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https://issues.apache.org/jira/browse/SPARK-6661?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14395930#comment-14395930
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Apache Spark commented on SPARK-6661:
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User '31z4' has created a pull request for this issue:
https://github.com/apache/spark/pull/5361
> Python type errors should print type, not object
> ------------------------------------------------
>
> Key: SPARK-6661
> URL: https://issues.apache.org/jira/browse/SPARK-6661
> Project: Spark
> Issue Type: Bug
> Components: MLlib, PySpark
> Affects Versions: 1.3.0
> Reporter: Joseph K. Bradley
> Priority: Minor
>
> In MLlib PySpark, we sometimes test the type of an object and print an error
> if the object is of the wrong type. E.g.:
> [https://github.com/apache/spark/blob/f084c5de14eb10a6aba82a39e03e7877926ebb9e/python/pyspark/mllib/regression.py#L173]
> These checks should print the type, not the actual object. E.g., if the
> object cannot be converted to a string, then the check linked above will give
> a warning like this:
> {code}
> TypeError: not all arguments converted during string formatting
> {code}
> ...which is weird for the user.
> There may be other places in the codebase where this is an issue, so we need
> to check through and verify.
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