braindecode.samplers.SequenceSampler#
- class braindecode.samplers.SequenceSampler(metadata, n_windows, n_windows_stride, randomize=False, random_state=None)[source]#
Sample sequences of consecutive windows.
- Parameters:
metadata (pd.DataFrame) – See RecordingSampler.
n_windows (int) – Number of consecutive windows in a sequence.
n_windows_stride (int) – Number of windows between two consecutive sequences.
random (bool) – If True, sample sequences randomly. If False, sample sequences in order.
random_state (np.random.RandomState | int | None) – Random state.
- info#
See RecordingSampler.
- Type:
pd.DataFrame
- file_ids#
Array of shape (n_sequences,) that indicates from which file each sequence comes from. Useful e.g. to do self-ensembling.
- Type:
np.ndarray of ints
Examples using braindecode.samplers.SequenceSampler#
Sleep staging on the Sleep Physionet dataset using Chambon2018 network
Sleep staging on the Sleep Physionet dataset using Chambon2018 network
Sleep staging on the Sleep Physionet dataset using Eldele2021
Sleep staging on the Sleep Physionet dataset using Eldele2021
Sleep staging on the Sleep Physionet dataset using U-Sleep network
Sleep staging on the Sleep Physionet dataset using U-Sleep network