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                                            Conor Smith

Issue with #791: Missing data allowed when training, but not inferencing

Hi there, just wondering if there any update on this as running into the same problems (doesn't allow missing values when computing CATE/ATE).

XgBoost as nuisance model in DML learners (categorical features)

Thanks for the response. In the example above, I get: `ValueError: could not convert string to float: 'zero'` So xgboost thinks this feature is numeric when it is categorical when...