RDG1

java.lang.Object
- weka.datagenerators.DataGenerator
- - weka.datagenerators.ClassificationGenerator
  - - weka.datagenerators.classifiers.classification.RDG1

All Implemented Interfaces:: java.io.Serializable, OptionHandler, Randomizable, RevisionHandler

public class RDG1
extends ClassificationGenerator

A data generator that produces data randomly by producing a decision list.
The decision list consists of rules.
Instances are generated randomly one by one. If decision list fails to classify the current instance, a new rule according to this current instance is generated and added to the decision list.

The option -V switches on voting, which means that at the end of the generation all instances are reclassified to the class value that is supported by the most rules.

This data generator can generate 'boolean' attributes (= nominal with the values {true, false}) and numeric attributes. The rules can be 'A' or 'NOT A' for boolean values and 'B < random_value' or 'B >= random_value' for numeric values.

Valid options are:

 -h
  Prints this help.

 -o <file>
  The name of the output file, otherwise the generated data is
  printed to stdout.

 -r <name>
  The name of the relation.

 -d
  Whether to print debug informations.

 -S
  The seed for random function (default 1)

 -n <num>
  The number of examples to generate (default 100)

 -a <num>
  The number of attributes (default 10).

 -c <num>
  The number of classes (default 2)

 -R <num>
  maximum size for rules (default 10)

 -M <num>
  minimum size for rules (default 1)

 -I <num>
  number of irrelevant attributes (default 0)

 -N
  number of numeric attributes (default 0)

 -V
  switch on voting (default is no voting)

Following an example of a generated dataset:

 %
 % weka.datagenerators.RDG1 -r expl -a 2 -c 3 -n 4 -N 1 -I 0 -M 2 -R 10 -S 2
 %
 relation expl
 
 attribute a0 {false,true}
 attribute a1 numeric
 attribute class {c0,c1,c2}
 
 data
 
 true,0.496823,c0
 false,0.743158,c1
 false,0.408285,c1
 false,0.993687,c2
 %
 % Number of attributes chosen as irrelevant = 0
 %
 % DECISIONLIST (number of rules = 3):
 % RULE 0:   c0 := a1 < 0.986, a0
 % RULE 1:   c1 := a1 < 0.95, not(a0)
 % RULE 2:   c2 := not(a0), a1 >= 0.562

Version:: $Revision: 10203 $
Author:: Gabi Schmidberger (gabi@cs.waikato.ac.nz)
See Also:: Serialized Form

Constructor Summary

Constructors
Constructor and Description

RDG1()
initializes the generator with default values

Constructors
Constructor and Description
`RDG1()` initializes the generator with default values

