Uses of Class
weka.datagenerators.DataGenerator
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Uses of DataGenerator in weka.datagenerators
Subclasses of DataGenerator in weka.datagenerators Modifier and Type Class Description classClassificationGeneratorAbstract class for data generators for classifiers.classClusterGeneratorAbstract class for cluster data generators.classRegressionGeneratorAbstract class for data generators for regression classifiers.Methods in weka.datagenerators with parameters of type DataGenerator Modifier and Type Method Description static voidDataGenerator. makeData(DataGenerator generator, String[] options)Calls the data generator.static voidDataGenerator. runDataGenerator(DataGenerator datagenerator, String[] options)runs the datagenerator instance with the given options. -
Uses of DataGenerator in weka.datagenerators.classifiers.classification
Subclasses of DataGenerator in weka.datagenerators.classifiers.classification Modifier and Type Class Description classAgrawalGenerates a people database and is based on the paper by Agrawal et al.:
R.classBayesNetGenerates random instances based on a Bayes network.classLED24This generator produces data for a display with 7 LEDs.classRandomRBFRandomRBF data is generated by first creating a random set of centers for each class.classRDG1A data generator that produces data randomly by producing a decision list.
The decision list consists of rules.
Instances are generated randomly one by one. -
Uses of DataGenerator in weka.datagenerators.classifiers.regression
Subclasses of DataGenerator in weka.datagenerators.classifiers.regression Modifier and Type Class Description classExpressionA 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.classMexicanHatA data generator for the simple 'Mexian Hat' function:
y = sin|x| / |x|
In addition to this simple function, the amplitude can be changed and gaussian noise can be added. -
Uses of DataGenerator in weka.datagenerators.clusterers
Subclasses of DataGenerator in weka.datagenerators.clusterers Modifier and Type Class Description classBIRCHClusterCluster data generator designed for the BIRCH System
Dataset is generated with instances in K clusters.
Instances are 2-d data points.
Each cluster is characterized by the number of data points in itits radius and its center.classSubspaceClusterA data generator that produces data points in hyperrectangular subspace clusters. -
Uses of DataGenerator in weka.gui.explorer
Methods in weka.gui.explorer that return DataGenerator Modifier and Type Method Description DataGeneratorDataGeneratorPanel. getGenerator()returns the currently selected DataGeneratorMethods in weka.gui.explorer with parameters of type DataGenerator Modifier and Type Method Description voidDataGeneratorPanel. setGenerator(DataGenerator value)sets the generator to use initially -
Uses of DataGenerator in weka.knowledgeflow.steps
Methods in weka.knowledgeflow.steps that return DataGenerator Modifier and Type Method Description DataGeneratorDataGenerator. getDataGenerator()get the data generatorMethods in weka.knowledgeflow.steps with parameters of type DataGenerator Modifier and Type Method Description voidDataGenerator. setDataGenerator(DataGenerator dataGenerator)Set the data generator
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