Class NoisyInterlockingCrescentsDataSource

java.lang.Object

org.tribuo.classification.example.DemoLabelDataSource

org.tribuo.classification.example.NoisyInterlockingCrescentsDataSource

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 NoisyInterlockingCrescentsDataSource
extends DemoLabelDataSource

A data source of two interleaved half circles with some zero mean Gaussian noise applied to each point.

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
NoisyInterlockingCrescentsDataSource(int numSamples, long seed, double variance)	Constructs a noisy interlocking crescents data source.

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

NoisyInterlockingCrescentsDataSource

public NoisyInterlockingCrescentsDataSource(int numSamples,
 long seed,
 double variance)

Constructs a noisy interlocking crescents data source.

It's the same as InterlockingCrescentsDataSource but each point has Gaussian noise with zero mean and the specified variance added to it.

Parameters:

numSamples - The number of samples to generate.

seed - The RNG seed.

variance - The variance of the Gaussian noise.

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