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`java.lang.String`	`attList_IrrTipText()` Returns the tip text for this property
`Instances`	`defineDataFormat()` Initializes the format for the dataset produced.
`Instance`	`generateExample()` Generate an example of the dataset dataset.
`Instances`	`generateExamples()` Generate all examples of the dataset.
`Instances`	`generateExamples(int num, java.util.Random random, Instances format)` Generate all examples of the dataset.
`java.lang.String`	`generateFinished()` Compiles documentation about the data generation.
`java.lang.String`	`generateStart()` Generates a comment string that documentates the data generator.
`boolean[]`	`getAttList_Irr()` Gets the array that defines which of the attributes are seen to be irrelevant.
`int`	`getMaxRuleSize()` Gets the maximum number of tests in rules.
`int`	`getMinRuleSize()` Gets the minimum number of tests in rules.
`int`	`getNumAttributes()` Gets the number of attributes that should be produced.
`int`	`getNumClasses()` Gets the number of classes the dataset should have.
`int`	`getNumIrrelevant()` Gets the number of irrelevant attributes.
`int`	`getNumNumeric()` Gets the number of numerical attributes.
`java.lang.String[]`	`getOptions()` Gets the current settings of the datagenerator RDG1.
`java.lang.String`	`getRevision()` Returns the revision string.
`boolean`	`getSingleModeFlag()` Gets the single mode flag.
`boolean`	`getVoteFlag()` Gets the vote flag.
`java.lang.String`	`globalInfo()` Returns a string describing this data generator.
`java.util.Enumeration<Option>`	`listOptions()` Returns an enumeration describing the available options.
`static void`	`main(java.lang.String[] args)` Main method for testing this class.
`java.lang.String`	`maxRuleSizeTipText()` Returns the tip text for this property
`java.lang.String`	`minRuleSizeTipText()` Returns the tip text for this property
`java.lang.String`	`numAttributesTipText()` Returns the tip text for this property
`java.lang.String`	`numClassesTipText()` Returns the tip text for this property
`java.lang.String`	`numIrrelevantTipText()` Returns the tip text for this property
`java.lang.String`	`numNumericTipText()` Returns the tip text for this property
`void`	`setAttList_Irr(boolean[] newAttList_Irr)` Sets the array that defines which of the attributes are seen to be irrelevant.
`void`	`setMaxRuleSize(int newMaxRuleSize)` Sets the maximum number of tests in rules.
`void`	`setMinRuleSize(int newMinRuleSize)` Sets the minimum number of tests in rules.
`void`	`setNumAttributes(int numAttributes)` Sets the number of attributes the dataset should have.
`void`	`setNumClasses(int numClasses)` Sets the number of classes the dataset should have.
`void`	`setNumIrrelevant(int newNumIrrelevant)` Sets the number of irrelevant attributes.
`void`	`setNumNumeric(int newNumNumeric)` Sets the number of numerical attributes.
`void`	`setOptions(java.lang.String[] options)` Parses a list of options for this object.
`void`	`setVoteFlag(boolean newVoteFlag)` Sets the vote flag.
`java.lang.String`	`voteFlagTipText()` Returns the tip text for this property

Methods inherited from class weka.datagenerators.ClassificationGenerator
getNumExamples, numExamplesTipText, setNumExamples

Methods inherited from class weka.datagenerators.DataGenerator
debugTipText, defaultOutput, enumToVector, formatTipText, getDatasetFormat, getDebug, getEpilogue, getNumExamplesAct, getOutput, getPrologue, getRandom, getRelationName, getSeed, makeData, outputTipText, randomTipText, relationNameTipText, runDataGenerator, 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.OptionHandler
makeCopy

- Constructor Detail
  - RDG1
```
public RDG1()
```
    initializes the generator with default values
- Method Detail
  - globalInfo
```
public java.lang.String globalInfo()
```
    Returns a string describing this data generator.
    
    Returns:
    
    a description of the data generator suitable for displaying in the explorer/experimenter gui
  - listOptions
```
public java.util.Enumeration<Option> listOptions()
```
    Returns an enumeration describing the available options.
    
    Specified by:
    
    listOptions in interface OptionHandler
    
    Overrides:
    
    listOptions in class ClassificationGenerator
    
    Returns:
    
    an enumeration of all the available options
  - setOptions
```
public void setOptions(java.lang.String[] options)
                throws java.lang.Exception
```
    Parses a list of options for this object.
    Valid options are:
```
 -h
  Prints this help.
 
```
```
 -o <file>
  The name of the output file, otherwise the generated data is
  printed to stdout.
 
```
```
 -r <name>
  The name of the relation.
 
```
```
 -d
  Whether to print debug informations.
 
```
```
 -S
  The seed for random function (default 1)
 
```
```
 -n <num>
  The number of examples to generate (default 100)
 
```
```
 -a <num>
  The number of attributes (default 10).
 
```
```
 -c <num>
  The number of classes (default 2)
 
```
```
 -R <num>
  maximum size for rules (default 10)
 
```
```
 -M <num>
  minimum size for rules (default 1)
 
```
```
 -I <num>
  number of irrelevant attributes (default 0)
 
```
```
 -N
  number of numeric attributes (default 0)
 
```
```
 -V
  switch on voting (default is no voting)
 
```
    Specified by:
    
    setOptions in interface OptionHandler
    
    Overrides:
    
    setOptions in class ClassificationGenerator
    
    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 datagenerator RDG1.
    
