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https://issues.apache.org/jira/browse/OPENNLP-830?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joern Kottmann closed OPENNLP-830.
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Resolution: Fixed
> 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
> Assignee: Joern Kottmann
> Labels: performance
> Fix For: 1.6.1
>
> 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.
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