SimonBlanke /
Gradient-Free-Optimizers
| Total Complexity | 4 |
| Total Lines | 36 |
| 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 | class ResultsManager: |
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| 7 | def __init__(self, objective_function, conv): |
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| 8 | super().__init__() |
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| 9 | self.objective_function = objective_function |
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| 10 | self.conv = conv |
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| 11 | |||
| 12 | self.results_list = [] |
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| 13 | |||
| 14 | def _obj_func_results(self, para): |
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| 15 | results = self.objective_function(para) |
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| 16 | |||
| 17 | if isinstance(results, tuple): |
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| 18 | score = results[0] |
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| 19 | results_dict = results[1] |
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| 20 | else: |
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| 21 | score = results |
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| 22 | results_dict = {} |
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| 23 | |||
| 24 | results_dict["score"] = score |
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| 25 | |||
| 26 | return results_dict |
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| 27 | |||
| 28 | def score(self, pos): |
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| 29 | value = self.conv.position2value(pos) |
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| 30 | para = self.conv.value2para(value) |
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| 31 | results_dict = self._obj_func_results(para) |
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| 32 | |||
| 33 | self.results_list.append({**results_dict, **para}) |
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| 34 | |||
| 35 | return results_dict["score"] |
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| 36 | |||
| 37 |
