Uses of Class
weka.datagenerators.DataGenerator
Packages that use DataGenerator
Package
Description
-
Uses of DataGenerator in weka.datagenerators
Subclasses of DataGenerator in weka.datageneratorsModifier and TypeClassDescriptionclass
Abstract class for data generators for classifiers.class
Abstract class for cluster data generators.class
Abstract class for data generators for regression classifiers.Methods in weka.datagenerators with parameters of type DataGeneratorModifier and TypeMethodDescriptionstatic void
DataGenerator.makeData
(DataGenerator generator, String[] options) Calls the data generator.static void
DataGenerator.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.classificationModifier and TypeClassDescriptionclass
Generates a people database and is based on the paper by Agrawal et al.:
R.class
Generates random instances based on a Bayes network.class
This generator produces data for a display with 7 LEDs.class
RandomRBF data is generated by first creating a random set of centers for each class.class
A 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.regressionModifier and TypeClassDescriptionclass
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.class
A 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.clusterersModifier and TypeClassDescriptionclass
Cluster 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.class
A data generator that produces data points in hyperrectangular subspace clusters. -
Uses of DataGenerator in weka.gui.explorer
Methods in weka.gui.explorer that return DataGeneratorModifier and TypeMethodDescriptionDataGeneratorPanel.getGenerator()
returns the currently selected DataGeneratorMethods in weka.gui.explorer with parameters of type DataGeneratorModifier and TypeMethodDescriptionvoid
DataGeneratorPanel.setGenerator
(DataGenerator value) sets the generator to use initially -
Uses of DataGenerator in weka.knowledgeflow.steps
Methods in weka.knowledgeflow.steps that return DataGeneratorMethods in weka.knowledgeflow.steps with parameters of type DataGeneratorModifier and TypeMethodDescriptionvoid
DataGenerator.setDataGenerator
(DataGenerator dataGenerator) Set the data generator