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CHANGELOG.md

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Changelog

Unreleased

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

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

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)

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

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

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

0.3.6 - 2023-03-08

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

0.3.4 - 2022-12-30

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

0.3.3 - 2022-12-08

0.3.2 - 2022-12-02

  • Add a control gate for Kedro environments before starting the pipeline in Azure ML (#33)

0.3.1 - 2022-11-18

  • Fix default configuration, to make code upload as default
  • Improved documentation and quickstart related to the code upload feature

0.3.0 - 2022-11-16

  • Added support for execution via code upload for faster development cycles #15
  • Quickstart documentation improvements

0.2.2 - 2022-10-26

  • Added sychronization of automatic datasets for distributed training use case

[0.2.1] - 2022-10-24

Added

  • Ability to overwrite the compute target at a Node level using a Node tag that references a compute alias defined in the compute section of azureml.yaml.
  • Improvements in build process, synchronised with getindata python-opensource-template
  • Add support for distributed training in PyTorch, TensorFlow and MPI via native Azure ML integration

0.1.0 - 2022-07-28

  • Initial plugin release