CrossValidationActions (bayesserver 11.0 API)

```
public interface CrossValidationActions
```
Actions which the caller must implement to use Cross Validation.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`CrossValidationScore`	`combine(int metric, CrossValidationTestResult[] testResults)`	A user supplied function to combine the test results over multiple partitioning.
`CrossValidationNetwork`	`learn(DataPartitioning trainingPartitioning)`	A user supplied function to learn a network based on a training partitioning of the data.
`CrossValidationTestResult[]`	`test(DataPartitioning testPartitioning, CrossValidationNetwork crossValidationNetwork)`	A user supplied function to test the network on a test partitioning of the data.

- Method Detail
  - learn
```
CrossValidationNetwork learn(DataPartitioning trainingPartitioning)
```
    A user supplied function to learn a network based on a training partitioning of the data.
    
    Parameters:
    
    trainingPartitioning - The training data partitioning to learn a network from.
    
    Returns:
    
    The network learnt from the data partitioning and any other relevant information.
  - test
```
CrossValidationTestResult[] test(DataPartitioning testPartitioning,
                                 CrossValidationNetwork crossValidationNetwork)
```
    A user supplied function to test the network on a test partitioning of the data.
    
    Parameters:
    
    testPartitioning - The test data partitioning to learn a network from.
    
    crossValidationNetwork - The network learnt from the associated training data partitioning.
    
    Returns:
    
    The test results for this test data partitioning.
  - combine
```
CrossValidationScore combine(int metric,
                             CrossValidationTestResult[] testResults)
```
    A user supplied function to combine the test results over multiple partitioning.
    
    Parameters:
    
    metric - The metric to combine.
    
    testResults - The test results associated with the metric.
    
    Returns:
    
    The score which is a result of combining the test results for this metric.