[
https://issues.apache.org/jira/browse/BEAM-13970?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17520005#comment-17520005
]
Beam JIRA Bot commented on BEAM-13970:
--------------------------------------
This issue was marked "stale-assigned" and has not received a public comment in
7 days. It is now automatically unassigned. If you are still working on it, you
can assign it to yourself again. Please also give an update about the status of
the work.
> RunInference V1
> ---------------
>
> Key: BEAM-13970
> URL: https://issues.apache.org/jira/browse/BEAM-13970
> Project: Beam
> Issue Type: New Feature
> Components: sdk-py-core
> Reporter: Andy Ye
> Priority: P2
> Labels: run-inference
>
> 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].
--
This message was sent by Atlassian Jira
(v8.20.1#820001)
