Add warning message with links to the v1 forecasting notebooks #168
Workflow file for this run
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| name: python-sdk-tutorial-auto-ml-forecasting-pipelines | |
| # This file is generated by v1/python-sdk/tutorials/automl-with-azureml/generate_workflows.py | |
| on: | |
| workflow_dispatch: | |
| schedule: | |
| - cron: "0 19 * * 2" | |
| pull_request: | |
| branches: | |
| - main | |
| paths: | |
| - v1/python-sdk/tutorials/automl-with-azureml/forecasting-pipelines/** | |
| - v1/python-sdk/tutorials/automl-with-azureml/automl_env_linux.yml | |
| - .github/workflows/python-sdk-tutorial-auto-ml-forecasting-pipelines.yml | |
| jobs: | |
| build: | |
| runs-on: ${{vars.V1_UBUNTU_RUNNER}} | |
| defaults: | |
| run: | |
| shell: bash -l {0} | |
| strategy: | |
| fail-fast: false | |
| steps: | |
| - name: check out repo | |
| uses: actions/checkout@v2 | |
| - name: setup python | |
| uses: actions/setup-python@v2 | |
| with: | |
| python-version: "3.8" | |
| - name: Run Install packages | |
| run: | | |
| chmod +x ./v1/scripts/install-packages.sh | |
| ./v1/scripts/install-packages.sh | |
| shell: bash | |
| - name: create automl conda environment | |
| uses: conda-incubator/setup-miniconda@v2 | |
| with: | |
| activate-environment: azure_automl | |
| environment-file: v1/python-sdk/tutorials/automl-with-azureml/automl_env_linux.yml | |
| auto-activate-base: false | |
| - name: install papermill and set up the IPython kernel | |
| run: | | |
| pip install papermill==2.4.0 | |
| python -m ipykernel install --user --name azure_automl --display-name "Python (azure_automl)" | |
| pip list | |
| - name: azure login | |
| uses: azure/login@v1 | |
| with: | |
| creds: ${{secrets.AZUREML_CREDENTIALS}} | |
| - name: Run update-azure-extensions | |
| run: | | |
| chmod +x ./v1/scripts/update-azure-extensions.sh | |
| ./v1/scripts/update-azure-extensions.sh | |
| shell: bash | |
| - name: attach to workspace | |
| run: az ml folder attach -w main -g azureml-examples | |
| - name: run auto-ml-forecasting-pipelines.ipynb | |
| run: papermill -k python auto-ml-forecasting-pipelines.ipynb auto-ml-forecasting-pipelines.output.ipynb | |
| working-directory: v1/python-sdk/tutorials/automl-with-azureml/forecasting-pipelines | |
| - name: check notebook output | |
| run: | | |
| python v1/scripts/validation/check_notebook_output.py \ | |
| --file_name auto-ml-forecasting-pipelines.output.ipynb \ | |
| --folder v1/python-sdk/tutorials/automl-with-azureml/forecasting-pipelines \ | |
| --check stderr | |
| - name: upload notebook's working folder as an artifact | |
| if: ${{ always() }} | |
| uses: actions/upload-artifact@v2 | |
| with: | |
| name: auto-ml-forecasting-pipelines | |
| path: v1/python-sdk/tutorials/automl-with-azureml/forecasting-pipelines |