Metadata-Version: 2.1
Name: lorenz-zonoid
Version: 0.0.2
Summary: Computes the Shapley Lorenz Zonoid share of covariates
Home-page: https://github.com/roye10/ShapleyLorenz
Author: Roman Enzmann
Author-email: ryenzmann@hotmail.com
License: MIT
Keywords: shapley lorenz zonoid
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
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: itertools
Requires-Dist: tqdm
Requires-Dist: warnings
Provides-Extra: dev
Requires-Dist: pytest (>=3.7) ; extra == 'dev'

## Installation

Run the following to install:

```python
pip install lorenz_zonoid
````

```python
from lorenz_zonoid import ShapleyLorenzShare

# Compute Shapley Lorenz Zonoid values:
lorenzshare = ShapleyLorenzShare(model.predict, X_background_data, y_background_data)
lorenzshare.shapleyLorenz_val(X_testset)
```

# 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]
```

