creating quadratic features for pairs: GT 
Num weight bits = 18
learning rate = 0.5
initial_t = 0
power_t = 0.5
using no cache
Reading datafile = train-sets/decisionservice.json
num sources = 1
average  since         example        example  current  current  current
loss     last          counter         weight    label  predict features
-0.020408 -0.020408            1            1.0    known        0:0.816667...      362
-0.010204 0.000000            2            2.0    known        6:0.816667...      362

finished run
number of examples = 3
weighted example sum = 3.000000
weighted label sum = 0.000000
average loss = -0.340136
total feature number = 1086
