damccorm opened a new issue, #20001: URL: https://github.com/apache/beam/issues/20001
The goal is to create a PTransform that integrates Google Cloud AI Platform Prediction functionality [1] for Java SDK. The transform should work both in batch and streaming mode. One possible solution is to utilize a `tfx_bsl` library [2] which offers a `RunInference` Beam's PTransform[2] able to get predictions from Google Cloud AI Platform Prediction via cross-language. [1] [https://cloud.google.com/ai-platform/prediction/docs/](https://cloud.google.com/ai-platform/prediction/docs/) [2] [https://github.com/tensorflow/tfx-bsl/blob/ecec31b2152fc73f4c26f5a5db86173cfcf25c99/tfx_bsl/beam/run_inference.py#L99](https://github.com/tensorflow/tfx-bsl/blob/ecec31b2152fc73f4c26f5a5db86173cfcf25c99/tfx_bsl/beam/run_inference.py#L99) Imported from Jira [BEAM-9501](https://issues.apache.org/jira/browse/BEAM-9501). Original Jira may contain additional context. Reported by: kamilwu. Subtask of issue #20000 -- 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]
