BayesInference

java.lang.Object
- de.uka.ipd.sdq.dsexplore.bayesnets.utility.BayesInference

```
public class BayesInference
extends Object
```
This class is used for all inference purposes. Currently, only P(Sample|Bayes Network) is supported. Other inference capabilities will be (hopefully) added later.

Constructor Summary

Constructors
Constructor Description

BayesInference(int[][] Graph, int[][] Data)
Constructor for the class.

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`getProbabilityOfSampleGivenBayesNetwork(int[] Sample)`	Calculates the P(Sample\|Bayes Network).
`static void`	`main(String[] args)`

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

- Constructor Detail
  - BayesInference
```
public BayesInference(int[][] Graph,
                      int[][] Data)
```
    Constructor for the class.
    
    Parameters:
    
    Graph - - An adjacency matrix representing the Bayesian Network
    
    Data - - The Data you have as a matrix. Each row is one datapoint
- Method Detail
  - main
```
public static void main(String[] args)
```
  - getProbabilityOfSampleGivenBayesNetwork
```
public double getProbabilityOfSampleGivenBayesNetwork(int[] Sample)
```
    Calculates the P(Sample|Bayes Network). It is assumed that the Graph has been chosen by the user. Normally, it is recommended that the Graph is learnt from the Data using other classes of this de.uka.ipd.sdq.dsexplore.bayesnets plugin. But one can specify any Graph and any Data that one likes.
    
    Parameters:
    
    Sample - - The sample as an int array. The length of the Sample has to be equal to the number of variables in the Bayesian Network (this is equal to this.Graph.length)
    
    Returns:
    
    The probability P(Sample|Bayesian Network) as a double