ParallelLocalRunner¶

class ParallelLocalRunner(n_jobs: int = 1, backend: str = 'multiprocessing', mmap_mode: str = 'c', joblib_params: Optional[dict] = None)[source]¶

Bases: etna.auto.runner.base.AbstractRunner

ParallelLocalRunner for multiple parallel runs with joblib.

Notes

Global objects behavior could be different while parallel usage because platform dependent new process start. Be sure that new process is started with fork via multiprocessing.set_start_method. If it’s not possible you should try define all globals before if __name__ == "__main__" scope.

Init ParallelLocalRunner.

Parameters

n_jobs (int) – number of parallel jobs to use
backend (str) – joblib backend to use
mmap_mode (str) – joblib mmap mode
joblib_params (Optional[dict]) – joblib additional params

Inherited-members