C# Class numl.Supervised.DecisionTree.DecisionTreeGenerator

A decision tree generator.

Inheritance: Generator

Afficher le fichier Open project: sethjuarez/numl Class Usage Examples

Méthodes publiques

Méthode	Description
DecisionTreeGenerator ( Descriptor descriptor ) : System	Constructor.
DecisionTreeGenerator ( int depth = 5, int width = 2, Descriptor descriptor = null, Type impurityType = null, double hint = double.Epsilon ) : System	Constructor.
Generate ( Matrix X, Vector y ) : IModel	Generates.
SetHint ( object o ) : void	Sets a hint.

Private Methods

Méthode	Description
BuildLeafNode ( double val ) : Node
BuildTree ( Matrix x, Vector y, int depth, List used, Tree tree ) : Node	Builds a tree.
GetBestSplit ( Matrix x, Vector y, List used ) : Tuple	Gets best split.

Method Details

DecisionTreeGenerator() public méthode

Constructor.

public DecisionTreeGenerator ( Descriptor descriptor ) : System
descriptor	Descriptor	the descriptor.
Résultat	System

DecisionTreeGenerator() public méthode

Constructor.

Thrown when the requested operation is invalid.

public DecisionTreeGenerator ( int depth = 5, int width = 2, Descriptor descriptor = null, Type impurityType = null, double hint = double.Epsilon ) : System
depth	int	(Optional) The depth.
width	int	(Optional) the width.
descriptor	Descriptor	(Optional) the descriptor.
impurityType	System.Type	(Optional) type of the impurity.
hint	double	(Optional) the hint.
Résultat	System

Generate() public méthode

Generates.

Thrown when the requested operation is invalid.

public Generate ( Matrix X, Vector y ) : IModel
X	Matrix	The Matrix to process.
y	numl.Math.LinearAlgebra.Vector	The Vector to process.
Résultat	IModel

SetHint() public méthode

Sets a hint.

public SetHint ( object o ) : void
o	object	The object to process.
Résultat	void