weka.classifiers.meta.generators

Class Generator

java.lang.Object

weka.classifiers.meta.generators.Generator

All Implemented Interfaces:

java.io.Serializable, weka.core.OptionHandler

Direct Known Subclasses:

RandomizableGenerator

public abstract class Generator
extends java.lang.Object
implements java.io.Serializable, weka.core.OptionHandler

An artificial data generator.

Version:

$Revision: 10374 $

Author:

Kathryn Hempstalk (kah18 at cs.waikato.ac.nz)

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
Generator()

Method Summary

Modifier and Type	Method and Description
Generator	copy() Clones this generator.
java.lang.String	debugTipText() Returns the tip text for this property.
static Generator	forName(java.lang.String generatorName, java.lang.String[] options) Creates a new instance of a generator given it's class name and (optional) arguments to pass to it's setOptions method.
abstract double	generate() Generates a value that falls under this distribution.
boolean	getDebug() Get whether debugging is turned on.
abstract double	getLogProbabilityOf(double somedata) Gets the (natural) log of the probability of a given value.
java.lang.String[]	getOptions() Gets the current settings of the Classifier.
abstract double	getProbabilityOf(double somedata) Gets the probability that a value falls under this distribution.
abstract java.lang.String	globalInfo() Returns a string describing this class' ability.
java.util.Enumeration<weka.core.Option>	listOptions() Returns an enumeration describing the available options.
void	setDebug(boolean debug) Set debugging mode.
void	setOptions(java.lang.String[] options) Parses a given list of options.

Methods inherited from class java.lang.Object

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

Methods inherited from interface weka.core.OptionHandler

makeCopy

Constructor Detail

Generator

public Generator()

Method Detail

getProbabilityOf

public abstract double getProbabilityOf(double somedata)

Gets the probability that a value falls under this distribution.

Parameters:

somedata - The value to get the probability of.

Returns:

The probability of the given value.

getLogProbabilityOf

public abstract double getLogProbabilityOf(double somedata)

Gets the (natural) log of the probability of a given value.

Parameters:

somedata - The value to get the log probability of.

Returns:

The (natural) log of the probability.

generate

public abstract double generate()

Generates a value that falls under this distribution.

Returns:

A generated value.

copy

public Generator copy()

Clones this generator. It is a shallow copy, only settings are copied, not probabilities.

Returns:

A copy of this generator.

forName

public static Generator forName(java.lang.String generatorName,
                                java.lang.String[] options)
                         throws java.lang.Exception

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

Parameters:

generatorName - the fully qualified class name of the generator

options - an array of options suitable for passing to setOptions. May be null.

Returns:

the newly created classifier, ready for use.

Throws:

java.lang.Exception - if the classifier name is invalid, or the options supplied are not acceptable to the classifier

globalInfo

public abstract java.lang.String globalInfo()

Returns a string describing this class' ability.

Returns:

A description of the class.

listOptions

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

Returns an enumeration describing the available options.

Specified by:

listOptions in interface weka.core.OptionHandler

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.

Specified by:

setOptions in interface weka.core.OptionHandler

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 weka.core.OptionHandler

Returns:

an array of strings suitable for passing to setOptions

setDebug

public void setDebug(boolean debug)

Set debugging mode.

Parameters:

debug - true if debug output should be printed

getDebug

public boolean getDebug()

Get whether debugging is turned on.

Returns:

true if debugging output is on

debugTipText

public java.lang.String debugTipText()

Returns the tip text for this property.

Returns:

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