Comments (2)
Matgrb
commented on May 21, 2024
#97 covers the discussion around this topic.
We have decided to not use dependabot, in order to not force the users to use the newest version of all packages.
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timvink
commented on May 21, 2024
There is another way however. If we run the unit tests everyday, we will know pretty soon if probatus is breaking when any of the dependencies have updated (because we use >= in dependencies).
Opened #113 to address this.
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Related Issues (20)
- Unit tests should only contain assertions that make sense in the context of the functionality. HOT 2
- Mkdocs fails HOT 2
- 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 11
- 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.
- 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
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