myoverse.datasets.paradigms.SupervisedDataset.__init__

SupervisedDataset.__init__(zarr_path, split='training', inputs=('emg',), targets=('kinematics',), transform=None, target_transform=None, window_size=200, window_stride=None, n_windows=None, seed=None, device=None, dtype=torch.float32, cache_in_ram=True)

Parameters:

• zarr_path (Path | str)

• split (str)

• inputs (Sequence[str])

• targets (Sequence[str])

• transform (Callable | None)

• target_transform (Callable | None)

• window_size (int)

• window_stride (int | None)

• n_windows (int | None)

• seed (int | None)

• device (device | str | None)

• dtype (dtype)

• cache_in_ram (bool)