CvDTreeSplit Class

OpenCvSharp Class Library

Decision tree node split

Inheritance Hierarchy

SystemObject
OpenCvSharpCvObject
OpenCvSharp.CPlusPlusCvDTreeSplit

Namespace: OpenCvSharp.CPlusPlus
Assembly: OpenCvSharp.CPlusPlus (in OpenCvSharp.CPlusPlus.dll) Version: 1.0.0.0 (1.0.0.0)

Syntax

public class CvDTreeSplit : CvObject

Public Class CvDTreeSplit
	Inherits CvObject

public ref class CvDTreeSplit : public CvObject

type CvDTreeSplit =  
    class
        inherit CvObject
    end

The CvDTreeSplit type exposes the following members.

Constructors

	Name	Description
	CvDTreeSplit	Initializes a new instance of the CvDTreeSplit class

Properties

	Name	Description
	CvPtr	Native pointer of OpenCV structure (Inherited from CvObject.)
	Inversed	When true, the inverse split rule is used (i.e. left and right branches are exchanged in the expressions below)
	Next	Pointer to the next split in the node split list.
	OrdC	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
	OrdSplitPoint	Used internally by the training algorithm.
	Quality	The split quality, a positive number. It is used to choose the best primary split, then to choose and sort the surrogate splits. After the tree is constructed, it is also used to compute variable importance.
	Subset	Bit array indicating the value subset in case of split on a categorical variable. The rule is: if var_value in subset then next_node<-left else next_node<-right
	VarIdx	Index of the variable used in the split

Methods

Fields

	Name	Description
	ptr	Data pointer (Inherited from CvObject.)