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Mike Dusenberry updated SYSTEMML-580: ------------------------------------- Summary: Add Scala LogisticRegression API For Spark ML Pipeline (was: Add Scala LogisticRegression API For Spark Pipeline) > 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"); -- This message was sent by Atlassian JIRA (v6.3.4#6332)