multiml.agent.basic.random_search module

RandomSearchAgent module.

class multiml.agent.basic.random_search.RandomSearchAgent(samplings=None, seed=0, metric_type=None, num_workers=None, context='spawn', dump_all_results=False, disable_tqdm=True, **kwargs)

Bases: SequentialAgent

Agent executing random search..

__init__(samplings=None, seed=0, metric_type=None, num_workers=None, context='spawn', dump_all_results=False, disable_tqdm=True, **kwargs)

Initialize simple agent.

Parameters:

• samplings (int or list) – If int, number of random samplings. If list, indexes of combination.

• seed (int) – seed of random samplings.

• metric_type (str) – ‘min’ or ‘max’ for indicating direction of metric optimization. If it is None, type is retrieved from metric class instance.

• num_workers (int or list) – number of workers for multiprocessing or lsit of GPU ids. If num_workers is given, multiprocessing is enabled.

• context (str) – fork (default) or spawn.

• dump_all_results (bool) – dump all results or not.

• disable_tqdm (bool) – enable tqdm bar.

property history

Return history of execution.

execute()

Execute simple agent.

finalize()

Finalize grid scan agent.

execute_jobs(ctx, queue, args)

(expert method) Execute multiprocessing jobs.

execute_pool_jobs(ctx, queue, args)

(expert method) Execute multiprocessing pool jobs.

execute_wrapper(queue, subtasktuples, counter, cuda_id)

(expert method) Wrapper method to execute multiprocessing pipeline.