Package weka.classifiers

Class ParallelMultipleClassifiersCombiner

java.lang.Object
weka.classifiers.AbstractClassifier
weka.classifiers.MultipleClassifiersCombiner
weka.classifiers.ParallelMultipleClassifiersCombiner
All Implemented Interfaces:
Serializable, Cloneable, Classifier, BatchPredictor, CapabilitiesHandler, CapabilitiesIgnorer, CommandlineRunnable, OptionHandler, RevisionHandler
Direct Known Subclasses:
RandomizableParallelMultipleClassifiersCombiner
public abstract class ParallelMultipleClassifiersCombiner extends MultipleClassifiersCombiner
Abstract utility class for handling settings common to meta classifiers that build an ensemble in parallel using multiple classifiers.
Version:
$Revision: 10141 $
Author:
Mark Hall (mhall{[at]}pentaho{[dot]}com)
See Also:

  • Constructor Details

    • ParallelMultipleClassifiersCombiner

      public ParallelMultipleClassifiersCombiner()

  • Method Details

    • listOptions

      public Enumeration<Option> listOptions()
      Returns an enumeration describing the available options.
      Specified by:
      listOptions in interface OptionHandler
      Overrides:
      listOptions in class MultipleClassifiersCombiner
      Returns:
      an enumeration of all the available options.

    • setOptions

      public void setOptions(String[] options) throws Exception
      Parses a given list of options. Valid options are:

      -Z num
      Set the number of execution slots to use (default 1 - i.e. no parallelism).

      Options after -- are passed to the designated classifier.

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

    • getOptions

      public String[] getOptions()
      Gets the current settings of the classifier.
      Specified by:
      getOptions in interface OptionHandler
      Overrides:
      getOptions in class MultipleClassifiersCombiner
      Returns:
      an array of strings suitable for passing to setOptions

    • setNumExecutionSlots

      public void setNumExecutionSlots(int numSlots)
      Set the number of execution slots (threads) to use for building the members of the ensemble.
      Parameters:
      numSlots - the number of slots to use.

    • getNumExecutionSlots

      public int getNumExecutionSlots()
      Get the number of execution slots (threads) to use for building the members of the ensemble.
      Returns:
      the number of slots to use

    • numExecutionSlotsTipText

      public String numExecutionSlotsTipText()
      Returns the tip text for this property
      Returns:
      tip text for this property suitable for displaying in the explorer/experimenter gui

    • buildClassifier

      public void buildClassifier(Instances data) throws Exception
      Stump method for building the classifiers
      Parameters:
      data - the training data to be used for generating the ensemble
      Throws:
      Exception - if the classifier could not be built successfully