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Lab/Demo: 11

Fixes # .

Changes proposed in this pull request:
When deploying the model to the endpoint, a Docker build is executed.
However, looking at the conda.yaml file inside the model, the versions of Python, pip, and scikit-learn are outdated.
This causes the Docker build to fail.
Additionally, when deploying,

  • using BatchDeployment, but since it is deprecated, we have replaced it with ModelBatchDeployment.
  • Therefore, I recreated the model using AzureML-sklearn-1.5@latest and replaced it.

- Upgrade Python and package versions
- Modify environment configuration for conda and virtualenv
- Update model signature and requirements
@v-vfarias
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Hello @tottokug, thank you for your contribution! We’re currently testing these changes to ensure they work seamlessly across all labs. Our goal is to implement this improvement broadly, which may take some time. We’ll keep you updated and share progress as soon as we have more details.

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2 participants