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

Posted to issues@spark.apache.org by "holdenk (JIRA)" <ji...@apache.org> on 2018/03/16 18:45:00 UTC

[jira] [Resolved] (SPARK-15009) PySpark CountVectorizerModel should be able to construct from vocabulary list

     [ https://issues.apache.org/jira/browse/SPARK-15009?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

holdenk resolved SPARK-15009.
-----------------------------
          Resolution: Fixed
       Fix Version/s: 2.4.0
    Target Version/s: 2.4.0

Thanks for fixing this Bryan!

> PySpark CountVectorizerModel should be able to construct from vocabulary list
> -----------------------------------------------------------------------------
>
>                 Key: SPARK-15009
>                 URL: https://issues.apache.org/jira/browse/SPARK-15009
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, PySpark
>            Reporter: Bryan Cutler
>            Assignee: Bryan Cutler
>            Priority: Minor
>             Fix For: 2.4.0
>
>
> Like the Scala version, PySpark CountVectorizerModel should be able to construct the model from given a vocabulary list.
> For example
> {noformat}
> cvm = CountVectorizerModel(["a", "b", "c"])
> {noformat}



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

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