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. 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

Split()

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

(

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Member Data Documentation

c

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

inversed

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).

next

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

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

quality

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

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

subsetOfs

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

varIdx

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:

• opencv2/ml.hpp