Comments (3)
Hi @RMichae1 just wanted to follow up and let you know that the open-source alpha release of LaMBO-2 is live :)
https://github.com/prescient-design/cortex
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Given that the commit is quite ahead of the original submission and paper I checked out commit SHA 22afec26da0b9ea1810e65f8a60ea7988c021cef
, here the algorithm stages optimizing candidates and querying objective function appear to run correctly, without the previously encountered error in distribution Categorical
nan
matrix.
Perhaps somewhere between this particular commit and the latest main
commit the way the (discrete) MT-GP posterior gets sampled broke?
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thanks for the detailed issue. When I was writing the code for this paper the MTGP features of GPyTorch and BoTorch were under active development, which is why the requirements file is pinned to that specific commit. I briefly tried removing the requirement but last I checked it seemed like a PR to one or both of those libraries would be needed. In LaMBO-2 I actually abandoned GPs in favor of partial deep ensembles, and I'm hoping to open-source that code sometime in the nearish future.
https://arxiv.org/abs/2305.20009
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Related Issues (11)
- 'NoneType' object HOT 2
- A typo on the pre-processing - pH values for RFPs HOT 1
- Issue with Acquisition Function Calculation in LAMBO Implementation HOT 2
- Caluclation error in gpytorch HOT 8
- Device error HOT 7
- mask_ratio during mutation HOT 2
- sampler INF NAN HOT 2
- Problem with installing requirements HOT 3
- Could you release the notebook to reproduce figure 10 of the paper? HOT 17
- Error when using `chem_lsbo` with `mlm_cnn` HOT 2
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