You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Weichen Xu (JIRA)" <ji...@apache.org> on 2016/06/09 05:10:20 UTC

[jira] [Commented] (SPARK-15837) PySpark ML Word2Vec should support maxSentenceLength

    [ https://issues.apache.org/jira/browse/SPARK-15837?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15321899#comment-15321899 ] 

Weichen Xu commented on SPARK-15837:
------------------------------------

I'll work on it and create a PR soon !

> PySpark ML Word2Vec should support maxSentenceLength
> ----------------------------------------------------
>
>                 Key: SPARK-15837
>                 URL: https://issues.apache.org/jira/browse/SPARK-15837
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, PySpark
>            Reporter: Yanbo Liang
>            Priority: Minor
>
> SPARK-15793 adds maxSentenceLength for ML Word2Vec in Scala, we should also add it in Python API.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org