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I think it would be great to have this feature, as I think sklearn is often used for tabular data. I tried to use skorch, but skorch does not allow TensorFrames and did not work well.
(`examples/tu…
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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@nirum would you be open to a PR refactoring the models in models.py to be scikit-learn compatible? or add them to a separate module?
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Hello,
Currently, dragnet is not compatible with scikit-learn > 0.21.3. I did research and composed a table of compatibilities of pickled dragnet models with new sklearn versions.
| Trained wit…
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According to the README, it should be possible to use code like the following to calculate shapley values and create a waterfall plot using a `sklearn` classifier:
```
import shap
import sklearn
…
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Minimal example:
```
>>> import sklearn
>>> sklearn.__version__
1.0.1
>>> import skrules
---------------------------------------------------------------------------
ImportError …
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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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The `inprocessing` algorithms are basically like an `Estimator`. Ideally, it should be possible to replace a classifier in a scikit-learn pipeline, with one from aif360. An example pipeline (taken fro…