aws / aws/aws-step-functions-data-science-sdk-python
feature: adding support for AsyncInferenceConfig in endpoint config
- Dominant language
- Python
- Stars
- 299
- Forks
- 84
- PR merge metrics
- No merged PRs in 30d
Description
The EndpointConfig constructor could be extended to support passing in AsyncInferenceConfig
which includes configuration as shown here in the doc [API_AsyncInferenceConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AsyncInferenceConfig.html)
In this way would be possible to create an EndpountConfig supporting [Asynchronous Inference](https://docs.aws.amazon.com/sagemaker/latest/dg/async-inference.html).
Contributor guide
Research direction
Start at the EndpointConfig constructor and compare its current configuration inputs with the AWS API_AsyncInferenceConfig documentation linked in the issue. Trace how endpoint configuration is represented and verify that the resulting configuration supports the asynchronous inference settings described by AWS; done means users can create an EndpointConfig with AsyncInferenceConfig.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, python
- Domain
- cloud, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100