Metadata-Version: 2.1
Name: wbml
Version: 0.1.1
Summary: Machine learning stuff
Home-page: https://github.com/wesselb/wbml
Author: Wessel Bruinsma
Author-email: wessel.p.bruinsma@gmail.com
License: MIT
Description: # [WBML](https://github.com/wesselb/wbml)
        
        [![Build](https://travis-ci.org/wesselb/wbml.svg?branch=master)](https://travis-ci.org/wesselb/wbml)
        [![Coverage Status](https://coveralls.io/repos/github/wesselb/wbml/badge.svg?branch=master&service=github)](https://coveralls.io/github/wesselb/wbml?branch=master)
        [![Latest Docs](https://img.shields.io/badge/docs-latest-blue.svg)](https://wesselb.github.io/wbml)
        
        Machine learning stuff
        
        _Note:_ LAB requires Python 3.5+ and TensorFlow 2 if TensorFlow is used.
        
        ## Installation
        Before installing the package, please ensure that `gcc` and `gfortran` are 
        available.
        On OS X, these are both installed with `brew install gcc`;
        users of Anaconda may want to instead consider `conda install gcc`.
        On Linux, `gcc` is most likely already available, and `gfortran` can be 
        installed with `apt-get install gfortran`.
        Then simply
        
        ```
        pip install wbml
        ```
        
Platform: UNKNOWN
Requires-Python: >=3.5
Description-Content-Type: text/markdown
