[jira] [Created] (SPARK-14907) Use repartition in GLMRegressionModel.save

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

Dongjoon Hyun created SPARK-14907:
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             Summary: Use repartition in GLMRegressionModel.save
                 Key: SPARK-14907
                 URL: https://issues.apache.org/jira/browse/SPARK-14907
             Project: Spark
          Issue Type: Improvement
          Components: MLlib
            Reporter: Dongjoon Hyun
            Priority: Trivial


This issue changes `GLMRegressionModel.save` function like the following code that is similar to other algorithms' parquet write.
{code}
-      val dataRDD: DataFrame = sc.parallelize(Seq(data), 1).toDF()
-      // TODO: repartition with 1 partition after SPARK-5532 gets fixed
-      dataRDD.write.parquet(Loader.dataPath(path))
+      sqlContext.createDataFrame(Seq(data)).repartition(1).write.parquet(Loader.dataPath(path))
{code}



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