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Apache Spark commented on SPARK-12346: -------------------------------------- User 'ericl' has created a pull request for this issue: https://github.com/apache/spark/pull/10323 > GLM summary crashes with NoSuchElementException if attributes are missing > names > ------------------------------------------------------------------------------- > > Key: SPARK-12346 > URL: https://issues.apache.org/jira/browse/SPARK-12346 > Project: Spark > Issue Type: Bug > Reporter: Eric Liang > > In getModelFeatures() of SparkRWrappers.scala, we call _.name.get on all the > feature column attributes. This fails when the attribute name is not defined. > One way of reproducing this is to perform glm() in R with a vector-type input > feature that lacks ML attrs, then trying to call summary() on it, for example: > {code} > df <- sql(sqlContext, "SELECT * FROM testData") > df2 <- withColumnRenamed(df, "f1", "f2") // This drops the ML attrs from f1 > lrModel <- glm(hours_per_week ~ f2, data = df2, family = "gaussian") > summary(lrModel) // NoSuchElementException > {code} -- 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