Metadata-Version: 2.1
Name: pyconfigurableml
Version: 0.0.0
Summary: Configurable ML in Python
Home-page: https://github.com/dkmiller/pyconfigurableml
Author: Daniel Miller
Author-email: daniel.keegan.miller@gmail.com
License: MIT
Description: # Configurable ML
        
        [![python](https://github.com/dkmiller/pyconfigurableml/workflows/python/badge.svg)](https://github.com/dkmiller/pyconfigurableml/actions?query=workflow%3Apython)
        [![Coverage Status](https://coveralls.io/repos/github/dkmiller/pyconfigurableml/badge.svg?branch=master)](https://coveralls.io/github/dkmiller/pyconfigurableml?branch=master)
        
        Python utilities for easily configurable machine learning.
        
        This project utilizes the excellent tutorial
        [How to Publish an Open-Source Python Package to PyPI](https://realpython.com/pypi-publish-python-package/)
        
        ## Usage
        
        ```python
        from pyconfigurableml.entry import run
        
        def main(config, log):
          # TODO: put your logic here.
          pass
        
        if __name__ == '__main__':
          # The main function will be called with appropriate configuration
          # object and logger.
          run(main)
        ```
        
        ## Roadmap
        
        Create and publish a Python package for handling configuration (via config.yml
        or command line args) logging, etc.
        
        Calculate and publish code coverage.
        
        Follow badges at [typeguard](https://github.com/agronholm/typeguard).
        
        - [Coveralls](https://docs.coveralls.io/python)
        - [Pypi badge](https://thomas-cokelaer.info/blog/2014/08/1013/), include
          number of downloads.
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
