C# 클래스 numl.Supervised.Regression.LogisticRegressionGenerator

A logistic regression generator.

상속: Generator

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공개 메소드들

메소드	설명
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

메소드 상세

Generate() 공개 메소드

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.
리턴	IModel

IncreaseDimensions() 공개 정적인 메소드

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
리턴	Matrix

LogisticRegressionGenerator() 공개 메소드

Initialises a LogisticRegressionGenerator object

public LogisticRegressionGenerator ( ) : System
리턴	System