Metadata-Version: 2.1
Name: lazygrid
Version: 5.0.5
Summary: LazyGrid: Automatic, efficient and flexible implementation of complex machine learning pipeline generation and cross-validation.
Home-page: https://github.com/glubbdubdrib/lazygrid
Author: Pietro Barbiero and Giovanni Squillero
Author-email: cleisthenes.megacleos@gmail.com
License: Apache 2.0
Description: LazyGrid
        ========
        
        |Build|
        |Coverage|
        
        |Docs|
        |Dependendencies|
        
        |PyPI download total|
        |PyPI license|
        
        
        |PyPI-version|
        |Language|
        
        |Repo size|
        |Open issues|
        
        |Maintenance|
        |Contributors|
        
        |Followers|
        |Stars|
        
        
        
        .. |Build| image:: https://img.shields.io/travis/glubbdubdrib/lazygrid?label=Master%20Build&style=for-the-badge
            :alt: Travis (.org)
            :target: https://travis-ci.org/glubbdubdrib/lazygrid
        
        .. |Coverage| image:: https://img.shields.io/codecov/c/gh/glubbdubdrib/lazygrid?label=Test%20Coverage&style=for-the-badge
            :alt: Codecov
            :target: https://codecov.io/gh/glubbdubdrib/lazygrid
        
        .. |Docs| image:: https://img.shields.io/readthedocs/lazygrid/latest?style=for-the-badge
            :alt: Read the Docs (version)
            :target: https://lazygrid.readthedocs.io/en/latest/
        
        .. |Dependendencies| image:: https://img.shields.io/requires/github/glubbdubdrib/lazygrid?style=for-the-badge
            :alt: Requires.io
            :target: https://requires.io/github/glubbdubdrib/lazygrid/requirements/?branch=master
        
        .. |Repo size| image:: https://img.shields.io/github/repo-size/glubbdubdrib/lazygrid?style=for-the-badge
            :alt: GitHub repo size
            :target: https://github.com/glubbdubdrib/lazygrid
        
        .. |PyPI download total| image:: https://img.shields.io/pypi/dm/lazygrid?label=downloads&style=for-the-badge
            :alt: PyPI - Downloads
            :target: https://pypi.python.org/pypi/lazygrid/
        
        .. |Open issues| image:: https://img.shields.io/github/issues/glubbdubdrib/lazygrid?style=for-the-badge
            :alt: GitHub issues
            :target: https://github.com/glubbdubdrib/lazygrid
        
        .. |PyPI license| image:: https://img.shields.io/pypi/l/lazygrid.svg?style=for-the-badge
           :target: https://pypi.python.org/pypi/lazygrid/
        
        .. |Followers| image:: https://img.shields.io/github/followers/glubbdubdrib?style=social
            :alt: GitHub followers
            :target: https://github.com/glubbdubdrib/lazygrid
        
        .. |Stars| image:: https://img.shields.io/github/stars/glubbdubdrib/lazygrid?style=social
            :alt: GitHub stars
            :target: https://github.com/glubbdubdrib/lazygrid
        
        .. |PyPI-version| image:: https://img.shields.io/pypi/v/lazygrid?style=for-the-badge
            :alt: PyPI
            :target: https://pypi.python.org/pypi/lazygrid/
        
        .. |Contributors| image:: https://img.shields.io/github/contributors/glubbdubdrib/lazygrid?style=for-the-badge
            :alt: GitHub contributors
            :target: https://github.com/glubbdubdrib/lazygrid
        
        .. |Language| image:: https://img.shields.io/github/languages/top/glubbdubdrib/lazygrid?style=for-the-badge
            :alt: GitHub top language
            :target: https://github.com/glubbdubdrib/lazygrid
        
        .. |Maintenance| image:: https://img.shields.io/maintenance/yes/2019?style=for-the-badge
            :alt: Maintenance
            :target: https://github.com/glubbdubdrib/lazygrid
        
        
        
        LazyGrid is a python package providing an automatic, efficient and flexible
        implementation of complex machine learning pipeline generation and cross-validation.
        
        Before fitting a model or a pipeline step, LazyGrid checks inside an internal
        SQLite database if the model has already been fitted. If the model is found,
        it won't be fitted again.
        
        Documentation for the
        `latest stable version <https://lazygrid.readthedocs.io/en/latest/>`__
        is available on ReadTheDocs.
        
        
        Table Of Contents
        ------------------
        
        -  `Getting Started <#getting-started>`__
        -  `Documentation <#documentation>`__
        -  `Running tests <#running-tests>`__
        -  `Contributing <#contributing>`__
        -  `Authors <#authors>`__
        -  `Licence <#licence>`__
        
        Getting Started
        ---------------
        
        You can install LazyGrid along with all its dependencies from
        `PyPI <https://pypi.org/project/lazygrid/>`__:
        
        .. code:: bash
        
            $ pip install -r requirements.txt lazygrid
        
        or from source code:
        
        .. code:: bash
        
            $ git clone https://github.com/glubbdubdrib/lazygrid.git
            $ cd ./lazygrid
            $ pip install -r requirements.txt .
        
        LazyGrid is compatible with Python 3.5 and above.
        
        
        Documentation
        -------------
        
        Documentation for the
        `latest stable version <https://lazygrid.readthedocs.io/en/latest/>`__
        is available on ReadTheDocs.
        
        
        Running tests
        -------------
        
        You can run all unittests from command line by using python:
        
        .. code:: bash
        
            $ python -m unittest discover
        
        or coverage:
        
        .. code:: bash
        
            $ coverage run -m unittest discover
        
        
        Contributing
        ------------
        
        Please read
        `Contributing.md <https://github.com/glubbdubdrib/lazygrid/blob/master/CONTRIBUTING.md>`__
        for details on our code of conduct, and the process for submitting pull requests to us.
        
        
        Authors
        -------
        
        * Pietro Barbiero - Mathematical engineer - `GitHub <https://github.com/pietrobarbiero>`__
        * Giovanni Squillero - Professor of computer science at Politecnico di Torino - `GitHub <https://github.com/squillero>`__
        
        Licence
        -------
        
        Copyright 2019 Pietro Barbiero and Giovanni Squillero.
        
        Licensed under the Apache License, Version 2.0 (the "License"); you may
        not use this file except in compliance with the License. You may obtain
        a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0.
        
        Unless required by applicable law or agreed to in writing, software
        distributed under the License is distributed on an "AS IS" BASIS,
        WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
        
        See the License for the specific language governing permissions and
        limitations under the License.
        
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