Shapash

Shapash is a Python library dedicated to the interpretability of Data Science models. It provides several types of visualization that display explicit labels that everyone can understand. Data Scientists can more easily understand their models, share their results and easily document their projects in an HTML report. End users can understand the suggestion proposed by a model using a summary of the most influential criteria.

Features

Compatible with Shap and Lime
Uses shap backend to display results in a few lines of code
Encoders objects and features dictionaries used for clear results
Compatible with category_encoders & Sklearn ColumnTransformer
Visualizations of global and local explainability
Webapp to easily navigate from global to local
Summarizes local explanation
Offers several parameters in order to summarize in the most suitable way for your use case

Project Samples

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License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2024-08-07

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