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Implement [Equalized Odds Postprocessing](https://aif360.readthedocs.io/en/stable/modules/generated/aif360.algorithms.postprocessing.EqOddsPostprocessing.html#aif360.algorithms.postprocessing.EqOddsPo…
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- [ ] DisparateImpactRemover
- [x] LearnedFairRepresentation
- [ ] OptimizedPreprocessing
- [X] Reweighing
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@amueller asked me to open this issue.
When creating new estimators using any of the base classes, or inheriting from any of the main sklearn classes, there is no complete list (or any list?) of al…
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Add automatic documintation to project.
The sample-repo could be used as a refference for a sphinx implemintation.
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The latest runs of CI tests are failing due to failing imports from sklearn.
We should pin the newest version of sklearn to one that works, and eventually update the code to be compatible with the la…
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It would be great to get the scikit-learn Array API back-end to be compatible with MLX (which is mostly conformant with the array API).
Here is an example which currently does not work for a few r…
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Is is possible to export models trained using Scikit-Survival (sksurv)?
This is the repos for sksurv: https://github.com/sebp/scikit-survival
sksurv contains a RandomSurvivalForest algorithm whi…
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Hi @TomasBeuzen,
We were considering to use this package to classify some beach profiles. However, while trying to incorporate this package into our environment @dani-x-98 ran into some issues, wh…
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There was a new release of numpy (version 2.0) last month that I think is not compatible with python-javabridge. As far as I can tell, the only version requirement check in CPA for numpy is "numpy>=1.…
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The sklearn model used in this package was made for sklearn version 0.20.2. The latest stable version of sklearn is 0.23.2, and it is not compatible with the model from 0.20.2. When trying to run this…