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Michael A. Alcorn commented on SOLR-11597: ------------------------------------------ [~cpoerschke] - yes, they are separate. RankNet is specifically a learning to rank model whereas the other architectures being discussed are more for modeling language. I describe how to train a RankNet model using Keras [here|https://github.com/airalcorn2/Solr-LTR#RankNet]. The weights can be exported from Keras in any format the user wants. The original Solr representation I suggested made it easy to export the weights from Keras since the weights are contained in matrices. > Implement RankNet. > ------------------ > > Key: SOLR-11597 > URL: https://issues.apache.org/jira/browse/SOLR-11597 > Project: Solr > Issue Type: New Feature > Security Level: Public(Default Security Level. Issues are Public) > Components: contrib - LTR > Reporter: Michael A. Alcorn > > Implement RankNet as described in [this > tutorial|https://github.com/airalcorn2/Solr-LTR]. -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org