Uses of Interface
iitb.CRF.DataSequence

Packages that use DataSequence
iitb.CRF Provides an implementation of Conditional Random Fields (CRF) for use in sequential classification tasks. 
iitb.MaxentClassifier This package shows how to use the CRF package iitb.CRF for basic maxent classification 
iitb.Model This package has a wealth of classes that will make it easy for you to implement the FeatureGenerator interface required when using CRFs. 
iitb.Segment This package shows how to use the iitb.CRF package for sequence classification tasks 
 

Uses of DataSequence in iitb.CRF
 

Methods in iitb.CRF that return DataSequence
 DataSequence DataIter.next()
           
 

Methods in iitb.CRF with parameters of type DataSequence
 void NestedCRF.apply(DataSequence dataSeq)
           
 void FeatureGeneratorNested.startScanFeaturesAt(DataSequence data, int prevPos, int pos)
           
 void FeatureGenerator.startScanFeaturesAt(DataSequence data, int pos)
           
 void CRF.apply(DataSequence dataSeq)
           
 

Uses of DataSequence in iitb.MaxentClassifier
 

Methods in iitb.MaxentClassifier that return DataSequence
 DataSequence DataSet.next()
           
 

Methods in iitb.MaxentClassifier with parameters of type DataSequence
 void FeatureGenRecord.startScanFeaturesAt(DataSequence data, int pos)
           
 

Uses of DataSequence in iitb.Model
 

Methods in iitb.Model with parameters of type DataSequence
 boolean StartFeatures.startScanFeaturesAt(DataSequence data, int prevPos, int pos)
           
 void NestedModel.stateMappings(DataSequence data, int len, int start)
           
 void NestedModel.stateMappings(DataSequence data)
           
 void GenericModel.stateMappings(DataSequence data)
           
 void GenericModel.stateMappings(DataSequence data, int len, int start)
           
 void FeatureGenImpl.startScanFeaturesAt(DataSequence d, int p)
           
 void FeatureGenImpl.mapStatesToLabels(DataSequence data)
           
 boolean EndFeatures.startScanFeaturesAt(DataSequence data, int prevPos, int pos)
           
 boolean FeatureTypes.startScanFeaturesAt(DataSequence data, int pos)
           
abstract  boolean FeatureTypes.startScanFeaturesAt(DataSequence data, int prevPos, int pos)
           
 boolean EdgeFeatures.startScanFeaturesAt(DataSequence data, int prevPos, int pos)
           
 void Model.stateMappings(DataSequence data)
           
 void Model.stateMappings(DataSequence data, int len, int start)
           
 void CompleteModel.stateMappings(DataSequence data)
           
 void CompleteModel.stateMappings(DataSequence data, int len, int start)
           
 

Uses of DataSequence in iitb.Segment
 

Methods in iitb.Segment that return DataSequence
 DataSequence TrainData.next()
           
 



Submit a bug or feature.