| { | |
| "name": "alpha_stable", | |
| "kind": "synthetic", | |
| "params": { | |
| "n_samples": 36000, | |
| "alpha": 1.7, | |
| "dim": 150 | |
| }, | |
| "split": { | |
| "val_size": 0.027777777777777776, | |
| "test_size": 0.2777777777777778, | |
| "random_state": 0, | |
| "standardize": false | |
| }, | |
| "split_mode": "random", | |
| "counts": { | |
| "train": 25000, | |
| "validation": 1000, | |
| "test": 10000 | |
| }, | |
| "n_samples": 36000, | |
| "sample_shape": [ | |
| 150 | |
| ], | |
| "seed": 0, | |
| "normalization": "None", | |
| "provenance": { | |
| "origin": "Synthetic isotropic alpha-stable samples", | |
| "generator": "gendynamics.datasets.fetch_synthetic_data('alpha_stable')", | |
| "preparation": "Sample the configured distribution, then make a seeded random train/validation/test split." | |
| } | |
| } | |