I have found that it is due to insufficient training data that are related to that feature. After I add more entries that are related to that features to the training data, the issues did not occur.
Regards, Edwin On Tue, 28 Aug 2018 at 15:56, Zheng Lin Edwin Yeo <edwinye...@gmail.com> wrote: > Hi, > > I am using Solr 7.4.0, and using LIBLINEAR to do the training for the LTR > model based on this example: > https://github.com/bloomberg/lucene-solr/blob/master-ltr/solr/contrib/ltr/example/README.md > > However, I found that when I wanted to train for solr filter query with > the class SolrFeature, I will get the following error saying that the model > lacks weight(s): > > Exception: Status: 400 Bad Request > Response: { > "responseHeader":{ > "status":400, > "QTime":1}, > "error":{ > "metadata":[ > "error-class","org.apache.solr.common.SolrException", > "root-error-class","org.apache.solr.ltr.model.ModelException"], > "msg":"org.apache.solr.ltr.model.ModelException: Model myModel lacks > weight(s) for [category]", > > This is how I define it in my feature JSON file: > > { > "store" : "myFeatures", > "name" : "category", > "class" : "org.apache.solr.ltr.feature.SolrFeature", > "params" : { > "fq": ["{!terms f=category}book"] > } > } > > What could be the reason that causes this, and how can we resolve this > issue? > > Regards, > Edwin >
