Hi, I have a recommender, with a boolean prefs model. I am following the instructions in the MIA book, but only get this exception:
Illegal precision: NaN [Thrown class java.lang.IllegalArgumentException] Restarts: 0: [QUIT] Quit to the SLIME top level Backtrace: 0: com.google.common.base.Preconditions.checkArgument(Preconditions.java:88) 1: org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl.<init>(IRStatisticsImpl.java:35) 2: org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator.evaluate(GenericRecommenderIRStatsEvaluator.java:212) The code is written in Clojure, I hope that's OK: (let [model (GenericBooleanPrefDataModel. (GenericBooleanPrefDataModel/toDataMap (FileDataModel. (File. "resources/test.data")))) evaluator (GenericRecommenderIRStatsEvaluator.) rbuilder (reify RecommenderBuilder (buildRecommender [this model] (let [sim (LogLikelihoodSimilarity. model) nhood (NearestNUserNeighborhood. 10 sim model)] (GenericBooleanPrefUserBasedRecommender. model nhood sim)))) mbuilder (reify DataModelBuilder (buildDataModel [this training-data] (GenericBooleanPrefDataModel. (GenericBooleanPrefDataModel/toDataMap training-data))))] (.evaluate evaluator rbuilder mbuilder model nil 10 GenericRecommenderIRStatsEvaluator/CHOOSE_THRESHOLD 1.0)) My test data file is very simple (for now): 1,1 1,2 1,3 2,1 2,10 2,100 2,20 3,9 3,10 3,20 3,1 4,10 4,15 4,1 Any idea what I might be doing wrong? Thanks in advance, - Matt