choosing a curated env based on compute instance kernel

Ajam, Meraj 40 Reputation points
2025-01-29T19:25:20.2966667+00:00

Hi,

I have created a compute instance using the Python 3.8 - Azure ML kernel for my notebooks in Azure ML Studio. I would like to select a curated environment for training my data (via a job) that matches this kernel. Could you please guide me on how to do this?

Thanks

Azure Machine Learning
Azure Machine Learning
An Azure machine learning service for building and deploying models.
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  1. Pavankumar Purilla 3,080 Reputation points Microsoft Vendor
    2025-01-29T22:12:22.07+00:00

    Hi Ajam, Meraj,
    Greetings & Welcome to Microsoft Q&A forum! Thanks for posting your query!

    To select a curated environment that matches your Python 3.8 - Azure ML kernel, follow these steps:

    • Open your Azure ML Studio workspace.
    • Go to the "Experiments" section and either create a new experiment or select an existing one.
    • Navigate to the "Environments" section and look for curated environments that match your kernel.
    • Azure ML provides several curated environments with pre-installed packages and configurations. For Python 3.8, select an environment like AzureML-sklearn-0.24-ubuntu18.04-py38-cpu or any other that specifies Python 3.8.
    • When setting up your training job, specify the chosen curated environment in the job configuration settings.
    • Submit your job for training once everything is set up.

    Hope this helps. Do let us know if you have any further queries.


    If this answers your query, do click Accept Answer and Yes for was this answer helpful.

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