected void finalize()
                 throws java.lang.Throwable
- 
- Overrides:
- finalizein class- CvDTreeParams
 
- 
- Throws:
- java.lang.Throwable
 
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)
-