Related Issues (20)
- CFRL shape inconsistencies in the target/label arrays
- Typo in TreeShap documentation HOT 2
- Data with only numeric features - alternative to get_he_preprocessor() to avoid argument category_map HOT 7
- Support Python 3.11
- Embedding Layers error in Similarity `_TensorFlowBackend`
- Setting attributes to `None` before saving can leave explainers broken if saving fails
- Documentation of ALE. How to set interval? HOT 1
- `PermutationImportance` broken with latest `scikit-learn=1.2` HOT 2
- `GradSim` Improvements HOT 3
- Report test duration in CI HOT 4
- `sklearn` OHE renaming `sparse` to `sparse_output`
- Replace Python 2 type comments with type annotations
- Generate counterfactual for non ml model HOT 3
- Path dependent TreeShap for LightGBM - `fit` and `_build_explanation` HOT 2
- `KernelShap` and `TreeShap` - improper resetting of the predictor HOT 1
- CFRL library generating counterfactual with same label HOT 3
- `KernelShap` redundant/incorrect API for OHE of the categorical features - grouping vs aggregation by summation
- [BUG] 'TfCounterfactualRLDataset' object has no attribute 'max_m' in line 99 because of a typo in definition line 73 HOT 1
- ALE uses deprecated "np.object" and raises AttributeError HOT 2
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