damccorm opened a new issue, #21435: URL: https://github.com/apache/beam/issues/21435
Users of machine learning frameworks must currently implement their own transforms for running ML inferences. The exception is the TensorFlow [RunInference transform](https://github.com/tensorflow/tfx-bsl/blob/master/tfx_bsl/beam/run_inference.py). However, this is hosted in its own [repo](https://github.com/tensorflow/tfx-bsl), and has an [API](https://www.tensorflow.org/tfx/tfx_bsl/api_docs/python/tfx_bsl/public/beam/RunInference) that is exclusively geared towards the TensorFlow TFX library. Our goal is to add new implementations of RunInference for the two other popular machine learning frameworks: scikit-learn and Pytorch. Please see main design document [here](https://s.apache.org/inference-sklearn-pytorch). Imported from Jira [BEAM-13970](https://issues.apache.org/jira/browse/BEAM-13970). Original Jira may contain additional context. Reported by: yeandy. -- 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]
