[jira] [Resolved] (SPARK-6256) Python MLlib API missing items: Regression

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-6256?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley resolved SPARK-6256.
--------------------------------------
       Resolution: Fixed
    Fix Version/s: 1.4.0

Issue resolved by pull request 4997
[https://github.com/apache/spark/pull/4997]

> Python MLlib API missing items: Regression
> ------------------------------------------
>
>                 Key: SPARK-6256
>                 URL: https://issues.apache.org/jira/browse/SPARK-6256
>             Project: Spark
>          Issue Type: Sub-task
>          Components: MLlib, PySpark
>    Affects Versions: 1.3.0
>            Reporter: Joseph K. Bradley
>             Fix For: 1.4.0
>
>
> This JIRA lists items missing in the Python API for this sub-package of MLlib.
> This list may be incomplete, so please check again when sending a PR to add these features to the Python API.
> Also, please check for major disparities between documentation; some parts of the Python API are less well-documented than their Scala counterparts.  Some items may be listed in the umbrella JIRA linked to this task.
> LassoWithSGD
> * setIntercept
> * setValidateData
> LinearRegressionWithSGD, RidgeRegressionWithSGD
> * setValidateData



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