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 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