Metadata-Version: 1.2
Name: mlf-core
Version: 1.2.1
Summary: Reproducible machine learning pipelines using mlflow.
Home-page: https://github.com/mlf-core/mlf-core
Author: Lukas Heumos
Author-email: lukas.heumos@posteo.net
License: Apache2.0
Description: .. image:: https://user-images.githubusercontent.com/21954664/84388841-84b4cc80-abf5-11ea-83f3-b8ce8de36e25.png
            :target: https://mlf-core.com
            :alt: mlf-core logo
        
        |
        
        ========
        mlf-core
        ========
        
        .. image:: https://github.com/mlf-core/mlf-core/workflows/Build%20mlf-core%20Package/badge.svg
                :target: https://github.com/mlf-core/mlf-core/workflows/Build%20mlf-core%20Package/badge.svg
                :alt: Github Workflow Build mlf-core Status
        
        .. image:: https://github.com/mlf-core/mlf-core/workflows/Run%20mlf-core%20Tox%20Test%20Suite/badge.svg
                :target: https://github.com/mlf-core/mlf_core/workflows/Run%20mlf-core%20Tox%20Test%20Suite/badge.svg
                :alt: Github Workflow Tests Status
        
        .. image:: https://img.shields.io/pypi/v/mlf-core.svg
                :target: https://pypi.python.org/pypi/mlf-core
                :alt: PyPI
        
        .. image:: https://img.shields.io/discord/742367395196305489?color=passing
                :target: https://discord.gg/Mv8sAcq
                :alt: Discord
        
        .. image:: https://readthedocs.org/projects/mlf-core/badge/?version=latest
                :target: https://mlf-core.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        .. image:: https://flat.badgen.net/dependabot/thepracticaldev/dev.to?icon=dependabot
                :target: https://flat.badgen.net/dependabot/thepracticaldev/dev.to?icon=dependabot
                :alt: Dependabot Enabled
        
        
        Fully GPU deterministic machine learning project templates using MLflow_.
        
        * Free software: Apache2.0
        * Documentation: https://mlf-core.readthedocs.io.
        
        
        Features
        --------
        
        * Jumpstart your machine learning project with fully fledged, multi GPU enabled mlflow project templates
        * Pytorch, Tensorflow, XGBoost supported
        * mlflow templates are fully GPU deterministic with system-intelligence
        * Conda and Docker support out of the box
        
        Credits
        -------
        
        Primary idea and main development by `Lukas Heumos <https://github.com/zethson/>`_.
        This package was created with cookietemple_ based on a modified `audreyr/cookiecutter-pypackage`_ project template using Cookiecutter_.
        
        .. _MLflow: https://mlflow.org
        .. _cookietemple: https://cookietemple.com
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
        
        
        .. _changelog_f:
        
        ==========
        Changelog
        ==========
        
        This project adheres to `Semantic Versioning <https://semver.org/>`_.
        
        
        1.2.1 (2020-08-21)
        ------------------
        
        **Added**
        
        **Fixed**
        
        * flake8 for mlflow-pytorch
        
        **Dependencies**
        
        **Deprecated**
        
        
        1.2.0 (2020-08-21)
        ------------------
        
        **Added**
        
        * Option --view to config to view the current configuration
        * Option --set_token to sync to set the sync token again
        
        **Fixed**
        
        * #41 https://github.com/mlf-core/mlf-core/issues/41 -> mlflow-pytorch multi GPU Support
        
        **Dependencies**
        
        **Deprecated**
        
        
        1.1.0 (2020-08-19)
        ------------------
        
        **Added**
        
        * Publish Docker workflow. Publishes to Github Packages per default, but can be configured.
        * Linting function, which checks mlflow-pytorch for any used atomic_add functions.
        * system-intelligence 1.2.2 -> 1.2.3
        * Support for both, MLF-CORE TODO: and TODO MLF-CORE: statements
        
        **Fixed**
        
        * Default project version from 0.1.0 to 0.1.0-SNAPSHOT.
        * Outdated screenshots
        * Nightly versions now warn instead of wrongly complaining about outdated versions.
        * Sync actor, but not yet completely for organizations
        * A LOT of documentation
        * Now using project_slug_no_hyphen to facilitate the creation of repositories with - characters.
        * Removed boston dataset from XGBoost and XGBoost_dask
        * Renamed all parameters to use hyphens instead of underscores
        
        **Dependencies**
        
        **Deprecated**
        
        
        1.0.1 (2020-08-11)
        ------------------
        
        **Added**
        
        **Fixed**
        
        * Sync workflow now uses the correct secret
        
        **Dependencies**
        
        **Deprecated**
        
        
        1.0.0 (2020-08-11)
        ------------------
        
        **Added**
        
        * Created the project using cookietemple
        * Added all major commands: create, list, info, lint, sync, bump-version, config, upgrade
        * Added mlflow-pytorch, mlflow-tensorflow, mlflow-xgboost, mlflow-xgboost_dask templates
        
        **Fixed**
        
        **Dependencies**
        
        **Deprecated**
        
Keywords: mlf_core
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.5
