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https://issues.apache.org/jira/browse/OPENNLP-837?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joern Kottmann updated OPENNLP-837:
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Description: When the amounts of training data are not sufficient in order
to train a model the user should be made aware of that with an informative
message, e.g. a warning when using the command line, an exception when calling
the APIs programmatically. (was: When the amounts of training data are not
sufficient in order to train a Doccat model the user should be made aware of
that with an informative message, e.g. a warning when using the command line,
an exception when calling the APIs programmatically.)
Component/s: (was: Doccat)
Machine Learning
Summary: Fail when non-sufficient amounts of training data are provided
for training (was: Let Doccat fail when non-sufficient amounts of training
data are provided for training)
> Fail when non-sufficient amounts of training data are provided for training
> ---------------------------------------------------------------------------
>
> Key: OPENNLP-837
> URL: https://issues.apache.org/jira/browse/OPENNLP-837
> Project: OpenNLP
> Issue Type: Bug
> Components: Machine Learning
> Reporter: Tommaso Teofili
> Assignee: Tommaso Teofili
> Fix For: 1.6.1
>
> Attachments: OPENNLP-837.patch
>
>
> When the amounts of training data are not sufficient in order to train a
> model the user should be made aware of that with an informative message, e.g.
> a warning when using the command line, an exception when calling the APIs
> programmatically.
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