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module: dataloaderRelated to torch.utils.data.DataLoader and SamplerRelated to torch.utils.data.DataLoader and SamplertriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate module
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It's probably less of an issue on "biggish" datasets, but a param for specifying stratification in random_split (which was merged here: #4435) would be nice. If the targets are class labels this could be done based on the integer labels. For regression problems, there are some interesting ideas posted here: http://scottclowe.com/2016-03-19-stratified-regression-partitions/
If this is of interest, we could discuss how to implement that efficiently, I am happy to help.
roger-, Maghoumi, kanishkg, rmchurch, ayhokuyan and 3 morembrea-c
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module: dataloaderRelated to torch.utils.data.DataLoader and SamplerRelated to torch.utils.data.DataLoader and SamplertriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate module