C# 클래스 numl.Supervised.Regression.LogisticRegressionModel

A Logistic Regression Model object

상속: Model, IClassifier

공개 메소드들

메소드	설명
IncreaseDimensions ( Vector x, int polynomialFeatures ) : Vector	Adds a specified number of polynomial features to the training / test Vector.
LogisticRegressionModel ( ) : System	Default constructor
Predict ( Vector x ) : double	Create a prediction based on the learned Theta values and the supplied test item.
PredictRaw ( Vector x ) : double	Computes the probability of the prediction being True.

Adds a specified number of polynomial features to the training / test Vector.

public static IncreaseDimensions ( Vector x, int polynomialFeatures ) : Vector
x	numl.Math.LinearAlgebra.Vector	Training / Testing record
polynomialFeatures	int	Number of polynomial features to add
리턴	numl.Math.LinearAlgebra.Vector

Default constructor

public LogisticRegressionModel ( ) : System
리턴	System

Create a prediction based on the learned Theta values and the supplied test item.

public Predict ( Vector x ) : double
x	numl.Math.LinearAlgebra.Vector	Training record
리턴	double

Computes the probability of the prediction being True.

public PredictRaw ( Vector x ) : double
x	numl.Math.LinearAlgebra.Vector
리턴	double