Uses of Package
de.jstacs.classifier.scoringFunctionBased.logPrior

Packages that use de.jstacs.classifier.scoringFunctionBased.logPrior
de.jstacs.classifier.scoringFunctionBased.cll Provides the implementation of the log conditional likelihood as an OptimizableFunction and a classifier that uses log conditional likelihood or supervised posterior to learn the parameters of a set of ScoringFunctions 
de.jstacs.classifier.scoringFunctionBased.logPrior Provides a general definition of a parameter log-prior and a number of implementations of Laplace and Gaussian priors 
 

Classes in de.jstacs.classifier.scoringFunctionBased.logPrior used by de.jstacs.classifier.scoringFunctionBased.cll
LogPrior
          The abstract class for any log-prior used e.g. for maximum supervised posterior optimization.
 

Classes in de.jstacs.classifier.scoringFunctionBased.logPrior used by de.jstacs.classifier.scoringFunctionBased.logPrior
DoesNothingLogPrior
          This class defines a LogPrior that does not penalize any parameter.
LogPrior
          The abstract class for any log-prior used e.g. for maximum supervised posterior optimization.
SeparateLogPrior
          Abstract class for priors that penalize each parameter value independently and have some variance (and possible mean) as hyper-parameters.
SimpleGaussianSumLogPrior
          This class implements a prior that is a product of Gaussian distributions with mean 0 and equal variance for each parameter.