org.apache.ctakes.temporal.ae.feature.selection

Class OddsRatioFeatureSelection<OUTCOME_T>

java.lang.Object

org.apache.ctakes.temporal.ae.feature.selection.FeatureSelection<OUTCOME_T>

org.apache.ctakes.temporal.ae.feature.selection.OddsRatioFeatureSelection<OUTCOME_T>

public class OddsRatioFeatureSelection<OUTCOME_T>
extends FeatureSelection<OUTCOME_T>

Selects features via Odds Ratio statistics between the features extracted from its sub-extractor and the outcome values they are paired with in classification instances.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
private static class	OddsRatioFeatureSelection.OddsRatioScorer<OUTCOME_T> Helper class for aggregating and computing mutual Odds Ratio statistics

Field Summary

Fields

Modifier and Type	Field and Description
private int	numFeatures
private OddsRatioFeatureSelection.OddsRatioScorer<OUTCOME_T>	oddsRatioFunction
private double	oddsRatioThreshold
private java.lang.String	positiveClass

Fields inherited from class org.apache.ctakes.temporal.ae.feature.selection.FeatureSelection

isTrained, selectedFeatureNames

Constructor Summary

Constructors

Constructor and Description
OddsRatioFeatureSelection(java.lang.String name)
OddsRatioFeatureSelection(java.lang.String name, double threshold)
OddsRatioFeatureSelection(java.lang.String name, double threshold, java.lang.String posiClas)

Method Summary

Methods

Modifier and Type	Method and Description
boolean	apply(Feature feature)
void	load(java.net.URI uri)
void	save(java.net.URI uri)
void	train(java.lang.Iterable<> instances)

Methods inherited from class org.apache.ctakes.temporal.ae.feature.selection.FeatureSelection

getFeatureName, transform, transform

Methods inherited from class java.lang.Object

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

Field Detail

oddsRatioThreshold

private double oddsRatioThreshold

numFeatures

private int numFeatures

positiveClass

private java.lang.String positiveClass

oddsRatioFunction

private OddsRatioFeatureSelection.OddsRatioScorer<OUTCOME_T> oddsRatioFunction

Constructor Detail

OddsRatioFeatureSelection

public OddsRatioFeatureSelection(java.lang.String name)

OddsRatioFeatureSelection

public OddsRatioFeatureSelection(java.lang.String name,
                         double threshold)

OddsRatioFeatureSelection

public OddsRatioFeatureSelection(java.lang.String name,
                         double threshold,
                         java.lang.String posiClas)

Parameters:

name: - feature selection method name

threshold: - percentage threshold to control how many features to keep

posiClas: - specify which class is the positive class

Method Detail

apply

public boolean apply(Feature feature)

Overrides:

apply in class FeatureSelection<OUTCOME_T>

train

public void train(java.lang.Iterable<> instances)

save

public void save(java.net.URI uri)
          throws java.io.IOException

Throws:

java.io.IOException

load

public void load(java.net.URI uri)
          throws java.io.IOException

Throws:

java.io.IOException