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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/06/16 23:55:00 UTC

[jira] [Commented] (SPARK-7667) MLlib Python API consistency check

    [ https://issues.apache.org/jira/browse/SPARK-7667?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14588852#comment-14588852 ] 

Joseph K. Bradley commented on SPARK-7667:
------------------------------------------

[~yanboliang]  What have you checked through, and what remains for this consistency check?

> MLlib Python API consistency check
> ----------------------------------
>
>                 Key: SPARK-7667
>                 URL: https://issues.apache.org/jira/browse/SPARK-7667
>             Project: Spark
>          Issue Type: Task
>          Components: MLlib, PySpark
>    Affects Versions: 1.4.0
>            Reporter: Yanbo Liang
>
> Check and ensure the MLlib Python API(class/method/parameter) consistent with Scala.
> The following APIs are not consistent:
> * class
> * method
> * parameter
> ** feature.StandardScaler.fit()
> ** many transform() function of feature module



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