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AutomatedML
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Update copyright and links to point to PyWhy
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2023-03-20 17:30:53 -04:00 |
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CustomerScenarios
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Get datasets from web instead of blob
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2023-06-16 15:26:36 -04:00 |
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Solutions
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Get datasets from web instead of blob
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2023-06-16 15:26:36 -04:00 |
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images
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Update README.md (#320)
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2020-11-17 17:32:19 -05:00 |
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Causal Forest and Orthogonal Random Forest Examples.ipynb
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Get datasets from web instead of blob
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2023-06-16 15:26:36 -04:00 |
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Causal Model Selection with the RScorer.ipynb
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Vasilis/docs (#370)
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2021-01-19 08:50:10 -05:00 |
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Choosing First Stage Models.ipynb
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Add details on choosing first stage models (#372)
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2021-01-15 13:14:45 -05:00 |
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Deep IV Examples.ipynb
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Vasilis/docs (#370)
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2021-01-19 08:50:10 -05:00 |
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Double Machine Learning Examples.ipynb
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Get datasets from web instead of blob
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2023-06-16 15:26:36 -04:00 |
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Doubly Robust Learner and Interpretability.ipynb
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add notebook for DRIV
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2022-02-02 15:53:20 -05:00 |
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Dynamic Double Machine Learning Examples.ipynb
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Create panel subpackage
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2022-11-15 10:41:42 -05:00 |
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ForestLearners Basic Example.ipynb
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Store nuisance models and scores (#433)
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2021-03-19 16:52:28 -04:00 |
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Generalized Random Forests.ipynb
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Change the summary table format (#407)
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2021-02-19 20:33:34 -05:00 |
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Interpretability with SHAP.ipynb
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DMLIV/DRIV (#460)
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2021-08-12 21:40:43 +00:00 |
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Metalearners Examples.ipynb
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Vasilis/docs (#370)
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2021-01-19 08:50:10 -05:00 |
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OrthoIV and DRIV Examples.ipynb
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add notebook for DRIV
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2022-02-02 15:53:20 -05:00 |
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Policy Learning with Trees and Forests.ipynb
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Update Policy Learning with Trees and Forests.ipynb (#685)
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2022-10-12 14:05:59 -04:00 |
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Treatment Featurization Examples.ipynb
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enable treatment featurization (#615)
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2022-10-28 13:15:25 -04:00 |
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Weighted Double Machine Learning Examples.ipynb
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create both sample_weight and freq_weight for fit (#439)
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2021-03-31 12:56:39 -04:00 |
