Best alternatives to 'shap' package?

This page summarizes the projects mentioned and recommended in the original post on /r/datascience

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  • DrWhy

    DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

  • You might want to check out DrWhy. It’s a collection of R packages that help you explain ML models, but one of the real benefits if you are a Python user is that one of the packages, specifically DALEXtra, allows you to interface with Scikit-Learn models. You can build your tree-based model in Python, and then use the wide variety of tools available in the DrWhy family of packages to explain how your model is working in R.

  • alibi

    Algorithms for explaining machine learning models

  • Alibi explain might be an option depending on what you are looking for https://github.com/SeldonIO/alibi

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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