Release 1.0.0

[1.0.0] - 2025-07-27

Added

• ✨ Add support for kedro>=1.0.0 (#658)

Changed

• 💥 📌 Drop support for kedro==0.19.X (#658)

�

Release 0.14.5

[0.14.5] - 2025-07-27

Added

• 📝 Document how to make partitioned datasets log only outputs of the current run (#652)

Changed

• 🔇 Update thread-safe related logs to DEBUG level to reduce logging (#650)

Fixed

• 🐛 Fix KedroPipelineModel.load_context loading from local files with uri filepath for mlflow>=2.21,<3 #656

�

Release 0.14.4

[0.14.4] - 2025-02-20

Added

• ✨ Add the tracking.disable_tracking.disable_autologging configuration option in mlflow.yml to disable autologging by default. This simplify the workflow for Databricks users who have autologging activated by default, which conflicts with kedro-mlflow ([#610]).
• ✨ Add tracking.experiment.create_experiment_kwargs.artifact_location and tracking.experiment.create_experiment_kwargs.tags configuration options in mlflow.yml to enable advanced configuration of mlflow experiment created at runtime by kedro-mlflow ([#557]).

Fixed

• 🐛 Fix type annotations introduced in #633 which are not compatible with python==3.9.

�

Release 0.14.3

[0.14.3] - 2025-02-17

Added

• ✨ All datasets can now take a metadata parameter (#625, #633)

Fixed

• 🐛 Reopen the mlflow run before each node to bypass mlflow thread safety and ensure all tracking is done within the same run_id (#623, #624)

�

Release 0.14.2

[0.14.2] - 2025-02-16

Fixed

• 🐛 👷 Ensure mlflow.yml is package with the package distribution so that kedro mlflow init can find it ([#635]).

�

Release 0.14.1

[0.14.1] - 2025-02-12

Changed

• 📝 Change documentation theme to the pydata sphinx theme, and refactor sections to make them clearer (#621)

Fixed

• 🐛 Fix a regression introduced by 0.13.4 and enable again to load an artifact from a different run_id (#622).

�

Release 0.14.0

[0.14.0] - 2025-01-28

Added

• ✨ Enable to override parameters and the runner at predict time in KedroPipelineModel (#445, #612)

Changed

• 💥 📌 Pin mlflow>=2.7.0 to support predict parameters for custom models (see above feature)

�

Release 0.13.4

[0.13.4] - 2024-12-14

Fixed

• 🐛 🚑 Ensure MlflowArtifactDataset logs in the same run that parameters to when using mlflow>=2.18 in combination with ThreadRunner #613)

�

Release 0.13.3

[0.13.3] - 2024-10-29

Added

• ✨ Implement missing PipelineML filtering functionalities to let kedro display resume hints and avoid breaking kedro-viz (#377, #601, Calychas)
• ✨ Sanitize parameters name with unsupported characters to avoid mlflow errors when logging (#595, pascalwhoop)
• 🔊 Add logs about the exact run_id loaded within a MlflowRegistryDataset because some URI are confusing (e.g. latest) and hard to debug (#552)

Changed

• 📌 ✨ Removed lower and upper bounds for python versions of to be constantly in sync with kedro and make migrations faster (#603)
• ➕ ➖ Removed pytest-lazy-fixture in favor of pytest-lazy-fixtures which has less reputation but is more up to date. The former has not been updated in two years and is not compatible with recent pytest. (#524, #604)

�

Release 0.13.2

[0.13.2] - 2024-10-15

Fixed

🐛 🚑 Fix MlflowArtifactDataset load and save methods to make them compatible with modern datasets without private _load and _save introduced in kedro-datasets>=5.0.0 (#598)

