InferenceFactory (bayesserver 11.1 API)

All Known Implementing Classes:

BackdoorInferenceFactory, DisjunctiveCauseInferenceFactory, FrontDoorInferenceFactory, 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

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	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.