braindecode.datasets.MOABBDataset¶
-
class
braindecode.datasets.MOABBDataset(dataset_name, subject_ids)¶ A class for moabb datasets.
- Parameters
- dataset_name: name of dataset included in moabb to be fetched
- subject_ids: list(int) | int
(list of) int of subject(s) to be fetched
- Attributes
- cummulative_sizes
Methods
split([some_property, split_ids])Split the dataset based on some property listed in its description DataFrame or based on indices.
cumsum
-
__hash__(/)¶ Return hash(self).
-
split(some_property=None, split_ids=None)¶ Split the dataset based on some property listed in its description DataFrame or based on indices.
- Parameters
- some_property: str
some property which is listed in info DataFrame
- split_ids: list(int)
list of indices to be combined in a subset
- Returns
- splits: dict{split_name: BaseConcatDataset}
mapping of split name based on property or index based on split_ids to subset of the data
