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Posted to issues@spark.apache.org by "Colin Beckingham (JIRA)" <ji...@apache.org> on 2016/07/28 13:06:20 UTC

[jira] [Created] (SPARK-16768) pyspark calls incorrect version of logistic regression

Colin Beckingham created SPARK-16768:
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             Summary: pyspark calls incorrect version of logistic regression
                 Key: SPARK-16768
                 URL: https://issues.apache.org/jira/browse/SPARK-16768
             Project: Spark
          Issue Type: Bug
          Components: MLlib, PySpark
         Environment: Linux openSUSE Leap 42.1 Gnome
            Reporter: Colin Beckingham
             Fix For: 2.1.0


PySpark call with Spark 1.6.2 "LogisticRegressionWithLBFGS.train()"  runs "treeAggregate at LBFGS.scala:218" but the same command in pyspark with Spark 2.1 runs "treeAggregate at LogisticRegression.scala:1092". This non-optimized version is much slower and produces a different answer from LBFGS.



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