SHAPash – Shapash is a Python library that provides several types of visualization that display explicit labels that everyone can understand.
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Shapash is a Python library which aims to make machine learning interpretable and understandable by everyone. It provides several types of visualization that display explicit labels that everyone can understand.
Data Scientists can understand their models easily and share their results. End users can understand the decision proposed by a model using a summary of the most influential criteria.
Shapash also contributes to data science auditing by displaying usefull information about any model and data in a unique report.
Features
Display clear and understandable results: plots and outputs use explicit labels for each feature and its values
Allow Data Scientists to quickly understand their models by using a webapp to easily navigate between global and local explainability, and understand how the different features contribute: Live Demo Shapash-Monitor