[jira] [Commented] (SYSTEMML-580) Add Scala LogisticRegression API For Spark ML Pipeline

["Mike Dusenberry (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SYSTEMML-580?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15197785#comment-15197785 ] 

Mike Dusenberry commented on SYSTEMML-580:
------------------------------------------

[PR 70 | https://github.com/apache/incubator-systemml/pull/70] submitted.

> Add Scala LogisticRegression API For Spark ML Pipeline
> ------------------------------------------------------
>
>                 Key: SYSTEMML-580
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-580
>             Project: SystemML
>          Issue Type: New Feature
>          Components: APIs
>            Reporter: Tommy Yu
>            Assignee: Tommy Yu
>
> I wrote a scala ml pipeline wrapper for LogisticRegression Model as a example for scala user.
> I propose a scala version example since some weakness for java version.
> It's not naturally to extend scala class in java code. We need know function style after compile, like
> @Override
> public void org$apache$spark$ml$param$shared$HasElasticNetParam$setter$elasticNetParam_$eq(DoubleParam arg0) {}
> I assume it's set function, but do nothing here
> Hard to follow ml parameter style, but define parameter like below
> private IntParam icpt = new IntParam(this, "icpt", "Value of intercept");
> private DoubleParam reg = new DoubleParam(this, "reg", "Value of regularization parameter");



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