I want to make cross validation ofr my dataset so I chose the skorch lib but it require to pass the X and Y explicitly but My train_data is Dataloader that returns image, caption, caption_lengths, video_length and I pass them to the model but how can I do this in skorch
I get this error when I pass only the data_loader
ValueError: Stratified CV requires explicitely passing a suitable y.
any Idea what should I do!
I’ve only just recently started familiarizing myself with Skorch, but it seems that calls to
fit or equivalent require passing
y explicitly. Skorch allows passing PyTorch
Dataset-classes directly but in turn requires the user to pass
y=None in conjunction with the
Dataset. Please see Skorch’s documentation for how they handle parameters passed to
IMHO you should maybe refrain from passing a
DataLoader and instead let Skorch’s
NeuralNet take care of wrapping the
Dataset to a
DataLoader. See their quick tutorial here.
thank for your reply I also got this answer and it works https://stackoverflow.com/questions/56490278/passing-tensordataset-or-dataloader-to-skorch/56667050#56667050