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

Class MeanAbsValueConvergenceCheckerFactory

java.lang.Object

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

org.apache.ignite.ml.composition.boosting.convergence.mean.MeanAbsValueConvergenceCheckerFactory

public class MeanAbsValueConvergenceCheckerFactory
extends ConvergenceCheckerFactory

Factory for MeanAbsValueConvergenceChecker.

Field Summary

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

precision

Constructor Summary

Constructors

Constructor and Description
MeanAbsValueConvergenceCheckerFactory(double precision)

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

MeanAbsValueConvergenceCheckerFactory

public MeanAbsValueConvergenceCheckerFactory(double precision)

Parameters:

precision - Precision.

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.