Hi, I am using the Solr LTR in Solr 7.4.0, and I am trying to train an example learning model using LIBLINEAR.
When I tried to run the code from train_and_upload_demo_model.py , I can only train one feature at a time. If I put more than one features, then I will get the following error Traceback (most recent call last): File "train_and_upload_demo_model.py", line 182, in <module> sys.exit(main()) File "train_and_upload_demo_model.py", line 169, in main formatter.processQueryDocFeatureVector(fvGenerator,config["trainingFile"]); File "/cygdrive/c/Users/edwin_000/Desktop/edwin/edm-7.4.0/contrib/ltr/myModel/libsvm_formatter.py", line 25, in processQueryDocFeatureVector curListOfFv.append((relevance,self._makeFeaturesMap(featureVector))) File "/cygdrive/c/Users/edwin_000/Desktop/edwin/edm-7.4.0/contrib/ltr/myModel/libsvm_formatter.py", line 35, in _makeFeaturesMap featName,featValue = keyValuePairStr.split(":"); ValueError: too many values to unpack Is there any way that we can do so that we can train 2 or more features at the same time? Regards, Edwin