Num weight bits = 18
learning rate = 10
initial_t = 1
power_t = 0.5
decay_learning_rate = 1
predictions = cs_test.ldf.csoaa.predict
creating cache_file = train-sets/cs_test.ldf.cache
Reading from train-sets/cs_test.ldf
num sources = 1
average    since         example     example  current  current  current
loss       last          counter      weight    label  predict features
0.666667   0.666667          3      3.0    known        1        3
0.500000   0.333333          6      6.0    known        1        3
0.363636   0.200000         11     11.0    known        0        3
0.363636   0.363636         22     22.0    known        0        3

finished run
number of examples = 30
weighted example sum = 30
weighted label sum = 0
average loss = 0.3667
best constant = -0.03448
total feature number = 210