EconML/notebooks
Amar Venugopal 27d3101e23
CATE validation - uplift uniform confidence bands (#840)
Add support for multiplier bootstrap uniform confidence band error bars for uplift curves
2024-03-19 12:54:10 -04:00
..
AutomatedML Update copyright and links to point to PyWhy 2023-03-20 17:30:53 -04:00
CustomerScenarios Allow newer shap, matlab, and seaborn versions 2023-10-25 01:38:49 -04:00
Solutions Get datasets from web instead of blob 2023-06-16 15:26:36 -04:00
images Scaling ortholearners using Ray (#800) 2023-10-27 18:17:14 -04:00
CATE validation.ipynb CATE validation - uplift uniform confidence bands (#840) 2024-03-19 12:54:10 -04:00
Causal Forest and Orthogonal Random Forest Examples.ipynb Get datasets from web instead of blob 2023-06-16 15:26:36 -04:00
Causal Model Selection with the RScorer.ipynb Remove linear_first_stages from docs and tests 2024-02-06 11:15:05 -05:00
Choosing First Stage Models.ipynb Remove linear_first_stages from docs and tests 2024-02-06 11:15:05 -05:00
Deep IV Examples.ipynb Vasilis/docs (#370) 2021-01-19 08:50:10 -05:00
Double Machine Learning Examples.ipynb Remove linear_first_stages from docs and tests 2024-02-06 11:15:05 -05:00
Doubly Robust Learner and Interpretability.ipynb add notebook for DRIV 2022-02-02 15:53:20 -05:00
Dynamic Double Machine Learning Examples.ipynb Create panel subpackage 2022-11-15 10:41:42 -05:00
ForestLearners Basic Example.ipynb Store nuisance models and scores (#433) 2021-03-19 16:52:28 -04:00
Generalized Random Forests.ipynb Change the summary table format (#407) 2021-02-19 20:33:34 -05:00
Interpretability with SHAP.ipynb DMLIV/DRIV (#460) 2021-08-12 21:40:43 +00:00
Metalearners Examples.ipynb Vasilis/docs (#370) 2021-01-19 08:50:10 -05:00
OrthoIV and DRIV Examples.ipynb add notebook for DRIV 2022-02-02 15:53:20 -05:00
Policy Learning with Trees and Forests.ipynb Remove linear_first_stages from docs and tests 2024-02-06 11:15:05 -05:00
Scaling EconML using Ray.ipynb Enable model selection for first stage models (#808) 2023-11-11 19:57:59 +00:00
Treatment Featurization Examples.ipynb enable treatment featurization (#615) 2022-10-28 13:15:25 -04:00
Weighted Double Machine Learning Examples.ipynb create both sample_weight and freq_weight for fit (#439) 2021-03-31 12:56:39 -04:00