org.bytedeco.javacpp

Class opencv_ml.DTrees.Node

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.opencv_ml.DTrees.Node

All Implemented Interfaces:

AutoCloseable

Enclosing class:

opencv_ml.DTrees

@NoOffset
public static class opencv_ml.DTrees.Node
extends Pointer

\brief The class represents a decision tree node.

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
opencv_ml.DTrees.Node()
opencv_ml.DTrees.Node(long size) Native array allocator.
opencv_ml.DTrees.Node(Pointer p) Pointer cast constructor.

Method Summary

Methods

Modifier and Type	Method and Description
int	classIdx() Class index normalized to 0..class_count-1 range and assigned to the node.
opencv_ml.DTrees.Node	classIdx(int classIdx)
int	defaultDir() Default direction where to go (-1: left or +1: right).
opencv_ml.DTrees.Node	defaultDir(int defaultDir)
int	left() Index of the left child node
opencv_ml.DTrees.Node	left(int left)
int	parent() Index of the parent node
opencv_ml.DTrees.Node	parent(int parent)
opencv_ml.DTrees.Node	position(long position)
int	right() Index of right child node
opencv_ml.DTrees.Node	right(int right)
int	split() Index of the first split
opencv_ml.DTrees.Node	split(int split)
double	value() Value at the node: a class label in case of classification or estimated function value in case of regression.
opencv_ml.DTrees.Node	value(double value)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, hashCode, isNull, limit, limit, maxBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, position, put, setNull, sizeof, toString, totalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

opencv_ml.DTrees.Node

public opencv_ml.DTrees.Node(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

opencv_ml.DTrees.Node

public opencv_ml.DTrees.Node(long size)

Native array allocator. Access with Pointer.position(long).

opencv_ml.DTrees.Node

public opencv_ml.DTrees.Node()

Method Detail

position

public opencv_ml.DTrees.Node position(long position)

Overrides:

position in class Pointer

value

public double value()

Value at the node: a class label in case of classification or estimated function value in case of regression.

value

public opencv_ml.DTrees.Node value(double value)

classIdx

public int classIdx()

Class index normalized to 0..class_count-1 range and assigned to the node. It is used internally in classification trees and tree ensembles.

classIdx

public opencv_ml.DTrees.Node classIdx(int classIdx)

parent

public int parent()

Index of the parent node

parent

public opencv_ml.DTrees.Node parent(int parent)

left

public int left()

Index of the left child node

left

public opencv_ml.DTrees.Node left(int left)

right

public int right()

Index of right child node

right

public opencv_ml.DTrees.Node right(int right)

defaultDir

public int defaultDir()

Default direction where to go (-1: left or +1: right). It helps in the case of missing values.

defaultDir

public opencv_ml.DTrees.Node defaultDir(int defaultDir)

split

public int split()

Index of the first split

split

public opencv_ml.DTrees.Node split(int split)