weka.classifiers

## Class SingleClassifierEnhancer

- java.lang.Object
- - weka.classifiers.AbstractClassifier
  - - weka.classifiers.SingleClassifierEnhancer

- All Implemented Interfaces:
    java.io.Serializable, java.lang.Cloneable, Classifier, BatchPredictor, CapabilitiesHandler, CapabilitiesIgnorer, OptionHandler, RevisionHandler
  Direct Known Subclasses:
    AttributeSelectedClassifier, ClassificationViaRegression, FilteredClassifier, InputMappedClassifier, IteratedSingleClassifierEnhancer, LWL, RandomizableSingleClassifierEnhancer, RegressionByDiscretization

      public abstract class SingleClassifierEnhancer
      extends AbstractClassifier

  Abstract utility class for handling settings common to meta classifiers that use a single base learner.
  Version:
    $Revision: 11182 $
  Author:
    Eibe Frank (eibe@cs.waikato.ac.nz)
  See Also:
    Serialized Form

- - ### Field Summary

    - ### Fields inherited from class weka.classifiers.AbstractClassifier

      `NUM_DECIMAL_PLACES_DEFAULT`

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `SingleClassifierEnhancer()`

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `java.lang.String` | `classifierTipText()` Returns the tip text for this property
    `Capabilities` | `getCapabilities()` Returns default capabilities of the base classifier.
    `Classifier` | `getClassifier()` Get the classifier used as the base learner.
    `java.lang.String[]` | `getOptions()` Gets the current settings of the Classifier.
    `java.util.Enumeration<Option>` | `listOptions()` Returns an enumeration describing the available options.
    `void` | `setClassifier(Classifier newClassifier)` Set the base learner.
    `void` | `setOptions(java.lang.String[] options)` Parses a given list of options.

    - ### Methods inherited from class weka.classifiers.AbstractClassifier

      `batchSizeTipText, classifyInstance, debugTipText, distributionForInstance, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, getRevision, implementsMoreEfficientBatchPrediction, makeCopies, makeCopy, numDecimalPlacesTipText, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces`

    - ### Methods inherited from class java.lang.Object

      `equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

    - ### Methods inherited from interface weka.classifiers.Classifier

      `buildClassifier`

- - ### Constructor Detail

    - #### SingleClassifierEnhancer

          public SingleClassifierEnhancer()

  - ### Method Detail

    - #### listOptions

          public java.util.Enumeration<Option> listOptions()

      Returns an enumeration describing the available options.
      Specified by:
        `listOptions` in interface `OptionHandler`
      Overrides:
        `listOptions` in class `AbstractClassifier`
      Returns:
        an enumeration of all the available options.

    - #### setOptions

          public void setOptions(java.lang.String[] options)
                          throws java.lang.Exception

      Parses a given list of options. Valid options are:

      -W classname
      Specify the full class name of the base learner.

      Options after -- are passed to the designated classifier.

      Specified by:
        `setOptions` in interface `OptionHandler`
      Overrides:
        `setOptions` in class `AbstractClassifier`
      Parameters:
        `options` - the list of options as an array of strings
      Throws:
        `java.lang.Exception` - if an option is not supported

    - #### getOptions

          public java.lang.String[] getOptions()

      Gets the current settings of the Classifier.
      Specified by:
        `getOptions` in interface `OptionHandler`
      Overrides:
        `getOptions` in class `AbstractClassifier`
      Returns:
        an array of strings suitable for passing to setOptions

    - #### classifierTipText

          public java.lang.String classifierTipText()

      Returns the tip text for this property
      Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

    - #### getCapabilities

          public Capabilities getCapabilities()

      Returns default capabilities of the base classifier.
      Specified by:
        `getCapabilities` in interface `Classifier`
      Specified by:
        `getCapabilities` in interface `CapabilitiesHandler`
      Overrides:
        `getCapabilities` in class `AbstractClassifier`
      Returns:
        the capabilities of the base classifier
      See Also:
        `Capabilities`

    - #### setClassifier

          public void setClassifier(Classifier newClassifier)

      Set the base learner.
      Parameters:
        `newClassifier` - the classifier to use.

    - #### getClassifier

          public Classifier getClassifier()

      Get the classifier used as the base learner.
      Returns:
        the classifier used as the classifier