Closed JHlozek closed 1 year ago
It seems to do the same when I roll back to bdc0a44, at least for the binary dataset case.
It seems that it calculates and stores the descriptors correctly at f9d5a40.
This issue was due to an issue when calculating chunked inputs with the Ersilia Descriptors. Solved by https://github.com/ersilia-os/ersilia/commit/f005ce1eca2463b890ce1d96c2e5eb09a9fe4b0d
Describe the bug After the most recent commit (ac52f5e), when training a new model, some of the folders for the individual descriptors in/descriptors/<...> are empty. The model still completes training but at predict time it is looking for files that weren't produced and crashes.
One continuous dataset had molbert and mordred calculated and the rest were empty. Then a binary dataset had none of the descriptors calculated.
To Reproduce Steps to reproduce the behavior:
Expected behavior Produce descriptors at training time so that the predict pipeline doesn't crash.
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