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"""Search execution utilities for hyperparameter optimization. |
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Author: Simon Blanke |
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Email: [email protected] |
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License: MIT License |
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""" |
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from .distribution import ( |
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joblib_wrapper, |
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multiprocessing_wrapper, |
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pathos_wrapper, |
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single_process, |
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) |
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from .process import _process_ |
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def proxy(args): |
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"""Proxy function.""" |
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return _process_(*args) |
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dist_dict = { |
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"joblib": (joblib_wrapper, _process_), |
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"multiprocessing": (multiprocessing_wrapper, proxy), |
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"pathos": (pathos_wrapper, proxy), |
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} |
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def _get_distribution(distribution): |
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if callable(distribution): |
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return (distribution, _process_), {} |
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elif isinstance(distribution, dict): |
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dist_key = next(iter(distribution)) |
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dist_paras = distribution[dist_key] |
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return dist_dict[dist_key], dist_paras |
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elif isinstance(distribution, str): |
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return dist_dict[distribution], {} |
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def run_search(opt_pros, distribution, n_processes): |
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"""Run Search function.""" |
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process_infos = list(opt_pros.items()) |
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if n_processes == "auto": |
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n_processes = len(process_infos) |
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if n_processes == 1: |
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results_list = single_process(_process_, process_infos) |
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else: |
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(distribution, process_func), dist_paras = _get_distribution(distribution) |
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results_list = distribution(process_func, process_infos, n_processes) |
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return results_list |
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SimonBlanke /
Hyperactive
