/usr/share/doc/vowpal-wabbit-doc/examples/test/train-sets/ref/rcv1_small.stderr is in vowpal-wabbit-doc 8.1.1-1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | using l2 regularization = 1
enabling BFGS based optimization **without** curvature calculation
Num weight bits = 20
learning rate = 0.5
initial_t = 0
power_t = 0.5
decay_learning_rate = 1
m = 7
Allocated 72M for weights and mem
## avg. loss der. mag. d. m. cond. wolfe1 wolfe2 mix fraction curvature dir. magnitude step size
creating cache_file = train-sets/rcv1_small.dat.cache
Reading datafile = train-sets/rcv1_small.dat
num sources = 1
1 0.69315 0.00266 0.87764 2.24708 776.93237 0.39057
3 0.51357 0.00493 0.23981 0.523903 0.088793 40.87817 1.00000
4 0.48774 0.00232 0.08215 0.274548 -0.410690 2.64529 1.00000
5 0.47879 0.00006 0.00617 0.595892 0.183063 0.47184 1.00000
6 0.47750 0.00000 0.00221 0.703360 0.403715 0.68626 1.00000
7 0.47680 0.00000 0.00038 0.588395 0.175459 0.08911 1.00000
8 0.47671 0.00000 0.00002 0.568445 0.136827 0.00444 1.00000
finished run
number of examples = 8000
weighted example sum = 8000
weighted label sum = -656
average loss = 0.458842
best constant = -0.164369
best constant's loss = 0.689781
total feature number = 629912
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