| { | |
| "model_type": "svm", | |
| "framework": "sklearn", | |
| "window": 30, | |
| "stride": 5, | |
| "input_shape": null, | |
| "feature_dim": 45, | |
| "seed": 42, | |
| "classes": [ | |
| 0, | |
| 1 | |
| ], | |
| "operating_threshold": 0.04701814649239117, | |
| "name": "fall-detector", | |
| "version": "poc", | |
| "dataset": "le2i", | |
| "outputs": [ | |
| "fall_prob" | |
| ], | |
| "source": "trained", | |
| "reacquire": "cd ml && uv run python -m training.train" | |
| } |