ISplitBasedClassifierEvaluator (jaicore-ml 0.1.6 API)

Type Parameters:

O - The type of the measured value.

All Known Implementing Classes:

AbstractSplitBasedClassifierEvaluator, SimpleMLCSplitBasedClassifierEvaluator, SimpleSLCSplitBasedClassifierEvaluator
```
public interface ISplitBasedClassifierEvaluator<O>
```
Interface for the evaluator measure bridge yielding the measured value as an instance of O.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`O`	`evaluateSplit(weka.classifiers.Classifier h, weka.core.Instances trainingData, weka.core.Instances validationData)`	Evaluate a hypothesis h being trained on a set of trainingData for some validationData.

- Method Detail
  - evaluateSplit
```
O evaluateSplit(weka.classifiers.Classifier h,
                weka.core.Instances trainingData,
                weka.core.Instances validationData)
         throws ai.libs.jaicore.basic.algorithm.exceptions.ObjectEvaluationFailedException,
                java.lang.InterruptedException
```
    Evaluate a hypothesis h being trained on a set of trainingData for some validationData.
    
    Parameters:
    
    h - The classifier to test for some training and validation data.
    
    trainingData - The training data to train the classifier on.
    
    validationData - The test data to validate the classifier on.
    
    Returns:
    
    Returns the result of the measured value.
    
    Throws:
    
    java.lang.Exception - Throws an Exception if there are issues training or validating the classifier.
    
    ai.libs.jaicore.basic.algorithm.exceptions.ObjectEvaluationFailedException
    
    java.lang.InterruptedException