SimonBlanke /
Gradient-Free-Optimizers
| Total Complexity | 3 |
| Total Lines | 24 |
| 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 ..base_optimizer import BaseOptimizer |
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| 7 | from ...search import Search |
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| 8 | |||
| 9 | |||
| 10 | class RandomSearchOptimizer(BaseOptimizer, Search): |
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| 11 | name = "Random Search" |
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| 12 | _name_ = "random_search" |
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| 13 | |||
| 14 | def __init__(self, *args, **kwargs): |
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| 15 | super().__init__(*args, **kwargs) |
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| 16 | |||
| 17 | @BaseOptimizer.track_new_pos |
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| 18 | def iterate(self): |
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| 19 | return self.move_random() |
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| 20 | @BaseOptimizer.track_new_score |
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| 21 | |||
| 22 | def evaluate(self, score_new): |
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| 23 | return super().evaluate(score_new) |
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| 24 |
