<NME> calibration.properties
<BEF> input.validData=/Users/chengli/tmp/knn_cali/mscoco/valid
input.testData=/Users/chengli/tmp/knn_cali/mscoco/test
input.validPredictions=/Users/chengli/tmp/knn_cali/validPredictions
input.testPredictions=/Users/chengli/tmp/knn_cali/testPredictions
output.log=/Users/chengli/tmp/knn_cali/log
# scores are features defined for the predicted label set 
# all instances must have the same number of scores
# users can list multiple set predictions for the same id in different lines
input.calibPredictions=/Users/chengli/tmp/knn_cali/calibPredictions
input.validPredictions=/Users/chengli/tmp/knn_cali/validPredictions
input.testPredictions=/Users/chengli/tmp/knn_cali/testPredictions
output.log=/Users/chengli/tmp/knn_cali/log
output.dir=/Users/chengli/tmp/knn_cali/out

calibrate=true
test=true

pyramid.class=Calibration

<MSG> update properties

<DFF> @@ -1,5 +1,11 @@
 input.validData=/Users/chengli/tmp/knn_cali/mscoco/valid
 input.testData=/Users/chengli/tmp/knn_cali/mscoco/test
+# input format:
+# instance id: set prediction (raw score)
+# example:
+# 2: 0, 13, 24, 33 (-8.984935884025358)
+# instance id and label id are 0-based
+instance id and label id are 0-based.
 input.validPredictions=/Users/chengli/tmp/knn_cali/validPredictions
 input.testPredictions=/Users/chengli/tmp/knn_cali/testPredictions
 output.log=/Users/chengli/tmp/knn_cali/log

update properties