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

Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/12/12 01:07:46 UTC

[jira] [Updated] (SPARK-12296) Feature parity for pyspark.mllib StandardScalerModel

     [ https://issues.apache.org/jira/browse/SPARK-12296?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley updated SPARK-12296:
--------------------------------------
    Issue Type: Sub-task  (was: New Feature)
        Parent: SPARK-11937

> Feature parity for pyspark.mllib StandardScalerModel
> ----------------------------------------------------
>
>                 Key: SPARK-12296
>                 URL: https://issues.apache.org/jira/browse/SPARK-12296
>             Project: Spark
>          Issue Type: Sub-task
>          Components: MLlib, PySpark
>            Reporter: Joseph K. Bradley
>            Priority: Minor
>
> Some methods are missing, such as ways to access the std, mean, etc.  This JIRA is for feature parity for pyspark.mllib.feature.StandardScaler & StandardScalerModel



--
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