{"repo":"MAIF/shapash","free":true,"listed":false,"github":"https://github.com/MAIF/shapash","clone":"git clone https://github.com/MAIF/shapash.git","description":"🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models","language":"Jupyter Notebook","stars":3253,"topics":["python","machine-learning","explainability","explainable-ml","transparency","ethical-artificial-intelligence","shap","lime","interpretability"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"🔍 Overview Shapash is a Python library designed to make machine learning interpretable and comprehensible for everyone . It offers various visualizations with clear and explicit labels that are easily understood by all. With Shapash, you can generate a Webapp that simplifies the comprehension of interactions between the model's features , and allows seamless navigation between local and global explainability . This Webapp enables Data Scientists to effortlessly understand their models and share their results with both data scientists and non-data experts . Additionally, Shapash contributes to data science auditing by presenting valuable information about any model and data in a comprehensive report . Shapash is suitable for Regression, Binary Classification and Multiclass problems. It is compatible with numerous models , including Catboost, Xgboost, LightGBM, Sklearn Ensemble, Linear models, and SVM. For other models, solutions to integrate Shapash are available; more details can be found here. [!NOTE] If you want to give us feedback : Feedback form Shapash App Demo 🌱 Documentation and resources - Readthedocs: - Video presentation for french speakers - Medium: - Understand your model with Shapash - Towards AI - Model auditability - Towards DS - Group of features - Towards AI - Building confidence on explainability - Towards DS - Picking Examples to Understand Machine Learning Model - Enhancing Webapp Built-In Features for Comprehensive Machine Learning Model Interpretation ","default_branch":null,"files":null,"tree":[],"storefront":"/r/MAIF","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/MAIF/shapash/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}