C# Class numl.Supervised.Regression.LogisticRegressionModel

A Logistic Regression Model object
Inheritance: Model, IClassifier
Mostra file Open project: sethjuarez/numl Class Usage Examples

Public Methods

Method Description
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.

Method Details

IncreaseDimensions() public static method

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
return numl.Math.LinearAlgebra.Vector

LogisticRegressionModel() public method

Default constructor
public LogisticRegressionModel ( ) : System
return System

Predict() public method

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
return double

PredictRaw() public method

Computes the probability of the prediction being True.
public PredictRaw ( Vector x ) : double
x numl.Math.LinearAlgebra.Vector
return double