Catalano.MachineLearning.FeatureScaling

Class PowerNormalization

java.lang.Object

Catalano.MachineLearning.FeatureScaling.PowerNormalization

All Implemented Interfaces:

IFeatureScaling, java.io.Serializable

public class PowerNormalization
extends java.lang.Object
implements IFeatureScaling

Power normalization. f(x) = sign(x)|x|^p

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
PowerNormalization() Initializes a new instance of the PowerNormalization class.
PowerNormalization(double power) Initializes a new instance of the PowerNormalization 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.
double	getPower() Get power.
void	setPower(double power) Set power.

Methods inherited from class java.lang.Object

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

Constructor Detail

PowerNormalization

public PowerNormalization()

Initializes a new instance of the PowerNormalization class.

PowerNormalization

public PowerNormalization(double power)

Initializes a new instance of the PowerNormalization class.

Parameters:

power - Power.

Method Detail

getPower

public double getPower()

Get power.

Returns:

Power.

setPower

public void setPower(double power)

Set power.

Parameters:

power - Power.

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.