Package de.up.ling.irtg.sampling

This package contains tools to implement approximate inference via sampling.

See: Description

Interface Summary

Interface	Description
RuleWeighting	This interface represents the target distribution for sampling and the auxiliary distribution.

Class Summary

Class	Description
AdaptiveImportanceSampler	This class implements importance sampling from a tree automaton according to a user specified target distribution that does not have to be expressible by a tree automaton.
AdaptiveImportanceSampler.Configuration	A configuration that contains all the relevant information needed to generate a number of samples from a group of tree automata.
Proposal	Generates a sample of trees according the proposal probabilities of a given rule weighting.
ProposalSumComputer	This class is used to compute the cumulative probability of proposing a given tree in case of an ambiguous automaton.
TreeSample<Type>	Represents all the trees drawn in a round of importance sampling along with the necessary weights.

Package de.up.ling.irtg.sampling Description

This package contains tools to implement approximate inference via sampling.