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

Fully GPU deterministic machine learning project templates using MLflow.

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. This package was created with cookietemple based on a modified audreyr/cookiecutter-pypackage project template using Cookiecutter.

Changelog

This project adheres to Semantic Versioning.

1.4.0 (2020-08-28)

Added

  • model.rst documentation for all templates

  • added support for verbose output

Fixed

  • Publish Docker workflows now use the new Github registry

  • Default Docker container names are now `image: ghcr.io/{{ cookiecutter.github_username }}/{{ cookiecutter.project_slug_no_hyphen }}:{{ cookiecutter.version }}`

Dependencies

Deprecated

1.3.0 (2020-08-27)

Added

  • automatically mounting /data now in all mlflow templates (#56)

  • mlflow-xgboost xgboost from 1.1.1 to 1.2.0

Fixed

  • mlf_core.py now uses project_slug; adapted linter accordingly (#55)

  • Removed dask-cuda from mlflow-xgboost

Dependencies

Deprecated

1.2.2 (2020-08-21)

Added

Fixed

  • A couple of parameters were not with hyphen -> now default behavior

Dependencies

Deprecated

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

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

Project details

Verified details

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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

This version

1.4.0

1.3.0

1.2.2

1.2.1

1.2.0

1.1.0

1.0.1

1.0.0

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