Metadata-Version: 2.1
Name: dffml
Version: 0.3.7
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 and most convenient way to use Machine Learning.
        
        - It's an AutoML Python library, command line application, and HTTP service.
        
        - You give it your data and tell it what kind of model you want to train. 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 make it easy to use and deploy your models.
        
        - We provide a directed graph concurrent execution environment with managed
          locking which we call DataFlows.
        
        - DataFlows make it easy to generate datasets or modify existing datasets for
          rapid iteration on feature engineering.
        
        ## 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: all
Provides-Extra: models
Provides-Extra: sources
Provides-Extra: dev
