C# Class numl.Supervised.Regression.LogisticRegressionGenerator

A logistic regression generator.

Inheritance: Generator

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

Méthodes publiques

Méthode	Description
Generate ( Matrix X, Vector y ) : IModel	Generate Logistic Regression model based on a set of examples.
IncreaseDimensions ( Matrix x, int polynomialFeatures ) : Matrix	Adds a specified number of polynomial features to the training set Matrix.
LogisticRegressionGenerator ( ) : System	Initialises a LogisticRegressionGenerator object

Method Details

Generate() public méthode

Generate Logistic Regression model based on a set of examples.

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

IncreaseDimensions() public static méthode

Adds a specified number of polynomial features to the training set Matrix.

public static IncreaseDimensions ( Matrix x, int polynomialFeatures ) : Matrix
x	Matrix	Training set
polynomialFeatures	int	Number of polynomial features to add
Résultat	Matrix

LogisticRegressionGenerator() public méthode

Initialises a LogisticRegressionGenerator object

public LogisticRegressionGenerator ( ) : System
Résultat	System