Package weka.datagenerators
Class ClusterGenerator
java.lang.Object
weka.datagenerators.DataGenerator
weka.datagenerators.ClusterGenerator
- All Implemented Interfaces:
Serializable
,OptionHandler
,Randomizable
,RevisionHandler
- Direct Known Subclasses:
BIRCHCluster
,SubspaceCluster
Abstract class for cluster data generators.
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: 1.6 $
- Author:
- Gabi Schmidberger (gabi@cs.waikato.ac.nz), FracPete (fracpete at waikato dot ac dot nz)
- See Also:
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionReturns the tip text for this propertyReturns the tip text for this propertyreturns the range of boolean attributes.boolean
Gets the class flag.returns the range of nominal attributesint
Gets the number of attributes that should be produced.String[]
Gets the current settings of the classifier.Returns an enumeration describing the available options.Returns the tip text for this propertyReturns the tip text for this propertyvoid
setBooleanCols
(Range value) Sets which attributes are boolean.void
setBooleanIndices
(String rangeList) Sets which attributes are booleanvoid
setClassFlag
(boolean classFlag) Sets the class flag, if class flag is set, the cluster is listed as class atrribute in an extra attribute.void
setNominalCols
(Range value) Sets which attributes are nominal.void
setNominalIndices
(String rangeList) Sets which attributes are nominalvoid
setNumAttributes
(int numAttributes) Sets the number of attributes the dataset should have.void
setOptions
(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
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Constructor Details
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ClusterGenerator
public ClusterGenerator()initializes the generator
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Method Details
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listOptions
Returns an enumeration describing the available options.- Specified by:
listOptions
in interfaceOptionHandler
- Overrides:
listOptions
in classDataGenerator
- Returns:
- an enumeration of all the available options.
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setOptions
Sets the options.- Specified by:
setOptions
in interfaceOptionHandler
- Overrides:
setOptions
in classDataGenerator
- Parameters:
options
- the options- Throws:
Exception
- if invalid option
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getOptions
Gets the current settings of the classifier.- Specified by:
getOptions
in interfaceOptionHandler
- Overrides:
getOptions
in classDataGenerator
- Returns:
- an array of strings suitable for passing to setOptions
- See Also:
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setNumAttributes
public void setNumAttributes(int numAttributes) Sets the number of attributes the dataset should have.- Parameters:
numAttributes
- the new number of attributes
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getNumAttributes
public int getNumAttributes()Gets the number of attributes that should be produced.- Returns:
- the number of attributes that should be produced
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numAttributesTipText
Returns the tip text for this property- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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setClassFlag
public void setClassFlag(boolean classFlag) Sets the class flag, if class flag is set, the cluster is listed as class atrribute in an extra attribute.- Parameters:
classFlag
- the new class flag
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getClassFlag
public boolean getClassFlag()Gets the class flag.- Returns:
- the class flag
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classFlagTipText
Returns the tip text for this property- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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setBooleanIndices
Sets which attributes are boolean- Parameters:
rangeList
- a string representing the list of attributes. Since the string will typically come from a user, attributes are indexed from 1.
eg: first-3,5,6-last- Throws:
IllegalArgumentException
- if an invalid range list is supplied
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setBooleanCols
Sets which attributes are boolean.- Parameters:
value
- the range to use
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getBooleanCols
returns the range of boolean attributes.- Returns:
- the range of boolean attributes
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booleanColsTipText
Returns the tip text for this property- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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setNominalIndices
Sets which attributes are nominal- Parameters:
rangeList
- a string representing the list of attributes. Since the string will typically come from a user, attributes are indexed from 1.
eg: first-3,5,6-last- Throws:
IllegalArgumentException
- if an invalid range list is supplied
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setNominalCols
Sets which attributes are nominal.- Parameters:
value
- the range to use
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getNominalCols
returns the range of nominal attributes- Returns:
- the range of nominal attributes
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nominalColsTipText
Returns the tip text for this property- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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