Uses of Interface
cc.mallet.optimize.Optimizable.ByGradientValue

Packages that use Optimizable.ByGradientValue
cc.mallet.classify Classes for training and classifying instances. 
cc.mallet.fst Transducers, including Conditional Random Fields (CRFs). 
cc.mallet.grmm.learning   
cc.mallet.optimize Classes for finding the maximum of a function. 
cc.mallet.optimize.tests JUnit tests for maximize. 
cc.mallet.topics   
 

Uses of Optimizable.ByGradientValue in cc.mallet.classify
 

Classes in cc.mallet.classify that implement Optimizable.ByGradientValue
 class MaxEntOptimizableByGE
           
 class MaxEntOptimizableByLabelDistribution
           
 class MaxEntOptimizableByLabelLikelihood
           
 

Methods in cc.mallet.classify that return Optimizable.ByGradientValue
 Optimizable.ByGradientValue RankMaxEntTrainer.getMaximizableTrainer(InstanceList ilist)
           
 Optimizable.ByGradientValue MCMaxEntTrainer.getMaximizableTrainer(InstanceList ilist)
           
 

Uses of Optimizable.ByGradientValue in cc.mallet.fst
 

Classes in cc.mallet.fst that implement Optimizable.ByGradientValue
 class CRFOptimizableByLabelLikelihood
          An objective function for CRFs that is the label likelihood plus a Gaussian or hyperbolic prior on parameters.
 class CRFTrainerByValueGradients.OptimizableCRF
          An optimizable CRF that contains a collection of objective functions.
 class MEMMTrainer.MEMMOptimizableByLabelLikelihood
          Represents the terms in the objective function.
 class ThreadedOptimizable
          An adaptor for optimizables based on batch values/gradients.
 

Methods in cc.mallet.fst that return Optimizable.ByGradientValue
 Optimizable.ByGradientValue[] CRFTrainerByValueGradients.getOptimizableByGradientValueObjects()
           
 Optimizable.ByGradientValue CRFOptimizableByLabelLikelihood.Factory.newCRFOptimizable(CRF crf, InstanceList trainingData)
           
 

Constructors in cc.mallet.fst with parameters of type Optimizable.ByGradientValue
CRFTrainerByValueGradients(CRF crf, Optimizable.ByGradientValue[] optimizableByValueGradientObjects)
           
 

Uses of Optimizable.ByGradientValue in cc.mallet.grmm.learning
 

Classes in cc.mallet.grmm.learning that implement Optimizable.ByGradientValue
 class ACRF.MaximizableACRF
           
 

Methods in cc.mallet.grmm.learning that return Optimizable.ByGradientValue
protected  Optimizable.ByGradientValue DefaultAcrfTrainer.createMaximizable(ACRF acrf, InstanceList trainingList)
           
 Optimizable.ByGradientValue ACRF.getMaximizable(InstanceList ilst)
           
 

Methods in cc.mallet.grmm.learning with parameters of type Optimizable.ByGradientValue
 boolean DefaultAcrfTrainer.train(ACRF acrf, InstanceList trainingList, InstanceList validationList, InstanceList testSet, ACRFEvaluator eval, int numIter, Optimizable.ByGradientValue macrf)
           
 boolean ACRFTrainer.train(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, ACRFEvaluator eval, int numIter, Optimizable.ByGradientValue macrf)
           
 

Uses of Optimizable.ByGradientValue in cc.mallet.optimize
 

Subinterfaces of Optimizable.ByGradientValue in cc.mallet.optimize
static interface Optimizable.ByHessian
           
 

Classes in cc.mallet.optimize that implement Optimizable.ByGradientValue
 class OptimizableCollection.ByGradientValue
           
 

Methods in cc.mallet.optimize with parameters of type Optimizable.ByGradientValue
 boolean OptimizerEvaluator.ByGradient.evaluate(Optimizable.ByGradientValue maxable, int iter)
          Performs some operation at the end of each iteration of a maximizer.
 

Constructors in cc.mallet.optimize with parameters of type Optimizable.ByGradientValue
BackTrackLineSearch(Optimizable.ByGradientValue optimizable)
           
ConjugateGradient(Optimizable.ByGradientValue function)
           
ConjugateGradient(Optimizable.ByGradientValue function, double initialStepSize)
           
GradientAscent(Optimizable.ByGradientValue function)
           
GradientBracketLineOptimizer(Optimizable.ByGradientValue function)
           
LimitedMemoryBFGS(Optimizable.ByGradientValue function)
           
OptimizableCollection.ByGradientValue(Optimizable.ByGradientValue... ops)
           
OrthantWiseLimitedMemoryBFGS(Optimizable.ByGradientValue function)
           
OrthantWiseLimitedMemoryBFGS(Optimizable.ByGradientValue function, double l1wt)
           
 

Uses of Optimizable.ByGradientValue in cc.mallet.optimize.tests
 

Methods in cc.mallet.optimize.tests with parameters of type Optimizable.ByGradientValue
static boolean TestOptimizable.testValueAndGradient(Optimizable.ByGradientValue maxable)
          Tests that getValue and getValueGradient are consistent.
static double TestOptimizable.testValueAndGradientCurrentParameters(Optimizable.ByGradientValue maxable)
          Tests that the value and gradient function are consistent at the current parameters.
static double TestOptimizable.testValueAndGradientInDirection(Optimizable.ByGradientValue maxable, double[] direction)
           
static boolean TestOptimizable.testValueAndGradientRandomParameters(Optimizable.ByGradientValue maxable, java.util.Random r)
          Tests that getValue and getValueGradient are consistent at a random parameter setting.
 

Uses of Optimizable.ByGradientValue in cc.mallet.topics
 

Classes in cc.mallet.topics that implement Optimizable.ByGradientValue
 class DMROptimizable