I have an iterable dataset object with all of my data files. How can I split it into train and validation set. I have seen a few solutions for custom datasets but iterable does not support
torch.utils.SubsetRandomSample() don’t work.
def __init__(self): bla bla def __iter__(self): bla . yield batch