Closed shchur closed 2 months ago
Check out this pull request on
See visual diffs & provide feedback on Jupyter Notebooks.
Powered by ReviewNB
Powered by github-codebuild-logs, available on the AWS Serverless Application Repository
Powered by github-codebuild-logs, available on the AWS Serverless Application Repository
Powered by github-codebuild-logs, available on the AWS Serverless Application Repository
Issue #, if available:
Description of changes: Add a notebook demonstrating how to deploy pretrained time series forecasting models available on SageMaker JumpStart. Time series forecasting is a new problem type added to JumpStart, currently supported by Chronos pretrained models.
Testing done: I verified that the notebook can be executed without errors.
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.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.