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Tabular ML: pairwise te logit stacking

Generates all C(n,2) pairwise feature combinations, target-encodes each pair with cuML TargetEncoder, then applies logit polynomial expansion (z, z^2, z^3) for stacking with cuML LogisticRegression.

Works with the context you provideVersion 1.0.0

Tabular pairwise te logit stacking

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  • **wenmin-wu/tabular-pairwise-te-logit-stacking**: Generates all C(n,2) pairwise feature combinations, target-encodes each pair with cuML TargetEncoder, then applies logit polynomial expansion (z, z^2, z^3) for stacking with cuML LogisticRegression. Read `references/wenmin-wu/skills/tabular/pairwise-te-logit-stacking/SKILL.md`.

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