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## Uses of Interface
cc.mallet.optimize.Optimizable.ByCombiningBatchGradient

Packages that use Optimizable.ByCombiningBatchGradient
cc.mallet.fst | Transducers, including Conditional Random Fields (CRFs).

Uses of Optimizable.ByCombiningBatchGradient in cc.mallet.fst

Classes in cc.mallet.fst that implement Optimizable.ByCombiningBatchGradient
`class` | `CRFOptimizableByBatchLabelLikelihood` Implements label likelihood gradient computations for batches of data, can be easily parallelized.

Fields in cc.mallet.fst declared as Optimizable.ByCombiningBatchGradient
`protected Optimizable.ByCombiningBatchGradient` | `ThreadedOptimizable.optimizable` optimizable to be parallelized

Methods in cc.mallet.fst that return Optimizable.ByCombiningBatchGradient
`Optimizable.ByCombiningBatchGradient` | `ThreadedOptimizable.getOptimizable()`
`Optimizable.ByCombiningBatchGradient` | `CRFOptimizableByBatchLabelLikelihood.Factory.newCRFOptimizable(CRF crf, InstanceList trainingData, int numBatches)`

Constructors in cc.mallet.fst with parameters of type Optimizable.ByCombiningBatchGradient
`ThreadedOptimizable(Optimizable.ByCombiningBatchGradient optimizable, InstanceList trainingSet, int numFactors, CacheStaleIndicator cacheIndicator)` Initializes the optimizable and starts new threads.

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