HoldOutSubsetEvaluator

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## weka.attributeSelection
Class HoldOutSubsetEvaluator

    java.lang.Object
      weka.attributeSelection.ASEvaluation
          weka.attributeSelection.HoldOutSubsetEvaluator

All Implemented Interfaces:
  java.io.Serializable, SubsetEvaluator, CapabilitiesHandler, RevisionHandler

Direct Known Subclasses:
  ClassifierSubsetEval

    public abstract class HoldOutSubsetEvaluator

extends ASEvaluation
implements SubsetEvaluator

Abstract attribute subset evaluator capable of evaluating subsets with respect to a data set that is distinct from that used to initialize/ train the subset evaluator.

Version:
  $Revision: 1.7 $
Author:
  Mark Hall (mhall@cs.waikato.ac.nz)
See Also:
  Serialized Form

Constructor Summary
`HoldOutSubsetEvaluator()`

Method Summary
`abstract double` | `evaluateSubset(java.util.BitSet subset, Instance holdOut, boolean retrain)` Evaluates a subset of attributes with respect to a single instance.
`abstract double` | `evaluateSubset(java.util.BitSet subset, Instances holdOut)` Evaluates a subset of attributes with respect to a set of instances.

Methods inherited from class weka.attributeSelection.ASEvaluation
`buildEvaluator, forName, getCapabilities, getRevision, makeCopies, postProcess`

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

Methods inherited from interface weka.attributeSelection.SubsetEvaluator
`evaluateSubset`

Constructor Detail

### HoldOutSubsetEvaluator

    public HoldOutSubsetEvaluator()

Method Detail

### evaluateSubset

    public abstract double evaluateSubset(java.util.BitSet subset,
                                          Instances holdOut)
                                   throws java.lang.Exception

  Evaluates a subset of attributes with respect to a set of instances.

  Parameters:
    `subset` - a bitset representing the attribute subset to be evaluated
    `holdOut` - a set of instances (possibly seperate and distinct from those use to build/train the evaluator) with which to evaluate the merit of the subset
  Returns:
    the "merit" of the subset on the holdOut data
  Throws:
    `java.lang.Exception` - if the subset cannot be evaluated

### evaluateSubset

    public abstract double evaluateSubset(java.util.BitSet subset,
                                          Instance holdOut,
                                          boolean retrain)
                                   throws java.lang.Exception

  Evaluates a subset of attributes with respect to a single instance.

  Parameters:
    `subset` - a bitset representing the attribute subset to be evaluated
    `holdOut` - a single instance (possibly not one of those used to build/train the evaluator) with which to evaluate the merit of the subset
    `retrain` - true if the classifier should be retrained with respect to the new subset before testing on the holdOut instance.
  Returns:
    the "merit" of the subset on the holdOut instance
  Throws:
    `java.lang.Exception` - if the subset cannot be evaluated

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