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…ator.py; Compute risks for every group within the target column; Add an example notebook.
Create class wrappers for a KNN and the ml model; Update example inference_custom_model_example.ipynb.
Add Inference model wrappers extending InferencePredictor in inference_predictor.py; Support different number of attacks; Add tests.
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@MatteoGiomi this is the second part of the original PR #48 |
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@itrajanovska can you rebase the branch on the latest master so that the changes are cleaner? |
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We need group wise risks to be able to assess the fairness of the assigned risks within groups
Successor of #48 implementing the computation of the group wise risks (as well as passing a custom ML model).