Metadata-Version: 1.2
Name: explainerdashboard
Version: 0.1.8.0
Summary: library that
Home-page: https://github.com/oegedijk/explainerdashboard
Author: Oege Dijk
Author-email: oegedijk@gmail.com
License: MIT
Project-URL: Github page, https://github.com/oegedijk/explainerdashboard/
Project-URL: Documentation, https://explainerdashboard.readthedocs.io/
Description: 
            explainerdashboard allows you quickly build an interactive dashboard to explain the inner workings of your machine learning model.
        
            It includes:
            - Model summary statistics
            - SHAP values (importances, individual contributions, dependence plots, interaction plots, etc)
            - permutation importances
            - partial dependence plots
            - DecisionTree visualizers
        
            You can display an interactive dashboard with all of these features with only three lines of code.
        
            A deployed example can be found at http://titanicexplainer.herokuapp.com
            
Keywords: machine learning,explainability,shap,feature importances,dash
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Environment :: Web Environment
Classifier: Framework :: Dash
Classifier: Framework :: Flask
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
