- Open SageMaker Studio and clone this repository there;
- Run the Jupyter Notebook and wait for the model to be trained and deployed;
- Make Postman or AWS CLI requests with JSON or CSV payload to get instant predictions.
-
Notifications
You must be signed in to change notification settings - Fork 0
danielmarostica/sagemaker-realtime-inference
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Using SageMaker endpoints to make realtime predictions
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published