(values, replication_times)
| 3 | |
| 4 | |
| 5 | def get_metric_statistics(values, replication_times): |
| 6 | mean = np.mean(values, axis=0) |
| 7 | std = np.std(values, axis=0) |
| 8 | conf_interval = 1.96 * std / np.sqrt(replication_times) |
| 9 | return mean, conf_interval |
| 10 | |
| 11 | |
| 12 | def euclidean_distance_matrix(matrix1, matrix2): |