Catalano.MachineLearning.Performance

Class LeaveOneOutCrossValidation

java.lang.Object

Catalano.MachineLearning.Performance.LeaveOneOutCrossValidation

All Implemented Interfaces:

IRegressionValidation, IValidation

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

Leave One Out cross validation. Leave one out for validation and the rest for train.

Constructor Summary

Constructors

Constructor and Description
LeaveOneOutCrossValidation() Initializes a new instance of the LeaveOneOutCrossValidation class.

Method Summary

Modifier and Type	Method and Description
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.

Methods inherited from class java.lang.Object

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

Constructor Detail

LeaveOneOutCrossValidation

public LeaveOneOutCrossValidation()

Initializes a new instance of the LeaveOneOutCrossValidation class.

Method Detail

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.