Practical Automated Machine Learning on Azure by Deepak Mukunthu
Author:Deepak Mukunthu
Language: eng
Format: epub
Publisher: O'Reilly Media
Published: 2019-09-26T16:00:00+00:00
Figure 5-9. Azure portal—verifying that the deployment to ACI is complete
Using the Azure portal, you can navigate to the ACI created and click Containers. You will see the two aforementioned containers. Click the container for scoring and then click Logs. You can observe the received input and how it is processed. You can also connect to the container by clicking the Connect tab. For the Start Up Command, choose /bin/bash, and then click Connect.
If you navigate to /var/azureml-app, you will find the files that you have been specified during deployment (e.g., score.py) as well as other supporting files needed for enabling the web service to be instantiated.
Once the deployment from the image is successful, you’ll have a scoring URI you can use to test the deployed model:
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Computer Vision & Pattern Recognition | Expert Systems |
Intelligence & Semantics | Machine Theory |
Natural Language Processing | Neural Networks |
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