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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
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