diff options
Diffstat (limited to 'test/train-sets/ref/progress-0.5.stderr')
| -rw-r--r-- | test/train-sets/ref/progress-0.5.stderr | 24 |
1 files changed, 12 insertions, 12 deletions
diff --git a/test/train-sets/ref/progress-0.5.stderr b/test/train-sets/ref/progress-0.5.stderr index 74c71b0f..7005913b 100644 --- a/test/train-sets/ref/progress-0.5.stderr +++ b/test/train-sets/ref/progress-0.5.stderr @@ -9,24 +9,24 @@ num sources = 1 average since example example current current current loss last counter weight label predict features 1.000000 1.000000 1 1.0 1.0000 0.0000 51 -0.508353 0.016707 2 2.0 0.0000 0.1293 104 -0.346304 0.022206 3 3.0 0.0000 0.1490 57 -0.209216 0.003583 5 5.0 0.0000 0.0590 131 -0.242874 0.298972 8 8.0 0.0000 0.2086 146 -0.229431 0.202545 12 12.0 0.0000 0.2576 209 -0.254600 0.304939 18 18.0 0.0000 0.2418 29 -0.250139 0.241216 27 27.0 0.0000 0.2297 197 -0.229229 0.188902 41 41.0 0.0000 0.2481 20 -0.234869 0.245881 62 62.0 0.0000 0.4625 96 -0.216129 0.178649 93 93.0 1.0000 0.9731 58 -0.216509 0.217260 140 140.0 0.0000 0.4171 82 +0.513618 0.027236 2 2.0 0.0000 0.1650 104 +0.349751 0.022016 3 3.0 0.0000 0.1484 57 +0.211121 0.003176 5 5.0 0.0000 0.0559 131 +0.237739 0.282102 8 8.0 0.0000 0.2024 146 +0.217918 0.178278 12 12.0 0.0000 0.2456 209 +0.249520 0.312723 18 18.0 0.0000 0.2878 29 +0.246782 0.241307 27 27.0 0.0000 0.2217 197 +0.225381 0.184107 41 41.0 0.0000 0.2652 20 +0.235017 0.253830 62 62.0 0.0000 0.4044 96 +0.215733 0.177164 93 93.0 1.0000 0.9322 58 +0.218306 0.223399 140 140.0 0.0000 0.3486 82 finished run number of examples per pass = 200 passes used = 1 weighted example sum = 200 weighted label sum = 91 -average loss = 0.19509 +average loss = 0.19576 best constant = 0.455 best constant's loss = 0.247975 total feature number = 15482 |