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

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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.

1.0.0 (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

Verified details

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Maintainers
Avatar for zethson from gravatar.com zethson

Unverified details

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Project links
Meta
  • License: Apache Software License (Apache2.0)
  • Author: Lukas Heumos
  • Tags mlf_core
  • Requires: Python >=3.5
Classifiers

Release history Release notifications | RSS feed

1.11.4

1.11.3

1.11.2

1.11.1

1.11.0

1.10.0

1.9.1

1.9.0

1.8.0

1.7.7

1.7.6

1.7.5

1.7.4

1.7.3

1.7.2

1.7.1

1.7.0

1.6.1

1.5.0

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.3.0

1.2.2

1.2.1

1.2.0

1.1.0

1.0.1

This version

1.0.0

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