Uses of Class
edu.umass.cs.mallet.base.fst.CRF4

Packages that use CRF4

Package	Description
edu.umass.cs.mallet.base.extract
edu.umass.cs.mallet.base.fst

Uses of CRF4 in edu.umass.cs.mallet.base.extract

Methods in edu.umass.cs.mallet.base.extract that return CRF4

Modifier and Type	Method and Description
CRF4	CRFExtractor.getCrf()

Constructors in edu.umass.cs.mallet.base.extract with parameters of type CRF4

Constructor and Description
CRFExtractor(CRF4 crf)
CRFExtractor(CRF4 crf, Pipe tokpipe)
CRFExtractor(CRF4 crf, Pipe tokpipe, TokenizationFilter filter)
CRFExtractor(CRF4 crf, Pipe tokpipe, TokenizationFilter filter, String backgroundTag)

Uses of CRF4 in edu.umass.cs.mallet.base.fst

Subclasses of CRF4 in edu.umass.cs.mallet.base.fst

Modifier and Type	Class and Description
class	CRF_PL A CRF trained by pseudolikelihood.
class	MEMM

Methods in edu.umass.cs.mallet.base.fst that return CRF4

Modifier and Type	Method and Description
static CRF4	SimpleTagger.train(InstanceList training, InstanceList testing, TransducerEvaluator eval, int[] orders, String defaultLabel, String forbidden, String allowed, boolean connected, int iterations, double var, CRF4 crf) Create and train a CRF model from the given training data, optionally testing it on the given test data.

Methods in edu.umass.cs.mallet.base.fst with parameters of type CRF4

Modifier and Type	Method and Description
protected CRF4.State	MEMM.newState(String name, int index, double initialCost, double finalCost, String[] destinationNames, String[] labelNames, String[][] weightNames, CRF4 crf)
protected CRF4.State	CRF_PL.newState(String name, int index, double initialCost, double finalCost, String[] destinationNames, String[] labelNames, String[][] weightNames, CRF4 crf)
protected CRF4.State	CRF4.newState(String name, int index, double initialCost, double finalCost, String[] destinationNames, String[] labelNames, String[][] weightNames, CRF4 crf)
static CRF4	SimpleTagger.train(InstanceList training, InstanceList testing, TransducerEvaluator eval, int[] orders, String defaultLabel, String forbidden, String allowed, boolean connected, int iterations, double var, CRF4 crf) Create and train a CRF model from the given training data, optionally testing it on the given test data.

Constructors in edu.umass.cs.mallet.base.fst with parameters of type CRF4

Constructor and Description
CRF_PL(CRF4 crf)
CRF4(CRF4 other) Create a CRF whose states and weights are a copy of noes from another CRF.
MaximizableCRF(InstanceList ilist, CRF4 crf)
MEMM(CRF4 crf)
State(String name, int index, double initialCost, double finalCost, String[] destinationNames, String[] labelNames, String[][] weightNames, CRF4 crf)
State(String name, int index, double initialCost, double finalCost, String[] destinationNames, String[] labelNames, String[][] weightNames, CRF4 crf)
State(String name, int index, double initialCost, double finalCost, String[] destinationNames, String[] labelNames, String[][] weightNames, CRF4 crf)
TransitionIterator(CRF_PL.State source, FeatureVectorSequence inputSeq, int inputPosition, String output, CRF4 memm)
TransitionIterator(CRF_PL.State source, FeatureVector fv, String output, CRF4 memm)
TransitionIterator(CRF4.State source, FeatureVectorSequence inputSeq, int inputPosition, String output, CRF4 crf)
TransitionIterator(CRF4.State source, FeatureVector fv, String output, CRF4 crf)
TransitionIterator(MEMM.State source, FeatureVectorSequence inputSeq, int inputPosition, String output, CRF4 memm)
TransitionIterator(MEMM.State source, FeatureVector fv, String output, CRF4 memm)