LoopyBeliefInferenceFactory (bayesserver 11.1 API)

java.lang.Object
- com.bayesserver.inference.LoopyBeliefInferenceFactory

All Implemented Interfaces:

InferenceFactory
```
public final class LoopyBeliefInferenceFactory
extends Object
implements InferenceFactory
```
Uses the factory design pattern to create inference related objects for the Loopy Belief algorithm. See InferenceFactory for more details.

Constructor Summary

Constructors
Constructor Description

LoopyBeliefInferenceFactory()

Method Summary

All Methods Instance Methods Concrete 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`.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - LoopyBeliefInferenceFactory
```
public LoopyBeliefInferenceFactory()
```
- Method Detail
  - createInferenceEngine
```
public Inference createInferenceEngine(Network network)
```
    Creates an instance of an inference algorithm, with the [network] as it's target.
    
    Specified by:
    
    createInferenceEngine in interface InferenceFactory
    
    Parameters:
    
    network - The target Bayesian network.
    
    Returns:
    
    The inference algorithm/engine.
  - createQueryOptions
```
public QueryOptions createQueryOptions()
```
    Creates options that govern how each query is performed. Each algorithm may provide additional options.
    
    Specified by:
    
    createQueryOptions in interface InferenceFactory
    
    Returns:
    
    The options.
  - createQueryOutput
```
public 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).
    
    Specified by:
    
    createQueryOutput in interface InferenceFactory
    
    Returns:
    
    The output instance.