only testing
parsed 3 named labels
predictions = test_named.predict
Num weight bits = 18
learning rate = 0.5
initial_t = 0
power_t = 0.5
using no cache
Reading datafile = train-sets/test_named
num sources = 1
average  since         example        example  current  current  current
loss     last          counter         weight    label  predict features
0.000000 0.000000            1            1.0      det      det        2
0.000000 0.000000            2            2.0     noun     noun        2
0.000000 0.000000            4            4.0  unknown      det        2

finished run
number of examples = 6
weighted example sum = 6.000000
weighted label sum = 0.000000
average loss = 0.000000
total feature number = 12
