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https://issues.apache.org/jira/browse/OPENNLP-937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15823135#comment-15823135
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ASF GitHub Bot commented on OPENNLP-937:
----------------------------------------

GitHub user kottmann opened a pull request:

    https://github.com/apache/opennlp/pull/62

    [WIP, don't merge] OPENNLP-937: Print error and hint for insufficient 
training data

    

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/kottmann/opennlp OPENNLP-937

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/opennlp/pull/62.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #62
    
----
commit 19276dffdb62b77fbeadb27550cec22212078c44
Author: Jörn Kottmann <[email protected]>
Date:   2017-01-14T23:20:34Z

    OPENNLP-940: Use all cores for build, user 4 cores for parser eval

commit 83b83179de35c30bbb50d839bfed50094b2a8bdd
Author: Jörn Kottmann <[email protected]>
Date:   2017-01-15T14:03:07Z

    OPENNLP-937: Print error and hint for insufficient training data

----


> CLI trainers and cross eval should print an error if training data is 
> insufficient
> ----------------------------------------------------------------------------------
>
>                 Key: OPENNLP-937
>                 URL: https://issues.apache.org/jira/browse/OPENNLP-937
>             Project: OpenNLP
>          Issue Type: Bug
>          Components: Command Line Interface
>            Reporter: Joern Kottmann
>            Assignee: Joern Kottmann
>            Priority: Minor
>             Fix For: 1.7.1
>
>
> Currently the InsufficientTrainingDataException stack trace is printed to the 
> console. We should catch this exception and provide the user with some help 
> to deal with this problem.
> We get often questions about this on the ml and a helpful error could 
> probably answer it without having people (the few who bother) ask for help.



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