Uses of Class cc.mallet.fst.CRF.Factors (Mallet 2 API)

Packages that use CRF.Factors
Package	Description
cc.mallet.fst	Transducers, including Conditional Random Fields (CRFs).
cc.mallet.fst.semi_supervised
cc.mallet.fst.semi_supervised.pr

Uses of CRF.Factors in cc.mallet.fst

Fields in cc.mallet.fst declared as CRF.Factors
Modifier and Type	Field	Description
`protected CRF.Factors`	CRFOptimizableByBatchLabelLikelihood.`constraints`
`protected CRF.Factors`	CRFOptimizableByLabelLikelihood.`constraints`
`protected CRF.Factors`	CRFTrainerByStochasticGradient.`constraints`
`protected CRF.Factors`	CRFOptimizableByLabelLikelihood.`expectations`
`protected CRF.Factors`	CRFTrainerByStochasticGradient.`expectations`
`protected CRF.Factors`	CRF.`parameters`

Fields in cc.mallet.fst with type parameters of type CRF.Factors
Modifier and Type	Field	Description
`protected java.util.List<CRF.Factors>`	CRFOptimizableByBatchLabelLikelihood.`expectations`

Methods in cc.mallet.fst that return CRF.Factors
Modifier and Type	Method	Description
`CRF.Factors`	CRF.`getParameters()`

Methods in cc.mallet.fst with parameters of type CRF.Factors
Modifier and Type	Method	Description
`void`	CRF.Factors.`plusEquals(CRF.Factors other, double factor)`
`void`	CRF.Factors.`plusEquals(CRF.Factors other, double factor, boolean obeyWeightsFrozen)`
`void`	CRF.Factors.`plusEqualsGaussianPriorGradient(CRF.Factors other, double variance)`
`void`	CRF.Factors.`plusEqualsHyperbolicPriorGradient(CRF.Factors other, double slope, double sharpness)`
`boolean`	CRF.Factors.`structureMatches(CRF.Factors other)`

Constructors in cc.mallet.fst with parameters of type CRF.Factors
Constructor	Description
`Factors(CRF.Factors other)`	Construct new Factors by mimicking the structure of the other one, but with zero values.
`Factors(CRF.Factors other, boolean cloneAlphabet)`	Construct new Factors by copying the other one.

Uses of CRF.Factors in cc.mallet.fst.semi_supervised

Fields in cc.mallet.fst.semi_supervised declared as CRF.Factors
Modifier and Type	Field	Description
`protected CRF.Factors`	CRFOptimizableByEntropyRegularization.`expectations`

Constructors in cc.mallet.fst.semi_supervised with parameters of type CRF.Factors
Constructor	Description
`GELattice(FeatureVectorSequence fvs, double[][] gammas, double[][][] xis, Transducer transducer, int[][] reverseTrans, int[][] reverseTransIndices, CRF.Factors gradient, java.util.ArrayList<GEConstraint> constraints, boolean check)`

Uses of CRF.Factors in cc.mallet.fst.semi_supervised.pr

Fields in cc.mallet.fst.semi_supervised.pr declared as CRF.Factors
Modifier and Type	Field	Description
`protected CRF.Factors`	CRFOptimizableByKL.`constraints`
`protected CRF.Factors`	CRFOptimizableByKL.`expectations`