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| Packages that use DataGenerator | |
|---|---|
| weka.datagenerators | |
| weka.datagenerators.classifiers.classification | |
| weka.datagenerators.classifiers.regression | |
| weka.datagenerators.clusterers | |
| weka.gui.explorer | |
| Uses of DataGenerator in weka.datagenerators |
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| Subclasses of DataGenerator in weka.datagenerators | |
|---|---|
class |
ClassificationGenerator
Abstract class for data generators for classifiers. |
class |
ClusterGenerator
Abstract class for cluster data generators. |
class |
RegressionGenerator
Abstract class for data generators for regression classifiers. |
| Methods in weka.datagenerators with parameters of type DataGenerator | |
|---|---|
static void |
DataGenerator.makeData(DataGenerator generator,
String[] options)
Calls the data generator. |
| Uses of DataGenerator in weka.datagenerators.classifiers.classification |
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| Subclasses of DataGenerator in weka.datagenerators.classifiers.classification | |
|---|---|
class |
Agrawal
Generates a people database and is based on the paper by Agrawal et al.: R. |
class |
BayesNet
Generates random instances based on a Bayes network. |
class |
LED24
This generator produces data for a display with 7 LEDs. |
class |
RandomRBF
RandomRBF data is generated by first creating a random set of centers for each class. |
class |
RDG1
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 |
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| Subclasses of DataGenerator in weka.datagenerators.classifiers.regression | |
|---|---|
class |
Expression
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 |
MexicanHat
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 |
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| Subclasses of DataGenerator in weka.datagenerators.clusterers | |
|---|---|
class |
BIRCHCluster
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 |
SubspaceCluster
A data generator that produces data points in hyperrectangular subspace clusters. |
| Uses of DataGenerator in weka.gui.explorer |
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| Methods in weka.gui.explorer that return DataGenerator | |
|---|---|
DataGenerator |
DataGeneratorPanel.getGenerator()
returns the currently selected DataGenerator |
| Methods in weka.gui.explorer with parameters of type DataGenerator | |
|---|---|
void |
DataGeneratorPanel.setGenerator(DataGenerator value)
sets the generator to use initially |
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