Hi all,
Few questions. First, we want to compute some metrics during training and after each epoch, take the 10% and only apply augmentation to those examples from the dataset. If we have a custom dataset, is it best to subclass the DataLoader class on top of a Dataset class? What’s the best way to be able to change which examples we will be augmenting epoch to epoch?