    Specified by:
    
    getOptions in interface OptionHandler
    
    Overrides:
    
    getOptions in class ClassificationGenerator
    
    Returns:
    
    an array of strings suitable for passing to setOptions
    
    See Also:
    
    DataGenerator.removeBlacklist(String[])
  - setNumAttributes
```
public void setNumAttributes(int numAttributes)
```
    Sets the number of attributes the dataset should have.
    
    Parameters:
    
    numAttributes - the new number of attributes
  - getNumAttributes
```
public int getNumAttributes()
```
    Gets the number of attributes that should be produced.
    
    Returns:
    
    the number of attributes that should be produced
  - numAttributesTipText
```
public java.lang.String numAttributesTipText()
```
    Returns the tip text for this property
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - setNumClasses
```
public void setNumClasses(int numClasses)
```
    Sets the number of classes the dataset should have.
    
    Parameters:
    
    numClasses - the new number of classes
  - getNumClasses
```
public int getNumClasses()
```
    Gets the number of classes the dataset should have.
    
    Returns:
    
    the number of classes the dataset should have
  - numClassesTipText
```
public java.lang.String numClassesTipText()
```
    Returns the tip text for this property
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - getMaxRuleSize
```
public int getMaxRuleSize()
```
    Gets the maximum number of tests in rules.
    
    Returns:
    
    the maximum number of tests allowed in rules
  - setMaxRuleSize
```
public void setMaxRuleSize(int newMaxRuleSize)
```
    Sets the maximum number of tests in rules.
    
    Parameters:
    
    newMaxRuleSize - new maximum number of tests allowed in rules.
  - maxRuleSizeTipText
```
public java.lang.String maxRuleSizeTipText()
```
    Returns the tip text for this property
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - getMinRuleSize
```
public int getMinRuleSize()
```
    Gets the minimum number of tests in rules.
    
    Returns:
    
    the minimum number of tests allowed in rules
  - setMinRuleSize
```
public void setMinRuleSize(int newMinRuleSize)
```
    Sets the minimum number of tests in rules.
    
    Parameters:
    
    newMinRuleSize - new minimum number of test in rules.
  - minRuleSizeTipText
```
public java.lang.String minRuleSizeTipText()
```
    Returns the tip text for this property
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - getNumIrrelevant
```
public int getNumIrrelevant()
```
    Gets the number of irrelevant attributes.
    
    Returns:
    
    the number of irrelevant attributes
  - setNumIrrelevant
```
public void setNumIrrelevant(int newNumIrrelevant)
```
    Sets the number of irrelevant attributes.
    
    Parameters:
    
    newNumIrrelevant - the number of irrelevant attributes.
  - numIrrelevantTipText
```
public java.lang.String numIrrelevantTipText()
```
    Returns the tip text for this property
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - getNumNumeric
```
public int getNumNumeric()
```
    Gets the number of numerical attributes.
    
    Returns:
    
    the number of numerical attributes.
  - setNumNumeric
```
public void setNumNumeric(int newNumNumeric)
```
    Sets the number of numerical attributes.
    
    Parameters:
    
    newNumNumeric - the number of numerical attributes.
  - numNumericTipText
```
public java.lang.String numNumericTipText()
```
    Returns the tip text for this property
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - getVoteFlag
```
public boolean getVoteFlag()
```
    Gets the vote flag.
    
    Returns:
    
    voting flag.
  - setVoteFlag
```
public void setVoteFlag(boolean newVoteFlag)
```
    Sets the vote flag.
    
    Parameters:
    
    newVoteFlag - boolean with the new setting of the vote flag.
  - voteFlagTipText
```
public java.lang.String voteFlagTipText()
```
    Returns the tip text for this property
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - getSingleModeFlag
```
public boolean getSingleModeFlag()
```
    Gets the single mode flag.
    
    Specified by:
    
    getSingleModeFlag in class DataGenerator
    
    Returns:
    
    true if methode generateExample can be used.
  - getAttList_Irr
```
public boolean[] getAttList_Irr()
```
    Gets the array that defines which of the attributes are seen to be irrelevant.
    
