configExample_l2r.cnf

featureSetCacheFile = cache_feature_set.obj
useCache = false

#path to the machine learning method tools (this is used in the XML machine learning method scripts - variable xmlMachineLearningMethods)
mlToolsPath = ml_tools/ 

#Feature id range for each view. 
view_1_idx_range=1-2
view_2_idx_range=3-4
view_3_idx_range=5
#its similar to:
#viewPerFeature = 1,1,2,2,3,3
#In viewPerFeature, use "0" if there is no view assigned to a determined feature

#Whether to use all feature set in the second level (together with the predictions)
withFeatSet = false

#justBaseLevel use a usual machine learning (do not do the multiview, using all features)
justBaseLevel = false

#output dir result
outputDir=result

#XML containing the machine learning methods scripts
xmlMachineLearningMethods = MultiviewMethod/learning_methods.xml

#machine learning type (classification, regression or l2r)
mlMode = l2r


#usage the ml name contained in the xml file (xmlMachineLearningMethods)
mlMethod = SVMRank