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You're reading from  Machine Learning Engineering on AWS

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Published inOct 2022
PublisherPackt
ISBN-139781803247595
Edition1st Edition
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Joshua Arvin Lat
Joshua Arvin Lat
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Joshua Arvin Lat

Joshua Arvin Lat is the Chief Technology Officer (CTO) of NuWorks Interactive Labs, Inc. He previously served as the CTO for three Australian-owned companies and as director of software development and engineering for multiple e-commerce start-ups in the past. Years ago, he and his team won first place in a global cybersecurity competition with their published research paper. He is also an AWS Machine Learning Hero and has shared his knowledge at several international conferences, discussing practical strategies on machine learning, engineering, security, and management.
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Testing our ML inference endpoint

Of course, we need to check whether the ML inference endpoint is working! In the next set of steps, we will download and run a Jupyter notebook (named Test Endpoint and then Delete.ipynb) that tests our ML inference endpoint using the test dataset:

  1. Let’s begin by opening the following link in another browser tab: https://bit.ly/3xyVAXz
  2. Right-click on any part of the page to open a context menu, and then choose Save as... from the list of available options. Save the file as Test Endpoint then Delete.ipynb, and then download it to the Downloads folder (or similar) on your local machine.
  3. Navigate back to your SageMaker Studio environment. In the File Tree (located on the left-hand side of the SageMaker Studio environment), make sure that you are in the CH11 folder similar to what we have in Figure 11.15:

Figure 11.15 – Uploading the test endpoint and then the Delete.ipynb file

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Machine Learning Engineering on AWS
Published in: Oct 2022Publisher: PacktISBN-13: 9781803247595

Author (1)

author image
Joshua Arvin Lat

Joshua Arvin Lat is the Chief Technology Officer (CTO) of NuWorks Interactive Labs, Inc. He previously served as the CTO for three Australian-owned companies and as director of software development and engineering for multiple e-commerce start-ups in the past. Years ago, he and his team won first place in a global cybersecurity competition with their published research paper. He is also an AWS Machine Learning Hero and has shared his knowledge at several international conferences, discussing practical strategies on machine learning, engineering, security, and management.
Read more about Joshua Arvin Lat