braindecode.datasets.MOABBDataset#
- class braindecode.datasets.MOABBDataset(dataset_name, subject_ids=None, dataset_kwargs=None, dataset_load_kwargs=None)[source]#
A class for moabb datasets.
- Parameters:
dataset_name (
str) – name of dataset included in moabb to be fetchedsubject_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[str,Any] |None) – optional dictionary containing keyword arguments to pass to the moabb dataset when instantiating it.dataset_load_kwargs (
dict[str,Any] |None) – 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#
Cleaning EEG Data with EEGPrep for Trialwise Decoding
Comprehensive Preprocessing with MNE-based Classes
Uploading and downloading datasets to Hugging Face Hub
Searching the best data augmentation on BCIC IV 2a Dataset