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https://issues.apache.org/jira/browse/SPARK-7667?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14566233#comment-14566233
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Joseph K. Bradley commented on SPARK-7667:
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If it's an old API from a previous Spark release, we can't really change the
public API unless absolutely necessary. You're right that we mainly need to
check (a) Alpha/Experimental/Developer APIs and (b) new APIs in this release.
> 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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