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cv::ml::DTrees::Split Class Reference

The class represents split in a decision tree. More...

#include "ml.hpp"

Public Member Functions

 Split ()
 

Public Attributes

float c
 
bool inversed
 
int next
 Index of the next split in the list of splits for the node. More...
 
float quality
 The split quality, a positive number. It is used to choose the best split. More...
 
int subsetOfs
 
int varIdx
 Index of variable on which the split is created. More...
 

Detailed Description

The class represents split in a decision tree.

Constructor & Destructor Documentation

cv::ml::DTrees::Split::Split ( )

Member Data Documentation

float cv::ml::DTrees::Split::c

The threshold value in case of split on an ordered variable. The rule is:

if var_value < c
then next_node <- left
else next_node <- right
bool cv::ml::DTrees::Split::inversed

If true, then the inverse split rule is used (i.e. left and right branches are exchanged in the rule expressions below).

int cv::ml::DTrees::Split::next

Index of the next split in the list of splits for the node.

float cv::ml::DTrees::Split::quality

The split quality, a positive number. It is used to choose the best split.

int cv::ml::DTrees::Split::subsetOfs

Offset of the bitset used by the split on a categorical variable. The rule is:

if bitset[var_value] == 1
then next_node <- left
else next_node <- right
int cv::ml::DTrees::Split::varIdx

Index of variable on which the split is created.


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