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@schnamo Could you please check if this solves your problem with the chebai dev branch? |
schnamo
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Feb 14, 2025
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Thank you very much, Simon. This does solve the problem I had with the chebai dev branch.
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In #69, I added links between
chebi_versionarguments. This way, you only need to type in the chebi version once and avoid the potential for e.g. the semantic loss checking for inconsistencies in version 200, while the training data is from version 231.However, this leads to issues when someone is using a different loss function than
BCEWeighted. Then, the link leads to an argument of the loss function that does not exist, causing an error injsonargparse(the error is shown as anIndexError, but that is the error it raises while trying to generate an error message, not the actual error).For now, I removed the argument linking.