gt4sd-core
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Regression Transformer - facilitate scaffold decoration
Currently, the RT supports only plain inference with user provided masked inputs like:
<QED>0.123|[C][MASK][C][O]
which is prohibitive, especially since we use SELFIES. Til now, scaffold decoration was impossible with selfies since smiles-selfies conversion mappings could not be retrieveid. This is fixed in SELFIES >=2.1.0, for details see https://github.com/aspuru-guzik-group/selfies/pull/75.
Bumping selfies to >=2.1.0 requires an update of PaccMann models, so this issue is sequential to #38.
This is stalled until selfies 2.1.0 will be officially released.
Removing the stall since Selfies 2.1.0 has been released: https://github.com/aspuru-guzik-group/selfies/releases/tag/v2.1.0
Solved indirectly via sampling_wrapper
feature. See PRs #77, #157, #163