EconML
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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...
Hi! How can I get scores of propensity_model in Domain Adoptation Lerner?
Hi! When using the intercept method, I get the error "could not convert string to float: '2020-12-05'". How to use this method if there are dates in the data?
Hi, This is more of a question concerning the _grf_ module rather than an issue. We tried to use _grf.CausalForest_ to estimate the heterogeneous causal effect with multiple treatments. In...
Hi! Can you provide scientific articles that formed the basis of the domain adaptation learner method?
The `CausalTreeDML` class allows me to specify my own choices of models for `model_y` and `model_t`, but does not allow to customize the way their constructors and `fit` methods are...
Current implement for DML is based on gradient-base approach like tree-method. Any one know how to use the deep learning to implement the DML?
when call ForestDRLearner， set model_regression=make_pipeline(ordinal_encoder,HistGradientBoostingClassifier())， set ordinal_encoder=make_column_transformer( (OrdinalEncoder(), make_column_selector()), remainder='passthrough') ps.omitted some unimportant parameters. then report error: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead....
Is it possible to use `CausalForestDML` with a multidimensional treatment (5 continuous columns) with `XGBRegressor`? I see `model_y` accepts `XGBRegressor`, but `model_t` complains in a following way: ``` def _validate_meta_shape(data):...
Hi all, I am trying to run a model with DMLIV, of a binary treatment with CATE estimation. However, I have a problem calling the method_name. Additionally, there is any...
