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Prepare release 0.73.0 (#3300)
* Adding the new version to the necessary files. * added release notes * spellchecker PR names --------- Co-authored-by: ZenML GmbH <[email protected]> Co-authored-by: Baris Can Durak <[email protected]>
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README.md

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<a href="https://github.com/zenml-io/zenml-projects">Projects Showcase</a>
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<br />
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<br />
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🎉 Version 0.72.0 is out. Check out the release notes
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🎉 Version 0.73.0 is out. Check out the release notes
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<a href="https://github.com/zenml-io/zenml/releases">here</a>.
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<br />
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🖥️ Download our VS Code Extension <a href="https://marketplace.visualstudio.com/items?itemName=ZenML.zenml-vscode">here</a>.

RELEASE_NOTES.md

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<!-- markdown-link-check-disable -->
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# 0.73.0
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The `0.73.0` release contains various changes and improvements, but most
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importantly it introduces the support to deploy and enroll un-managed ZenML Pro
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tenants in the ZenML Pro control plane (Helm deployment options, secure
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enrollment, CSRF tokens) and other features necessary for self-hosted,
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multi-domain ZenML Pro installations.
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## Other Features
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- Vertex AI experiment tracker integration
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- Experiment comparison tooling
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- Support for new Airflow KubernetesPodOperator import paths
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- Updated Slack alerter implementation
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- Independent memory resource configuration for migration pods in Helm charts
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## Improvements
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- Added environment variable to allow non-ASCII characters in JSON dumps
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- Removed gluon from MLflow log suppression list
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- Enhanced resource reporting with automatic conversion
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- Documentation updates for Kubeflow Pipelines and LLMs
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- Various bugfixes for the ZenML dashboard
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## What's Changed
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* On-prem Pro tenants: secure enrollment, CSRF tokens and cross-domain authorization flow by @stefannica in https://github.com/zenml-io/zenml/pull/3264
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* Fix the misc release actions by @schustmi in https://github.com/zenml-io/zenml/pull/3286
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* Add 0.72.0 to the migration tests by @schustmi in https://github.com/zenml-io/zenml/pull/3285
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* Fix links to Kubeflow Pipelines docs in `kubeflow.md` by @matemijolovic in https://github.com/zenml-io/zenml/pull/3289
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* Add experiment comparison tool docs by @strickvl in https://github.com/zenml-io/zenml/pull/3287
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* Fix broken links by @strickvl in https://github.com/zenml-io/zenml/pull/3291
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* Add support for new Airflow KubernetesPodOperator import by @schustmi in https://github.com/zenml-io/zenml/pull/3295
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* Updated Slack Alerter by @bcdurak in https://github.com/zenml-io/zenml/pull/3282
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* Allow non ASCII in JSON dump with env var by @Frank995 in https://github.com/zenml-io/zenml/pull/3257
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* Remove gluon from mlflow log suppression list by @htahir1 in https://github.com/zenml-io/zenml/pull/3298
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* Convert reportable resources if necessary by @schustmi in https://github.com/zenml-io/zenml/pull/3296
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* Vertex AI Experiment Tracker Integration by @nkhusainov in https://github.com/zenml-io/zenml/pull/3260
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* Document on-prem ZenML Pro deployments by @stefannica in https://github.com/zenml-io/zenml/pull/3294
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* generate llms.txt for our docs by @wjayesh in https://github.com/zenml-io/zenml/pull/3273
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* [helm] Independent setting of memory resources for migration pods by @wjayesh in https://github.com/zenml-io/zenml/pull/3281
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## New Contributors
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* @matemijolovic made their first contribution in https://github.com/zenml-io/zenml/pull/3289
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* @Frank995 made their first contribution in https://github.com/zenml-io/zenml/pull/3257
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* @nkhusainov made their first contribution in https://github.com/zenml-io/zenml/pull/3260
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**Full Changelog**: https://github.com/zenml-io/zenml/compare/0.72.0...0.73.0
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# 0.72.0
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The `0.72.0` release contains various bug fixes, performance improvements and improvements to our documentation.

examples/quickstart/configs/training_aws.yaml

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# Environment configuration
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settings:
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docker:
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parent_image: "715803424590.dkr.ecr.eu-central-1.amazonaws.com/zenml-public-pipelines:quickstart-0.72.0-py3.11-aws"
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parent_image: "715803424590.dkr.ecr.eu-central-1.amazonaws.com/zenml-public-pipelines:quickstart-0.73.0-py3.11-aws"
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skip_build: True # If you switch this to False remove the parent_image
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requirements: requirements.txt
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environment:

examples/quickstart/configs/training_azure.yaml

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# Environment configuration
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settings:
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docker:
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parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.72.0-py3.11-azure"
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parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.73.0-py3.11-azure"
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skip_build: True
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requirements: requirements.txt
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environment:

examples/quickstart/configs/training_gcp.yaml

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# Environment configuration
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settings:
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docker:
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parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.72.0-py3.11-gcp"
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parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.73.0-py3.11-gcp"
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skip_build: True
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requirements: requirements.txt
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environment:

examples/quickstart/quickstart.ipynb

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"# Common imports and setup\n",
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"if CLOUD_PROVIDER.lower() == \"gcp\":\n",
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" parent_image = (\n",
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" \"zenmldocker/zenml-public-pipelines:quickstart-0.72.0-py3.11-gcp\"\n",
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" \"zenmldocker/zenml-public-pipelines:quickstart-0.73.0-py3.11-gcp\"\n",
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" )\n",
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" skip_build = True\n",
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" SagemakerOrchestratorSettings,\n",
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" parent_image = \"339712793861.dkr.ecr.eu-central-1.amazonaws.com/zenml-public-pipelines:quickstart-0.72.0-py3.11-aws\"\n",
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" parent_image = \"339712793861.dkr.ecr.eu-central-1.amazonaws.com/zenml-public-pipelines:quickstart-0.73.0-py3.11-aws\"\n",
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" skip_build = True # if you switch this to False, you need to remove the parent image\n",
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"\n",
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" settings[\"orchestrator.sagemaker\"] = SagemakerOrchestratorSettings(\n",
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"elif CLOUD_PROVIDER.lower() == \"azure\":\n",
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" \"zenmldocker/zenml-public-pipelines:quickstart-0.72.0-py3.11-azure\"\n",
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" \"zenmldocker/zenml-public-pipelines:quickstart-0.73.0-py3.11-azure\"\n",
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" skip_build = True\n",
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examples/quickstart/requirements.txt

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zenml[server]==0.72.0
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zenml[server]==0.73.0
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notebook
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pyarrow
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datasets

examples/quickstart/requirements_aws.txt

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zenml[server]==0.72.0
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zenml[server]==0.73.0
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notebook
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pyarrow
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datasets

examples/quickstart/requirements_azure.txt

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zenml[server]==0.72.0
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zenml[server]==0.73.0
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notebook
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pyarrow
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datasets

examples/quickstart/requirements_gcp.txt

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zenml[server]==0.72.0
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zenml[server]==0.73.0
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notebook
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pyarrow
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datasets

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