only testing
Num weight bits = 18
learning rate = 10
initial_t = 1
power_t = 0.5
predictions = sequence_data.predict
using no cache
Reading datafile = train-sets/sequence_data
num sources = 1
average    since      instance            current true      current predicted   cur   cur   predic    cache  examples          
loss       last        counter           output prefix          output prefix  pass   pol     made     hits    gener  beta    
0.000000   0.000000          1  [5 4 3 2 1           ] [5 4 3 2 1           ]     0     0        5        0        0  0.000000

finished run
number of examples per pass = 1
passes used = 1
weighted example sum = 1
weighted label sum = 0
average loss = 0
best constant = -inf
total feature number = 15