Catalano.MachineLearning.Performance

Class HoldoutValidation

java.lang.Object

Catalano.MachineLearning.Performance.HoldoutValidation

All Implemented Interfaces:

IRegressionValidation, IValidation

public class HoldoutValidation
extends java.lang.Object
implements IValidation, IRegressionValidation

Holdout Validation. Split percentage for training and the rest for the validation.

Constructor Summary

Constructors

Constructor and Description
HoldoutValidation() Initializes a new instance of the HoldoutValidation class.
HoldoutValidation(float percentage) Initializes a new instance of the HoldoutValidation class.

Method Summary

Modifier and Type	Method and Description
float	getTrainPercentage() Get Train percentage.
double	Run(IClassifier classifier, DatasetClassification dataset) Compute validation.
double	Run(IClassifier classifier, double[][] data, int[] labels) Compute validation.
RegressionMeasure	Run(IRegression regression, DatasetRegression dataset) Run the validation.
RegressionMeasure	Run(IRegression regression, double[][] input, double[] output) Run the validation.
void	setTrainPercetange(float percentage) Set Train percentage.

Methods inherited from class java.lang.Object

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

Constructor Detail

HoldoutValidation

public HoldoutValidation()

Initializes a new instance of the HoldoutValidation class.

HoldoutValidation

public HoldoutValidation(float percentage)

Initializes a new instance of the HoldoutValidation class.

Parameters:

percentage - Train percentage.

Method Detail

getTrainPercentage

public float getTrainPercentage()

Get Train percentage.

Returns:

Train percentage.

setTrainPercetange

public void setTrainPercetange(float percentage)

Set Train percentage.

Parameters:

percentage - Train percentage.

Run

public double Run(IClassifier classifier,
                  DatasetClassification dataset)

Description copied from interface: IValidation

Compute validation.

Specified by:

Run in interface IValidation

Parameters:

classifier - Classifier.

dataset - Dataset.

Returns:

Correctly classified rate.

Run

public double Run(IClassifier classifier,
                  double[][] data,
                  int[] labels)

Description copied from interface: IValidation

Compute validation.

Specified by:

Run in interface IValidation

Parameters:

classifier - Classifier.

data - Data.

labels - Labels.

Returns:

Correctly classified rate.

Run

public RegressionMeasure Run(IRegression regression,
                             DatasetRegression dataset)

Description copied from interface: IRegressionValidation

Run the validation.

Specified by:

Run in interface IRegressionValidation

Parameters:

regression - Regression.

dataset - Dataset.

Returns:

Regression measure.

Run

public RegressionMeasure Run(IRegression regression,
                             double[][] input,
                             double[] output)

Description copied from interface: IRegressionValidation

Run the validation.

Specified by:

Run in interface IRegressionValidation

Parameters:

regression - Regression.

input - Input.

output - Output.

Returns:

Regression measure.