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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
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