Class Expression
java.lang.Object
weka.datagenerators.DataGenerator
weka.datagenerators.RegressionGenerator
weka.datagenerators.classifiers.regression.MexicanHat
weka.datagenerators.classifiers.regression.Expression
- All Implemented Interfaces:
Serializable,OptionHandler,Randomizable,RevisionHandler
A data generator for generating y according to a
given expression out of randomly generated x.
E.g., the mexican hat can be generated like this:
sin(abs(a1)) / abs(a1)
In addition to this function, the amplitude can be changed and gaussian noise can be added. Valid options are:
E.g., the mexican hat can be generated like this:
sin(abs(a1)) / abs(a1)
In addition to this function, the amplitude can be changed and gaussian noise can be added. 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 amplitude multiplier (default 1.0).
-R <num>..<num> The range x is randomly drawn from (default -10.0..10.0).
-N <num> The noise rate (default 0.0).
-V <num> The noise variance (default 1.0).
-E <expression> The expression to use for generating y out of x (default sin(abs(a1)) / abs(a1)).
- Version:
- $Revision: 11504 $
- Author:
- FracPete (fracpete at waikato dot ac dot nz)
- See Also:
-
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionReturns the tip text for this propertyInitializes the format for the dataset produced.Returns the tip text for this propertyGenerates one example of the dataset.Generates all examples of the dataset.Generates a comment string that documentats the data generator.Generates a comment string that documentates the data generator.Gets the mathematical expression for generating y out of xString[]Gets the current settings of the datagenerator BIRCHCluster.Returns the revision string.booleanReturn if single mode is set for the given data generator mode depends on option setting and or generator type.Returns a string describing this data generator.Returns an enumeration describing the available options.static voidMain method for testing this class.voidsetExpression(String value) Sets the mathematical expression to generate y out of x.voidsetOptions(String[] options) Parses a list of options for this object.Methods inherited from class weka.datagenerators.classifiers.regression.MexicanHat
getAmplitude, getMaxRange, getMinRange, getNoiseRate, getNoiseVariance, maxRangeTipText, minRangeTipText, noiseRateTipText, noiseVarianceTipText, setAmplitude, setMaxRange, setMinRange, setNoiseRate, setNoiseVarianceMethods inherited from class weka.datagenerators.RegressionGenerator
getNumExamples, numExamplesTipText, setNumExamplesMethods 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
-
Constructor Details
-
Expression
public Expression()initializes the generator
-
-
Method Details
-
globalInfo
Returns a string describing this data generator.- Overrides:
globalInfoin classMexicanHat- Returns:
- a description of the data generator suitable for displaying in the explorer/experimenter gui
-
listOptions
Returns an enumeration describing the available options.- Specified by:
listOptionsin interfaceOptionHandler- Overrides:
listOptionsin classMexicanHat- Returns:
- an enumeration of all the available options
-
setOptions
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 amplitude multiplier (default 1.0).
-R <num>..<num> The range x is randomly drawn from (default -10.0..10.0).
-N <num> The noise rate (default 0.0).
-V <num> The noise variance (default 1.0).
-E <expression> The expression to use for generating y out of x (default sin(abs(a1)) / abs(a1)).
- Specified by:
setOptionsin interfaceOptionHandler- Overrides:
setOptionsin classMexicanHat- Parameters:
options- the list of options as an array of strings- Throws:
Exception- if an option is not supported
-
getOptions
Gets the current settings of the datagenerator BIRCHCluster.- Specified by:
getOptionsin interfaceOptionHandler- Overrides:
getOptionsin classMexicanHat- Returns:
- an array of strings suitable for passing to setOptions
- See Also:
-
DataGenerator.removeBlacklist(String[])
-
amplitudeTipText
Returns the tip text for this property- Overrides:
amplitudeTipTextin classMexicanHat- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
-
getExpression
Gets the mathematical expression for generating y out of x- Returns:
- the expression for computing y
-
setExpression
Sets the mathematical expression to generate y out of x.- Parameters:
value- the expression for computing y
-
expressionTipText
Returns the tip text for this property- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
-
getSingleModeFlag
Return if single mode is set for the given data generator mode depends on option setting and or generator type.- Overrides:
getSingleModeFlagin classMexicanHat- Returns:
- single mode flag
- Throws:
Exception- if mode is not set yet
-
defineDataFormat
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:
defineDataFormatin classMexicanHat- Returns:
- the format for the dataset
- Throws:
Exception- if the generating of the format failed- See Also:
-
generateExample
Generates one example of the dataset.- Overrides:
generateExamplein classMexicanHat- Returns:
- the generated example
- Throws:
Exception- if the format of the dataset is not yet definedException- if the generator only works with generateExamples which means in non single mode
-
generateExamples
Generates all examples of the dataset. Re-initializes the random number generator with the given seed, before generating instances.- Overrides:
generateExamplesin classMexicanHat- Returns:
- the generated dataset
- Throws:
Exception- if the format of the dataset is not yet definedException- if the generator only works with generateExample, which means in single mode- See Also:
-
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.- Overrides:
generateStartin classMexicanHat- Returns:
- string contains info about the generated rules
-
generateFinished
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.- Overrides:
generateFinishedin classMexicanHat- Returns:
- string contains info about the generated rules
- Throws:
Exception- if the generating of the documentaion fails
-
getRevision
Returns the revision string.- Specified by:
getRevisionin interfaceRevisionHandler- Overrides:
getRevisionin classMexicanHat- Returns:
- the revision
-
main
Main method for testing this class.- Parameters:
args- should contain arguments for the data producer:
-