Agrawal

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

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

public class Agrawal
extends ClassificationGenerator
implements TechnicalInformationHandler

Generates a people database and is based on the paper by Agrawal et al.:
R. Agrawal, T. Imielinski, A. Swami (1993). Database Mining: A Performance Perspective. IEEE Transactions on Knowledge and Data Engineering. 5(6):914-925. URL http://www.almaden.ibm.com/software/quest/Publications/ByDate.html.

BibTeX:

 @article{Agrawal1993,
    author = {R. Agrawal and T. Imielinski and A. Swami},
    journal = {IEEE Transactions on Knowledge and Data Engineering},
    note = {Special issue on Learning and Discovery in Knowledge-Based Databases},
    number = {6},
    pages = {914-925},
    title = {Database Mining: A Performance Perspective},
    volume = {5},
    year = {1993},
    URL = {http://www.almaden.ibm.com/software/quest/Publications/ByDate.html},
    PDF = {http://www.almaden.ibm.com/software/quest/Publications/papers/tkde93.pdf}
 }

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)

 -F <num>
  The function to use for generating the data. (default 1)

 -B
  Whether to balance the class.

 -P <num>
  The perturbation factor. (default 0.05)

Version:: $Revision: 1.6 $
Author:: Richard Kirkby (rkirkby at cs dot waikato dot ac dot nz), FracPete (fracpete at waikato dot ac dot nz)
See Also:: Serialized Form

Field Summary

Fields
Modifier and Type	Field and Description
`static int`	`FUNCTION_1` function 1
`static int`	`FUNCTION_10` function 10
`static int`	`FUNCTION_2` function 2
`static int`	`FUNCTION_3` function 3
`static int`	`FUNCTION_4` function 4
`static int`	`FUNCTION_5` function 5
`static int`	`FUNCTION_6` function 6
`static int`	`FUNCTION_7` function 7
`static int`	`FUNCTION_8` function 8
`static int`	`FUNCTION_9` function 9
`static Tag[]`	`FUNCTION_TAGS` the funtion tags

Constructor Summary

Constructors
Constructor and Description

Agrawal()
initializes the generator with default values

Constructors
Constructor and Description
`Agrawal()` 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`	`balanceClassTipText()` Returns the tip text for this property
`Instances`	`defineDataFormat()` Initializes the format for the dataset produced.
`java.lang.String`	`functionTipText()` Returns the tip text for this property
`Instance`	`generateExample()` Generates one example of the dataset.
`Instances`	`generateExamples()` Generates all examples of the dataset.
`java.lang.String`	`generateFinished()` Generates a comment string that documentats the data generator.
`java.lang.String`	`generateStart()` Generates a comment string that documentates the data generator.
`boolean`	`getBalanceClass()` Gets whether the class is balanced.
`SelectedTag`	`getFunction()` Gets the function for generating the data.
`java.lang.String[]`	`getOptions()` Gets the current settings of the datagenerator.
`double`	`getPerturbationFraction()` Gets the perturbation fraction.
`java.lang.String`	`getRevision()` Returns the revision string.
`boolean`	`getSingleModeFlag()` Return if single mode is set for the given data generator mode depends on option setting and or generator type.
`TechnicalInformation`	`getTechnicalInformation()` Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
`java.lang.String`	`globalInfo()` Returns a string describing this data generator.
`java.util.Enumeration`	`listOptions()` Returns an enumeration describing the available options.
`static void`	`main(java.lang.String[] args)` Main method for executing this class.
`java.lang.String`	`perturbationFractionTipText()` Returns the tip text for this property
`void`	`setBalanceClass(boolean value)` Sets whether the class is balanced.
`void`	`setFunction(SelectedTag value)` Sets the function for generating the data.
`void`	`setOptions(java.lang.String[] options)` Parses a list of options for this object.
`void`	`setPerturbationFraction(double value)` Sets the perturbation fraction.

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

Methods inherited from class weka.datagenerators.DataGenerator
debugTipText, defaultOutput, formatTipText, getDatasetFormat, getDebug, getNumExamplesAct, getOutput, getRandom, getRelationName, getSeed, 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

- Field Detail
  - FUNCTION_1
```
public static final int FUNCTION_1
```
    function 1
    
    See Also:
    
    Constant Field Values
  - FUNCTION_2
```
public static final int FUNCTION_2
```
    function 2
    
    See Also:
    
    Constant Field Values
  - FUNCTION_3
```
public static final int FUNCTION_3
```
    function 3
    
    See Also:
    
    Constant Field Values
  - FUNCTION_4
```
public static final int FUNCTION_4
```
    function 4
    
    See Also:
    
    Constant Field Values
  - FUNCTION_5
```
public static final int FUNCTION_5
```
    function 5
    
    See Also:
    
    Constant Field Values
  - FUNCTION_6
```
public static final int FUNCTION_6
```
    function 6
    
    See Also:
    
    Constant Field Values
  - FUNCTION_7
```
public static final int FUNCTION_7
```
    function 7
    
    See Also:
    
    Constant Field Values
  - FUNCTION_8
```
public static final int FUNCTION_8
```
    function 8
    
    See Also:
    
    Constant Field Values
  - FUNCTION_9
```
public static final int FUNCTION_9
```
    function 9
    
    See Also:
    
