causaltune
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py-why
AutoML for causal inference.
Pretty decent handling of multivalue categorical treatments; support in parameter service and metrics, including the right defaults for this case. Only energy_distance and LinearDML are currently supported, would be nice...
Bumps [scikit-learn](https://github.com/scikit-learn/scikit-learn) from 1.0.2 to 1.1.3. Release notes Sourced from scikit-learn's releases. scikit-learn 1.1.3 We're happy to announce the 1.1.3 release. This bugfix release only includes fixes for compatibility with...
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Updates the requirements on [ray[tune]](https://github.com/ray-project/ray) to permit the latest version. Release notes Sourced from ray[tune]'s releases. Ray-2.0.1 The Ray 2.0.1 patch release contains dependency upgrades and fixes for multiple components:...
Bumps [flaml](https://github.com/microsoft/FLAML) from 1.0.7 to 1.0.13. Release notes Sourced from flaml's releases. v1.0.13 Highlights Logging the search_state.config directly to MLflow instead of key-dictionary pair Move searcher and scheduler into tune...
Updates the requirements on [numpy](https://github.com/numpy/numpy) to permit the latest version. Release notes Sourced from numpy's releases. v1.23.4 NumPy 1.23.4 Release Notes NumPy 1.23.4 is a maintenance release that fixes bugs...
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Do we even want to bother? Could be quite fiddly as the binary treatment assumption is wired pretty deeply into the PSWEstimator in DoWhy **Is your feature request related to...
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- Adapt it to transparently handling multiple treatments - Add tests - Submit PR **Is your feature request related to a problem? Please describe.** A clear and concise description of...