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.