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update discrete_multi_fidelity_bo tutorial #1134

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Summary: fix bugs related to OneShotAcquisition + optimize_acqf_mixed

Differential Revision: D35162508

Daniel Jiang added 2 commits March 25, 2022 17:43
Summary: optimize_acqf_mixed runs into an error when computing joint acq value for one shot acqfs when q > 1. We can use qKG.evaluate instead.

Differential Revision: D35155309

fbshipit-source-id: 9fd9b44060c7a9033e5cb6021c3edd3ff266ab82
Summary: fix bugs related to OneShotAcquisition + optimize_acqf_mixed

Differential Revision: D35162508

fbshipit-source-id: 94d73a78a39acf8dd261b960e37d7defbb17f2b9
@facebook-github-bot facebook-github-bot added CLA Signed Do not delete this pull request or issue due to inactivity. fb-exported labels Mar 26, 2022
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This pull request was exported from Phabricator. Differential Revision: D35162508

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codecov bot commented Mar 26, 2022

Codecov Report

Merging #1134 (4c91673) into main (e8a3365) will not change coverage.
The diff coverage is 100.00%.

❗ Current head 4c91673 differs from pull request most recent head fa0f738. Consider uploading reports for the commit fa0f738 to get more accurate results

@@           Coverage Diff           @@
##             main    #1134   +/-   ##
=======================================
  Coverage   99.98%   99.98%           
=======================================
  Files         115      115           
  Lines        9859     9864    +5     
=======================================
+ Hits         9858     9863    +5     
  Misses          1        1           
Impacted Files Coverage Δ
botorch/optim/optimize.py 100.00% <100.00%> (ø)

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facebook-github-bot pushed a commit that referenced this pull request Sep 16, 2022
Summary:
X-link: facebook/Ax#1134

Pull Request resolved: #1371

This commit updates `fit_gpytorch_model` and related methods, with the aim of fixing existing issues and improving extensibility. Key changes are as follow:

- Replace `fit_gpytorch_model` with `fit_gpytorch_mll`, a `Dispatcher` backed reimplementation of the original model fitting pipeline. Note that `fit_gpytorch_mll` does **not** pass `kwargs` to `optimizer` and instead introduces an optional `optimizer_kwargs` argument.

- Convert `fit_gpytorch_model` into a convenience method for calling `fit_gpytorch_mll` with (limited) support for legacy API.

- Add validation for multioutput GP fitting routines based on decomposing a single model into a list of independent models.

- Updated unit tests for relevant code paths.

Reviewed By: Balandat

Differential Revision: D38692173

fbshipit-source-id: 828cff264715cfa84ca4c4361db434574cf8fbf5
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