# Package org.apache.ignite.ml.environment.parallelism

Package contains realisations of parallelism strategies for multi-thread algorithms.

See: Description

- Interface Summary
  Interface | Description
  --- | ---
  ParallelismStrategy | Specifies the behaviour of processes in ML-algorithms that can may be parallelized such as parallel learning in bagging, learning submodels for One-vs-All model, Cross-Validation etc.
  Promise<T> | Future interface extension for lambda-friendly interface.

- Class Summary
  Class | Description
  --- | ---
  DefaultParallelismStrategy | All task should be processed by default thread pool.
  DefaultParallelismStrategy.FutureWrapper<T> | Wrapper for future class.
  NoParallelismStrategy | All tasks should be processed in one thread.
  NoParallelismStrategy.Stub<T> | Stub for Future interface implementation.

- Enum Summary
  Enum | Description
  --- | ---
  ParallelismStrategy.Type | The type of parallelism.

## Package org.apache.ignite.ml.environment.parallelism Description

Package contains realisations of parallelism strategies for multi-thread algorithms.

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Ignite Database and Caching Platform | : ver. 2.12.0
Release Date | : January 10 2022