Hi, I am looking at implementing the NeuralNetworkModel for the Solr LTR which uses the "pairwise" approach, as it seems to be a better option than the LinearModel, which uses the "pointwise" approach..
I am following the setup from the following site: https://github.com/airalcorn2/Solr-LTR#RankNet to setup RankNet. However, I am not sure of the codes in the example, like which code should we run first? The first code below seems to be already calling the model, but we have not train and upload the model yet, and those codes are in the later section. url = "http://localhost:8983/solr/test/query"; url += "?q={0}&df=text&rq={{!ltr model=my_efi_model ".format(text) url += "efi.text_a='{0}' efi.text_b='{1}' efi.text='{2}'}}".format(text_a, text_b, text) url += "&fl=id,score,[features]&rows={1}".format(text, RERANK) Anyone has tried this before and know of the correct sequence to setup the RankNet successfully? Regards, Edwin
