Catalano.MachineLearning.FeatureScaling

Class VectorNormalization

java.lang.Object

Catalano.MachineLearning.FeatureScaling.VectorNormalization

All Implemented Interfaces:

IFeatureScaling, java.io.Serializable

public class VectorNormalization
extends java.lang.Object
implements IFeatureScaling

Vector normalization. f(x) = 1 / ||x||

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
VectorNormalization() Initializes a new instance of the VectorNormalization class.
VectorNormalization(int l) Initializes a new instance of the VectorNormalization class.

Method Summary

Modifier and Type	Method and Description
double[][]	Apply(DecisionVariable[] variables, double[][] data) Apply the normalization.
double[][]	Apply(double[][] data) Apply the normalization.
void	ApplyInPlace(DecisionVariable[] variables, double[][] data) Apply the normalization in place of the original data.
void	ApplyInPlace(double[][] data) Apply the normalization in place of the original data.
double[]	Compute(DecisionVariable[] variables, double[] feature) Normalize the feature.
double[]	Compute(double[] feature) Normalize the feature.
int	getOrder() Get the order of the normalization.
void	setOrder(int l) Set the order of the normalization.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

VectorNormalization

public VectorNormalization()

Initializes a new instance of the VectorNormalization class.

VectorNormalization

public VectorNormalization(int l)

Initializes a new instance of the VectorNormalization class.

Parameters:

l - Order.

Method Detail

getOrder

public int getOrder()

Get the order of the normalization.

Returns:

Order.

setOrder

public void setOrder(int l)

Set the order of the normalization.

Parameters:

l - Order.

Apply

public double[][] Apply(double[][] data)

Description copied from interface: IFeatureScaling

Apply the normalization.

Specified by:

Apply in interface IFeatureScaling

Parameters:

data - Data to be normalized.

Returns:

Normalized data.

Apply

public double[][] Apply(DecisionVariable[] variables,
                        double[][] data)

Description copied from interface: IFeatureScaling

Apply the normalization.

Specified by:

Apply in interface IFeatureScaling

Parameters:

variables - Decision variables.

data - Data to be normalized.

Returns:

Normalized. data.

ApplyInPlace

public void ApplyInPlace(double[][] data)

Description copied from interface: IFeatureScaling

Apply the normalization in place of the original data.

Specified by:

ApplyInPlace in interface IFeatureScaling

Parameters:

data - Data to be normalized.

ApplyInPlace

public void ApplyInPlace(DecisionVariable[] variables,
                         double[][] data)

Description copied from interface: IFeatureScaling

Apply the normalization in place of the original data.

Specified by:

ApplyInPlace in interface IFeatureScaling

Parameters:

variables - Decision variables.

data - Data to be normalized.

Compute

public double[] Compute(double[] feature)

Description copied from interface: IFeatureScaling

Normalize the feature.

Specified by:

Compute in interface IFeatureScaling

Parameters:

feature - Feature to be normalized.

Returns:

Normalized feature.

Compute

public double[] Compute(DecisionVariable[] variables,
                        double[] feature)

Description copied from interface: IFeatureScaling

Normalize the feature.

Specified by:

Compute in interface IFeatureScaling

Parameters:

variables - Decision variables.

feature - Feature.

Returns:

Normalized feature.