py-why/EconML
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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Jupyter NotebookNOASSERTION
Issues
- 5
How to use LinearDML and causalforestDML to get CATE
#926 opened by GladysKao - 0
- 1
CATE Estimation for with multiple features
#921 opened by vnwbd - 3
- 3
Migrate DeepIV to new TensorFlow API or PyTorch
#889 opened by kbattocchi - 1
How to save model to PMML
#918 opened by lppppppf - 3
- 0
Output the intercept value in CausalForestDML
#915 opened by zcrong811 - 2
Unable to run tests
#913 opened by ronikobrosly - 0
Is there an equivalent to `get.forest.weights()` from the `grf` R package?
#914 opened by RodrigoGrijalba - 3
ERROR: ERROR: Failed to build installable wheels for some pyproject.toml based projects (shap)
#912 opened by cccchou - 2
- 2
Individual Treatment Effects
#869 opened by PrannoyLFC - 2
DRtester error either with CausalForestDML or with pandas dataframes (or both?) ?
#852 opened by divyadev-vinted - 2
- 1
Bug when passing featurizer that requires more than 1 row in SparseLinearDrLearner
#905 opened by itamarfaran - 1
criterion in grf.CausalForest
#904 opened by hila-de-moon - 2
- 1
- 0
- 0
oob_predict_interval: request to add functionality for prediction of out-of-bag confidence intervals
#896 opened by 4Freye - 6
- 3
V0.15.0 runs hours longer than V0.14.0
#895 opened by Jiaqi-ads - 1
Support numpy 2.0
#890 opened by kbattocchi - 1
Causal Forest DML has very wide confidence interval
#893 opened by silulyu - 0
Support scikit-learn 1.5.0
#892 opened by imatiach-msft - 2
Why Shape of Y in Causal Forest notebook is 1000*1000
#888 opened by silulyu - 1
How can I calculate the treatment effect function in a double machine learning model?
#887 opened by Wangpc-972 - 5
- 0
Questions about econml and CausalForestDML
#884 opened by benTC74 - 0
Reduce residual confounding in time series
#886 opened by juandavidgutier - 5
DynamicDML() issue: AttributeError: Provided crossfit folds contain training splits that don't contain all treatments DynamicDML
#859 opened by samanbanafti - 3
- 2
Calculation of confidence intervals in NormalInferenceResults becomes very slow when passing big dataframes
#878 opened by gdaiha - 1
DML discrete outcome
#881 opened by nicolavizioli - 0
Confounder adjusting before applying the ITE model to observational data
#877 opened by YeechingTiger - 4
Reproducible error: SHAP ExplainerError: Additivity check failed in TreeExplainer
#873 opened by yanisvdc - 3
`shap_values` for tree-based models doesn't set `check_additivity=False` as expected
#866 opened by jcreinhold - 2
Questions regarding DRPolicyForest results
#874 opened by lee-uidam - 1
A column-vector y was passed when a 1d array was expected (however, y is already a 1d array)
#868 opened by yanisvdc - 1
Converting to Python object not allowed without gil
#871 opened by forestqin - 1
- 5
[Bug] fit_cate_incercept argument in econml.dml.DML does not add intercept correctly
#865 opened by julioasotodv - 3
Confidence Interval for categorical outcome
#862 opened by ellpri - 3
Inconsistent ATE estimation
#860 opened by ellpri - 0
Will DRIV be able to support multiple treatments via multiple instruments?
#858 opened by xiaolealyssaliu - 0
Is a feature engineered from treatment T another treatment to consider for CATE?
#857 opened by kalel1976x - 0
- 2
Discrepancy between 0.14.1 and 0.15.0
#853 opened by winston-zillow - 1
Importing overrides logging.basicConfig
#851 opened by Ftrejo23