SimonBlanke /
Hyperactive
| Total Complexity | 6 |
| Total Lines | 48 |
| Duplicated Lines | 0 % |
| Changes | 0 | ||
| 1 | # Author: Simon Blanke |
||
| 2 | # Email: [email protected] |
||
| 3 | # License: MIT License |
||
| 4 | |||
| 5 | |||
| 6 | import numpy as np |
||
| 7 | |||
| 8 | |||
| 9 | from ...base_optimizer import BaseOptimizer |
||
| 10 | from ...base_positioner import BasePositioner |
||
| 11 | |||
| 12 | |||
| 13 | class SBOM(BaseOptimizer): |
||
| 14 | def __init__(self, _opt_args_): |
||
| 15 | super().__init__(_opt_args_) |
||
| 16 | self.n_positioners = 1 |
||
| 17 | |||
| 18 | def _all_possible_pos(self, cand): |
||
| 19 | pos_space = [] |
||
| 20 | for dim_ in cand._space_.dim: |
||
| 21 | pos_space.append(np.arange(dim_ + 1)) |
||
| 22 | |||
| 23 | self.n_dim = len(pos_space) |
||
| 24 | self.all_pos_comb = np.array(np.meshgrid(*pos_space)).T.reshape(-1, self.n_dim) |
||
| 25 | |||
| 26 | def _init_iteration(self, _cand_): |
||
| 27 | p = SbomPositioner() |
||
| 28 | p.move_random(_cand_) |
||
| 29 | |||
| 30 | self._optimizer_eval(_cand_, p) |
||
| 31 | self._update_pos(_cand_, p) |
||
| 32 | |||
| 33 | self._all_possible_pos(_cand_) |
||
| 34 | |||
| 35 | if self._opt_args_.warm_start_smbo: |
||
| 36 | self.X_sample = _cand_.mem._get_para() |
||
| 37 | self.Y_sample = _cand_.mem._get_score() |
||
| 38 | else: |
||
| 39 | self.X_sample = _cand_.pos_best.reshape(1, -1) |
||
| 40 | self.Y_sample = np.array(_cand_.score_best).reshape(1, -1) |
||
| 41 | |||
| 42 | return p |
||
| 43 | |||
| 44 | |||
| 45 | class SbomPositioner(BasePositioner): |
||
| 46 | def __init__(self, *args, **kwargs): |
||
| 47 | super().__init__(*args, **kwargs) |
||
| 48 |
