x27;s
> see if they have any insight and in a couple of weeks we merge!
> Cheers
> --
> Alessandro Benedetti
> Apache Lucene/Solr Committer
> Director, R&D Software Engineer, Search Consultant
>
> www.sease.io
>
>
> On Mon, 15 Nov 2021 at
Hi all,
We recently identified and fixed an issue with the OpenNLP dictionary-based
lemmatizer that seems to affect all versions. It resulted in generally high
memory usage and random OOM exceptions, generally high server load during
both indexing and querying and overall unstable performance.
It
t; Apache Lucene/Solr Committer
> Director, R&D Software Engineer, Search Consultant
>
> www.sease.io
>
>
> On Wed, 28 Jul 2021 at 21:00, Spyros Kapnissis wrote:
>
> > Hi Alessandro, Roopa, I created the ticket here:
> > https://issues.apache.org/jira/browse/SOLR
--
> Alessandro Benedetti
> Apache Lucene/Solr Committer
> Director, R&D Software Engineer, Search Consultant
>
> www.sease.io
>
>
> On Mon, 26 Jul 2021 at 21:29, Spyros Kapnissis wrote:
>
> > Hi Alessandro, Roopa, I also agree that this issue should b
> > Alessandro Benedetti
> > Apache Lucene/Solr Committer
> > Director, R&D Software Engineer, Search Consultant
> >
> > www.sease.io
> >
> >
> > On Fri, 16 Jul 2021 at 20:29, Roopa Rao wrote:
> >
> > >
Hello,
Just to verify this, we had come across the exact same issue when
converting an XGBoost model to MUltipleAdditiveTrees. This was an issue
specifically with the categorical features that take on integer values. We
ended up subtracting 0.5 from the threshold value on any such split point
on t
