(self, x)
| 319 | self.gains = np.zeros(n) |
| 320 | |
| 321 | def predict(self, x): |
| 322 | rng = np.random.default_rng() |
| 323 | res = rng.random(x.shape[0], np.float64) |
| 324 | self.gains += res |
| 325 | return res |
| 326 | |
| 327 | mock_gp = MockGP1(len(base_acquisitions)) |
| 328 | for _ in range(10): |