[
https://issues.apache.org/jira/browse/OPENNLP-830?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15103623#comment-15103623
]
Tommaso Teofili commented on OPENNLP-830:
-----------------------------------------
[[email protected]] while I agree that looks like a bit of legacy
code, it'd be good to have a clear evidence of such improvements. Are you able
to produce a test case and / or provide link to code where we can see such
performance gains?
> Huge runtime improvement on training (POS, Chunk, ...)
> ------------------------------------------------------
>
> Key: OPENNLP-830
> URL: https://issues.apache.org/jira/browse/OPENNLP-830
> Project: OpenNLP
> Issue Type: Improvement
> Components: Machine Learning, POS Tagger
> Affects Versions: 1.6.0
> Environment: Any
> Reporter: Julien Subercaze
> Labels: performance
> Original Estimate: 1h
> Remaining Estimate: 1h
>
> opennlp.tools.ml.model.IndexHashTable is custom-made Hashtable that is used
> to store mapping index. This Hashtable is heavily used in openlp.tools.ml.*
> (i.e. every model) and leads to disastrous performance.
> This hashtable is probably legacy some legacy and is highly inefficient. A
> simple drop-in replacement by a java.util.HashMap wrapper solves the issue,
> doesn't break compatibility and does not add any dependency.
> Training a pos-tagger on a large dataset with custom tags, I see a factor 5
> improvement. It also seems to improve all ML models training pipeline.
> See :
> https://github.com/jsubercaze/opennlp/blob/trunk/opennlp-tools/src/main/java/opennlp/tools/ml/model/IndexHashTable.java
> For a quick fix.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
