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Azure ML Studio部署Web Service无定价计划选项问题排查

Troubleshooting Missing Pricing Plan Options When Deploying Azure ML Studio Web Service

Hey there, let's walk through the possible reasons why you're not seeing the Price Plan dropdown and Plan Name input when deploying your predictive experiment as a web service, plus how to fix them:

  • Your predictive experiment isn't properly set up for web service deployment
    Before deploying, you need to ensure your predictive experiment has the required Web Service Input and Web Service Output modules correctly connected to your model pipeline. Sometimes when converting a training experiment to a predictive one, these modules don't get added automatically, or the connections are missing. Double-check that these modules are in place and linked to the right parts of your experiment (like your input data source and the model's output port). Without this setup, the deployment flow might skip the pricing plan configuration step entirely.

  • Your predictive experiment didn't finish running successfully
    The Deploy Web Service option depends on a completed, successful run of your predictive experiment. If the run failed (check the top-right corner for a "Failed" status) or is still in progress, clicking deploy might redirect you to a simplified page without the pricing options. Go back, re-run your experiment, and wait until it shows "Completed" before trying to deploy again.

  • Subscription permissions or resource limitations
    It's possible your Azure subscription has restrictions that block access to multiple pricing plans. For example, if you're using a free trial subscription, you might only have access to the basic plan, so the dropdown won't appear. Additionally, check if your account has the necessary permissions to create web service plans (like Contributor access to the ML workspace). You can verify this by logging into the Azure Portal and checking the workspace's access control settings.

  • Interface vs. tutorial version discrepancies
    Microsoft's documentation sometimes lags behind UI updates in Azure ML Studio (Classic). The pricing plan configuration might have moved to a post-deployment step. If you successfully deploy the web service without seeing the options, navigate to the web service's management page, look for the Configure tab, and you should be able to adjust the pricing plan there.

Quick Check Steps to Try First

  1. Verify Web Service Input and Web Service Output modules are correctly added and connected in your predictive experiment.
  2. Re-run the experiment and confirm it completes successfully.
  3. After the run finishes, click Deploy Web Service again and scroll through the entire page—sometimes the pricing options are tucked at the bottom.

内容的提问来源于stack exchange,提问作者nam

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最近更新时间:2026.05.27 09:40:50