replicate_pipeline_from_config

replicate_pipeline_from_config(config: Mapping[str, Any], directory: str | Path, replicates: int, move_to_cpu: bool = False, save_replicates: bool = True, save_training: bool = False, keep_seed: bool = False, **kwargs) → None[source]

Run the same pipeline several times from a configuration dictionary.

Parameters:

  • config (Mapping[str, Any]) – The configuration dictionary for the experiment.

  • directory (str | Path) – The output directory

  • replicates (int) – The number of replicates to run

  • move_to_cpu (bool) – Should the models be moved back to the CPU? Only relevant if training on GPU.

  • save_replicates (bool) – Should the artifacts of the replicates be saved?

  • kwargs – Keyword arguments to be passed through to pipeline_from_config().

  • save_training (bool) – whether to save the training factory.

  • keep_seed (bool) – whether to keep the random seed in a configuration

Return type:

None