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https://issues.apache.org/jira/browse/SYSTEMML-580?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15197797#comment-15197797
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Mike Dusenberry commented on SYSTEMML-580:
------------------------------------------
[PR 70 | https://github.com/apache/incubator-systemml/pull/70] merged as
[commit 7ce19c8097f3d24d07be87d9427890834f9a9bea |
https://github.com/apache/incubator-systemml/commit/7ce19c8097f3d24d07be87d9427890834f9a9bea].
> 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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