Num weight bits = 18
learning rate = 0.5
initial_t = 0
power_t = 0.5
using no cache
Reading datafile = train-sets/x.txt
num sources = 1
average  since         example        example  current  current  current
loss     last          counter         weight    label  predict features
1.000000 1.000000            1            1.0  -1.0000   0.0000     5865

finished run
number of examples = 1
weighted example sum = 1.000000
weighted label sum = -1.000000
average loss = 1.000000
best constant = -1.000000
best constant's loss = 0.000000
total feature number = 5865
