mml.core.scripts.schedulers.create_scheduler

class CreateScheduler[source]

AbstractBaseScheduler implementation for the Dataset and Task creation process. Includes the following subroutines: - dataset - task

__init__(cfg: DictConfig)[source]

create_routine()[source]

This scheduler implements two subroutines, one for dataset preparation and one for task preparation.

Returns:: None

create_task(task_name)[source]

prepare_dataset(dset_name)[source]

prepare_exp() → None[source]: Prepare experiment expects tasks to be present and loads these into task factory container. Here this should be avoided.