    Constant Field Values
  - FUNCTION_10
```
public static final int FUNCTION_10
```
    function 10
    
    See Also:
    
    Constant Field Values
  - FUNCTION_TAGS
```
public static final Tag[] FUNCTION_TAGS
```
    the funtion tags
- Constructor Detail
  - Agrawal
```
public Agrawal()
```
    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
  - getTechnicalInformation
```
public TechnicalInformation getTechnicalInformation()
```
    Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
    
    Specified by:
    
    getTechnicalInformation in interface TechnicalInformationHandler
    
    Returns:
    
    the technical information about this class
  - listOptions
```
public java.util.Enumeration 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)
```
```
 -F <num>
  The function to use for generating the data. (default 1)
```
```
 -B
  Whether to balance the class.
```
```
 -P <num>
  The perturbation factor. (default 0.05)
```
    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.
    
    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[])
  - getFunction
```
public SelectedTag getFunction()
```
    Gets the function for generating the data.
    
    Returns:
    
    the function.
    
    See Also:
    
    FUNCTION_TAGS
  - setFunction
```
public void setFunction(SelectedTag value)
```
    Sets the function for generating the data.
    
    Parameters:
    
    value - the function.
    
    See Also:
    
    FUNCTION_TAGS
  - functionTipText
```
public java.lang.String functionTipText()
```
    Returns the tip text for this property
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - getBalanceClass
```
public boolean getBalanceClass()
```
    Gets whether the class is balanced.
    
    Returns:
    
    whether the class is balanced.
  - setBalanceClass
```
public void setBalanceClass(boolean value)
```
    Sets whether the class is balanced.
    
    Parameters:
    
    value - whether to balance the class.
  - balanceClassTipText
```
public java.lang.String balanceClassTipText()
```
    Returns the tip text for this property
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - getPerturbationFraction
```
public double getPerturbationFraction()
```
    Gets the perturbation fraction.
    
    Returns:
    
    the perturbation fraction.
  - setPerturbationFraction
```
public void setPerturbationFraction(double value)
```
    Sets the perturbation fraction.
    
    Parameters:
    
    value - the perturbation fraction.
  - perturbationFractionTipText
```
public java.lang.String perturbationFractionTipText()
```
    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()
                          throws java.lang.Exception
```
    Return if single mode is set for the given data generator mode depends on option setting and or generator type.
    
    Specified by:
    
    getSingleModeFlag in class DataGenerator
    
    Returns:
    
    single mode flag
    
    Throws:
    
    java.lang.Exception - if mode is not set yet
  - defineDataFormat
```
public Instances defineDataFormat()
                           throws java.lang.Exception
```
    Initializes the format for the dataset produced. Must be called before the generateExample or generateExamples methods are used. Re-initializes the random number generator with the given seed.
    
    Overrides:
    
    defineDataFormat in class DataGenerator
    
    Returns:
    
    the format for the dataset
    
    Throws:
    
    java.lang.Exception - if the generating of the format failed
    
    See Also:
    
    DataGenerator.getSeed()
  - generateExample
```
public Instance generateExample()
                         throws java.lang.Exception
```
    Generates one example of the dataset.
    
    Specified by:
    
    generateExample in class DataGenerator
    
    Returns:
    
    the generated example
    
    Throws:
    
    java.lang.Exception - if the format of the dataset is not yet defined
    
    java.lang.Exception - if the generator only works with generateExamples which means in non single mode
  - generateExamples
```
public Instances generateExamples()
                           throws java.lang.Exception
```
    Generates all examples of the dataset. Re-initializes the random number generator with the given seed, before generating instances.
    
    Specified by:
    
    generateExamples in class DataGenerator
    
    Returns:
    
    the generated dataset
    
    Throws:
    
    java.lang.Exception - if the format of the dataset is not yet defined
    
    java.lang.Exception - if the generator only works with generateExample, which means in single mode
    
    See Also:
    
    DataGenerator.getSeed()
  - 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
```
    Generates a comment string that documentats the data generator. By default this string is added at the end of theproduces output as ARFF file type.
    
    Specified by:
    
    generateFinished in class DataGenerator
    
    Returns:
    
    string contains info about the generated rules
    
    Throws:
    
    java.lang.Exception - if the generating of the documentaion fails
  - getRevision
```
public java.lang.String getRevision()
```
    Returns the revision string.
    
    Specified by:
    
    getRevision in interface RevisionHandler
    
    Returns:
    
    the revision
  - main
```
public static void main(java.lang.String[] args)
```
    Main method for executing this class.
    
    Parameters:
    
    args - should contain arguments for the data producer:

Class Agrawal

Field Summary

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

Field Detail

FUNCTION_1

FUNCTION_2

FUNCTION_3

FUNCTION_4

FUNCTION_5

FUNCTION_6

FUNCTION_7

FUNCTION_8

FUNCTION_9

FUNCTION_10

FUNCTION_TAGS

Constructor Detail

Agrawal

Method Detail

globalInfo

getTechnicalInformation

listOptions

setOptions

getOptions

getFunction

setFunction

functionTipText

getBalanceClass

setBalanceClass

balanceClassTipText

getPerturbationFraction

setPerturbationFraction

perturbationFractionTipText

getSingleModeFlag

defineDataFormat

generateExample

generateExamples

generateStart

generateFinished

getRevision

main