org.apache.ignite.ml.composition.boosting.convergence.simple

Class ConvergenceCheckerStubFactory

java.lang.Object

org.apache.ignite.ml.composition.boosting.convergence.ConvergenceCheckerFactory

org.apache.ignite.ml.composition.boosting.convergence.simple.ConvergenceCheckerStubFactory

public class ConvergenceCheckerStubFactory
extends ConvergenceCheckerFactory

Factory for ConvergenceCheckerStub.

Field Summary

Fields inherited from class org.apache.ignite.ml.composition.boosting.convergence.ConvergenceCheckerFactory

precision

Constructor Summary

Constructors

Constructor and Description
ConvergenceCheckerStubFactory() Create an instance of ConvergenceCheckerStubFactory.

Method Summary

Modifier and Type	Method and Description
<K,V> ConvergenceChecker<K,V>	create(long sampleSize, IgniteFunction<Double,Double> externalLbToInternalMapping, Loss loss, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> preprocessor) Create an instance of ConvergenceChecker.

Methods inherited from class java.lang.Object

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

Constructor Detail

ConvergenceCheckerStubFactory

public ConvergenceCheckerStubFactory()

Create an instance of ConvergenceCheckerStubFactory.

Method Detail

create

public <K,V> ConvergenceChecker<K,V> create(long sampleSize,
                                            IgniteFunction<Double,Double> externalLbToInternalMapping,
                                            Loss loss,
                                            DatasetBuilder<K,V> datasetBuilder,
                                            Preprocessor<K,V> preprocessor)

Create an instance of ConvergenceChecker.

Specified by:

create in class ConvergenceCheckerFactory

Parameters:

sampleSize - Sample size.

externalLbToInternalMapping - External label to internal mapping.

loss - Loss function.

datasetBuilder - Dataset builder.

preprocessor - Upstream vectorizer.

Returns:

ConvergenceCheckerFactory instance.