Metadata-Version: 2.1
Name: shapley-lz
Version: 0.0.5
Summary: Computes the Shapley Lorenz Zonoid share of a set of covariates
Home-page: https://github.com/roye10/ShapleyLorenz
Author: Roman Enzmann
Author-email: ryenzmann@hotmail.com
License: MIT
Description: ## Installation
        
        Run the following to install:
        
        ```python
        pip install shapley_lz
        ````
        
        ```python
        from shapley_lz import ShapleyLorenzShare
        
        # Compute Shapley Lorenz Zonoid values:
        # model = iml_mode.fit(X_background, y_background)
        lorenzshare = ShapleyLorenzShare(model.predict, X_background_data, y_background_data)
        lorenzshare.shapleyLorenz_val(X_test, y_test)
        ```
        
        # Developing Shapley Lorenz Zonoid
        
        To install lorenz_zonoid, along with the tools you need to develop and run tests, run the following in your virtualenv:
        
        ```bash
        $ pip install -e .[dev]
        ```
Keywords: shapley lorenz zonoid explainable machine learning AI
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Provides-Extra: dev
