Metadata-Version: 2.1
Name: dffml
Version: 0.3.5
Summary: Data Flow Facilitator for Machine Learning
Home-page: https://github.com/intel/dffml
Author: John Andersen
Author-email: john.s.andersen@intel.com
Maintainer: John Andersen
Maintainer-email: john.s.andersen@intel.com
License: MIT
Description: # Data Flow Facilitator for Machine Learning (dffml)
        
        [![Actions Status](https://github.com/intel/dffml/workflows/Tests/badge.svg?branch=master&event=push)](https://github.com/intel/dffml/actions)
        [![codecov](https://codecov.io/gh/intel/dffml/branch/master/graph/badge.svg)](https://codecov.io/gh/intel/dffml)
        [![CII](https://bestpractices.coreinfrastructure.org/projects/2594/badge)](https://bestpractices.coreinfrastructure.org/projects/2594)
        [![Gitter chat](https://badges.gitter.im/gitterHQ/gitter.svg)](https://gitter.im/dffml/community)
        [![PyPI version](https://img.shields.io/pypi/v/dffml.svg)](https://pypi.org/project/dffml)
        
        ## Mission Statement
        
        DFFML aims to be the easiest way to use Machine Learning.
        
        We take a "just bring your data" approach to ML. DFFML is an AutoML (Automated
        Machine Learning) library, command line application, HTTP service, and soon, web
        UI.
        
        You give DFFML your data and tell it what kind of model you want to train and it
        creates a model for you.
        
        If you want finer grained control over the model, you can easily do so by
        implementing your own model plugin.
        
        We also make it easy to use and deploy your models.
        
        ## Documentation
        
        Documentation for the latest release is hosted at https://intel.github.io/dffml/
        
        Documentation for the master branch is hosted at
        https://intel.github.io/dffml/master/index.html
        
        ## Contributing
        
        The [contributing page](https://intel.github.io/dffml/master/contributing/index.html)
        will guide you through getting setup and contributing to DFFML.
        
        ## Help
        
        - Ask a question via an [issue](https://github.com/intel/dffml/issues/new?assignees=&labels=question&template=question.md&title=question%3A+)
        - Send an email to dffml-users@lists.01.org
          - You can subscribe to the users mailing list here
            https://lists.01.org/postorius/lists/dffml-users.lists.01.org/
        - Ask a question on the [Gitter chat](https://gitter.im/dffml/community)
        
        ## License
        
        DFFML is distributed under the [MIT License](LICENSE).
        
        ## Legal
        
        > This software is subject to the U.S. Export Administration Regulations and
        > other U.S. law, and may not be exported or re-exported to certain countries
        > (Cuba, Iran, Crimea Region of Ukraine, North Korea, Sudan, and Syria) or to
        > persons or entities prohibited from receiving U.S. exports (including
        > Denied Parties, Specially Designated Nationals, and entities on the Bureau
        > of Export Administration Entity List or involved with missile technology or
        > nuclear, chemical or biological weapons).
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Description-Content-Type: text/markdown
Provides-Extra: sources
Provides-Extra: dev
Provides-Extra: all
Provides-Extra: models
