Release 0.8.0

[0.8.0] - 2024-05-09

• Added support for python 3.11 by @em-pe
• Added support for pydantic v2 and bumped minimal required pydantic version to 2.6.4 by @froessler
• Added support for metadata argument in Azure ML datasets by @tomasvanpottelbergh
• Fixed azureml-fsspec version update changed return type of _infer_storage_options and pinned fsspec version to patch only @froessler

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Release 0.7.0

[0.7.0] - 2023-11-15

• [💔 Breaking change] Renamed all *DataSet classes to *Dataset to follow Kedro's naming convention which will be introduced in 0.19.

• Upgraded minimal requirements for MLflow to >=2.0.0,<3.0.0 to be compatible with azureml-mlflow

• Added --on-job-scheduled argument to kedro azureml run to plug-in custom behaviour after Azure ML job is scheduled @Gabriel2409

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Release 0.6.0

[0.6.0] - 2023-09-01

• Added ability to mark a node as deterministic (enables caching on Azure ML) by @tomasvanpottelbergh
• Explicitly disabled support for AzureMLAssetDataSet outputs of uri_file type by @tomasvanpottelbergh
• Made AzureMLAssetDataSet local and downloadable by default allowing their use in kedro sessions outside of pipeline runs e.g. kedro ipython/jupyterlab by @froessler
• Fixed FileNotFoundError for local runs (using kedro run) when using AzureMLAssetDataSet of type uri_file by @Gabriel2409
• [❗️ Old datasets removal ] All datasets based on Azure ML SDK v1 (azureml-core) are removed, with only importable stubs left which raise a deprecation warning.
• ARM macOS support should work again 🎉 (v1 SDKs are removed)

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Release 0.5.0

[0.5.0] - 2023-08-11

• [🚀 New dataset] Added support for AzureMLAssetDataSet based on Azure ML SDK v2 (fsspec) by @tomasvanpottelbergh & @froessler
• [📝 Docs] Updated datasets docs with sections
• Bumped minimal required Kedro version to `0.18.11
• [⚠️ Deprecation warning] - starting from 0.4.0 the plugin is not compatible with ARM macOS versions due to internal azure dependencies (v1 SDKs). V1 SDK-based datasets will be removed in the future

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Release 0.4.1

[0.4.1] - 2023-05-04

• [📝 Docs] Revamp the quickstart guide in documentation
• Refactor kedro azureml init command to be more user-friendly
• Add dependency on kedro-datasets to prepare for Kedro 0.19.0; Remove kedro.datasets.* imports

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Release 0.4.0

[0.4.0] - 2023-04-28

• [🧑‍🔬 Experimental ] Added support for pipeline-native data passing (allows to preview intermediate data in AzureML Studio UI) by @tomasvanpottelbergh
• New AzureMLFileDataSet and AzureMLPandasDataSetby @asafalinadsg & @eliorc
• E2E tests for AzureMLPandasDataSet dataset
• Bumped minimal required Kedro version to 0.18.5
• Added support for OmegaConfigLoader

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Release 0.3.6

[0.3.6] - 2023-03-08

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Release 0.3.5

[0.3.5] - 2023-02-20

• Ability to pass extra environment variables to the Kedro nodes using --env-var option
• Default configuration for docker-flow adjusted for the latest kedro-docker plugin
• Fix authorization issues on AzureML Compute Instance (#47) by @j0rd1smit

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Release 0.3.4

[0.3.4] - 2022-12-30

• Add lazy initialization and cache to Kedro's context in the KedroContextManager class to prevent re-loading

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Release 0.3.3

[0.3.3] - 2022-12-08

• Upgrade azure-ai-ml to >=1.2.0 to adress code upload file ignore issues (see Azure/azure-sdk-for-python#27338 (comment) and #33).

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