You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2015/05/06 08:30:59 UTC
[jira] [Resolved] (SPARK-7369) Spark Python 1.3.1 Mllib dataframe
random forest problem
[ https://issues.apache.org/jira/browse/SPARK-7369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-7369.
------------------------------
Resolution: Invalid
Have a look at https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark
This sounds, on its face, like a py4j issue. These kinds of things can be reopened if there is more specific evidence it's Spark-related.
> Spark Python 1.3.1 Mllib dataframe random forest problem
> --------------------------------------------------------
>
> Key: SPARK-7369
> URL: https://issues.apache.org/jira/browse/SPARK-7369
> Project: Spark
> Issue Type: Bug
> Components: MLlib, PySpark
> Affects Versions: 1.3.1
> Reporter: Lisbeth Ron
> Labels: hadoop
>
> I'm working with Dataframes to train a random forest with mllib
> and I have this error
> File "/opt/mapr/spark/spark-1.3.1-bin-mapr4/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o58.sql.
> somebody can help me...???
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org