C# Class numl.Supervised.DecisionTree.DecisionTreeGenerator

A decision tree generator.

Inheritance: Generator

Datei anzeigen Open project: sethjuarez/numl Class Usage Examples

Public Methods

Method	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

Method	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 method

Constructor.

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

DecisionTreeGenerator() public method

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.
return	System

Generate() public method

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.
return	IModel

SetHint() public method

Sets a hint.

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