iXAI
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mmschlk
Fast and incremental explanations for online machine learning models. Works best with the river framework.
Add specific unit tests for the validators that show that they are working as intended. (Torch model, sklearn model, river models, custom loss functions, river metrics)
The storage module needs to be documented further. At least all public classes and public class methods need to be well documented.
The imputer module needs to be documented further. At least all public classes and public class methods need to be well documented.
Extend Capabilities of the visualization submodule that has sensible defaults for iPFI and iSAGE (e.g. performance of SAGE in terms of marginal and model loss.)