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uber / causalml

Uplift modeling and causal inference with machine learning algorithms

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Can CausalML allows missing predictors?

aw47aw47 opened this issue · comments

commented

I got errors messages indicating NAN values in my predictors in both UpliftRandomForestClassifier and CEVAE. A little surprised since a lot of non-traditional-statistical-based ML methods allow missing values.

Error message: Input X contains NaN

I might miss something. But if there're solutions/additional enhancement can be done, please let me know.