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java.lang.Objectweka.datagenerators.DataGenerator
weka.datagenerators.ClassificationGenerator
weka.datagenerators.classifiers.classification.LED24
public class LED24
This generator produces data for a display with 7 LEDs. The original output consists of 10 concepts and 7 boolean attributes. Here, in addition to the 7 necessary boolean attributes, 17 other, irrelevant boolean attributes with random values are added to make it harder. By default 10 percent of noise are added to the data.
More information can be found here:
L. Breiman J.H. Friedman R.A. Olshen, C.J. Stone (1984). Classification and Regression Trees. Belmont, California. URL http://www.ics.uci.edu/~mlearn/databases/led-display-creator/.
@inbook{Olshen1984, address = {Belmont, California}, author = {L. Breiman J.H. Friedman R.A. Olshen and C.J. Stone}, pages = {43-49}, publisher = {Wadsworth International Group}, title = {Classification and Regression Trees}, year = {1984}, ISBN = {0412048418}, URL = {http://www.ics.uci.edu/\~mlearn/databases/led-display-creator/} }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)
-N <num> The noise percentage. (default 10.0)
Constructor Summary | |
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LED24()
initializes the generator with default values |
Method Summary | |
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Instances |
defineDataFormat()
Initializes the format for the dataset produced. |
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. |
double |
getNoisePercent()
Gets the noise percentage. |
java.lang.String[] |
getOptions()
Gets the current settings of the datagenerator. |
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 |
noisePercentTipText()
Returns the tip text for this property |
void |
setNoisePercent(double value)
Sets the noise percentage. |
void |
setOptions(java.lang.String[] options)
Parses a list of options for this object. |
Methods inherited from class weka.datagenerators.ClassificationGenerator |
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getNumExamples, numExamplesTipText, setNumExamples |
Methods inherited from class weka.datagenerators.DataGenerator |
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debugTipText, defaultOutput, formatTipText, getDatasetFormat, getDebug, getOutput, getRandom, getRelationName, getSeed, makeData, outputTipText, randomTipText, relationNameTipText, seedTipText, setDatasetFormat, setDebug, setOutput, setRandom, setRelationName, setSeed |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public LED24()
Method Detail |
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public java.lang.String globalInfo()
public TechnicalInformation getTechnicalInformation()
getTechnicalInformation
in interface TechnicalInformationHandler
public java.util.Enumeration listOptions()
listOptions
in interface OptionHandler
listOptions
in class ClassificationGenerator
public void setOptions(java.lang.String[] options) throws java.lang.Exception
-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)
-N <num> The noise percentage. (default 10.0)
setOptions
in interface OptionHandler
setOptions
in class ClassificationGenerator
options
- the list of options as an array of strings
java.lang.Exception
- if an option is not supportedpublic java.lang.String[] getOptions()
getOptions
in interface OptionHandler
getOptions
in class ClassificationGenerator
DataGenerator.removeBlacklist(String[])
public double getNoisePercent()
public void setNoisePercent(double value)
value
- the noise percentage.public java.lang.String noisePercentTipText()
public boolean getSingleModeFlag() throws java.lang.Exception
getSingleModeFlag
in class DataGenerator
java.lang.Exception
- if mode is not set yetpublic Instances defineDataFormat() throws java.lang.Exception
defineDataFormat
in class DataGenerator
java.lang.Exception
- if the generating of the format failedDataGenerator.getSeed()
public Instance generateExample() throws java.lang.Exception
generateExample
in class DataGenerator
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 modepublic Instances generateExamples() throws java.lang.Exception
generateExamples
in class DataGenerator
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 modeDataGenerator.getSeed()
public java.lang.String generateStart()
generateStart
in class DataGenerator
public java.lang.String generateFinished() throws java.lang.Exception
generateFinished
in class DataGenerator
java.lang.Exception
- if the generating of the documentaion failspublic static void main(java.lang.String[] args)
args
- should contain arguments for the data producer:
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