Add PosteriorTransform to get_optimal_samples and optimize_posterior_samples #2576
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…samples (pytorch#2576) Summary: Added `posterior_transform` arg to get_optimal_samples to enable posterior sampling-based (xES, TestSet IG) acquisition functions with minimization problems. Intended use in one-shot settings. Differential Revision: D64266499
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…samples (pytorch#2576) Summary: Added `posterior_transform` arg to get_optimal_samples to enable posterior sampling-based (xES, TestSet IG) acquisition functions with minimization problems. Intended use in one-shot settings. Differential Revision: D64266499
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #2576 +/- ##
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Coverage 99.98% 99.98%
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Files 196 196
Lines 17340 17350 +10
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+ Hits 17338 17348 +10
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…samples (pytorch#2576) Summary: Added `posterior_transform` arg to get_optimal_samples to enable posterior sampling-based (xES, TestSet IG) acquisition functions with minimization problems. Intended use in one-shot settings. Differential Revision: D64266499
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…samples (pytorch#2576) Summary: Added `posterior_transform` arg to get_optimal_samples to enable posterior sampling-based (xES, TestSet IG) acquisition functions with minimization problems. Intended use in one-shot settings. Differential Revision: D64266499
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…samples (pytorch#2576) Summary: Added `posterior_transform` arg to get_optimal_samples to enable posterior sampling-based (xES, TestSet IG) acquisition functions with minimization problems. Intended use in one-shot settings. Differential Revision: D64266499
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…samples (pytorch#2576) Summary: Added `posterior_transform` arg to get_optimal_samples to enable posterior sampling-based (xES, TestSet IG) acquisition functions with minimization problems. Intended use in one-shot settings. Differential Revision: D64266499
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…samples (pytorch#2576) Summary: Added `posterior_transform` arg to get_optimal_samples to enable posterior sampling-based (xES, TestSet IG) acquisition functions with minimization problems. Intended use in one-shot settings. Differential Revision: D64266499
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…samples (pytorch#2576) Summary: Added `posterior_transform` arg to get_optimal_samples to enable posterior sampling-based (xES, TestSet IG) acquisition functions with minimization problems. Intended use in one-shot settings. Differential Revision: D64266499
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…samples (pytorch#2576) Summary: Added `posterior_transform` arg to get_optimal_samples to enable posterior sampling-based (xES, TestSet IG) acquisition functions with minimization problems. Intended use in one-shot settings. Differential Revision: D64266499
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…samples (pytorch#2576) Summary: Added `posterior_transform` arg to get_optimal_samples to enable posterior sampling-based (xES, TestSet IG) acquisition functions with minimization problems. Intended use in one-shot settings. Differential Revision: D64266499
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…samples (pytorch#2576) Summary: Added `posterior_transform` arg to get_optimal_samples to enable posterior sampling-based (xES, TestSet IG) acquisition functions with minimization problems. Intended use in one-shot settings. Differential Revision: D64266499
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…samples (pytorch#2576) Summary: Added `posterior_transform` arg to get_optimal_samples to enable posterior sampling-based (xES, TestSet IG) acquisition functions with minimization problems. Intended use in one-shot settings. Differential Revision: D64266499
…samples (pytorch#2576) Summary: Added `posterior_transform` arg to get_optimal_samples to enable posterior sampling-based (xES, TestSet IG) acquisition functions with minimization problems. Intended use in one-shot settings. Differential Revision: D64266499
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…samples (pytorch#2576) Summary: Added `posterior_transform` arg to get_optimal_samples to enable posterior sampling-based (xES, TestSet IG) acquisition functions with minimization problems. Intended use in one-shot settings. Differential Revision: D64266499
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…samples (pytorch#2576) Summary: Added `posterior_transform` arg to get_optimal_samples to enable posterior sampling-based (xES, TestSet IG) acquisition functions with minimization problems. Intended use in one-shot settings. Reviewed By: saitcakmak Differential Revision: D64266499
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…samples (pytorch#2576) Summary: Added `posterior_transform` arg to get_optimal_samples to enable posterior sampling-based (xES, TestSet IG) acquisition functions with minimization problems. Intended use in one-shot settings. Reviewed By: saitcakmak Differential Revision: D64266499
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…samples (pytorch#2576) Summary: Added `posterior_transform` arg to get_optimal_samples to enable posterior sampling-based (xES, TestSet IG) acquisition functions with minimization problems. Intended use in one-shot settings. Reviewed By: saitcakmak Differential Revision: D64266499
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Summary: Added
posterior_transformarg to get_optimal_samples to enable posterior sampling-based (xES, TestSet IG) acquisition functions with minimization problems. Intended use in one-shot settings with TSIG with Target-aware models (e.g. D63135028), which otherwise cannot be used in minimization problems, nor with multi-objective.Differential Revision: D64266499