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

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

#include <opencv2/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.
float	quality
	The split quality, a positive number. It is used to choose the best split.
int	subsetOfs
int	varIdx
	Index of variable on which the split is created.

Detailed Description

The class represents split in a decision tree.

Constructor & Destructor Documentation

cv::ml::DTrees::Split::Split

(

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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.

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

• ml.hpp