Uses of Interface
de.up.ling.irtg.learning_rates.LearningRate

Packages that use LearningRate

Package	Description
de.up.ling.irtg.learning_rates	This package includes basic learning rates used for SGD algorithms.
de.up.ling.irtg.sampling.rule_weighting	This package contains automata with adaptable sampling heuristics.

Uses of LearningRate in de.up.ling.irtg.learning_rates

Classes in de.up.ling.irtg.learning_rates that implement LearningRate

Modifier and Type	Class and Description
class	AdaGrad A simple implementation of the widely used AdaGrad learning rate.

Uses of LearningRate in de.up.ling.irtg.sampling.rule_weighting

Constructors in de.up.ling.irtg.sampling.rule_weighting with parameters of type LearningRate

Constructor and Description
AutomatonWeighted(TreeAutomaton basis, int regularizationExponent, double regularizationDivisor, LearningRate rate) Creates a new instance that weights trees according to the rule weights from the given automaton and uses the automaton as the basis for sampling.
RegularizedKLRuleWeighting(TreeAutomaton basis, int regularizationExponent, double regularizationDivisor, LearningRate rate) Creates a new instance with the regularization given by the specified values.