mlf-core 1.5.0

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.

1.5.0 (2020-10-29)

Added

• Check for non-deterministic functions for mlflow-tensorflow linter

• Check for all_reduce for mlflow-xgboost templates

• Check for OS for system-intelligence runs. If not Linux -> don’t run system-intelligence

• .gitattributes to templates, which ignores mlruns

• Documentation on creating releases

Fixed

• Sync now operates correctly with the correct PR URL

Dependencies

Deprecated

1.4.4 (2020-10-22)

Added

Fixed

• Conda report generation

Dependencies

Deprecated

1.4.3 (2020-09-17)

Added

Fixed

• Internal Github workflows

• Docker documentation

Dependencies

Deprecated

1.4.2 (2020-09-11)

Added

Fixed

• Accidentally left a - in the train_cpu.yml of mlflow-pytorch

• mlflow-pytorch and mlflow-tensorflow now only train for 2 epochs on train_cpu.yml

Dependencies

Deprecated

1.4.1 (2020-09-10)

Added

Fixed

• Github username must now always be lowercase, since Docker does not like uppercase letters

• Fixed train_cpu workflows to use the correct containers

Dependencies

Deprecated

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

• #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