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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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from .search import Search |
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from .search_process import SearchProcess |
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from .process_arguments import ProcessArguments |
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from .verbosity import Verbosity |
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class Optimizer: |
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def __init__( |
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self, random_state=None, verbosity=3, warnings=False, ext_warnings=False, |
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): |
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self.verb = Verbosity(verbosity, warnings) |
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self.random_state = random_state |
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self.search_processes = [] |
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def add_search(self, *args, **kwargs): |
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pro_arg = ProcessArguments(args, kwargs, random_state=self.random_state) |
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for nth_job in range(pro_arg.n_jobs): |
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new_search_process = SearchProcess(nth_job, pro_arg, self.verb) |
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self.search_processes.append(new_search_process) |
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self.search = Search(self.search_processes) |
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def run(self, max_time=None): |
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if max_time is not None: |
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max_time = max_time * 60 |
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self.search.run(max_time) |
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""" |
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dist = Distribution() |
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dist.dist(Search, self._main_args_) |
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self.results = dist.results |
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self.pos_list = dist.pos |
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# self.para_list = None |
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self.score_list = dist.scores |
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self.eval_times = dist.eval_times |
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self.iter_times = dist.iter_times |
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self.best_scores = dist.best_scores |
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""" |
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SimonBlanke /
Hyperactive
