Class MultiScheme

Method Details

• globalInfo

  public String globalInfo()

  Returns a string describing classifier

  Returns:

  a description suitable for displaying in the explorer/experimenter gui

• listOptions

  public Enumeration listOptions()

  Returns an enumeration describing the available options.

  Specified by:

  listOptions in interface OptionHandler

  Overrides:

  listOptions in class RandomizableMultipleClassifiersCombiner

  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:

   -X <number of folds>
    Use cross validation for model selection using the
    given number of folds. (default 0, is to
    use training error)

   -S <num>
    Random number seed.
    (default 1)

   -B <classifier specification>
    Full class name of classifier to include, followed
    by scheme options. May be specified multiple times.
    (default: "weka.classifiers.rules.ZeroR")

   -D
    If set, classifier is run in debug mode and
    may output additional info to the console

  Specified by:

  setOptions in interface OptionHandler

  Overrides:

  setOptions in class RandomizableMultipleClassifiersCombiner

  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 RandomizableMultipleClassifiersCombiner

  Returns:

  an array of strings suitable for passing to setOptions

• classifiersTipText

  public String classifiersTipText()

  Returns the tip text for this property

  Overrides:

  classifiersTipText in class MultipleClassifiersCombiner

  Returns:

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

• setClassifiers

  public void setClassifiers(Classifier[] classifiers)

  Sets the list of possible classifers to choose from.

  Overrides:

  setClassifiers in class MultipleClassifiersCombiner

  Parameters:

  classifiers - an array of classifiers with all options set.

• getClassifiers

  public Classifier[] getClassifiers()

  Gets the list of possible classifers to choose from.

  Overrides:

  getClassifiers in class MultipleClassifiersCombiner

  Returns:

  the array of Classifiers

• getClassifier

  public Classifier getClassifier(int index)

  Gets a single classifier from the set of available classifiers.

  Overrides:

  getClassifier in class MultipleClassifiersCombiner

  Parameters:

  index - the index of the classifier wanted

  Returns:

  the Classifier

• seedTipText

  public String seedTipText()

  Returns the tip text for this property

  Overrides:

  seedTipText in class RandomizableMultipleClassifiersCombiner

  Returns:

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

• setSeed

  public void setSeed(int seed)

  Sets the seed for random number generation.

  Specified by:

  setSeed in interface Randomizable

  Overrides:

  setSeed in class RandomizableMultipleClassifiersCombiner

  Parameters:

  seed - the random number seed

• getSeed

  public int getSeed()

  Gets the random number seed.

  Specified by:

  getSeed in interface Randomizable

  Overrides:

  getSeed in class RandomizableMultipleClassifiersCombiner

  Returns:

  the random number seed

• numFoldsTipText

  public String numFoldsTipText()

  Returns the tip text for this property

  Returns:

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

• getNumFolds

  public int getNumFolds()

  Gets the number of folds for cross-validation. A number less than 2 specifies using training error rather than cross-validation.

  Returns:

  the number of folds for cross-validation

• setNumFolds

  public void setNumFolds(int numFolds)

  Sets the number of folds for cross-validation. A number less than 2 specifies using training error rather than cross-validation.

  Parameters:

  numFolds - the number of folds for cross-validation

• debugTipText

  public String debugTipText()

  Returns the tip text for this property

  Overrides:

  debugTipText in class Classifier

  Returns:

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

• setDebug

  public void setDebug(boolean debug)

  Set debugging mode

  Overrides:

  setDebug in class Classifier

  Parameters:

  debug - true if debug output should be printed

• getDebug

  public boolean getDebug()

  Get whether debugging is turned on

  Overrides:

  getDebug in class Classifier

  Returns:

  true if debugging output is on

• getBestClassifierIndex

  public int getBestClassifierIndex()

  Get the index of the classifier that was determined as best during cross-validation.

  Returns:

  the index in the classifier array

• buildClassifier

  public void buildClassifier(Instances data) throws Exception

  Buildclassifier selects a classifier from the set of classifiers by minimising error on the training data.

  Specified by:

  buildClassifier in class Classifier

  Parameters:

  data - the training data to be used for generating the boosted classifier.

  Throws:

  Exception - if the classifier could not be built successfully

• distributionForInstance

  public double[] distributionForInstance(Instance instance) throws Exception

  Returns class probabilities.

  Overrides:

  distributionForInstance in class Classifier

  Parameters:

  instance - the instance to be classified

  Returns:

  the distribution for the instance

  Throws:

  Exception - if instance could not be classified successfully

• toString

  public String toString()

  Output a representation of this classifier

  Overrides:

  toString in class Object

  Returns:

  a string representation of the classifier

• getRevision

  public String getRevision()

  Returns the revision string.

  Specified by:

  getRevision in interface RevisionHandler

  Overrides:

  getRevision in class Classifier

  Returns:

  the revision

• main

  public static void main(String[] argv)

  Main method for testing this class.

  Parameters:

  argv - should contain the following arguments: -t training file [-T test file] [-c class index]