{
  "model_type": "transformer",
  "framework": "pytorch",
  "window": 30,
  "stride": 5,
  "input_shape": [
    30,
    51
  ],
  "feature_dim": null,
  "seed": 42,
  "classes": [
    0,
    1
  ],
  "operating_threshold": 0.0023448013234883547,
  "name": "fall-detector",
  "version": "poc",
  "dataset": "le2i",
  "outputs": [
    "fall_prob"
  ],
  "source": "trained",
  "reacquire": "cd ml && uv run python -m training.train"
}