# plot_bcic_iv_2a_moabb_cropped

Pretrained artifacts for the Braindecode tutorial `examples/model_building/plot_bcic_iv_2a_moabb_cropped.py`.

These files are meant to be loaded by the tutorial so the docs can show stable predictions without retraining the model from scratch.

## Stored files

- `params.safetensors`: classifier parameters
- `history.json`: Skorch training history used by the tutorial plots
- `metadata.json`: summary metrics for the stored checkpoint