weka.classifiers.meta.generators

Class RandomizableDistributionGenerator

java.lang.Object

weka.classifiers.meta.generators.Generator

weka.classifiers.meta.generators.RandomizableGenerator

weka.classifiers.meta.generators.RandomizableDistributionGenerator

All Implemented Interfaces:

java.io.Serializable, Mean, weka.core.OptionHandler

Direct Known Subclasses:

GaussianGenerator, MixedGaussianGenerator

public abstract class RandomizableDistributionGenerator
extends RandomizableGenerator
implements Mean

An abstract superclass for randomizable generators that make use of mean and standard deviation.

Version:

$Revision: 10374 $

Author:

fracpete (fracpet at waikato dot ac dot nz)

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
RandomizableDistributionGenerator()

Method Summary

Modifier and Type	Method and Description
double	getMean() Gets the current mean of the underlying Gaussian distribution.
java.lang.String[]	getOptions() Gets the current settings of the generator.
double	getStandardDeviation() Gets the current standard deviation of the underlying distribution.
java.util.Enumeration<weka.core.Option>	listOptions() Returns an enumeration describing the available options.
java.lang.String	meanTipText() Returns the tip text for this property.
void	setMean(double value) Sets the mean of the Gaussian distribution to a new mean.
void	setOptions(java.lang.String[] options) Parses a given list of options.
void	setStandardDeviation(double value) Sets the standard deviation of the distribution to a new value.
java.lang.String	standardDeviationTipText() Returns the tip text for this property.

Methods inherited from class weka.classifiers.meta.generators.RandomizableGenerator

getSeed, seedTipText, setSeed

Methods inherited from class weka.classifiers.meta.generators.Generator

copy, debugTipText, forName, generate, getDebug, getLogProbabilityOf, getProbabilityOf, globalInfo, setDebug

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

RandomizableDistributionGenerator

public RandomizableDistributionGenerator()

Method Detail

listOptions

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

Returns an enumeration describing the available options.

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class RandomizableGenerator

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

Overrides:

setOptions in class RandomizableGenerator

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 generator.

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class RandomizableGenerator

Returns:

an array of strings suitable for passing to setOptions

getMean

public double getMean()

Gets the current mean of the underlying Gaussian distribution.

Returns:

The current mean of the Gaussian distribution.

setMean

public void setMean(double value)

Sets the mean of the Gaussian distribution to a new mean.

Specified by:

setMean in interface Mean

Parameters:

value - The new mean for the distribution.

meanTipText

public java.lang.String meanTipText()

Returns the tip text for this property.

Returns:

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

getStandardDeviation

public double getStandardDeviation()

Gets the current standard deviation of the underlying distribution.

Returns:

The current standard deviation of the distribution.

setStandardDeviation

public void setStandardDeviation(double value)

Sets the standard deviation of the distribution to a new value.

Specified by:

setStandardDeviation in interface Mean

Parameters:

value - The new standard deviation.

standardDeviationTipText

public java.lang.String standardDeviationTipText()

Returns the tip text for this property.

Returns:

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