Bump kedro-mlflow from 0.11.3 to 0.11.6

[dependabot]

Bumps kedro-mlflow from 0.11.3 to 0.11.6.

Release notes

Sourced from kedro-mlflow's releases.

Release 0.11.6

[0.11.6] - 2023-01-09

Changed

• ✨ kedro-mlflow now uses the default configuration (ignoring mlflow.yml) if an active run already exists in the process where the pipeline is started, and uses this active run for logging. This enables using kedro-mlflow with an orchestrator which starts mlflow itself before running kedro (e.g. airflow, the mlflow run command, AzureML...) (#358)

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Release 0.11.5

[0.11.5] - 2022-12-12

Added

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

Fixed

• 🐛 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

• 🔥 💥 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.

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Release 0.11.4

[0.11.4] - 2022-10-04

Fixed

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

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Changelog

Sourced from kedro-mlflow's changelog.

[0.11.6] - 2023-01-09

Changed

• ✨ kedro-mlflow now uses the default configuration (ignoring mlflow.yml) if an active run already exists in the process where the pipeline is started, and uses this active run for logging. This enables using kedro-mlflow with an orchestrator which starts mlflow itself before running kedro (e.g. airflow, the mlflow run command, AzureML...) (#358)

[0.11.5] - 2022-12-12

Added

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

Fixed

• 🐛 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

• 🔥 💥 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

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

Commits

• e2afa95 🚀 Bump version and CHANGELOG for release 0.11.6 (#389)
• 3fdc5ea ⬆️ Update sphinx requirement
• 645d278 ⬆️ Bump isort from 5.11.1 to 5.11.4
• 503f65c ✨ Use active mlflow run if it was started before the kedro run to en...
• e44fcff 🚀 Bump version and CHANGELOG for release 0.11.5 (#384)
• 289e886 ⬆️ Bump isort from 5.10.1 to 5.11.1
• 9895f2b 👷 Update CI dependencies and change defaults
• 3b71b1a 🔍 Nudge users to star the repo
• e009fee ✏️ Remove duplicated PyPI classifiers entries
• eb15432 🔧 Update isort configuration to most recent style
• Additional commits viewable in compare view

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[dependabot]

Superseded by #109.