Issues

• Error to import causal forest regressor

  bug
  uber/causalml#1048 · Filter by author sss2924 opened on Sep 10, 2026
  1

• mape silently returns NaN when all targets are near-zero (empty filtered slice)

  uber/causalml#1047 · Filter by author krishna3554 opened on Sep 10, 2026

• GradientBoostedPropensityModel early-stopping split ignores random_state and is not stratified

  uber/causalml#1045 · Filter by author Hari20032005 opened on Sep 4, 2026

• cate_scoring default learner is oversized for its own per-fold, per-arm call pattern

  enhancement
  uber/causalml#1037 · Filter by author jeongyoonlee opened on Aug 20, 2026
  1

• S-, T- and X-learner bootstrap confidence intervals are not reproducible

  bug
  uber/causalml#1036 · Filter by author jeongyoonlee opened on Aug 20, 2026
  1

• Normalize meta-learner random_state handling through check_random_state

  refactoring
  uber/causalml#1035 · Filter by author jeongyoonlee opened on Aug 20, 2026
  1

• rlearner_score still requires outcome_learner while its siblings default to LightGBM

  enhancement
  uber/causalml#1034 · Filter by author jeongyoonlee opened on Aug 20, 2026
  1

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

  enhancement
  uber/causalml#986 · Filter by author jeongyoonlee opened on Jul 31, 2026
  7

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

  enhancementrefactoring
  uber/causalml#985 · Filter by author jeongyoonlee opened on Jul 31, 2026
  1

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

  enhancementrefactoring
  uber/causalml#980 · Filter by author jeongyoonlee opened on Jul 31, 2026

• CausalML is not compatible with Scikit-Learn Pipeline

  enhancement
  uber/causalml#854 · Filter by author PelinV opened on Oct 24, 2025
  2