Metadata-Version: 2.1
Name: concrete_strength_prediction
Version: 0.0.5
Summary: Concrete Strength
Home-page: https://github.com/jeandsantos/concrete-strength-prediction
Author: Jean Dos Santos
Author-email: jeandsantos88@gmail.com
License: MIT
Keywords: Concrete Strength
Platform: unix
Platform: linux
Platform: osx
Platform: cygwin
Platform: win32
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.7
Provides-Extra: testing
Provides-Extra: development
License-File: LICENSE

============================
Concrete Strength
============================


.. image:: https://img.shields.io/pypi/v/concrete_strength_prediction.svg
        :target: https://pypi.python.org/pypi/concrete_strength_prediction

.. image:: https://img.shields.io/travis/jeandsantos/concrete_strength_prediction.svg
        :target: https://travis-ci.com/jeandsantos/concrete_strength_prediction

.. image:: https://readthedocs.org/projects/concrete_strength_prediction/badge/?version=latest
        :target: https://concrete_strength_prediction.readthedocs.io/en/latest/?version=latest
        :alt: Documentation Status




Optimization of concrete mixtures with machine learning models


* Free software: MIT license
* Documentation: https://concrete_strength_prediction.readthedocs.io.


Features
--------

* TODO

Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage

=======
History
=======

0.0.1 (2022-11-11)
------------------

* First release on PyPI.


