Improve fixed parameter selection for slice/contour plots #4841
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) Summary: The previous implementation always fixed other parameters to the center of the search space when generating slice and contour plots (although the documentation claims it would use status_quo values). This could produce suboptimal visualizations that don't reflect the most interesting region of the parameter space. This change implements a hierarchical approach with priorities: (1) status_quo values if available and within the search space (2) best trial values for single-objective optimization (3) search space center as the final fallback The plots now also display which source was used and the actual fixed parameter values in the subtitle for transparency. Differential Revision: D91920684
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Codecov Report❌ Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #4841 +/- ##
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- Coverage 96.74% 96.74% -0.01%
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Files 589 590 +1
Lines 61623 61692 +69
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+ Hits 59620 59685 +65
- Misses 2003 2007 +4 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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jandylin
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) Summary: The previous implementation always fixed other parameters to the center of the search space when generating slice and contour plots (although the documentation claims it would use status_quo values). This could produce suboptimal visualizations that don't reflect the most interesting region of the parameter space. This change implements a hierarchical approach with priorities: (1) status_quo values if available and within the search space (2) best trial values for single-objective optimization (3) search space center as the final fallback The plots now also display which source was used and the actual fixed parameter values in the subtitle for transparency. Reviewed By: sdaulton Differential Revision: D91920684
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) Summary: The previous implementation always fixed other parameters to the center of the search space when generating slice and contour plots (although the documentation claims it would use status_quo values). This could produce suboptimal visualizations that don't reflect the most interesting region of the parameter space. This change implements a hierarchical approach with priorities: (1) status_quo values if available and within the search space (2) best trial values for single-objective optimization (3) search space center as the final fallback The plots now also display which source was used and the actual fixed parameter values in the subtitle for transparency. Reviewed By: sdaulton Differential Revision: D91920684
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) Summary: The previous implementation always fixed other parameters to the center of the search space when generating slice and contour plots (although the documentation claims it would use status_quo values). This could produce suboptimal visualizations that don't reflect the most interesting region of the parameter space. This change implements a hierarchical approach with priorities: (1) status_quo values if available and within the search space (2) best trial values for single-objective optimization (3) search space center as the final fallback The plots now also display which source was used and the actual fixed parameter values in the subtitle for transparency. Reviewed By: sdaulton Differential Revision: D91920684
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) Summary: The previous implementation always fixed other parameters to the center of the search space when generating slice and contour plots (although the documentation claims it would use status_quo values). This could produce suboptimal visualizations that don't reflect the most interesting region of the parameter space. This change implements a hierarchical approach with priorities: (1) status_quo values if available and within the search space (2) best trial values for single-objective optimization (3) search space center as the final fallback The plots now also display which source was used and the actual fixed parameter values in the subtitle for transparency. Reviewed By: sdaulton Differential Revision: D91920684
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Summary:
The previous implementation always fixed other parameters to the center of the search space when generating slice and contour plots (although the documentation claims it would use status_quo values). This could produce suboptimal visualizations that don't reflect the most interesting region of the parameter space.
This change implements a hierarchical approach with priorities:
(1) status_quo values if available and within the search space
(2) best trial values for single-objective optimization
(3) search space center as the final fallback
The plots now also display which source was used and the actual fixed parameter values in the subtitle for transparency.
Differential Revision: D91920684