yeandy opened a new issue, #21721: URL: https://github.com/apache/beam/issues/21721
### What needs to happen? Right now, the name for namespaces in RunInference is hardcoded to `RunInference` for base.py and `sklearn_inference.py` and `RunInferencePytorch` for `pytorch_inference.py` in the `get_metrics_namespace` function. However, users may want more control over how the namespaces. For example, one could have two classification models that use the same model loader, and want different namespaces to distinguish between the two. This would also help with metrics tracking in our community dashboard. With the old solution, there isn't a way to do this. If we can allow passing in a parameter like `metrics_namespace` into the RunInference transform, then users would be able to set their own namespace. example: RunInference(model_loader, metrics_namespace=”my_custom_namespace”) ### Issue Priority Priority: 2 ### Issue Component Component: sdk-py-core -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
