Catalano.MachineLearning.FeatureSelection

Class RandomForestFeatureSelection

java.lang.Object

Catalano.MachineLearning.FeatureSelection.RandomForestFeatureSelection

All Implemented Interfaces:

ISupervisionedFeatureSelection

public class RandomForestFeatureSelection
extends java.lang.Object
implements ISupervisionedFeatureSelection

Constructor Summary

Constructors

Constructor and Description
RandomForestFeatureSelection()

Method Summary

Modifier and Type	Method and Description
void	Compute(DatasetClassification dataset) Compute the feature selection.
void	Compute(double[][] input, int[] labels) Compute the feature selection.
int[]	getFeatureIndex() Get the feature index.
double[]	getRank() Get the rank of the features.

Methods inherited from class java.lang.Object

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

Constructor Detail

RandomForestFeatureSelection

public RandomForestFeatureSelection()

Method Detail

Compute

public void Compute(DatasetClassification dataset)

Description copied from interface: ISupervisionedFeatureSelection

Compute the feature selection.

Specified by:

Compute in interface ISupervisionedFeatureSelection

Parameters:

dataset - Dataset.

Compute

public void Compute(double[][] input,
                    int[] labels)

Description copied from interface: ISupervisionedFeatureSelection

Compute the feature selection.

Specified by:

Compute in interface ISupervisionedFeatureSelection

Parameters:

input - Input.

labels - Labels.

getFeatureIndex

public int[] getFeatureIndex()

Description copied from interface: ISupervisionedFeatureSelection

Get the feature index.

Specified by:

getFeatureIndex in interface ISupervisionedFeatureSelection

Returns:

Feature index.

getRank

public double[] getRank()

Description copied from interface: ISupervisionedFeatureSelection

Get the rank of the features.

Specified by:

getRank in interface ISupervisionedFeatureSelection

Returns: