Metadata-Version: 2.1
Name: probatus
Version: 1.5.0
Summary: Tools for machine learning model validation
Home-page: https://github.com/ing-bank/probatus
Author: ING Bank N.V.
Author-email: ml_risk_and_pricing_aa@ing.com
License: MIT License
Description: <img src="docs/img/logo_large.png" width="120" align="right">
        
        [![pytest](https://github.com/ing-bank/probatus/workflows/Unit%20tests/badge.svg)](https://github.com/ing_rpaa/probatus/actions)
        [![coverage report](https://gitlab.com/ing_rpaa/probatus/badges/master/coverage.svg)](https://gitlab.com/ing_rpaa/probatus/-/commits/master)
        [![PyPi Version](https://img.shields.io/pypi/pyversions/probatus)](#)
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        # Probatus
        
        ## Overview
        
        **Probatus** is a Python library that allows to analyse binary classification models as well as the data used to develop them.
        The main features assess the metric stability and analyse differences between two data samples e.g. shift between train and test splits.
        
        ## Installation
        
        In order to install probatus you need to use Python 3.6 or higher.
        
        You can install probatus using pip:
        
        ```bash
        pip install probatus
        ```
        
        Alternatively you can fork/clone and run:
        
        ```bash
        git clone https://gitlab.com/ing_rpaa/probatus.git
        cd probatus
        pip install .
        ```
        
        ## Documentation
        
        Documentation can be found [here](https://ing-bank.github.io/probatus/).
        
        ## Contribution
        
        To learn more about making a contribution to probatus, please see [`CONTRIBUTING.md`](CONTRIBUTING.md).
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
