[jira] [Created] (SPARK-13676) Fix mismatched default values for regParam in LogisticRegression

["Dongjoon Hyun (JIRA)" <ji...@apache.org>]

Dongjoon Hyun created SPARK-13676:
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             Summary: Fix mismatched default values for regParam in LogisticRegression
                 Key: SPARK-13676
                 URL: https://issues.apache.org/jira/browse/SPARK-13676
             Project: Spark
          Issue Type: Bug
          Components: ML
            Reporter: Dongjoon Hyun


The default value of regularization parameter for `LogisticRegression` algorithm is different in Scala and Python. We should provide the same value.

{code:title=Scala|borderStyle=solid}
scala> new org.apache.spark.ml.classification.LogisticRegression().getRegParam
res0: Double = 0.0
{code}

{code:title=Python|borderStyle=solid}
>>> from pyspark.ml.classification import LogisticRegression
>>> LogisticRegression().getRegParam()
0.1
{code}



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