(self)
| 74 | self.score = score |
| 75 | |
| 76 | def reset(self): |
| 77 | if len(self.bnd) == 2: |
| 78 | self.data = np.array([[], []]).T |
| 79 | else: |
| 80 | self.data = np.array([[], [], []]).T |
| 81 | self.score = np.ones(np.shape(self.data)[0]) |
| 82 | self.score = self.score / np.linalg.norm(self.score, ord=1) |
| 83 | |
| 84 | |
| 85 | class KalmanFiltering(SearchSpace): |