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Added posterior_transform to posterior method in ApproximateGPyTorchModel #2531

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SaiAakash
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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

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codecov bot commented Sep 12, 2024

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 99.98%. Comparing base (6ebfa82) to head (a8f7f5a).
Report is 1 commits behind head on main.

Additional details and impacted files
@@           Coverage Diff           @@
##             main    #2531   +/-   ##
=======================================
  Coverage   99.98%   99.98%           
=======================================
  Files         193      193           
  Lines       17006    17010    +4     
=======================================
+ Hits        17003    17007    +4     
  Misses          3        3           

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@SaiAakash
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@Balandat I have addressed the requested changes.

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@saitcakmak saitcakmak left a comment

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Thanks for the fix!

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@saitcakmak has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

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@Balandat has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

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@Balandat has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

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@Balandat has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

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@Balandat merged this pull request in e9ce11f.

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[Bug]Analytic Acquisition Functions not working with SingleTaskVariationalGP for multi-output data
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