das.postprocessing#

das.postprocessing.optimize(dataset_path: str, model_save_name: str, gap_durs: List[float], min_lens: List[float], nb_workers: Optional[int] = - 1) → Tuple[float, float, Dict[str, Union[float, List[float]]]][source]#

[summary]

Parameters

  • dataset_path (str) – [description]

  • model_save_name (str) – [description]

  • gap_durs (List[float], optional) – in seconds.

  • min_lens (List[float], optional) – in seconds.

  • nb_workers (int, optional) – Number of parallel workers to use. Defaults to -1 (same as cores).

Returns

[description]

Return type

Tuple[float, float, Dict[str, Union[float, List[float]]]]