weka.classifiers.scripting
Class GroovyClassifier

java.lang.Object
  weka.classifiers.AbstractClassifier
      weka.classifiers.scripting.GroovyClassifier

All Implemented Interfaces:

Serializable, Cloneable, weka.classifiers.Classifier, weka.core.CapabilitiesHandler, weka.core.OptionHandler, weka.core.RevisionHandler

public class GroovyClassifier
extends weka.classifiers.AbstractClassifier

A wrapper class for Groovy code. Even though the classifier is serializable, the trained classifier cannot be stored persistently. I.e., one cannot store a model file and re-load it at a later point in time again to make predictions.

Valid options are:

 -G <filename>
  The Groovy module to load (full path)
  Options after '--' will be passed on to the Groovy module.

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

Options after "--" will be passed on to the Groovy module.

In order to use Groovy, the jar containing all the classes must be present in the CLASSPATH. This jar is normally found in the embeddable sub-directory of the Groovy installation.

Tested with Groovy 1.5.7.

Version:

$Revision: 8109 $

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Groovy, Serialized Form

Constructor Summary

GroovyClassifier()
default constructor.

Method Summary

void	buildClassifier(weka.core.Instances instances) Generates the classifier.
double	classifyInstance(weka.core.Instance instance) Classifies a given instance.
double[]	distributionForInstance(weka.core.Instance instance) Calculates the class membership probabilities for the given test instance.
weka.core.Capabilities	getCapabilities() Returns default capabilities of the classifier.
File	getGroovyModule() Gets the Groovy module.
String	getGroovyOptions() Gets the Groovy module options.
String[]	getOptions() Gets the current settings of the Classifier.
String	getRevision() Returns the revision string.
String	globalInfo() Returns a string describing classifier.
String	GroovyModuleTipText() Returns the tip text for this property.
String	GroovyOptionsTipText() Returns the tip text for this property.
Enumeration	listOptions() Returns an enumeration describing the available options.
static void	main(String[] args) Main method for testing this class.
void	setGroovyModule(File value) Sets the Groovy module.
void	setGroovyOptions(String value) Sets the Groovy module options.
void	setOptions(String[] options) Parses a given list of options.
String	toString() Returns a description of the classifier.

Methods inherited from class weka.classifiers.AbstractClassifier

debugTipText, forName, getDebug, makeCopies, makeCopy, runClassifier, setDebug

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

GroovyClassifier

public GroovyClassifier()

default constructor.

Method Detail

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 weka.core.OptionHandler

Overrides:

listOptions in class weka.classifiers.AbstractClassifier

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(String[] options)
                throws Exception

Parses a given list of options.

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class weka.classifiers.AbstractClassifier

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 weka.core.OptionHandler

Overrides:

getOptions in class weka.classifiers.AbstractClassifier

Returns:

an array of strings suitable for passing to setOptions

GroovyModuleTipText

public String GroovyModuleTipText()

Returns the tip text for this property.

Returns:

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

setGroovyModule

public void setGroovyModule(File value)

Sets the Groovy module.

Parameters:

value - the Groovy module

getGroovyModule

public File getGroovyModule()

Gets the Groovy module.

Returns:

the Groovy module

GroovyOptionsTipText

public String GroovyOptionsTipText()

Returns the tip text for this property.

Returns:

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

setGroovyOptions

public void setGroovyOptions(String value)

Sets the Groovy module options.

Parameters:

value - the options

getGroovyOptions

public String getGroovyOptions()

Gets the Groovy module options.

Returns:

the options

getCapabilities

public weka.core.Capabilities getCapabilities()

Returns default capabilities of the classifier.

Specified by:

getCapabilities in interface weka.classifiers.Classifier

Specified by:

getCapabilities in interface weka.core.CapabilitiesHandler

Overrides:

getCapabilities in class weka.classifiers.AbstractClassifier

Returns:

the capabilities of this classifier

buildClassifier

public void buildClassifier(weka.core.Instances instances)
                     throws Exception

Generates the classifier.

Parameters:

instances - set of instances serving as training data

Throws:

Exception - if the classifier has not been generated successfully

classifyInstance

public double classifyInstance(weka.core.Instance instance)
                        throws Exception

Classifies a given instance.

Specified by:

classifyInstance in interface weka.classifiers.Classifier

Overrides:

classifyInstance in class weka.classifiers.AbstractClassifier

Parameters:

instance - the instance to be classified

Returns:

index of the predicted class

Throws:

Exception - if an error occurred during the prediction

distributionForInstance

public double[] distributionForInstance(weka.core.Instance instance)
                                 throws Exception

Calculates the class membership probabilities for the given test instance.

Specified by:

distributionForInstance in interface weka.classifiers.Classifier

Overrides:

distributionForInstance in class weka.classifiers.AbstractClassifier

Parameters:

instance - the instance to be classified

Returns:

predicted class probability distribution

Throws:

Exception - if class is numeric

toString

public String toString()

Returns a description of the classifier.

Overrides:

toString in class Object

Returns:

a description of the classifier as a string.

getRevision

public String getRevision()

Returns the revision string.

Specified by:

getRevision in interface weka.core.RevisionHandler

Overrides:

getRevision in class weka.classifiers.AbstractClassifier

Returns:

the revision

main

public static void main(String[] args)

Main method for testing this class.

Parameters:

args - the options