braindecode.datasets.MOABBDataset#
- class braindecode.datasets.MOABBDataset(dataset_name: str, subject_ids: list[int] | int | None = None, dataset_kwargs: dict[str, Any] | None = None, dataset_load_kwargs: dict[str, Any] | None = None)[source]#
A class for moabb datasets.
- Parameters:
dataset_name (str) – name of dataset included in moabb to be fetched
subject_ids (list(int) | int | None) – (list of) int of subject(s) to be fetched. If None, data of all subjects is fetched.
dataset_kwargs (dict, optional) – optional dictionary containing keyword arguments to pass to the moabb dataset when instantiating it.
dataset_load_kwargs (dict, optional) – optional dictionary containing keyword arguments to pass to the moabb dataset’s load_data method. Allows using the moabb cache_config=None and process_pipeline=None.
Examples using braindecode.datasets.MOABBDataset
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Cropped Decoding on BCIC IV 2a Dataset
Basic Brain Decoding on EEG Data
How to train, test and tune your model?
Hyperparameter tuning with scikit-learn
Training a Braindecode model in PyTorch
Data Augmentation on BCIC IV 2a Dataset
Searching the best data augmentation on BCIC IV 2a Dataset