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Packages that use Optimizable | |
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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 in cc.mallet.classify |
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Classes in cc.mallet.classify that implement Optimizable | |
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class |
MaxEntOptimizableByGE
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class |
MaxEntOptimizableByLabelDistribution
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class |
MaxEntOptimizableByLabelLikelihood
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class |
PRAuxClassifierOptimizable
Optimizable for training auxiliary model (q) for E-step/I-projection in PR training. |
Methods in cc.mallet.classify that return Optimizable | |
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Optimizable |
MaxEntTrainer.getOptimizable()
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Uses of Optimizable in cc.mallet.fst |
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Classes in cc.mallet.fst that implement Optimizable | |
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class |
CRFOptimizableByBatchLabelLikelihood
Implements label likelihood gradient computations for batches of data, can be easily parallelized. |
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. |
Uses of Optimizable in cc.mallet.fst.semi_supervised |
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Classes in cc.mallet.fst.semi_supervised that implement Optimizable | |
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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. |
Uses of Optimizable in cc.mallet.fst.semi_supervised.pr |
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Classes in cc.mallet.fst.semi_supervised.pr that implement Optimizable | |
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class |
ConstraintsOptimizableByPR
Optimizable for E-step/I-projection in Posterior Regularization (PR). |
class |
CRFOptimizableByKL
M-step/M-projection for PR. |
Uses of Optimizable in cc.mallet.grmm.learning |
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Classes in cc.mallet.grmm.learning that implement Optimizable | |
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class |
ACRF.MaximizableACRF
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static class |
PiecewiseACRFTrainer.Maxable
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class |
PseudolikelihoodACRFTrainer.Maxable
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class |
PwplACRFTrainer.Maxable
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Uses of Optimizable in cc.mallet.grmm.util |
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Classes in cc.mallet.grmm.util that implement Optimizable | |
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static class |
CachingOptimizable.ByBatchGradient
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static class |
CachingOptimizable.ByGradient
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Uses of Optimizable in cc.mallet.optimize |
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Subinterfaces of Optimizable in cc.mallet.optimize | |
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static interface |
Optimizable.ByBatchGradient
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static interface |
Optimizable.ByCombiningBatchGradient
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static interface |
Optimizable.ByGISUpdate
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static interface |
Optimizable.ByGradient
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static interface |
Optimizable.ByGradientValue
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static interface |
Optimizable.ByHessian
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static interface |
Optimizable.ByValue
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static interface |
Optimizable.ByVotedPerceptron
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Classes in cc.mallet.optimize that implement Optimizable | |
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class |
OptimizableCollection.ByGradientValue
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Methods in cc.mallet.optimize that return Optimizable | |
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Optimizable |
OrthantWiseLimitedMemoryBFGS.getOptimizable()
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Optimizable |
Optimizer.getOptimizable()
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Optimizable |
LimitedMemoryBFGS.getOptimizable()
|
Optimizable |
GradientAscent.getOptimizable()
|
Optimizable |
ConjugateGradient.getOptimizable()
|
Optimizable |
AGIS.getOptimizable()
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Uses of Optimizable in cc.mallet.optimize.tests |
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Methods in cc.mallet.optimize.tests with parameters of type Optimizable | |
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static boolean |
TestOptimizable.testGetSetParameters(Optimizable maxable)
Tests that parameters set by setParameters can be retrieved by getParameters. |
Uses of Optimizable in cc.mallet.topics |
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Classes in cc.mallet.topics that implement Optimizable | |
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class |
DMROptimizable
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