add ObjectiveAsConstraint Transform#4906
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## main #4906 +/- ##
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Coverage 96.78% 96.78%
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Lines 62303 62687 +384
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Summary: In the case of no feasible points and when there is a status_quo, this transform will add a constraint using the objective metric where the bound is the SQ value (equivalent to a >=0% relative constraint). This is important for using p(feasible), since it will make sure we do not regress the objective metric when looking for feasible points w.r.t. the other constraints. Reviewed By: saitcakmak Differential Revision: D93118131
Summary: In the case of no feasible points and when there is a status_quo, this transform will add a constraint using the objective metric where the bound is the SQ value (equivalent to a >=0% relative constraint). This is important for using p(feasible), since it will make sure we do not regress the objective metric when looking for feasible points w.r.t. the other constraints. Reviewed By: saitcakmak Differential Revision: D93118131
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This pull request has been merged in ca68b28. |
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Summary:
In the case of no feasible points and when there is a status_quo, this transform will add a constraint using the objective metric where the bound is the SQ value (equivalent to a >=0% relative constraint).
This is important for using p(feasible), since it will make sure we do not regress the objective metric when looking for feasible points w.r.t. the other constraints.
Differential Revision: D93118131