[
https://issues.apache.org/jira/browse/BEAM-9421?focusedWorklogId=438777&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-438777
]
ASF GitHub Bot logged work on BEAM-9421:
----------------------------------------
Author: ASF GitHub Bot
Created on: 29/May/20 15:32
Start Date: 29/May/20 15:32
Worklog Time Spent: 10m
Work Description: lakshmanok commented on pull request #11776:
URL: https://github.com/apache/beam/pull/11776#issuecomment-636037842
Kamil, Yes, exactly.
On Fri, May 29, 2020, 3:53 AM Kamil Wasilewski <[email protected]>
wrote:
> @lakshmanok <https://github.com/lakshmanok> Do you mean the response
> object returned from the API? If so, tt would look like this:
>
> sentences {
> text {
> content: "My experience so far has been fantastic!"
> }
> sentiment {
> magnitude: 0.8999999761581421
> score: 0.8999999761581421
> }
> }
> sentences {
> text {
> content: "I\'d really recommend this product."
> begin_offset: 41
> }
> sentiment {
> magnitude: 0.8999999761581421
> score: 0.8999999761581421
> }
> }
>
> ...many lines omitted
>
> document_sentiment {
> magnitude: 1.899999976158142
> score: 0.8999999761581421
> }
>
> —
> You are receiving this because you were mentioned.
> Reply to this email directly, view it on GitHub
> <https://github.com/apache/beam/pull/11776#issuecomment-635908932>, or
> unsubscribe
>
<https://github.com/notifications/unsubscribe-auth/AANJPZ667ZJNZM5L3XWECE3RT6H37ANCNFSM4NG4NBCQ>
> .
>
----------------------------------------------------------------
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.
For queries about this service, please contact Infrastructure at:
[email protected]
Issue Time Tracking
-------------------
Worklog Id: (was: 438777)
Time Spent: 14h 10m (was: 14h)
> AI Platform pipeline patterns
> -----------------------------
>
> Key: BEAM-9421
> URL: https://issues.apache.org/jira/browse/BEAM-9421
> Project: Beam
> Issue Type: Sub-task
> Components: website
> Reporter: Kamil Wasilewski
> Assignee: Kamil Wasilewski
> Priority: P2
> Labels: pipeline-patterns
> Time Spent: 14h 10m
> Remaining Estimate: 0h
>
> New pipeline patterns should be contributed to the Beam's website in order to
> demonstrate how newly implemented Google Cloud AI PTransforms can be used in
> pipelines.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)