Mike Dusenberry created SYSTEMML-580: ----------------------------------------
Summary: Add Scala LogisticRegression API For Spark Pipeline Key: SYSTEMML-580 URL: https://issues.apache.org/jira/browse/SYSTEMML-580 Project: SystemML Issue Type: New Feature 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)