Package unifeat.featureSelection.embedded

Class EmbeddedApproach

java.lang.Object

unifeat.featureSelection.FeatureSelection

unifeat.featureSelection.embedded.EmbeddedApproach

Direct Known Subclasses:

SVMBasedMethods, TreeBasedMethods

public abstract class EmbeddedApproach
extends FeatureSelection

The abstract class contains the main methods and fields that are used in all embedded-based feature selection methods.

Author:

Sina Tabakhi

See Also:

• FeatureSelection

Field Summary

Fields

Modifier and Type	Field	Description
protected String[]	classLabel
protected String[]	nameFeatures
protected final String	PROJECT_PATH

Fields inherited from class unifeat.featureSelection.FeatureSelection

numClass, numFeatures, numSelectedFeature, selectedFeatureSubset, trainSet

Constructor Summary

Constructors

Constructor	Description
EmbeddedApproach(String path)	Initializes the parameters

Method Summary

Modifier and Type	Method	Description
void	loadDataSet(double[][] data, int numFeat, int numClasses)	Loads the dataset
void	loadDataSet(DatasetInfo ob)	Loads the dataset
static EmbeddedApproach	newMethod(EmbeddedType type, Object... arguments)	This method creates new object from one of the classes that has been inherited from the EmbeddedApproach class according to type of the feature selection method.
protected int[]	originalFeatureSet()	This method creates an array of indices of features and returns it.

Methods inherited from class unifeat.featureSelection.FeatureSelection

evaluateFeatures, getSelectedFeatureSubset, setNumSelectedFeature, validate

Methods inherited from class java.lang.Object

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

Field Details

nameFeatures

protected String[] nameFeatures

classLabel

protected String[] classLabel

PROJECT_PATH

protected final String PROJECT_PATH

Constructor Details

EmbeddedApproach

public EmbeddedApproach(String path)

Initializes the parameters

Parameters:

path - the path of the project

Method Details

loadDataSet

public void loadDataSet(DatasetInfo ob)

Loads the dataset

Overrides:

loadDataSet in class FeatureSelection

Parameters:

ob - an object of the DatasetInfo class

loadDataSet

public void loadDataSet(double[][] data,
 int numFeat,
 int numClasses)

Loads the dataset

Overrides:

loadDataSet in class FeatureSelection

Parameters:

data - the input dataset values

numFeat - the number of features in the dataset

numClasses - the number of classes in the dataset

originalFeatureSet

protected int[] originalFeatureSet()

This method creates an array of indices of features and returns it.

Returns:

an array of features indices

newMethod

public static EmbeddedApproach newMethod(EmbeddedType type,
 Object... arguments)

This method creates new object from one of the classes that has been inherited from the EmbeddedApproach class according to type of the feature selection method.

Parameters:

type - type of the embedded feature selection method

arguments - a list of arguments that is applied in the feature selection method

Returns:

the created object that has been inherited from the EmbeddedApproach class