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)

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Release 0.13.1

[0.13.1] - 2024-09-24

Added

• ✨ Add support for "modern" datasets (introduced in Kedro 0.19.7) that expose load and save publicly (#590, deepyaman)

Fixed

• 🐛 Refactor MlflowMetricsHistoryDataset to avoid using get_all_metrics internally because this function cannot save metrics on a remote server (#582)

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Release 0.13.0

[0.13.0] - 2024-09-01

Added

• ✨ Add support for loading model with alias in MlflowModelRegistryDataset #553

Changed

• 💥 📌 Officially drop support for mlflow<1.29.0 which was implicit since the introduction of km.random_name resolver in #481 (#571)

• 📝 🔊 Various improvements to documentation and logging (#549, #554, #567)

Fixed

• 🐛 Implement only_nodes_with_namespace and __sub__ methods in PipelineML for kedro-viz>=9.2.0 compatibility (#569)

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Release 0.12.2

[0.12.2] - 2024-04-18

Added

• 👷 📦 Add build distribution (instead of source only distribution) to PyPI release to make install easier and faster (#515)
• 📝 Document the ability to update configuration at runtime (#395)

Changed

• ✨ Project level CLI commands kedro mlflow init, kedro mlflow ui and kedro mlflow modelify now work even inside a subdirectory and not at the root of the kedro project to be consistent with kedro>0.19.4 (#531)

Fixed

• 🐛 Proxy import of private kedro functions _is_project and _find_kedro_project to be resilient to changes (#531)

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Release 0.12.1

[0.12.1] - 2024-02-09

Added

• ✨ Add a km.random_name resolver which enables to use auto-generated names for kedro runs instead of pipeline name in the mlflow.yml configuration file (#426)

Fixed

• 🐛 Add support for dataset factories in KedroPipelineModel (#516, sebastiandro)

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Release 0.12.0

[0.12.0] - 2023-12-19

Added

• ✨ Add support for python 3.11 (#450, rxm7706)
• ✨ ⬆️ Add support for pydantic v2 (#476)
• ✨ ⬆️ Add support for kedro==0.19.X (#)

Changed

• 💥 :⬆️: Drop support for kedro==0.18.X series.
• 💥 ✨ Change default copy_mode to "assign" in KedroPipelineModel because this is the most efficient setup (and usually the desired one) when serving a Kedro Pipeline as a Mlflow model. This is different from Kedro's default which is to deepcopy the dataset (#463).
• 💥 ♻️ MlflowArtifactDataset.__init__ method data_set argument is renamed dataset to match new Kedro conventions (#391).
• 💥 ♻️ Rename the following DataSets with the Dataset suffix (without capitalized S) to match new kedro conventions from kedro>=0.19 and onwards (#439, ShubhamZoro):
  • MlflowArtifactDataSet->MlflowArtifactDataset
  • MlflowAbstractModelDataSet->MlflowAbstractModelDataset
  • MlflowModelRegistryDataSet->MlflowModelRegistryDataset
  • MlflowMetricDataSet->MlflowMetricDataset
  • MlflowMetricHistoryDataSet->MlflowMetricHistoryDataset
• 💥 ♻️ Rename the following DataSets to make their use more explicit, and use the Dataset suffix:
  • MlflowModelLoggerDataSet->MlflowModelTrackingDataset (#391)
  • MlflowModelSaverDataSet->MlflowModelLocalFileSystemDataset (#391)
  • MlflowMetricsDataSet->MlflowMetricsHistoryDataset (#440)

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Release 0.11.10

[0.11.10] - 2023-10-03

Fixed

• 🐛 Avoid error when using kedro==0.18.1 with TemplatedConfigLoader and no mlflow.yml configuration file (#452)

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Release 0.11.9

[0.11.9] - 2023-07-23

Fixed

• 🐛 Make kedro-mlflow hook log parameters when the project is configured with the OmegaConfigLoader instead of raising an error (#430)

Removed

• ➖ Drop support for python=3.7 which has reached end-of-life status to prepare 0.19 (#391)

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Release 0.11.8

[0.11.8] - 2023-02-13

Added

• ✨ Added support for Mlflow 2.0 (#390)

• ✨ The modelify command now accepts a --run-name to specifiy the run name where the model is logged (#408)

Fixed

• 📝 Update incorrect documentation about model registry with local relative filepath (#400)

• 🐛 The modelify command now creates a conda environment based on your environment python and kedro versions instead of hardcoded python=3.7 and kedro=0.16.5 (#405)

• 🐛 The modelify command now uses correctly the --pip-requirements argument instead of raising an error (#405)

• 🐛 The modelify command now uses modelify as a default run name (#408)

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Release 0.11.7

[0.11.7] - 2023-01-28

Added

• ✨ Added a MlflowModelRegistryDataSet in kedro_mlflow.io.models to enable fetching a mlflow model from the mlflow model registry by its name(#260)

Fixed

• 🐛 Use __default__ as a run name if the pipeline is not specified in the kedro run commmand to avoid empty names (#392)

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