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optimize sequence of acquisition functions #2931
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This pull request was exported from Phabricator. Differential Revision: D78560867 |
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #2931 +/- ##
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Coverage 100.00% 100.00%
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Files 216 216
Lines 20219 20246 +27
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+ Hits 20219 20246 +27 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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Summary: Enables sequential q-batch optimization using a sequence of acquisition functions rather than the same acquisition function for each point in the batch. Right now just for when using optimize_acqf, thus focused on continuous search spaces. Differential Revision: D78560867
This pull request was exported from Phabricator. Differential Revision: D78560867 |
Summary: Pull Request resolved: pytorch#2931 Enables sequential q-batch optimization using a sequence of acquisition functions rather than the same acquisition function for each point in the batch. Right now just for when using optimize_acqf, thus focused on continuous search spaces. Differential Revision: D78560867
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Very interesting PR, one question: how does it relate to botorch/botorch/optim/optimize.py Line 855 in e7fef3b
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Essentially this folds the functionality of optimize_acqf_list up into the sequential_q optimizer. I can see optimize_acqf_list being deprecated at some point in the future after this goes in. |
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This pull request was exported from Phabricator. Differential Revision: D78560867 |
Summary: Pull Request resolved: pytorch#2931 Enables sequential q-batch optimization using a sequence of acquisition functions rather than the same acquisition function for each point in the batch. Right now just for when using optimize_acqf, thus focused on continuous search spaces. Differential Revision: D78560867
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Summary: Enables sequential q-batch optimization using a sequence of acquisition functions rather than the same acquisition function for each point in the batch. Right now just for when using optimize_acqf, thus focused on continuous search spaces. Differential Revision: D78560867
This pull request was exported from Phabricator. Differential Revision: D78560867 |
Summary: Enables sequential q-batch optimization using a sequence of acquisition functions rather than the same acquisition function for each point in the batch. Right now just for when using optimize_acqf, thus focused on continuous search spaces. Reviewed By: sdaulton Differential Revision: D78560867
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Summary: Enables sequential q-batch optimization using a sequence of acquisition functions rather than the same acquisition function for each point in the batch. Right now just for when using optimize_acqf, thus focused on continuous search spaces. Reviewed By: sdaulton Differential Revision: D78560867
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This pull request was exported from Phabricator. Differential Revision: D78560867 |
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This pull request was exported from Phabricator. Differential Revision: D78560867 |
Summary: Pull Request resolved: pytorch#2931 Enables sequential q-batch optimization using a sequence of acquisition functions rather than the same acquisition function for each point in the batch. Right now just for when using optimize_acqf, thus focused on continuous search spaces. Reviewed By: sdaulton Differential Revision: D78560867
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Summary: Enables sequential q-batch optimization using a sequence of acquisition functions rather than the same acquisition function for each point in the batch. Right now just for when using optimize_acqf, thus focused on continuous search spaces. Reviewed By: sdaulton Differential Revision: D78560867
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This pull request was exported from Phabricator. Differential Revision: D78560867 |
This pull request has been merged in 20f1116. |
Summary: Enables sequential q-batch optimization using a sequence of acquisition functions rather than the same acquisition function for each point in the batch. Right now just for when using optimize_acqf, thus focused on continuous search spaces.
Differential Revision: D78560867