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Packages that use Optimizer | |
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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.optimize | Classes for finding the maximum of a function. |
Uses of Optimizer in cc.mallet.classify |
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Methods in cc.mallet.classify that return Optimizer | |
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Optimizer |
MaxEntTrainer.getOptimizer()
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Optimizer |
MaxEntPRTrainer.getOptimizer()
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Optimizer |
MaxEntL1Trainer.getOptimizer()
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Optimizer |
MaxEntGETrainer.getOptimizer()
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Optimizer |
MaxEntGERangeTrainer.getOptimizer()
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Optimizer |
ClassifierTrainer.ByOptimization.getOptimizer()
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Optimizer |
MaxEntTrainer.getOptimizer(InstanceList trainingSet)
This method is called by the train method. |
Optimizer |
MaxEntL1Trainer.getOptimizer(InstanceList trainingSet)
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Methods in cc.mallet.classify with parameters of type Optimizer | |
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void |
MaxEntGETrainer.setOptimizer(Optimizer opt)
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void |
MaxEntGERangeTrainer.setOptimizer(Optimizer opt)
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Uses of Optimizer in cc.mallet.fst |
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Methods in cc.mallet.fst that return Optimizer | |
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Optimizer |
TransducerTrainer.ByOptimization.getOptimizer()
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Optimizer |
CRFTrainerByValueGradients.getOptimizer()
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Optimizer |
CRFTrainerByThreadedLabelLikelihood.getOptimizer()
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Optimizer |
CRFTrainerByLabelLikelihood.getOptimizer()
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Optimizer |
CRFTrainerByValueGradients.getOptimizer(InstanceList trainingSet)
Returns a L-BFGS optimizer, creating if one doesn't exist. |
Optimizer |
CRFTrainerByThreadedLabelLikelihood.getOptimizer(InstanceList trainingSet)
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Optimizer |
CRFTrainerByLabelLikelihood.getOptimizer(InstanceList trainingSet)
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Optimizer |
CRFTrainerByL1LabelLikelihood.getOptimizer(InstanceList trainingSet)
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Uses of Optimizer in cc.mallet.fst.semi_supervised |
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Methods in cc.mallet.fst.semi_supervised that return Optimizer | |
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Optimizer |
CRFTrainerByEntropyRegularization.getOptimizer()
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Optimizer |
CRFTrainerByGE.getOptimizer(Optimizable.ByGradientValue optimizable)
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Methods in cc.mallet.fst.semi_supervised with parameters of type Optimizer | |
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void |
CRFTrainerByGE.setOptimizable(Optimizer optimizer)
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Uses of Optimizer in cc.mallet.fst.semi_supervised.pr |
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Methods in cc.mallet.fst.semi_supervised.pr that return Optimizer | |
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Optimizer |
CRFTrainerByPR.getOptimizer()
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Uses of Optimizer in cc.mallet.grmm.learning |
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Methods in cc.mallet.grmm.learning that return Optimizer | |
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Optimizer |
DefaultAcrfTrainer.getMaxer()
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Methods in cc.mallet.grmm.learning with parameters of type Optimizer | |
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void |
DefaultAcrfTrainer.setMaxer(Optimizer maxer)
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Uses of Optimizer in cc.mallet.optimize |
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Classes in cc.mallet.optimize that implement Optimizer | |
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class |
AGIS
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class |
ConjugateGradient
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class |
GradientAscent
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class |
LimitedMemoryBFGS
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class |
OrthantWiseLimitedMemoryBFGS
Implementation of orthant-wise limited memory quasi Newton method for optimizing convex L1-regularized objectives. |
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