de.up.ling.irtg.sampling

Class AdaptiveImportanceSampler.Configuration

java.lang.Object

de.up.ling.irtg.sampling.AdaptiveImportanceSampler.Configuration

Enclosing class:

AdaptiveImportanceSampler

public static class AdaptiveImportanceSampler.Configuration
extends Object

A configuration that contains all the relevant information needed to generate a number of samples from a group of tree automata.

Constructor Summary

Constructors

Constructor and Description
Configuration(Function<TreeAutomaton,RuleWeighting> rwSource) Creates a new instance with default parameters and based on the given RuleWeightings

Method Summary

Modifier and Type	Method and Description
List<TreeSample<Rule>>	run(TreeAutomaton ta) Runs an importance sampler once for the given configuration.
void	setDeterministic(boolean deterministic) Set to true if the underlying automata may be ambiguous.
void	setPopulationSize(int populationSize) Used to set the population size used in sampling.
void	setRounds(int rounds)
void	setSeeds(LongSupplier seeds) Used to configure the seeds used to initialize the sampler.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Configuration

public Configuration(Function<TreeAutomaton,RuleWeighting> rwSource)

Creates a new instance with default parameters and based on the given RuleWeightings

Parameters:

rwSource -

Method Detail

setDeterministic

public void setDeterministic(boolean deterministic)

Set to true if the underlying automata may be ambiguous.

Parameters:

deterministic -

setRounds

public void setRounds(int rounds)

Parameters:

rounds -

setPopulationSize

public void setPopulationSize(int populationSize)

Used to set the population size used in sampling.

Parameters:

populationSize -

setSeeds

public void setSeeds(LongSupplier seeds)

Used to configure the seeds used to initialize the sampler.

Parameters:

seeds -

run

public List<TreeSample<Rule>> run(TreeAutomaton ta)

Runs an importance sampler once for the given configuration.

Parameters:

ta -

Returns: