Hi all,
I've been trying to get learning to rank working on our own search
index. Following the LTR-readme
(https://github.com/bloomberg/lucene-solr/blob/master-ltr/solr/contrib/ltr/example/README.md)
I ran the example python script to train and upload the model, but I
already get an error during the uploading of the features:
Bad Request (400) - Expected Map to create a new ManagedResource but
received a java.util.ArrayList
at
org.apache.solr.rest.RestManager$RestManagerManagedResource.doPut(RestManager.java:523)
at
org.apache.solr.rest.ManagedResource.doPost(ManagedResource.java:355)
at
org.apache.solr.rest.RestManager$ManagedEndpoint.post(RestManager.java:351)
at
org.restlet.resource.ServerResource.doHandle(ServerResource.java:454)
...
This makes sense: the json feature file is an array, and the RestManager
needs a Map in doPut.
Using the curl command from the cwiki
(https://cwiki.apache.org/confluence/display/solr/Learning+To+Rank)
yields the same error, but instead of it having "received a
java.util.ArrayList" it "received a java.lang.String".
I wonder how this actually is supposed to work, and what's going wrong
in this case. I have tried the LTR with the default techproducts
example, and that worked just fine. Does anyone have an idea of what's
going wrong here?
Thanks in advance!
Vincent
