DataModule.normalize

DataModule.normalize(x: ndarray | torch.Tensor, y: ndarray | torch.Tensor) → Tuple[ndarray | torch.Tensor, ndarray | torch.Tensor]

Normalize the input and output data. Takes care of the case where x and y are numpy arrays or torch tensors.

Parameters:

• x (Union[np.ndarray, torch.Tensor]) – Input data to be normalized, either a numpy array or a torch tensor.

• y (Union[np.ndarray, torch.Tensor]) – Output data to be normalized, either a numpy array or a torch tensor.

Returns:

Tuple[Union[np.ndarray, torch.Tensor], Union[np.ndarray, torch.Tensor]] – A tuple containing the normalized input and output data.