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https://issues.apache.org/jira/browse/MAHOUT-850?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13134782#comment-13134782
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Wangda Tan commented on MAHOUT-850:
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Because 0.6 is an un-released version, so we have to using mahout 0.5. 0.6
refactor the implementation of decision forest. it don't have this problem, and
works well in hadoop 0.20.205.0. But in 0.5, it will throw an EOF exception.
Thank you for your reply
> Random Forest Partial implementation in training stage throw EOF exception
> --------------------------------------------------------------------------
>
> Key: MAHOUT-850
> URL: https://issues.apache.org/jira/browse/MAHOUT-850
> Project: Mahout
> Issue Type: Bug
> Components: Classification
> Affects Versions: 0.5
> Environment: Java 1.6
> Mac OS 10.6.8
> Hadoop 0.20.205
> Reporter: Wangda Tan
> Labels: eof, forest, random
> Attachments: PartialBuilder.patch
>
>
> when running next command line to training:
> bin/hadoop jar mahout-examples-0.5-gphdce-1.1.0.0-job.jar
> org.apache.mahout.df.mapred.BuildForest -Dmapred.max.split.size=1874231 -oob
> -d rf_input/KDDTrain_20Percent.arff -ds rf_input/KDDTrain_20Percent.info -sl
> 5 -p -t 100
> it will throw an EOF exception.
> --
> Reason:
> In previous stage, _SUCCESS and _logs file will in the output folder, when
> parse the output folder, _SUCCESS and _logs will cause an EOF exception
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