{"repo":"oegedijk/explainerdashboard","free":true,"listed":false,"github":"https://github.com/oegedijk/explainerdashboard","clone":"git clone https://github.com/oegedijk/explainerdashboard.git","description":"Quickly build Explainable AI dashboards that show the inner workings of so-called \"blackbox\" machine learning models.","language":"Python","stars":2510,"topics":["dash","shap-values","dashboard","model-predictions","data-scientists","explainer","interactive-dashboards","permutation-importances","shap","plotly"],"license":"MIT","category":"dashboards-admin","readme_excerpt":"explainerdashboard by: Oege Dijk This package makes it convenient to quickly deploy a dashboard web app that explains the workings of a (scikit-learn compatible) machine learning model. The dashboard provides interactive plots on model performance, feature importances, feature contributions to individual predictions, \"what if\" analysis, partial dependence plots, SHAP (interaction) values, visualization of individual decision trees, etc. You can also interactively explore components of the dashboard in a notebook/colab environment (or just launch a dashboard straight from there). Or design a dashboard with your own custom layout and explanations (thanks to the modular design of the library). And you can combine multiple dashboards into a single ExplainerHub. Dashboards can be exported to static html directly from a running dashboard, or programmatically as an artifact as part of an automated CI/CD deployment process. Examples deployed at: Fly.io, Hugging Face Space, detailed documentation at explainerdashboard.readthedocs.io, example notebook on how to launch dashboard for different models here, and an example notebook on how to interact with the explainer object here. Works with scikit-learn , xgboost , catboost , lightgbm , and skorch (sklearn wrapper for tabular PyTorch models) and others. Installation You can install the package through pip: pip install explainerdashboard or conda-forge: conda install -c conda-forge explainerdashboard SageMaker Studio SageMaker Studio runs","default_branch":null,"files":null,"tree":[],"storefront":"/r/oegedijk","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/oegedijk/explainerdashboard/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."}