Comments (2)
I agree, this should be relatively easy fix, most probably in mkdocs.yml. You can test if the solution works by building the docs using:
mkdocs build
Feel free to pick it up :)
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Is fixed with the latest release. See https://ing-bank.github.io/probatus/api/sample_similarity.html#probatus.sample_similarity.resemblance_model.SHAPImportanceResemblance
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Related Issues (20)
- Update Probatus to use the latest version of SHAP HOT 23
- Antivirus blacklisted and blocked Probatus website HOT 7
- Option early_stopping_rounds missing for LightGBM in ShapRFECV HOT 12
- Patch release v2.1.1 HOT 2
- Spark Support of ShapRFECV HOT 3
- python3.12 support HOT 2
- Support for shap==0.43.0 HOT 6
- AttributeError: module 'numpy' has no attribute 'bool'. HOT 2
- Random state not set consistently. HOT 1
- Add explicit support for regressors next to classifiers HOT 1
- Introduce dependabot for help with dependency updates
- Investigate if parts of the codebase can leverage other libraries code HOT 2
- Update all notebooks according to latest code. HOT 1
- Probatus v3.0.0+ missing features & issues. HOT 2
- Add a notebook which shows the use of Probatus with pySpark
- Add seed to explainer + remove np.random.state() HOT 1
- Create a new tag HOT 3
- eval_metric in EarlyStoppingShapRFECV not used for LGBMClassifier HOT 1
- Replace Matplotlib by Plotly for interactive graphs
- Got error running shap_elimination.fit_compute() HOT 3
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