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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-7667) MLlib Python API consistency check
Date Wed, 17 Jun 2015 09:56:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-7667?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14589565#comment-14589565
] 

Apache Spark commented on SPARK-7667:
-------------------------------------

User 'yanboliang' has created a pull request for this issue:
https://github.com/apache/spark/pull/6856

> 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
> ** recommendation.MatrixFactorizationModel.predictAll()
> * parameter
> ** feature.StandardScaler.fit()
> ** many transform() function of feature module



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