Num weight bits = 18
learning rate = 0.5
initial_t = 0
power_t = 0.5
using no cache
Reading datafile = 
num sources = 1
average  since         example        example  current  current  current
loss     last          counter         weight    label  predict features
0.000000 0.000000            1            1.0        3        3       16
0.000000 0.000000            2            2.0        2        2        8

finished run
number of examples = 2
weighted example sum = 2.000000
weighted label sum = 0.000000
average loss = 0.000000
total feature number = 24
