com.sun.labs.minion.classification
Class WeightedFeatureSelector

java.lang.Object
  com.sun.labs.minion.classification.WeightedFeatureSelector

All Implemented Interfaces:

FeatureSelector

public class WeightedFeatureSelector
extends java.lang.Object
implements FeatureSelector

Selects the highest weighted features.

Field Summary

protected StopWords

stopWords Words to ignore during selection.

Constructor Summary

WeightedFeatureSelector()

Method Summary

FeatureClusterSet	select(FeatureClusterSet set, WeightingComponents wc, int numTrainingDocs, int numFeatures, SearchEngine engine) Selects the features from the documents in the training set.
void	setHumanSelected(HumanSelected hs) Provides a set of human selected terms that should be included or excluded from consideration during the feature selection process.
void	setStopWords(StopWords stopWords) Sets a stopword list: words that should be ignored when selecting features.

Methods inherited from class java.lang.Object

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

Field Detail

stopWords

protected StopWords stopWords

Words to ignore during selection.

Constructor Detail

WeightedFeatureSelector

public WeightedFeatureSelector()

Method Detail

setHumanSelected

public void setHumanSelected(HumanSelected hs)

Description copied from interface: FeatureSelector

Provides a set of human selected terms that should be included or excluded from consideration during the feature selection process.

Specified by:

setHumanSelected in interface FeatureSelector

select

public FeatureClusterSet select(FeatureClusterSet set,
                                WeightingComponents wc,
                                int numTrainingDocs,
                                int numFeatures,
                                SearchEngine engine)

Description copied from interface: FeatureSelector

Selects the features from the documents in the training set.

Specified by:

select in interface FeatureSelector

Parameters:

set - the set of feature clusters from the training set.

numFeatures - the number of features to select.

Returns:

a sorted set of the features

setStopWords

public void setStopWords(StopWords stopWords)

Description copied from interface: FeatureSelector

Sets a stopword list: words that should be ignored when selecting features.

Specified by:

setStopWords in interface FeatureSelector

Parameters:

stopWords - the set of words to ignore when performing feature selection.