Hi,
I’m just wondering if SubsetRandomSampler include stratify whereby % of classes are consistent in train and valid.
Last but not least, is this the usual way to split 80/20 between train and test(codewise) or is there a train-test-split( apologies as I’m looking from the sklearn angle)? Thanks

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