Overview | Package | Class | Tree | Deprecated | Index | Help | Weka's home
PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD

## weka.attributeSelection
Class ASEvaluation

    java.lang.Object
      weka.attributeSelection.ASEvaluation

All Implemented Interfaces:
  java.io.Serializable

Direct Known Subclasses:
  AttributeEvaluator, SubsetEvaluator

    public abstract class ASEvaluation

extends java.lang.Object
implements java.io.Serializable

Abstract attribute selection evaluation class

Version:
  $Revision: 1.9 $
Author:
  Mark Hall (mhall@cs.waikato.ac.nz)
See Also:
  Serialized Form

Constructor Summary
`ASEvaluation()`

Method Summary
`abstract void` | `buildEvaluator(Instances data)` Generates a attribute evaluator.
`static ASEvaluation` | `forName(java.lang.String evaluatorName, java.lang.String[] options)` Creates a new instance of an attribute/subset evaluator given it's class name and (optional) arguments to pass to it's setOptions method.
`static ASEvaluation[]` | `makeCopies(ASEvaluation model, int num)` Creates copies of the current evaluator.
`int[]` | `postProcess(int[] attributeSet)` Provides a chance for a attribute evaluator to do any special post processing of the selected attribute set.

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

Constructor Detail

### ASEvaluation

    public ASEvaluation()

Method Detail

### buildEvaluator

    public abstract void buildEvaluator(Instances data)
                                 throws java.lang.Exception

  Generates a attribute evaluator. Has to initialize all fields of the evaluator that are not being set via options.

  Parameters:
    `data` - set of instances serving as training data
  Throws:
    `java.lang.Exception` - if the evaluator has not been generated successfully

### postProcess

    public int[] postProcess(int[] attributeSet)
                      throws java.lang.Exception

  Provides a chance for a attribute evaluator to do any special post processing of the selected attribute set.

  Parameters:
    `attributeSet` - the set of attributes found by the search
  Returns:
    a possibly ranked list of postprocessed attributes
  Throws:
    `java.lang.Exception` - if postprocessing fails for some reason

### forName

    public static ASEvaluation forName(java.lang.String evaluatorName,
                                       java.lang.String[] options)
                                throws java.lang.Exception

  Creates a new instance of an attribute/subset evaluator given it's class name and (optional) arguments to pass to it's setOptions method. If the evaluator implements OptionHandler and the options parameter is non-null, the evaluator will have it's options set.

  Parameters:
    `evaluatorName` - the fully qualified class name of the evaluator
    `options` - an array of options suitable for passing to setOptions. May be null.
  Returns:
    the newly created evaluator, ready for use.
  Throws:
    `java.lang.Exception` - if the evaluator name is invalid, or the options supplied are not acceptable to the evaluator

### makeCopies

    public static ASEvaluation[] makeCopies(ASEvaluation model,
                                            int num)
                                     throws java.lang.Exception

  Creates copies of the current evaluator. Note that this method now uses Serialization to perform a deep copy, so the evaluator object must be fully Serializable. Any currently built model will now be copied as well.

  Parameters:
    `model` - an example evaluator to copy
    `num` - the number of evaluator copies to create.
  Returns:
    an array of evaluators.
  Throws:
    `java.lang.Exception` - if an error occurs

Overview | Package | Class | Tree | Deprecated | Index | Help | Weka's home
PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD