getindata / kedro-kubeflow

Kedro Plugin to support running workflows on Kubeflow Pipelines
https://kedro-kubeflow.readthedocs.io
Apache License 2.0
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build(deps): bump kedro-mlflow from 0.11.1 to 0.11.5 #206

Closed dependabot[bot] closed 1 year ago

dependabot[bot] commented 1 year ago

Bumps kedro-mlflow from 0.11.1 to 0.11.5.

Release notes

Sourced from kedro-mlflow's releases.

Release 0.11.5

[0.11.5] - 2022-12-12

Added

  • :sparkles: Added an extra server.mlflow_registry_uri key in mlflow.yml to set the mlflow registry uri. (#260)
  • :sparkles: Add support for authorization with expiring tokens by adding an extra server.request_header_provider entry in mlflow.yml (#357)

Fixed

  • :bug: MlflowArtifactDataSet.load() now correctly loads the artifact when both artifact_path and run_id arguments are specified. Previous fix in 0.11.4 did not work because when the file already exist locally, mlflow did not download it again so tests were incorrectly passing (#362)

Removed

  • :fire: :boom: Remove reload_kedro_mlflow line magic for notebook because kedro will deprecate the entrypoint in 0.18.3. It is still possible to access the mlflow client associated to the configuration in a notebook with context.mlflow.server._mlflow_client (#349). This is not considered as a breaking change since apparently no one uses it according to a discussion with kedro's team.

Release 0.11.4

[0.11.4] - 2022-10-04

Fixed

  • :bug: MlflowArtifactDataSet.load() now correctly loads the artifact when both artifact_path and run_id arguments are specified instead of raising an error (#362)

Release 0.11.3

[0.11.3] - 2022-09-06

Changed

  • :loud_sound: kedro-mlflow has its default logging level set to INFO. This was the default for kedro<=0.18.1. For kedro>=0.18.2, you can change the level in logging.yml (#348)

Fixed

  • :bug: kedro-mlflow now use the package_name as experiment name by default if it is not specified. This is done to ensure consistency with the behaviour with no mlflow.yml file (#328)
  • :memo: Update broken links to the most recent kedro and mlflow documentation

Release 0.11.2

[0.11.2] - 2022-08-28

Changed

  • :sparkles: kedro-mlflow now runs even without a mlflow.yml file in your conf/<env> folder. As a consequence, running kedro mlflow init is now optional and should be only used for advanced configuration. (#328)

Changelog

Sourced from kedro-mlflow's changelog.

[0.11.5] - 2022-12-12

Added

  • :sparkles: Added an extra server.mlflow_registry_uri key in mlflow.yml to set the mlflow registry uri. (#260)
  • :sparkles: Add support for authorization with expiring tokens by adding an extra server.request_header_provider entry in mlflow.yml (#357)

Fixed

  • :bug: MlflowArtifactDataSet.load() now correctly loads the artifact when both artifact_path and run_id arguments are specified. Previous fix in 0.11.4 did not work because when the file already exist locally, mlflow did not download it again so tests were incorrectly passing (#362)

Removed

  • :fire: :boom: Remove reload_kedro_mlflow line magic for notebook because kedro will deprecate the entrypoint in 0.18.3. It is still possible to access the mlflow client associated to the configuration in a notebook with context.mlflow.server._mlflow_client (#349). This is not considered as a breaking change since apparently no one uses it according to a discussion with kedro's team.

[0.11.4] - 2022-10-04

Fixed

  • :bug: MlflowArtifactDataSet.load() now correctly loads the artifact when both artifact_path and run_id arguments are specified instead of raising an error (#362)

[0.11.3] - 2022-09-06

Changed

  • :loud_sound: kedro-mlflow has its default logging level set to INFO. This was the default for kedro<=0.18.1. For kedro>=0.18.2, you can change the level in logging.yml (#348)

Fixed

  • :bug: kedro-mlflow now uses the package_name as experiment name by default if it is not specified. This is done to ensure consistency with the behaviour with no mlflow.yml file (#328)
  • :memo: Update broken links to the most recent kedro and mlflow documentation

[0.11.2] - 2022-08-28

Changed

  • :sparkles: kedro-mlflow now runs even without a mlflow.yml file in your conf/<env> folder. As a consequence, running kedro mlflow init is now optional and should be only used for advanced configuration. (#328)
Commits
  • e44fcff :rocket: Bump version and CHANGELOG for release 0.11.5 (#384)
  • 289e886 :arrow_up: Bump isort from 5.10.1 to 5.11.1
  • 9895f2b :construction_worker: Update CI dependencies and change defaults
  • 3b71b1a :mag: Nudge users to star the repo
  • e009fee :pencil2: Remove duplicated PyPI classifiers entries
  • eb15432 :wrench: Update isort configuration to most recent style
  • c2e8055 :arrow_up: Update sphinx-rtd-theme requirement
  • 4a2fea8 :arrow_up: Update pytest-cov requirement
  • 4319d97 :arrow_up: Update sphinx-click requirement from <4.4,>=3.1 to >=3.1,<4.5
  • 7c6afdd :arrow_up: Update scikit-learn requirement
  • Additional commits viewable in compare view


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dependabot[bot] commented 1 year ago

Superseded by #209.