braindecode.datautil package#
Utilities for data manipulation.
Submodules#
braindecode.datautil.mne module#
braindecode.datautil.preprocess module#
braindecode.datautil.serialization module#
Convenience functions for storing and loading of windows datasets.
- braindecode.datautil.serialization.load_concat_dataset(path, preload, ids_to_load=None, target_name=None, n_jobs=1)[source]#
Load a stored BaseConcatDataset of BaseDatasets or WindowsDatasets from files.
- Parameters:
path (str | pathlib.Path) – Path to the directory of the .fif / -epo.fif and .json files.
preload (bool) – Whether to preload the data.
ids_to_load (list of int | None) – Ids of specific files to load.
target_name (str | list | None) – Load specific description column as target. If not given, take saved target name.
n_jobs (int) – Number of jobs to be used to read files in parallel.
- Returns:
concat_dataset
- Return type:
BaseConcatDataset of BaseDatasets or WindowsDatasets