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ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goal...
Thank you all for such a wonderful library! I'm concerned that imputing missing at random (MAR) entries in X and W outside of the cross-fitting procedures of the estimators in...
Hi! I am trying to use the DRtester from econML to understand whether there actually is heterogeneity in the CATE that I am estimating. As I understand, the DRtester was...
I have a fixed dataset with ~200 covariates and a 6-category discrete treatment and trained `CausalForestDML` models in both v0.14.1 and v0.15.0 with identical configs and codes, but the results...
Hello there I am setting up my main script and narrowed the issue down to this import below. `from econml.dml import NonParamDML` I looked in the documentation and couldn't find...
Hi! Is it possible to include variables that only moderate but do not confound the relationship between `T` and `Y`? Using the `CausalForestDML`, I would like to include an additional...
I get the error `TypeError: C function sklearn.utils._cython_blas.__pyx_fuse_0_copy has wrong signature (expected void (int, float *, int, float *, int), got void (int, float const *, int, float const *,...
Hi, I have a clarification question on how to use categorical variables taking a large number of unique values as confounders in the family of DML models. A simplified hypothetical...
Hi EconML Team, I am working on causal inference over compositional data. I wonder if we need to furhter preprocess our data first (e.g., Centered log ratio transform) before we...
Experimenting with notebook outputs, this isn't a PR to be merged
