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

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

#include <opencv2/ml.hpp>

Collaboration diagram for cv::ml::DTrees::Split:

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

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