Fix CI #2
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Fix CI #2
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… multi-output training loops.
… our new Molecule data structure.
…nly difference is the batching function, which comes from malt.data.utils.
…h feature extractors.
Adding Random and Thompson Sampling Bayes Opt Policies
…d data structures.
Data with tests. Need to merge change to collections, though.
shouldn't live on github
Only made the pin_mem False to debug something.
Updating the collate function
…away -> the dimensionality of the target tensor matters a lot.
…ending to Dataset(). It somehow sets a new class init signature and every time after that if you call Dataset(), it'll give you the updated list, instead of a fresh [].
…data. Also, fixed the training loop and benchmarked using some new notebooks. Also added multi-objective stepping.
refactor the gpytorch implementation
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Trying to fix CI workflow by removing references to unspecified variables in matrix.