q-dim bugfix in ScalarizedPosteriorMean#3191
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
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Summary: Fixes ScalarizedPosteriorMean to correctly reduce over the q-dimension, ensuring consistent behavior with other analytic acquisition functions. Reviewed By: saitcakmak Differential Revision: D93691048
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Summary: Fixes ScalarizedPosteriorMean to correctly reduce over the q-dimension, ensuring consistent behavior with other analytic acquisition functions. Reviewed By: saitcakmak Differential Revision: D93691048
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Summary: Fixes ScalarizedPosteriorMean to correctly reduce over the q-dimension, ensuring consistent behavior with other analytic acquisition functions. Reviewed By: saitcakmak Differential Revision: D93691048
Summary: Fixes ScalarizedPosteriorMean to correctly reduce over the q-dimension, ensuring consistent behavior with other analytic acquisition functions. Reviewed By: saitcakmak Differential Revision: D93691048
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Summary: Fixes ScalarizedPosteriorMean to correctly reduce over the q-dimension, ensuring consistent behavior with other analytic acquisition functions. Reviewed By: saitcakmak Differential Revision: D93691048
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Summary: [botorch] Release 0.17.1 - Bump pinned gpytorch and linear_operator versions This diff prepares the 0.17.1 release of BoTorch with the following changes: **Bug Fixes** - Fix BAxUS bugs (meta-pytorch#3204) - Fix q-dim bug in `ScalarizedPosteriorMean` (meta-pytorch#3191) - Project `candidate_set` in `qMultiFidelityMaxValueEntropy.__init__` (meta-pytorch#3205) **Other Changes** - Make `d` and `target_fidelities` required in `project_to_target_fidelity` (meta-pytorch#3203) - Add test harness infrastructure for acquisition function testing (meta-pytorch#3190, meta-pytorch#3192) - Fix typos and docstring issues across botorch (meta-pytorch#3211) - Fix docstring issues in analytic acquisition functions (meta-pytorch#3208) **Compatibility** - Require GPyTorch>=1.15.2 and linear_operator>=0.6.1 Differential Revision: D95224716
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…eta-pytorch#3214) Summary: [botorch] Release 0.17.1 - Bump pinned gpytorch and linear_operator versions This diff prepares the 0.17.1 release of BoTorch with the following changes: **Bug Fixes** - Fix BAxUS bugs (meta-pytorch#3204) - Fix q-dim bug in `ScalarizedPosteriorMean` (meta-pytorch#3191) - Project `candidate_set` in `qMultiFidelityMaxValueEntropy.__init__` (meta-pytorch#3205) **Other Changes** - Make `d` and `target_fidelities` required in `project_to_target_fidelity` (meta-pytorch#3203) - Add test harness infrastructure for acquisition function testing (meta-pytorch#3190, meta-pytorch#3192) - Fix typos and docstring issues across botorch (meta-pytorch#3211) - Fix docstring issues in analytic acquisition functions (meta-pytorch#3208) **Compatibility** - Require GPyTorch>=1.15.2 and linear_operator>=0.6.1 Reviewed By: saitcakmak Differential Revision: D95224716
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…eta-pytorch#3214) Summary: Pull Request resolved: meta-pytorch#3214 [botorch] Release 0.17.1 - Bump pinned gpytorch and linear_operator versions This diff prepares the 0.17.1 release of BoTorch with the following changes: **Bug Fixes** - Fix BAxUS bugs (meta-pytorch#3204) - Fix q-dim bug in `ScalarizedPosteriorMean` (meta-pytorch#3191) - Project `candidate_set` in `qMultiFidelityMaxValueEntropy.__init__` (meta-pytorch#3205) **Other Changes** - Make `d` and `target_fidelities` required in `project_to_target_fidelity` (meta-pytorch#3203) - Add test harness infrastructure for acquisition function testing (meta-pytorch#3190, meta-pytorch#3192) - Fix typos and docstring issues across botorch (meta-pytorch#3211) - Fix docstring issues in analytic acquisition functions (meta-pytorch#3208) **Compatibility** - Require GPyTorch>=1.15.2 and linear_operator>=0.6.1 Reviewed By: saitcakmak Differential Revision: D95224716
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…3214) Summary: Pull Request resolved: #3214 [botorch] Release 0.17.1 - Bump pinned gpytorch and linear_operator versions This diff prepares the 0.17.1 release of BoTorch with the following changes: **Bug Fixes** - Fix BAxUS bugs (#3204) - Fix q-dim bug in `ScalarizedPosteriorMean` (#3191) - Project `candidate_set` in `qMultiFidelityMaxValueEntropy.__init__` (#3205) **Other Changes** - Make `d` and `target_fidelities` required in `project_to_target_fidelity` (#3203) - Add test harness infrastructure for acquisition function testing (#3190, #3192) - Fix typos and docstring issues across botorch (#3211) - Fix docstring issues in analytic acquisition functions (#3208) **Compatibility** - Require GPyTorch>=1.15.2 and linear_operator>=0.6.1 Reviewed By: saitcakmak Differential Revision: D95224716 fbshipit-source-id: 311d7abe2b389ee62df4eeaf3951d2c90733eee5
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Summary: Fixes ScalarizedPosteriorMean to correctly reduce over the q-dimension, ensuring consistent behavior with other analytic acquisition functions.
Differential Revision: D93691048