weka.datagenerators
Class RegressionGenerator

java.lang.Object
  extended by weka.datagenerators.DataGenerator
      extended by weka.datagenerators.RegressionGenerator
All Implemented Interfaces:
java.io.Serializable, OptionHandler, Randomizable
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
RegressionGenerator()
          initializes the generator with default values
 
Method Summary
 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, 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
 

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