类 RandomRBF
java.lang.Object
weka.datagenerators.DataGenerator
weka.datagenerators.ClassificationGenerator
weka.datagenerators.classifiers.classification.RandomRBF
- 所有已实现的接口:
Serializable
,OptionHandler
,Randomizable
,RevisionHandler
RandomRBF data is generated by first creating a random set of centers for each class. Each center is randomly assigned a weight, a central point per attribute, and a standard deviation. To generate new instances, a center is chosen at random taking the weights of each center into consideration. Attribute values are randomly generated and offset from the center, where the overall vector has been scaled so that its length equals a value sampled randomly from the Gaussian distribution of the center. The particular center chosen determines the class of the instance.
RandomRBF data contains only numeric attributes as it is non-trivial to include nominal values. Valid options are:
RandomRBF data contains only numeric attributes as it is non-trivial to include nominal 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)
-C <num> The number of centroids to use. (default 50)
- 版本:
- $Revision: 1.4 $
- 作者:
- Richard Kirkby (rkirkby at cs dot waikato dot ac dot nz), FracPete (fracpete at waikato dot ac dot nz)
- 另请参阅:
-
构造器概要
构造器 -
方法概要
修饰符和类型方法说明Initializes the format for the dataset produced.Generates 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.int
Gets the number of attributes that should be produced.int
Gets the number of centroids.int
Gets the number of classes the dataset should have.String[]
Gets the current settings of the datagenerator.Returns the revision string.boolean
Return 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 void
Main method for executing this class.Returns the tip text for this propertyReturns the tip text for this propertyReturns the tip text for this propertyvoid
setNumAttributes
(int numAttributes) Sets the number of attributes the dataset should have.void
setNumCentroids
(int value) Sets the number of centroids to use.void
setNumClasses
(int numClasses) Sets the number of classes the dataset should have.void
setOptions
(String[] options) Parses a list of options for this object.从类继承的方法 weka.datagenerators.ClassificationGenerator
getNumExamples, numExamplesTipText, setNumExamples
从类继承的方法 weka.datagenerators.DataGenerator
debugTipText, defaultOutput, formatTipText, getDatasetFormat, getDebug, getNumExamplesAct, getOutput, getRandom, getRelationName, getSeed, makeData, outputTipText, randomTipText, relationNameTipText, seedTipText, setDatasetFormat, setDebug, setOutput, setRandom, setRelationName, setSeed
-
构造器详细资料
-
RandomRBF
public RandomRBF()initializes the generator with default values
-
-
方法详细资料
-
globalInfo
Returns a string describing this data generator.- 返回:
- a description of the data generator suitable for displaying in the explorer/experimenter gui
-
listOptions
Returns an enumeration describing the available options.- 指定者:
listOptions
在接口中OptionHandler
- 覆盖:
listOptions
在类中ClassificationGenerator
- 返回:
- 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 number of attributes (default 10).
-c <num> The number of classes (default 2)
-C <num> The number of centroids to use. (default 50)
- 指定者:
setOptions
在接口中OptionHandler
- 覆盖:
setOptions
在类中ClassificationGenerator
- 参数:
options
- the list of options as an array of strings- 抛出:
Exception
- if an option is not supported
-
getOptions
Gets the current settings of the datagenerator.- 指定者:
getOptions
在接口中OptionHandler
- 覆盖:
getOptions
在类中ClassificationGenerator
- 返回:
- an array of strings suitable for passing to setOptions
- 另请参阅:
-
DataGenerator.removeBlacklist(String[])
-
setNumAttributes
public void setNumAttributes(int numAttributes) Sets the number of attributes the dataset should have.- 参数:
numAttributes
- the new number of attributes
-
getNumAttributes
public int getNumAttributes()Gets the number of attributes that should be produced.- 返回:
- the number of attributes that should be produced
-
numAttributesTipText
Returns the tip text for this property- 返回:
- 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.- 参数:
numClasses
- the new number of classes
-
getNumClasses
public int getNumClasses()Gets the number of classes the dataset should have.- 返回:
- the number of classes the dataset should have
-
numClassesTipText
Returns the tip text for this property- 返回:
- tip text for this property suitable for displaying in the explorer/experimenter gui
-
getNumCentroids
public int getNumCentroids()Gets the number of centroids.- 返回:
- the number of centroids.
-
setNumCentroids
public void setNumCentroids(int value) Sets the number of centroids to use.- 参数:
value
- the number of centroids to use.
-
numCentroidsTipText
Returns the tip text for this property- 返回:
- 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.- 指定者:
getSingleModeFlag
在类中DataGenerator
- 返回:
- single mode flag
- 抛出:
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.- 覆盖:
defineDataFormat
在类中DataGenerator
- 返回:
- the format for the dataset
- 抛出:
Exception
- if the generating of the format failed- 另请参阅:
-
generateExample
Generates one example of the dataset.- 指定者:
generateExample
在类中DataGenerator
- 返回:
- the generated example
- 抛出:
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.- 指定者:
generateExamples
在类中DataGenerator
- 返回:
- the generated dataset
- 抛出:
Exception
- if the format of the dataset is not yet definedException
- if the generator only works with generateExample, which means in single mode- 另请参阅:
-
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.- 指定者:
generateStart
在类中DataGenerator
- 返回:
- 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.- 指定者:
generateFinished
在类中DataGenerator
- 返回:
- string contains info about the generated rules
- 抛出:
Exception
- if the generating of the documentaion fails
-
getRevision
Returns the revision string.- 返回:
- the revision
-
main
Main method for executing this class.- 参数:
args
- should contain arguments for the data producer:
-