Github user miccagiann commented on a diff in the pull request:
https://github.com/apache/spark/pull/1624#discussion_r15723595
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala ---
@@ -247,16 +248,24 @@ class PythonMLLibAPI extends Serializable {
dataBytesJRDD: JavaRDD[Array[Byte]],
numIterations: Int,
stepSize: Double,
+ regParam: Double,
+ regType: String,
+ intercept: Boolean,
miniBatchFraction: Double,
initialWeightsBA: Array[Byte]): java.util.List[java.lang.Object] = {
+ val lrAlg = new LinearRegressionWithSGD()
+ lrAlg.setIntercept(intercept)
+ lrAlg.optimizer
+ .setNumIterations(numIterations)
+ .setRegParam(regParam)
+ .setStepSize(stepSize)
+ if (regType == "l2")
+ lrAlg.optimizer.setUpdater(new SquaredL2Updater)
+ else if (regType == "l1")
+ lrAlg.optimizer.setUpdater(new L1Updater)
--- End diff --
By adding the exception to the scala code, I am going to remove the
`ValueError` exception used in the python code.
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