/usr/share/doc/vowpal-wabbit-doc/examples/test/test-sets/ref/active_cover.stderr is in vowpal-wabbit-doc 8.1.1-1.
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predictions = active_cover.predict
Num weight bits = 18
learning rate = 0.5
initial_t = 0
power_t = 0.5
using no cache
Reading datafile = test-sets/rcv1_small_test.data
num sources = 1
average since example example current current current
loss last counter weight label predict features
0.000000 0.000000 1 1.0 1.0000 1.0000 63
0.500000 1.000000 2 2.0 1.0000 -1.0000 147
0.250000 0.000000 4 4.0 -1.0000 -1.0000 142
0.250000 0.250000 8 8.0 1.0000 1.0000 22
0.125000 0.000000 16 16.0 -1.0000 -1.0000 50
0.187500 0.250000 32 32.0 1.0000 1.0000 85
0.156250 0.125000 64 64.0 1.0000 -1.0000 190
0.140625 0.125000 128 128.0 1.0000 1.0000 134
0.164062 0.187500 256 256.0 1.0000 1.0000 54
finished run
number of examples per pass = 500
passes used = 1
weighted example sum = 500.000000
weighted label sum = -10.000000
average loss = 0.162000
best constant = -0.020000
best constant's loss = 0.999600
total feature number = 39948
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