Comments (2)
Thanks! This should be straightforward, not least because we've recently put a lot of effort into getting the release cycle "commit-less": for example, the version number from git tags, the release notes from GitHub PRs, and so on.
I'll plan to make this release myself, but for the purposes of knowledge transfer feel free to look through the contributing guide to get a feel for the steps required.
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If I can help you with anything here, feel free to ping me and tell me which part you want to get rid of ;)
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Related Issues (20)
- BUG: AttributeError when using CatBoost with columns containing special characters
- BUG: Pytorch DeepExplainer SHAP explanations do not sum up to the model's output HOT 3
- BUG:
- BUG: NaN values created flattened Beeswarms HOT 1
- BUG: XGBRFRegressor invalid number of trees error with shap>=0.42 HOT 3
- BUG: TreeSHAP Interventional explanations segmentation fault HOT 3
- BUG: Problem of dimension during KernelExplainer HOT 6
- ENH: Not showing nan values on Beeswarm or violin plots
- BUG: Discrepancy among SHAP beeswarm and Seaborn swarmplots
- Intrepreting Siamese Network using SHAP values HOT 5
- ENH: Support SeLU activations for Tensorflow DeepExplainer
- BUG: AssertionError: The SHAP explanations do not sum up to the model's output HOT 1
- [Meta-issue] deprecation tracker for upcoming releases HOT 2
- BUG: missing **dmatrix_props in shape_interaction module HOT 1
- BUG: TreeExplainer ignores "link" argument passed by the Explainer API HOT 1
- BUG: SHAP Partition explainer fails for a single token text input HOT 5
- BUG: Shap value cannot be calculated according to NLP tutorial on the original website HOT 17
- Segmentation Fault on MacOS with pytorch > 2.2.0 HOT 4
- ENH: Faster import performance HOT 1
- ENH: Label dots in scatterplot according to classes and add a legend
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