Hi,
I made change in the model by making the LTRScoringModel as immutable and
cache hashCode calculation. The response time improved a lot after the
change.
http://lucene.472066.n3.nabble.com/jira-Updated-SOLR-12688-LTR-Multiple-performance-fixes-pure-DocValues-support-for-FieldValueFeature-td440
It is a little bit difficult to say, because it could be also the business
logic in the query execution. What is your performance baseline, ie if you just
execute one query for each of the models?
How fast should it be? Do you have really 10 or more concurrent users, or users
that fire up querie
Hi,
Any update on this?
Is this model running in multi threaded mode or is there is any scope to do
this. Please let me know.
Regards
Kamal
On Sat, Mar 23, 2019 at 10:35 AM Kamal Kishore Aggarwal <
kkroyal@gmail.com> wrote:
> HI Jörn Franke,
>
> Thanks for the quick reply.
>
> I have perfor
HI Jörn Franke,
Thanks for the quick reply.
I have performed the jmeter load testing on one of the server for Linear vs
Multipleadditive tree model. We are using lucidworks fusion.
There is some business logic in the query pipeline followed by main solr
ltr query. This is the total time taken by
Can you share the time needed of the two models? How many documents? What is
your loading pipeline? Have you observed cpu/memory?
> Am 22.03.2019 um 12:01 schrieb Kamal Kishore Aggarwal :
>
> Hi,
>
> I am trying to use LTR with solr 6.6.2.There are different types of model
> like Linear Model,
Hi,
I am trying to use LTR with solr 6.6.2.There are different types of model
like Linear Model, Multiple Additive Trees Model and Neural Network Model.
I have tried using Linear & Multiadditive model and compared the
performance of results. There is a major difference in response time
between th
