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

Class OddsRatioFeatureSelection<OUTCOME_T>

java.lang.Object

org.cleartk.ml.feature.transform.TrainableExtractor_ImplBase<OUTCOME_T>

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

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

All Implemented Interfaces:

com.google.common.base.Predicate<org.cleartk.ml.Feature>, org.cleartk.ml.feature.transform.TrainableExtractor<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.

Author:

Chen Lin

Field Summary

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

isTrained, selectedFeatureNames

Fields inherited from class org.cleartk.ml.feature.transform.TrainableExtractor_ImplBase

name

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method and Description
boolean	apply(org.cleartk.ml.Feature feature)
void	load(URI uri)
void	save(URI uri)
void	train(Iterable<org.cleartk.ml.Instance<OUTCOME_T>> instances)

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

getFeatureName, transform, transform

Methods inherited from class org.cleartk.ml.feature.transform.TrainableExtractor_ImplBase

isTransformable, selectTransformableFeatures

Methods inherited from class java.lang.Object

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

Methods inherited from interface com.google.common.base.Predicate

equals

Constructor Detail

OddsRatioFeatureSelection

public OddsRatioFeatureSelection(String name)

OddsRatioFeatureSelection

public OddsRatioFeatureSelection(String name,
                                 double threshold)

OddsRatioFeatureSelection

public OddsRatioFeatureSelection(String name,
                                 double threshold,
                                 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(org.cleartk.ml.Feature feature)

Specified by:

apply in interface com.google.common.base.Predicate<org.cleartk.ml.Feature>

Overrides:

apply in class FeatureSelection<OUTCOME_T>

train

public void train(Iterable<org.cleartk.ml.Instance<OUTCOME_T>> instances)

save

public void save(URI uri)
          throws IOException

Throws:

IOException

load

public void load(URI uri)
          throws IOException

Throws:

IOException