/ LONDON) [mailto:cpoersc...@bloomberg.net]
Sent: Tuesday, October 31, 2017 8:48 AM
To: solr-user@lucene.apache.org
Subject: RE: LTR feature extraction performance issues
Hi Brian,
I just tried to explore the scenario you describe with the techproducts example
and am able to see what you see:
# step 1
-user@lucene.apache.org
Subject: RE: LTR feature extraction performance issues
Hi Alessandro,
Unfortunately some of my most important features are query dependent. I think I
found an issue though. I don't think my features are being inserted into the
cache. Notice "cumulative_inserts:0&q
:01 AM
To: solr-user@lucene.apache.org
Subject: Re: LTR feature extraction performance issues
It strictly depends on the kind of features you are using.
At the moment there is just one cache for all the features.
This means that even if you have 1 query dependent feature and 100 document
dependent featur
ubject: Re: LTR feature extraction performance issues
It strictly depends on the kind of features you are using.
At the moment there is just one cache for all the features.
This means that even if you have 1 query dependent feature and 100 document
dependent feature, a different value for the quer
It strictly depends on the kind of features you are using.
At the moment there is just one cache for all the features.
This means that even if you have 1 query dependent feature and 100 document
dependent feature, a different value for the query dependent one will
invalidate the cache entry for the
I enabled LTR feature extraction and response times spiked. I suppose that was
to be expected, but are there any tips regarding performance? I have the
feature values cache set up as described in the docs:
Do I simply have to wait for the cache to fill up and hope that response times
go down?
