Uses of Class
org.apache.ignite.ml.composition.boosting.convergence.ConvergenceChecker

Packages that use ConvergenceChecker

Package	Description
org.apache.ignite.ml.composition.boosting.convergence	Package contains implementation of convergency checking algorithms for gradient boosting.
org.apache.ignite.ml.composition.boosting.convergence.mean	Contains implementation of convergence checking computer by mean of absolute value of errors in dataset.
org.apache.ignite.ml.composition.boosting.convergence.median	Contains implementation of convergence checking computer by median of medians of errors in dataset.
org.apache.ignite.ml.composition.boosting.convergence.simple	Contains implementation of Stub for convergence checking.

Uses of ConvergenceChecker in org.apache.ignite.ml.composition.boosting.convergence

Methods in org.apache.ignite.ml.composition.boosting.convergence that return ConvergenceChecker

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

Uses of ConvergenceChecker in org.apache.ignite.ml.composition.boosting.convergence.mean

Subclasses of ConvergenceChecker in org.apache.ignite.ml.composition.boosting.convergence.mean

Modifier and Type	Class and Description
class	MeanAbsValueConvergenceChecker<K,V> Use mean value of errors for estimating error on dataset.

Methods in org.apache.ignite.ml.composition.boosting.convergence.mean that return ConvergenceChecker

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

Uses of ConvergenceChecker in org.apache.ignite.ml.composition.boosting.convergence.median

Subclasses of ConvergenceChecker in org.apache.ignite.ml.composition.boosting.convergence.median

Modifier and Type	Class and Description
class	MedianOfMedianConvergenceChecker<K,V> Use median of median on partitions value of errors for estimating error on dataset.

Methods in org.apache.ignite.ml.composition.boosting.convergence.median that return ConvergenceChecker

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

Uses of ConvergenceChecker in org.apache.ignite.ml.composition.boosting.convergence.simple

Subclasses of ConvergenceChecker in org.apache.ignite.ml.composition.boosting.convergence.simple

Modifier and Type	Class and Description
class	ConvergenceCheckerStub<K,V> This strategy skip estimating error on dataset step.

Methods in org.apache.ignite.ml.composition.boosting.convergence.simple that return ConvergenceChecker

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