Mike Dusenberry created SYSTEMML-580:
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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");
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