OpenCV  4.1.2-dev
Open Source Computer Vision
Public Member Functions | Public Attributes | List of all members
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 ( )

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.


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