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.fst.semi_supervised
cc.mallet.fst.semi_supervised.pr
cc.mallet.grmm.learning
cc.mallet.grmm.util
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
class	PRAuxClassifierOptimizable Optimizable for training auxiliary model (q) for E-step/I-projection in PR training.

Methods in cc.mallet.classify that return Optimizable.ByGradientValue

Optimizable.ByGradientValue	RankMaxEntTrainer.getMaximizableTrainer(InstanceList ilist)
Optimizable.ByGradientValue	MCMaxEntTrainer.getMaximizableTrainer(InstanceList ilist)
Optimizable.ByGradientValue	MaxEntGETrainer.getOptimizable(InstanceList trainingList)
Optimizable.ByGradientValue	MaxEntGERangeTrainer.getOptimizable(InstanceList trainingList)

Uses of Optimizable.ByGradientValue in cc.mallet.fst

Classes in cc.mallet.fst that implement Optimizable.ByGradientValue

class	CRFOptimizableByGradientValues A CRF objective function that is the sum of multiple objective functions 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

CRFOptimizableByGradientValues(CRF crf, Optimizable.ByGradientValue[] opts)

CRFTrainerByValueGradients(CRF crf, Optimizable.ByGradientValue[] optimizableByValueGradientObjects)

Uses of Optimizable.ByGradientValue in cc.mallet.fst.semi_supervised

Classes in cc.mallet.fst.semi_supervised that implement Optimizable.ByGradientValue

class	CRFOptimizableByEntropyRegularization A CRF objective function that is the entropy of the CRF's predictions on unlabeled data.
class	CRFOptimizableByGE Optimizable for CRF using Generalized Expectation constraints that consider either a single label or a pair of labels of a linear chain CRF.

Methods in cc.mallet.fst.semi_supervised that return Optimizable.ByGradientValue

Optimizable.ByGradientValue

CRFTrainerByGE.getOptimizable(InstanceList unlabeled)

Methods in cc.mallet.fst.semi_supervised with parameters of type Optimizable.ByGradientValue

Optimizer

CRFTrainerByGE.getOptimizer(Optimizable.ByGradientValue optimizable)

Uses of Optimizable.ByGradientValue in cc.mallet.fst.semi_supervised.pr

Classes in cc.mallet.fst.semi_supervised.pr that implement Optimizable.ByGradientValue

class	ConstraintsOptimizableByPR Optimizable for E-step/I-projection in Posterior Regularization (PR).
class	CRFOptimizableByKL M-step/M-projection for PR.

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

Classes in cc.mallet.grmm.learning that implement Optimizable.ByGradientValue

class	ACRF.MaximizableACRF
static class	PiecewiseACRFTrainer.Maxable
class	PseudolikelihoodACRFTrainer.Maxable
class	PwplACRFTrainer.Maxable

Methods in cc.mallet.grmm.learning that return Optimizable.ByGradientValue

Optimizable.ByGradientValue	PwplACRFTrainer.createOptimizable(ACRF acrf, InstanceList training)
Optimizable.ByGradientValue	PseudolikelihoodACRFTrainer.createOptimizable(ACRF acrf, InstanceList training)
Optimizable.ByGradientValue	PiecewiseACRFTrainer.createOptimizable(ACRF acrf, InstanceList training)
protected Optimizable.ByGradientValue	DefaultAcrfTrainer.createOptimizable(ACRF acrf, InstanceList trainingList)
Optimizable.ByGradientValue	ACRF.getMaximizable(InstanceList ilst)

Methods in cc.mallet.grmm.learning with parameters of type Optimizable.ByGradientValue

boolean	PwplACRFTrainer.train(ACRF acrf, InstanceList trainingList, InstanceList validationList, InstanceList testSet, ACRFEvaluator eval, int numIter, Optimizable.ByGradientValue macrf)
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.grmm.util

Classes in cc.mallet.grmm.util that implement Optimizable.ByGradientValue

static class

CachingOptimizable.ByGradient

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