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## Uses of Class
cc.mallet.classify.MaxEntOptimizableByLabelLikelihood

Packages that use MaxEntOptimizableByLabelLikelihood
cc.mallet.classify | Classes for training and classifying instances.

Uses of MaxEntOptimizableByLabelLikelihood in cc.mallet.classify

Methods in cc.mallet.classify that return MaxEntOptimizableByLabelLikelihood
`MaxEntOptimizableByLabelLikelihood` | `MaxEntTrainer.getOptimizable(InstanceList trainingSet)`
`MaxEntOptimizableByLabelLikelihood` | `MaxEntTrainer.getOptimizable(InstanceList trainingSet, MaxEnt initialClassifier)`
`MaxEntOptimizableByLabelLikelihood` | `MaxEntOptimizableByLabelLikelihood.setGaussianPriorVariance(double gaussianPriorVariance)` Sets a parameter to prevent overtraining.
`MaxEntOptimizableByLabelLikelihood` | `MaxEntOptimizableByLabelLikelihood.setHyperbolicPriorSharpness(double hyperbolicPriorSharpness)`
`MaxEntOptimizableByLabelLikelihood` | `MaxEntOptimizableByLabelLikelihood.setHyperbolicPriorSlope(double hyperbolicPriorSlope)`
`MaxEntOptimizableByLabelLikelihood` | `MaxEntOptimizableByLabelLikelihood.useGaussianPrior()`
`MaxEntOptimizableByLabelLikelihood` | `MaxEntOptimizableByLabelLikelihood.useHyperbolicPrior()`
`MaxEntOptimizableByLabelLikelihood` | `MaxEntOptimizableByLabelLikelihood.useNoPrior()` In some cases a prior term is implemented in the optimizer, (eg orthant-wise L-BFGS), so we occasionally want to only calculate the log likelihood.

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