Metadata-Version: 2.0
Name: auto-tune
Version: 0.0.2
Summary: Estimate hyper-parameter search using evolutionary algorithms
Home-page: https://github.com/whitesmith/auto-tune
Author: Whitesmith, Lda
Author-email: services@whitesmith.co
License: MIT license
Description-Content-Type: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Unix
Classifier: Operating System :: POSIX
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Utilities
Requires-Dist: click
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: scipy

========
Overview
========



Estimate hyper-parameter search using evolutionary algorithms

* Free software: MIT license

Installation
============

::

    pip install auto-tune

Documentation
=============

https://auto-tune.readthedocs.io/

Development
===========

To run the all tests run::

    tox

Note, to combine the coverage data from all the tox environments run:

.. list-table::
    :widths: 10 90
    :stub-columns: 1

    - - Windows
      - ::

            set PYTEST_ADDOPTS=--cov-append
            tox

    - - Other
      - ::

            PYTEST_ADDOPTS=--cov-append tox


Changelog
=========

0.0.1 (2017-09-01)
------------------

* First release on PyPI.


