AnandInguva opened a new issue, #26640: URL: https://github.com/apache/beam/issues/26640
### What would you like to happen? We aim to create an easy-to-use `PTransform` in Apache Beam, called MLTransform, for carrying out common machine learning transforms on large datasets. MLTransform is designed to be framework-agnostic, and its primary goal is to provide an intuitive interface for users to perform various data processing transformations without writing complex code or dealing with underlying libraries. The first framework that we will make use of is TensorFlow Transform (TFT) which has many production hardened transformations already written using the Apache Beam primitives. Design doc: https://docs.google.com/document/d/1rQkSm_8tseLqDQaLohtlCGqt5pvMaP0XIpPi5UD0LCQ/edit# dev list discussion: https://lists.apache.org/thread/d4thp7xs1y0jm5m9v5xzshln9fwvsm7s ### Issue Priority Priority: 2 (default / most feature requests should be filed as P2) ### Issue Components - [X] Component: Python SDK - [ ] Component: Java SDK - [ ] Component: Go SDK - [ ] Component: Typescript SDK - [ ] Component: IO connector - [ ] Component: Beam examples - [ ] Component: Beam playground - [ ] Component: Beam katas - [ ] Component: Website - [ ] Component: Spark Runner - [ ] Component: Flink Runner - [ ] Component: Samza Runner - [ ] Component: Twister2 Runner - [ ] Component: Hazelcast Jet Runner - [ ] Component: Google Cloud Dataflow Runner -- 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]
