Add explicit top-k group validation in uplift_at_k#226
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name: "Pull request"
about: Make changes in scikit-uplift
📑 Description of the Change
This PR adds explicit validation to uplift_at_k(..., strategy="overall") so the top-k slice must contain both treatment and control samples.
Previously, this edge case could return nan. Now it raises a clear ValueError with a helpful message instead.
Verification Process
Verified the updated code path with direct runtime checks.
Confirmed that uplift_at_k(..., strategy="overall") raises ValueError when one group is missing in the selected top-k slice.
Confirmed that valid inputs still return a finite score.
Release Notes
Improve uplift_at_k validation for empty-group top-k edge cases.
Additional info
This PR is intentionally focused on the uplift_at_k fix only.