com.bayesserver.inference

Interface InferenceFactory

All Known Implementing Classes:

LikelihoodSamplingInferenceFactory, LoopyBeliefInferenceFactory, RelevanceTreeInferenceFactory, VariableEliminationInferenceFactory

public interface InferenceFactory

Uses the factory design pattern to create inference related objects for inference algorithms. An inference algorithm provides an implementation of this factory, which creates objects specific to that algorithm.

Method Summary

Modifier and Type	Method and Description
Inference	createInferenceEngine(Network network) Creates an instance of an inference algorithm, with the [network] as it's target.
QueryOptions	createQueryOptions() Creates options that govern how each query is performed.
QueryOutput	createQueryOutput() Creates an object that collects information about each query, in addition to the distributions.

Method Detail

createInferenceEngine

Inference createInferenceEngine(Network network)

Creates an instance of an inference algorithm, with the [network] as it's target.

Parameters:

network - The target Bayesian network.

Returns:

The inference algorithm/engine.

createQueryOptions

QueryOptions createQueryOptions()

Creates options that govern how each query is performed. Each algorithm may provide additional options.

Returns:

The options.

createQueryOutput

QueryOutput createQueryOutput()

Creates an object that collects information about each query, in addition to the distributions. Each algorithm may provide additional output information.

The output object can be created once, and reused over many calls to Inference.query(com.bayesserver.inference.QueryOptions, com.bayesserver.inference.QueryOutput).

Returns:

The output instance.