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Added posterior_transform to posterior method in ApproximateGPyTorchModel #2531
Added posterior_transform to posterior method in ApproximateGPyTorchModel #2531
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #2531 +/- ##
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Coverage 99.98% 99.98%
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Files 193 193
Lines 17006 17010 +4
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+ Hits 17003 17007 +4
Misses 3 3 ☔ View full report in Codecov by Sentry. |
@Balandat I have addressed the requested changes. |
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Thanks for the fix!
@saitcakmak has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
@Balandat has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
@Balandat has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
@Balandat has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
Motivation
This PR fixes #2530. Adds a new posterior_transform parameter to the posterior method of ApproximateGPyTorchModel.
Have you read the Contributing Guidelines on pull requests?
Yes
Test Plan
I was able to generate candidate points with ExpectedImprovement acquisition function with a SingleTaskVariationalGP that was trained on 2 output columns.
Related PRs
NA