Reproducible machine learning pipelines using mlflow.

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License: Apache Software License (Apache2.0)

Author: Lukas Heumos

Tags mlf_core

Requires: Python >=3.5

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Project description

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mlf-core

Github Workflow Build mlf-core Status Github Workflow Tests Status PyPI Discord Documentation Status Dependabot Enabled

Reproducible machine learning pipelines using mlflow.

Features

  • Jumpstart your machine learning project with a fully fledged mlflow project template

  • mlflow templates are fully GPU deterministic with system-intelligence

  • Conda and Docker support out of the box

  • Pytorch, Tensorflow, XGBoost supported

Credits

Primary idea and main development by Lukas Heumos. This package was created with cookietemple based on a modified audreyr/cookiecutter-pypackage project template using Cookiecutter.

Changelog

This project adheres to Semantic Versioning.

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

Project details

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Meta

License: Apache Software License (Apache2.0)

Author: Lukas Heumos

Tags mlf_core

Requires: Python >=3.5

Classifiers

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1.11.4

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1.11.2

1.11.1

1.11.0

1.10.0

1.9.1

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