diff options
Diffstat (limited to 'test/train-sets/ref/0002a.stderr')
| -rw-r--r-- | test/train-sets/ref/0002a.stderr | 36 |
1 files changed, 36 insertions, 0 deletions
diff --git a/test/train-sets/ref/0002a.stderr b/test/train-sets/ref/0002a.stderr new file mode 100644 index 00000000..babe9837 --- /dev/null +++ b/test/train-sets/ref/0002a.stderr @@ -0,0 +1,36 @@ +creating quadratic features for pairs: tr +final_regressor = models/0002a.model +using no cache +Reading from train-sets/0002.dat +num sources = 1 +Num weight bits = 18 +learning rate = 10 +initial_t = 1 +power_t = 0 +learning_rate set to 10 +average since example example current current current +loss last counter weight label predict features +0.116985 0.116985 3 3.0 0.5498 0.3393 15 +0.072802 0.028618 6 6.0 0.2681 0.0000 15 +0.064328 0.054159 11 11.0 0.4315 0.0000 15 +0.041313 0.018298 22 22.0 0.5519 0.5597 15 +0.022418 0.003522 44 44.0 0.5514 0.6180 15 +0.014116 0.005621 87 87.0 0.5140 0.5066 15 +0.009419 0.004722 174 174.0 0.5596 0.5548 15 +0.006447 0.003475 348 348.0 0.5475 0.5501 15 +0.004132 0.001817 696 696.0 0.3421 0.3947 15 +0.002638 0.001144 1392 1392.0 0.4996 0.5066 15 +0.001607 0.000575 2784 2784.0 0.5090 0.5234 15 +0.001024 0.000442 5568 5568.0 0.6413 0.6181 15 +0.000809 0.000594 11135 11135.0 0.3869 0.4344 15 +0.000614 0.000418 22269 22269.0 0.5063 0.5065 15 +0.000633 0.000651 44537 44537.0 0.4905 0.4800 15 + +finished run +number of examples = 74746 +weighted example sum = 6.952e+04 +weighted label sum = 3.511e+04 +average loss = 0.0006521 +best constant = 0.5051 +best constant's loss = 0.25 +total feature number = 1121190 |