<NME> exp41.config
<BEF> ADDFILE
<MSG> add MultiLabelPredictionAnalysis for MLLogisticRegression

<DFF> @@ -0,0 +1,46 @@
+############## input #################
+input.folder=/huge1/people/chengli/projects/pyramid/archives/exp12/imdb_multi_label/2
+input.trainData=train.trec
+input.testData=test.trec
+
+############### output ###########
+output.folder=/huge1/people/chengli/projects/pyramid/archives/exp41/imdb_multi_label/1/
+output.model=model
+
+############ functions #############
+train=true
+test=true
+verify=true
+
+# termination threshold
+train.epsilon=1
+# regularization strength; small value indicates strong regularization
+train.gaussianPriorVariance=0.1
+
+############ verify ##################
+verify.topFeatures=true
+verify.topFeatures.limit=200
+verify.topFeatures.file=top_features.json
+verify.analyze=true
+verify.analyze.doc.withRightPrediction=false
+verify.analyze.doc.withWrongPrediction=true
+verify.analyze.class.truePositive=false
+verify.analyze.class.trueNegative=false
+verify.analyze.class.falsePositive=true
+verify.analyze.class.falseNegative=false
+verify.analyze.rule.limit=1
+verify.analyze.file=train_prediction_analysis.json
+verify.analyze.numDocsPerFile=1000
+
+
+############# test #################
+test.analyze=true
+test.analyze.doc.withRightPrediction=false
+test.analyze.doc.withWrongPrediction=true
+test.analyze.class.truePositive=false
+test.analyze.class.trueNegative=false
+test.analyze.class.falsePositive=false
+test.analyze.class.falseNegative=true
+test.analyze.rule.limit=1
+test.analyze.file=test_prediction_analysis.json
+test.analyze.numDocsPerFile=1000

add MultiLabelPredictionAnalysis for MLLogisticRegression