## 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 convergence 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.

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