snehankekre/streamlit-shap
streamlit-shap provides a wrapper to display SHAP plots in Streamlit.
This is a tool for Python developers who build data applications with Streamlit and need to explain how their machine learning models make predictions. It takes SHAP (SHapley Additive exPlanations) plots generated from a model's output and displays them directly within a Streamlit application. Data scientists and ML engineers can use this to create interactive dashboards that clarify model behavior for stakeholders.
No commits in the last 6 months. Available on PyPI.
Use this if you are a Python developer or data scientist building a Streamlit application and want to incorporate visual explanations of your machine learning model's predictions.
Not ideal if you are looking for a no-code solution or if you don't use Streamlit for building your data applications.
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Language
Python
License
MIT
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Last pushed
Jul 21, 2022
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0
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