OpenCV 5.0.0-pre
Open Source Computer Vision
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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. | |
The class represents split in a decision tree.
cv::ml::DTrees::Split::Split | ( | ) |
float cv::ml::DTrees::Split::c |
The threshold value in case of split on an ordered variable. The rule is:
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:
int cv::ml::DTrees::Split::varIdx |
Index of variable on which the split is created.