SimonBlanke /
Gradient-Free-Optimizers
| Total Complexity | 4 |
| Total Lines | 40 |
| Duplicated Lines | 0 % |
| Changes | 0 | ||
| 1 | # Author: Simon Blanke |
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| 2 | # Email: [email protected] |
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| 3 | # License: MIT License |
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| 4 | |||
| 5 | |||
| 6 | from .core_optimizer import CoreOptimizer |
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| 7 | |||
| 8 | |||
| 9 | class BaseOptimizer(CoreOptimizer): |
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| 10 | def __init__( |
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| 11 | self, |
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| 12 | search_space, |
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| 13 | initialize={"grid": 4, "random": 2, "vertices": 4}, |
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| 14 | constraints=[], |
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| 15 | random_state=None, |
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| 16 | rand_rest_p=0, |
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| 17 | nth_process=None, |
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| 18 | ): |
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| 19 | super().__init__( |
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| 20 | search_space=search_space, |
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| 21 | initialize=initialize, |
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| 22 | constraints=constraints, |
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| 23 | random_state=random_state, |
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| 24 | rand_rest_p=rand_rest_p, |
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| 25 | nth_process=nth_process, |
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| 26 | ) |
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| 27 | |||
| 28 | self.optimizers = [self] |
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| 29 | |||
| 30 | def finish_initialization(self): |
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| 31 | self.search_state = "iter" |
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| 32 | |||
| 33 | def evaluate(self, score_new): |
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| 34 | if self.pos_best is None: |
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| 35 | self.pos_best = self.pos_new |
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| 36 | self.pos_current = self.pos_new |
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| 37 | |||
| 38 | self.score_best = score_new |
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| 39 | self.score_current = score_new |
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| 40 |
