Metadata-Version: 2.1
Name: betacal
Version: 1.1.0
Summary: Beta calibration
Home-page: https://betacal.github.io/
Author: Telmo de Menezes e Silva Filho and Miquel Perello Nieto
Author-email: tmfilho@gmail.com
License: MIT
Download-URL: https://github.com/betacal/python/archive/refs/tags/1.1.0.tar.gz
Description: # Beta calibration - Python package
        
        This package provides a BetaCalibration class which allows the user to fit any of our three proposed beta calibration models. For the paper and tutorials, check [https://betacal.github.io/](https://betacal.github.io/).
        
        ## Dependencies
        
        * [Numpy] - NumPy is the fundamental package for scientific computing with
          Python.
        * [Scikit-learn] - Machine Learning in Python.
        
        ## Usage
        
         - Install from pip using "pip install betacal"
         - Alternatively, download from the repository, cd to the folder and use "pip install ."
         - Once installed, import the package using "import betacal" 
        
        ## Unittest
        
        Create a virtual environment with the necessary dependencies
        
        ```
        virtualenv venv
        . ./venv/bin/activate
        pip install -r requirements.txt
        ```
        
        and then run the script runtests.sh
        
        ```
        bash runtests.sh
        ```
        
        ## License
        
        MIT
        
        [//]: # (References)
           [Numpy]: <http://www.numpy.org/>
           [Scikit-learn]: <http://scikit-learn.org/>
        
Keywords: classifier calibration,calibration,classification
Platform: UNKNOWN
Description-Content-Type: text/markdown
