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Metric bootstraps and R-learner cross-validation draw from global NumPy state

Status: Open.

#1029 In uber/causalml;

· jeongyoonlee opened on Aug 16, 2026

dr_score and plug_in_t_score document learner as optional but raise without it

Status: Open.

#1028 In uber/causalml;

· jeongyoonlee opened on Aug 16, 2026

Default propensity models produce degenerate scores (constant on imbalanced data; overfit for the GBM variant)

Status: Open.

#1027 In uber/causalml;

· jeongyoonlee opened on Aug 16, 2026

S-learner estimate_ate crashes on DataFrame input and returns a different shape than the other meta-learners

Status: Open.

#1026 In uber/causalml;

· jeongyoonlee opened on Aug 16, 2026

sklearn metadata routing: let treatment reach a learner inside a Pipeline

enhancementNew feature or requestNew feature or request

Status: Open.

#986 In uber/causalml;

· jeongyoonlee opened on Jul 31, 2026

Flip every signature to (X, y, treatment, ...) and delete the deprecation shim

enhancementNew feature or requestNew feature or request

refactoringCode refactoringCode refactoring

Status: Open.

#985 In uber/causalml;

· jeongyoonlee opened on Jul 31, 2026

Adopt the scikit-learn fit(X, y, treatment, ...) argument order (v1.0 M1)

enhancementNew feature or requestNew feature or request

refactoringCode refactoringCode refactoring

Status: Open.

#980 In uber/causalml;

· jeongyoonlee opened on Jul 31, 2026

CausalML is not compatible with Scikit-Learn Pipeline

enhancementNew feature or requestNew feature or request

Status: Open.

#854 In uber/causalml;

· PelinV opened on Oct 24, 2025