weka.datagenerators

Class RegressionGenerator

java.lang.Object

weka.datagenerators.DataGenerator

weka.datagenerators.RegressionGenerator

All Implemented Interfaces:

java.io.Serializable, OptionHandler, Randomizable, RevisionHandler

Direct Known Subclasses:

MexicanHat

public abstract class RegressionGenerator
extends DataGenerator

Abstract class for data generators for regression classifiers.

Example usage as the main of a datagenerator called RandomGenerator:

 public static void main(String[] args) {
   try {
     DataGenerator.makeData(new RandomGenerator(), args);
   } 
   catch (Exception e) {
     e.printStackTrace();
     System.err.println(e.getMessage());
   }
 }
 

Version:

$Revision: 1.3 $

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
RegressionGenerator() initializes the generator with default values

Method Summary

Modifier and Type	Method and Description
int	getNumExamples() Gets the number of examples, given by option.
java.lang.String[]	getOptions() Gets the current settings of the classifier.
java.util.Enumeration	listOptions() Returns an enumeration describing the available options.
java.lang.String	numExamplesTipText() Returns the tip text for this property
void	setNumExamples(int numExamples) Sets the number of examples, given by option.
void	setOptions(java.lang.String[] options) Sets the options.

Methods inherited from class weka.datagenerators.DataGenerator

debugTipText, defaultOutput, defineDataFormat, formatTipText, generateExample, generateExamples, generateFinished, generateStart, getDatasetFormat, getDebug, getNumExamplesAct, getOutput, getRandom, getRelationName, getSeed, getSingleModeFlag, makeData, outputTipText, randomTipText, relationNameTipText, seedTipText, setDatasetFormat, setDebug, setOutput, setRandom, setRelationName, setSeed

Methods inherited from class java.lang.Object

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

Methods inherited from interface weka.core.RevisionHandler

getRevision

Constructor Detail

RegressionGenerator

public RegressionGenerator()

initializes the generator with default values

Method Detail

listOptions

public java.util.Enumeration listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Overrides:

listOptions in class DataGenerator

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Sets the options.

Specified by:

setOptions in interface OptionHandler

Overrides:

setOptions in class DataGenerator

Parameters:

options - the options

Throws:

java.lang.Exception - if invalid option

getOptions

public java.lang.String[] getOptions()

Gets the current settings of the classifier.

Specified by:

getOptions in interface OptionHandler

Overrides:

getOptions in class DataGenerator

Returns:

an array of strings suitable for passing to setOptions

See Also:

DataGenerator.removeBlacklist(String[])

setNumExamples

public void setNumExamples(int numExamples)

Sets the number of examples, given by option.

Parameters:

numExamples - the new number of examples

getNumExamples

public int getNumExamples()

Gets the number of examples, given by option.

Returns:

the number of examples, given by option

numExamplesTipText

public java.lang.String numExamplesTipText()

Returns the tip text for this property

Returns:

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