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.