Tutorial to mimic parameter constraint functionality for nonlinear constraints #2500
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…nstraints (facebook#2500) Summary: This diff adds to tutorials a method to early-exit trial evaluation based on an easy-to-calculate constraint metric (e.g., a nonlinear function of parameter values) in order to mimic behavior of parameter constraints when parameter constraints cannot be used. See this discussion for details ([link](facebook#2460)). Adds the following to the end of the `Special Cases` section of the Service API tutorial ([link](https://ax.dev/tutorials/gpei_hartmann_service.html#Special-Cases)): {F1670348258} Differential Revision: D58146231
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #2500 +/- ##
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- Coverage 95.28% 95.28% -0.01%
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Files 485 485
Lines 47405 47405
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- Hits 45170 45168 -2
- Misses 2235 2237 +2 ☔ View full report in Codecov by Sentry. |
…nstraints (facebook#2500) Summary: Pull Request resolved: facebook#2500 This diff adds to tutorials a method to early-exit trial evaluation based on an easy-to-calculate constraint metric (e.g., a nonlinear function of parameter values) in order to mimic behavior of parameter constraints when parameter constraints cannot be used. See this discussion for details ([link](facebook#2460)). Adds the following to the end of the `Special Cases` section of the Service API tutorial ([link](https://ax.dev/tutorials/gpei_hartmann_service.html#Special-Cases)): {F1670348258} Reviewed By: saitcakmak Differential Revision: D58146231
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Summary:
This diff adds to tutorials a method to early-exit trial evaluation based on an easy-to-calculate constraint metric (e.g., a nonlinear function of parameter values) in order to mimic behavior of parameter constraints when parameter constraints cannot be used. See this discussion for details (link).
Adds the following to the end of the
Special Casessection of the Service API tutorial (link):{F1670348258}
Differential Revision: D58146231