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Published 20 hours ago • verified publisher icon aws

Integrate SageMaker Automatic Model Tuning (HPO) with XGBoost, Linear Learner and Image Classification.

Open cbechir opened this issue 2 years ago • 69 comments

…ear Learner notebooks.

Issue #, if available: This is not in response to an issue.

Description of changes: HPO is increasing its attach to 1P Algorithms. One area of attach that was identified are the 1P Notebooks. This is a follow up PR this one. It follows the same logic to modify additional notebooks.

Testing done: I have tested that the modified notebooks run successfully end-to-end.

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

  • [x] I have read the CONTRIBUTING doc and adhered to the example notebook best practices
  • [x] I have updated any necessary documentation, including READMEs
  • [x] I have tested my notebook(s) and ensured it runs end-to-end
  • [x] I have linted my notebook(s) and code using black-nb -l 100 {path}/{notebook-name}.ipynb

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

cbechir avatar Nov 07 '22 13:11 cbechir

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review-notebook-app[bot] avatar Nov 07 '22 13:11 review-notebook-app[bot]

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sagemaker-bot avatar Nov 08 '22 00:11 sagemaker-bot

Format your notebooks with black-nb -l 100 <NOTEBOOK_PATH> to pass code formatting CI

atqy avatar Nov 08 '22 00:11 atqy