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## Uses of Class
cc.mallet.fst.CRF.Factors

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

Uses of CRF.Factors in cc.mallet.fst

Fields in cc.mallet.fst declared as CRF.Factors
`protected CRF.Factors` | `CRFTrainerByStochasticGradient.constraints`
`protected CRF.Factors` | `CRFOptimizableByLabelLikelihood.constraints`
`protected CRF.Factors` | `CRFOptimizableByBatchLabelLikelihood.constraints`
`protected CRF.Factors` | `CRFTrainerByStochasticGradient.expectations`
`protected CRF.Factors` | `CRFOptimizableByLabelLikelihood.expectations`
`protected CRF.Factors` | `CRF.parameters`

Fields in cc.mallet.fst with type parameters of type CRF.Factors
`protected java.util.List<CRF.Factors>` | `CRFOptimizableByBatchLabelLikelihood.expectations`

Methods in cc.mallet.fst that return CRF.Factors
`CRF.Factors` | `CRF.getParameters()`

Methods in cc.mallet.fst with parameters of type CRF.Factors
`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
`CRF.Factors(CRF.Factors other)` Construct new Factors by mimicking the structure of the other one, but with zero values.
`CRF.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
`protected CRF.Factors` | `CRFOptimizableByEntropyRegularization.expectations`
`protected CRF.Factors` | `CRFOptimizableByGECriteria.gradient`

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