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https://issues.apache.org/jira/browse/SPARK-12346?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15059710#comment-15059710
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Apache Spark commented on SPARK-12346:
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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}
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