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https://issues.apache.org/jira/browse/OPENNLP-363?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13146587#comment-13146587
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Joern Kottmann commented on OPENNLP-363:
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The "outcome" arrays are usually very small (3 to 50 elements) and I therefore
wonder if the usage of system copy wouldn't slow things done.
There are also cases where we copy large arrays via a loop (e.g.
PerceptronModelWriter), I guess that would make sense to replace the call there.
Anyway we would need to do performance measuring on some test data, to ensure
we don't get a performance regression.
> performance-issues: manual array or collection copy, appending strings,
> string creation, extra .toString()
> -----------------------------------------------------------------------------------------------------------
>
> Key: OPENNLP-363
> URL: https://issues.apache.org/jira/browse/OPENNLP-363
> Project: OpenNLP
> Issue Type: Improvement
> Affects Versions: tools-1.5.3-incubating, maxent-3.0.3-incubating
> Reporter: Aliaksandr Autayeu
> Priority: Minor
> Labels: patch
> Attachments:
> 0003-performance-issues-manual-array-or-collection-copy-a.patch
>
> Original Estimate: 2h
> Remaining Estimate: 2h
>
> There are multiple performance nuisances: manual array or collection copy,
> appending strings, string creation, extra .toString() calls.
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