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From "Wangda Tan (Commented) (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAHOUT-850) Random Forest Partial implementation in training stage throw EOF exception
Date Tue, 25 Oct 2011 06:38:32 GMT

    [ https://issues.apache.org/jira/browse/MAHOUT-850?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13134782#comment-13134782
] 

Wangda Tan commented on MAHOUT-850:
-----------------------------------

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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