damccorm commented on code in PR #26285: URL: https://github.com/apache/beam/pull/26285#discussion_r1167226283
########## website/www/site/content/en/documentation/sdks/python-machine-learning.md: ########## @@ -245,8 +245,7 @@ For detailed instructions explaining how to build and run a Python pipeline that ## Beam Java SDK support -The RunInference API is available with the Beam Java SDK versions 2.41.0 and later through Apache Beam's [Multi-language Pipelines framework](/documentation/programming-guide/#multi-language-pipelines). For information about the Java wrapper transform, see [RunInference.java](https://github.com/apache/beam/blob/master/sdks/java/extensions/python/src/main/java/org/apache/beam/sdk/extensions/python/transforms/RunInference.java). To try it out, see the [Java Sklearn Mnist Classification example](https://github.com/apache/beam/tree/master/examples/multi-language). - +The RunInference API is available with the Beam Java SDK versions 2.41.0 and later through Apache Beam's [Multi-language Pipelines framework](/documentation/programming-guide/#multi-language-pipelines). For information about the Java wrapper transform, see [RunInference.java](https://github.com/apache/beam/blob/master/sdks/java/extensions/python/src/main/java/org/apache/beam/sdk/extensions/python/transforms/RunInference.java). To try it out, see the [Java Sklearn Mnist Classification example](https://github.com/apache/beam/tree/master/examples/multi-language). Additionally, see [Using RunInference from Java SDK](https://beam.apache.org/documentation/ml/multi-language-inference/) for an example that uses a composite Python transform that uses the RunInference API along with preprocessing and postprocessing from a Beam Java SDK pipeline. Review Comment: ```suggestion The RunInference API is available with the Beam Java SDK versions 2.41.0 and later through Apache Beam's [Multi-language Pipelines framework](/documentation/programming-guide/#multi-language-pipelines). For information about the Java wrapper transform, see [RunInference.java](https://github.com/apache/beam/blob/master/sdks/java/extensions/python/src/main/java/org/apache/beam/sdk/extensions/python/transforms/RunInference.java). To try it out, see the [Java Sklearn Mnist Classification example](https://github.com/apache/beam/tree/master/examples/multi-language). Additionally, see [Using RunInference from Java SDK](https://beam.apache.org/documentation/ml/multi-language-inference/) for an example of a composite Python transform that uses the RunInference API along with preprocessing and postprocessing from a Beam Java SDK pipeline. ``` optional nit: I think this reads better because it avoids repeating "that uses" (`X that uses Y that uses Z`) -- 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]
