Repository Issue Activity (beta)

#1048 Error to import causal forest regressor

#1047 mape silently returns NaN when all targets are near-zero (empty filtered slice)

#1045 GradientBoostedPropensityModel early-stopping split ignores random_state and is not stratified

#1027 Default propensity models produce degenerate scores (constant on imbalanced data; overfit for the GBM variant)

#1037 cate_scoring default learner is oversized for its own per-fold, per-arm call pattern

#1036 S-, T- and X-learner bootstrap confidence intervals are not reproducible

#1035 Normalize meta-learner random_state handling through check_random_state

#1034 rlearner_score still requires outcome_learner while its siblings default to LightGBM

#1026 S-learner estimate_ate crashes on DataFrame input and returns a different shape than the other meta-learners

#1029 Metric bootstraps and R-learner cross-validation draw from global NumPy state

#1028 dr_score and plug_in_t_score document learner as optional but raise without it

#986 sklearn metadata routing: let `treatment` reach a learner inside a Pipeline

#517 Question - Cross-validation and Impact of overfitting

#1006 CausalTreeRegressor.estimate_ate understates the ATE standard error

#1017 Docs phase 2: correctness pass over the published pages, and a five-section structure

#1013 Benchmark leaderboard notebook in docs/examples (v1.0 M3)

#1012 Document benchmark dataset availability and terms (v1.0 M3)

#1011 Benchmark dataset loaders: LaLonde, IHDP, Twins (v1.0 M3)

#1010 Ground-truth CATE metrics: PEHE, epsilon_ATE, policy risk (v1.0 M3)

#1009 Dataset fetch infrastructure: cache, checksum, offline (v1.0 M3)

#1003 Make UpliftTreeClassifier pruning reachable from fit()

#908 OpenMP lib dep causes test failure.

#584 When add the Honest Tree to the CausalTreeRegressor?

#417 Add documentation for neural-net based methods to Methodology

#995 CI: no warnings-as-errors lane, so the #854 deprecation shim is untested against regressions