    Returns:
    
    the array that defines the irrelevant attributes
  - setAttList_Irr
```
public void setAttList_Irr(boolean[] newAttList_Irr)
```
    Sets the array that defines which of the attributes are seen to be irrelevant.
    
    Parameters:
    
    newAttList_Irr - array that defines the irrelevant attributes.
  - attList_IrrTipText
```
public java.lang.String attList_IrrTipText()
```
    Returns the tip text for this property
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - defineDataFormat
```
public Instances defineDataFormat()
                           throws java.lang.Exception
```
    Initializes the format for the dataset produced.
    
    Overrides:
    
    defineDataFormat in class DataGenerator
    
    Returns:
    
    the output data format
    
    Throws:
    
    java.lang.Exception - data format could not be defined
    
    See Also:
    
    DataGenerator.defaultRelationName()
  - generateExample
```
public Instance generateExample()
                         throws java.lang.Exception
```
    Generate an example of the dataset dataset.
    
    Specified by:
    
    generateExample in class DataGenerator
    
    Returns:
    
    the instance generated
    
    Throws:
    
    java.lang.Exception - if format not defined or generating
    examples one by one is not possible, because voting is chosen
  - generateExamples
```
public Instances generateExamples()
                           throws java.lang.Exception
```
    Generate all examples of the dataset.
    
    Specified by:
    
    generateExamples in class DataGenerator
    
    Returns:
    
    the instance generated
    
    Throws:
    
    java.lang.Exception - if format not defined or generating
    examples one by one is not possible, because voting is chosen
  - generateExamples
```
public Instances generateExamples(int num,
                                  java.util.Random random,
                                  Instances format)
                           throws java.lang.Exception
```
    Generate all examples of the dataset.
    
    Parameters:
    
    num - the number of examples to generate
    
    random - the random number generator to use
    
    format - the dataset format
    
    Returns:
    
    the instance generated
    
    Throws:
    
    java.lang.Exception - if format not defined or generating
    examples one by one is not possible, because voting is chosen
  - generateStart
```
public java.lang.String generateStart()
```
    Generates a comment string that documentates the data generator. By default this string is added at the beginning of the produced output as ARFF file type, next after the options.
    
    Specified by:
    
    generateStart in class DataGenerator
    
    Returns:
    
    string contains info about the generated rules
  - generateFinished
```
public java.lang.String generateFinished()
                                  throws java.lang.Exception
```
    Compiles documentation about the data generation. This is the number of irrelevant attributes and the decisionlist with all rules. Considering that the decisionlist might get enhanced until the last instance is generated, this method should be called at the end of the data generation process.
    
    Specified by:
    
    generateFinished in class DataGenerator
    
    Returns:
    
    string with additional information about generated dataset
    
    Throws:
    
    java.lang.Exception - no input structure has been defined
  - getRevision
```
public java.lang.String getRevision()
```
    Returns the revision string.
    
    Returns:
    
    the revision
  - main
```
public static void main(java.lang.String[] args)
```
    Main method for testing this class.
    
    Parameters:
    
    args - should contain arguments for the data producer:

Class RDG1

Constructor Summary

Method Summary

Methods inherited from class weka.datagenerators.ClassificationGenerator

Methods inherited from class weka.datagenerators.DataGenerator

Methods inherited from class java.lang.Object

Methods inherited from interface weka.core.OptionHandler

Constructor Detail

RDG1

Method Detail

globalInfo

listOptions

setOptions

getOptions

setNumAttributes

getNumAttributes

numAttributesTipText

setNumClasses

getNumClasses

numClassesTipText

getMaxRuleSize

setMaxRuleSize

maxRuleSizeTipText

getMinRuleSize

setMinRuleSize

minRuleSizeTipText

getNumIrrelevant

setNumIrrelevant

numIrrelevantTipText

getNumNumeric

setNumNumeric

numNumericTipText

getVoteFlag

setVoteFlag

voteFlagTipText

getSingleModeFlag

getAttList_Irr

setAttList_Irr

attList_IrrTipText

defineDataFormat

generateExample

generateExamples

generateExamples

generateStart

generateFinished

getRevision

main