Class GaussianLabelDataSource

java.lang.Object

org.tribuo.classification.example.DemoLabelDataSource

org.tribuo.classification.example.GaussianLabelDataSource

All Implemented Interfaces:

com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<DataSourceProvenance>, Iterable<Example<Label>>, ConfigurableDataSource<Label>, DataSource<Label>

public final class GaussianLabelDataSource
extends DemoLabelDataSource

A data source for two classes generated from separate Gaussians.

Nested Class Summary

Nested classes/interfaces inherited from class org.tribuo.classification.example.DemoLabelDataSource

DemoLabelDataSource.DemoLabelDataSourceProvenance

Field Summary

Fields inherited from class org.tribuo.classification.example.DemoLabelDataSource

examples, factory, FIRST_CLASS, numSamples, rng, SECOND_CLASS, seed, X1, X2

Constructor Summary

Constructors

Constructor	Description
GaussianLabelDataSource(int numSamples, long seed, double[] firstMean, double[] firstCovarianceMatrix, double[] secondMean, double[] secondCovarianceMatrix)	Constructs a data source which contains two classes where each class is sampled from a 2d Gaussian with the specified parameters.

Method Summary

Modifier and Type	Method	Description
protected List<Example<Label>>	generate()	Generates the examples using the configured fields.
void	postConfig()	Used by the OLCUT configuration system, and should not be called by external code.
String	toString()

Methods inherited from class org.tribuo.classification.example.DemoLabelDataSource

getOutputFactory, getProvenance, iterator

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.lang.Iterable

forEach, spliterator

Constructor Details

GaussianLabelDataSource

public GaussianLabelDataSource(int numSamples,
 long seed,
 double[] firstMean,
 double[] firstCovarianceMatrix,
 double[] secondMean,
 double[] secondCovarianceMatrix)

Constructs a data source which contains two classes where each class is sampled from a 2d Gaussian with the specified parameters.

Parameters:

numSamples - The number of samples to draw.

seed - The RNG seed.

firstMean - The mean of class one's Gaussian.

firstCovarianceMatrix - The covariance matrix of class one's Gaussian.

secondMean - The mean of class two's Gaussian.

secondCovarianceMatrix - The covariance matrix of class two's Gaussian.

Method Details

postConfig

public void postConfig()

Used by the OLCUT configuration system, and should not be called by external code.

Specified by:

postConfig in interface com.oracle.labs.mlrg.olcut.config.Configurable

Overrides:

postConfig in class DemoLabelDataSource

generate

protected List<Example<Label>> generate()

Description copied from class: DemoLabelDataSource

Generates the examples using the configured fields.

Is called internally by DemoLabelDataSource.postConfig().

Specified by:

generate in class DemoLabelDataSource

Returns:

The generated examples.

toString

public String toString()

Overrides:

toString in class Object