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

Packages that use Optimizable.ByGradientValue

Package	Description
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.optimize	Classes for finding the maximum of a function.
cc.mallet.optimize.tests	JUnit tests for maximize.
cc.mallet.regression
cc.mallet.topics

Uses of Optimizable.ByGradientValue in cc.mallet.classify

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

Modifier and Type	Class	Description
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

Modifier and Type	Method	Description
Optimizable.ByGradientValue	MCMaxEntTrainer.getMaximizableTrainer(InstanceList ilist)
Optimizable.ByGradientValue	RankMaxEntTrainer.getMaximizableTrainer(InstanceList ilist)
Optimizable.ByGradientValue	MaxEntGERangeTrainer.getOptimizable(InstanceList trainingList)
Optimizable.ByGradientValue	MaxEntGETrainer.getOptimizable(InstanceList trainingList)

Uses of Optimizable.ByGradientValue in cc.mallet.fst

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

Modifier and Type	Class	Description
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

Modifier and Type	Method	Description
Optimizable.ByGradientValue[]	CRFTrainerByValueGradients.getOptimizableByGradientValueObjects()
Optimizable.ByGradientValue	CRFOptimizableByLabelLikelihood.Factory.newCRFOptimizable(CRF crf, InstanceList trainingData)

Constructors in cc.mallet.fst with parameters of type Optimizable.ByGradientValue

Constructor	Description
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

Modifier and Type	Class	Description
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

Modifier and Type	Method	Description
Optimizable.ByGradientValue	CRFTrainerByGE.getOptimizable(InstanceList unlabeled)

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

Modifier and Type	Method	Description
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

Modifier and Type	Class	Description
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.optimize

Subinterfaces of Optimizable.ByGradientValue in cc.mallet.optimize

Modifier and Type	Interface	Description
static interface	Optimizable.ByHessian

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

Modifier and Type	Class	Description
class	OptimizableCollection.ByGradientValue

Methods in cc.mallet.optimize with parameters of type Optimizable.ByGradientValue

Modifier and Type	Method	Description
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

Constructor	Description
BackTrackLineSearch(Optimizable.ByGradientValue optimizable)
ByGradientValue(Optimizable.ByGradientValue... ops)
ConjugateGradient(Optimizable.ByGradientValue function)
ConjugateGradient(Optimizable.ByGradientValue function, double initialStepSize)
GradientAscent(Optimizable.ByGradientValue function)
GradientBracketLineOptimizer(Optimizable.ByGradientValue function)
LimitedMemoryBFGS(Optimizable.ByGradientValue function)
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

Modifier and Type	Method	Description
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.regression

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

Modifier and Type	Class	Description
class	LinearRegressionTrainer

Uses of Optimizable.ByGradientValue in cc.mallet.topics

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

Modifier and Type	Class	Description
class	DMROptimizable