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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)
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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()
|
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