weka.classifiers.meta.generators

Class GaussianGenerator

java.lang.Object

weka.classifiers.meta.generators.Generator

weka.classifiers.meta.generators.RandomizableGenerator

weka.classifiers.meta.generators.RandomizableDistributionGenerator

weka.classifiers.meta.generators.GaussianGenerator

All Implemented Interfaces:

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

public class GaussianGenerator
extends RandomizableDistributionGenerator
implements NumericAttributeGenerator

An artificial data generator that uses a single Gaussian distribution.

If a mixture of Gaussians is required, use the EM Generator.

Valid options are:

 -S <seed>
  Sets the seed of the random number generator of the generator (default: 1)
 

 -M <num>
  Sets the mean of the generator
  (default: 0)
 

 -SD <num>
  Sets the standard deviation of the generator
  (default: 1)
 

Version:

$Revision: 10374 $

Author:

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

See Also:

EMGenerator, Serialized Form

Constructor Summary

Constructors

Constructor and Description
GaussianGenerator()

Method Summary

Modifier and Type	Method and Description
double	generate() Generates a value that falls under this distribution.
double	getLogProbabilityOf(double valuex) Gets the (natural) log of the probability of a given value.
double	getProbabilityOf(double valuex) Gets the probability that a value falls under this distribution.
java.lang.String	globalInfo() Returns a string describing this class' ability.

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

getMean, getOptions, getStandardDeviation, listOptions, meanTipText, setMean, setOptions, setStandardDeviation, standardDeviationTipText

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

getSeed, seedTipText, setSeed

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

copy, debugTipText, forName, getDebug, 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

GaussianGenerator

public GaussianGenerator()

Method Detail

globalInfo

public java.lang.String globalInfo()

Returns a string describing this class' ability.

Specified by:

globalInfo in class Generator

Returns:

A description of the class.

generate

public double generate()

Generates a value that falls under this distribution.

Specified by:

generate in class Generator

Returns:

A generated value.

getProbabilityOf

public double getProbabilityOf(double valuex)

Gets the probability that a value falls under this distribution.

Specified by:

getProbabilityOf in class Generator

Parameters:

valuex - The value to get the probability of.

Returns:

The probability of the given value.

getLogProbabilityOf

public double getLogProbabilityOf(double valuex)

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

Specified by:

getLogProbabilityOf in class Generator

Parameters:

valuex - The value to get the log probability of.

Returns:

The (natural) log of the probability.