Release 0.4.1

[0.4.1] - 2021-08-18

• Passing Kedro environment and pipeline name in Vertex nodes
• Setting artifact type based on catalog layer in Vertex pipeline
• Added pipeline param to schedule in Vertex

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Release 0.4.0

[0.4.0] - 2021-08-11

• Support for kedro-mlflow>=0.7
• Support of Google Vertex AI Pipelines (EXPERIMENTAL)
• Ability to access KFP API behind Dex+authservice authentication
• Support for multi-user KFP setup (experiment namespace passed via run-once or schedule)
• New config param: max_cache_staleness to avoid caching KFP steps if required

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Release 0.3.1

[0.3.1] - 2021-05-25

Fixed

• Prevent KeyError when catalog had entries without filepath.

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Release 0.3.0

[0.3.0] - 2021-01-29

Added

• Support to inject Kedro pipeline parameters for the run
• Ability to specify resources allocation for the nodes
• Possibility to configure the pipeline description in the config file
• The registered output artifacts are not exposed in the Pipelines UI
• Ability to set ttl of the workflow (how long the pods and volumes stay in the system after finish)
• Removing the inter-steps data volume during workflow removal (with option to disable the removal in the config using flag keep)

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Release 0.2.0

[0.2.0] - 2021-01-18

Added

• Ability to change the effective user id for steps if the ownership of the volume needs it
• Hook that enables TemplatedConfigLoader that supports dynamic config files. Any env variable
  named KEDRO_CONFIG_<NAME> can be referenced in configuration files as ${name}
• Added IAP authentication support for MLflow
• Increased test coverage for the CLI
• Creating github actions template with kedro kubeflow init --with-github-actions

Fixed

• Fixed broken kubeflow init command (#29)

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Release 0.1.10

[0.1.10] - 2021-01-11

Added

• Added sample support for TemplatedConfigLoader
• MLFlow support updated to not use nested runs.
• Simple configuration validation added.
• Volume init step is now optional (useful, if there is raw data in the image)

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Release 0.1.9

[0.1.9] - 2021-01-08

• Support for MLFlow - if the package is installed then additional step is added with parent run init. Then all separate nodes runs register under this run.
• Support for inter-steps volume: setup (one volume per pipeline run), initial load (the content of data/ directory from the image and mount to all the steps for artifacts passing.
• kubeflow init command added to generate sample configuration file.

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Release 0.1.8

[0.1.8] - 2021-01-05

Added

• Initial release of kedro-kubeflow plugin
• Ability to run an anonymous pipeline once as within a specified experiment kedro kubeflow run-once.
• Ability to upload pipeline kedro kubeflow upload.
• Method to schedule runs for most recent version of given pipeline kedro kubeflow schedule
• Shortcut to open UI for pipelines using kedro kubeflow ui

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