LUDBDataset#

class torch_ecg.databases.datasets.LUDBDataset(config: CFG, training: bool = True, lazy: bool = False, **reader_kwargs: Any)[source]#

Bases: ReprMixin, Dataset

Data generator for feeding data into pytorch models using the LUDB database.

Parameters:

config (dict) – Configurations for the dataset, ref. LUDBTrainCfg.
training (bool, default True) – If True, the training set will be loaded, otherwise the test (val) set will be loaded.
lazy (bool, default True) – If True, the data will not be loaded immediately, instead, it will be loaded on demand.
**reader_kwargs (dict, optional) – Keyword arguments for the database reader class.

extra_repr_keys() → List[str][source]#: Extra keys for __repr__() and __str__().

property labels: ndarray#: Cached labels, only available when lazy=False or preloading is performed manually.

property signals: ndarray#: Cached signals, only available when lazy=False or preloading is performed manually.