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Xiangrui Meng commented on SPARK-6810: -------------------------------------- the ml part (glm) is about the same. all computation is on the Scala side. i would wait until 1.6 to benchmark GLM because we are going to implement the same algorithm as R in 1.6. > Performance benchmarks for SparkR > --------------------------------- > > Key: SPARK-6810 > URL: https://issues.apache.org/jira/browse/SPARK-6810 > Project: Spark > Issue Type: New Feature > Components: SparkR > Reporter: Shivaram Venkataraman > Priority: Critical > > We should port some performance benchmarks from spark-perf to SparkR for > tracking performance regressions / improvements. > https://github.com/databricks/spark-perf/tree/master/pyspark-tests has a list > of PySpark performance benchmarks -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org