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

Class Summary

Class	Description
BinaryAlphaFeatureSelection<OUTCOME_T>	Selects features via binary Krippendorff's Alpha-Reliability between the a extracted feature and the outcome values they are paired with in classification instances.
Chi2FeatureSelection<OUTCOME_T>	Selects features via Chi-squared statistics between the features extracted from its sub-extractor and the outcome values they are paired with in classification instances.
FeatureSelection<OUTCOME_T>
MutualInformationFeatureSelection<OUTCOME_T>	Copyright (c) 2007-2012, Regents of the University of Colorado All rights reserved.
MutualInformationFeatureSelection.MutualInformationStats<OUTCOME_T>	Helper class for aggregating and computing mutual information statistics
OddsRatioFeatureSelection<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.
ZscoreNormalizationExtractor<OUTCOME_T,FOCUS_T extends org.apache.uima.jcas.tcas.Annotation>	Use z-score to normalize every numerical feature
ZscoreNormalizationExtractor.ZscoreRunningStat

Enum Summary

Enum	Description
MutualInformationFeatureSelection.CombineScoreMethod	Specifies how scores for each outcome should be combined/aggregated into a single score