Github user miccagiann commented on a diff in the pull request:
https://github.com/apache/spark/pull/1624#discussion_r15566654
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala ---
@@ -42,6 +43,16 @@ class PythonMLLibAPI extends Serializable {
private val DENSE_MATRIX_MAGIC: Byte = 3
private val LABELED_POINT_MAGIC: Byte = 4
+ /**
+ * Enumeration used to define the type of Regularizer
+ * used for linear methods.
+ */
+ object RegularizerType extends Serializable {
+ val L2 : Int = 0
+ val L1 : Int = 1
+ val NONE : Int = 2
+ }
--- End diff --
I used a type of Enumeration in order to separate between the different
types of Update Methods [Regularizers] with which the user wants to create the
model from training data. I tried to extend this object from Enumeration but
from what I have seen it uses reflection heavily and it does not work well with
serialized objects and with py4j...
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