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pytorch / botorch

Bayesian optimization in PyTorch
https://botorch.org/
MIT License
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Update the remaining models to use new default covar & likelihood modules #2507

Closed saitcakmak closed 3 weeks ago

saitcakmak commented 3 weeks ago

Summary: Updates the default covar & likelihood modules of BoTorch models. See https://github.com/pytorch/botorch/discussions/2451 for details on the new defaults.

For models that utilize a composite kernel, such as multi-fidelity/task/context, this change only affects the base kernel.

Models that do not utilize the new modules:

Differential Revision: D62196414

facebook-github-bot commented 3 weeks ago

This pull request was exported from Phabricator. Differential Revision: D62196414

facebook-github-bot commented 3 weeks ago

This pull request was exported from Phabricator. Differential Revision: D62196414

codecov[bot] commented 3 weeks ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 99.98%. Comparing base (3db1a0e) to head (bc5dd26). Report is 1 commits behind head on main.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #2507 +/- ## ========================================== - Coverage 99.98% 99.98% -0.01% ========================================== Files 193 193 Lines 16949 16941 -8 ========================================== - Hits 16947 16939 -8 Misses 2 2 ```

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facebook-github-bot commented 3 weeks ago

This pull request was exported from Phabricator. Differential Revision: D62196414

facebook-github-bot commented 3 weeks ago

This pull request was exported from Phabricator. Differential Revision: D62196414

facebook-github-bot commented 3 weeks ago

This pull request has been merged in pytorch/botorch@141718987b3983b8252daf426b77e8f1a680cd5a.