myogestic.models.definitions.raulnet_models.train

myogestic.models.definitions.raulnet_models.train(model, dataset, _, gui_logger)

Train a RaulNet model using preprocessed features from the dataset.

Parameters:

• model (L.LightningModule) – The RaulNet model to train.

• dataset (dict) – The dataset containing preprocessed EMG features and kinematics. Expected keys: - “emg”: np.ndarray with shape (n_samples, n_features * channels, time) - “kinematics”: np.ndarray with shape (n_samples, n_outputs) - “buffer_size__samples”: int (used for model configuration)

• gui_logger (CustomLogger) – Logger for outputting training progress to the GUI.

• _ (bool)

Returns:

The trained RaulNet model.

Return type:

L.LightningModule