Hi Alessandro, You're right it doesn't have to be that accurate to the query time but our requirement is having a more solid control over our outputs from Solr like if we have 4 features then we can adjust the weights giving something like (40,20,20,20) to each feature such that the sum total of features for a document is 100 this is only possible if we could scale the feature outputs between 0-1.
Secondly, I also have a doubt regarding the scaling function like why it is not considering only the documents filtered out by the FQ filter and considering all the documents which match the query. Thaks a lot in advance. Looking forward to hearing back from you soon. Regards, Prateek On 2018/05/04 10:26:55, Alessandro Benedetti <a.benede...@sease.io> wrote: > Hi Preteek, > I would assume you have that feature at training time as well, can't you use > the training set to estabilish the parameters for the normalizer at query > time ? > > In the end being a normalization, doesn't have to be that accurate to the > query time state, but it must reflect the relations the model learnt from > the training set. > Let me know ! > > > > ----- > --------------- > Alessandro Benedetti > Search Consultant, R&D Software Engineer, Director > Sease Ltd. - www.sease.io > -- > Sent from: http://lucene.472066.n3.nabble.com/Solr-User-f472068.html >
