You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@beam.apache.org by "Beam JIRA Bot (Jira)" <ji...@apache.org> on 2020/08/01 17:07:05 UTC
[jira] [Commented] (BEAM-9501) [Java] PTransform that integrates
Cloud AI Prediction functionality
[ https://issues.apache.org/jira/browse/BEAM-9501?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17169338#comment-17169338 ]
Beam JIRA Bot commented on BEAM-9501:
-------------------------------------
This issue is P2 but has been unassigned without any comment for 60 days so it has been labeled "stale-P2". If this issue is still affecting you, we care! Please comment and remove the label. Otherwise, in 14 days the issue will be moved to P3.
Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed explanation of what these priorities mean.
> [Java] PTransform that integrates Cloud AI Prediction functionality
> -------------------------------------------------------------------
>
> Key: BEAM-9501
> URL: https://issues.apache.org/jira/browse/BEAM-9501
> Project: Beam
> Issue Type: Sub-task
> Components: io-java-gcp
> Reporter: Kamil Wasilewski
> Priority: P2
> Labels: stale-P2
>
> 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/]
> [2] [https://github.com/tensorflow/tfx-bsl/blob/ecec31b2152fc73f4c26f5a5db86173cfcf25c99/tfx_bsl/beam/run_inference.py#L99]
>
--
This message was sent by Atlassian Jira
(v8.3.4#803005)