diff options
| author | ariel faigon <github.2009@yendor.com> | 2014-01-06 00:26:26 +0400 |
|---|---|---|
| committer | ariel faigon <github.2009@yendor.com> | 2014-01-06 00:26:26 +0400 |
| commit | d21d2e2d4cd0773040eafda94e8571da8546449a (patch) | |
| tree | 5dfb7c516315602419d884d5c1d2520cabdeddc3 /test/test-sets/ref/0002c.stderr | |
| parent | eb8c92b7c70b609cbb47e42aa179b332d167c6c5 (diff) | |
Update all test suite references to new --progress checkpoints baseline
Diffstat (limited to 'test/test-sets/ref/0002c.stderr')
| -rw-r--r-- | test/test-sets/ref/0002c.stderr | 34 |
1 files changed, 18 insertions, 16 deletions
diff --git a/test/test-sets/ref/0002c.stderr b/test/test-sets/ref/0002c.stderr index fe805023..1c92222e 100644 --- a/test/test-sets/ref/0002c.stderr +++ b/test/test-sets/ref/0002c.stderr @@ -9,28 +9,30 @@ Reading datafile = train-sets/0002.dat num sources = 1 average since example example current current current loss last counter weight label predict features -0.003278 0.003278 3 3.0 0.5498 0.4854 15 -0.024311 0.045343 6 6.0 0.2681 0.5754 15 -0.025813 0.027616 11 11.0 0.4315 0.5104 15 -0.039711 0.053610 22 22.0 0.5519 0.4650 15 -0.029343 0.018975 44 44.0 0.5514 0.5169 15 -0.026609 0.023811 87 87.0 0.5140 0.4809 15 -0.023397 0.020186 174 174.0 0.5596 0.4550 15 -0.018322 0.013246 348 348.0 0.5475 0.4075 15 -0.015026 0.011730 696 696.0 0.3421 0.7545 15 -0.013894 0.012762 1392 1392.0 0.4996 0.4691 15 -0.011295 0.008697 2784 2784.0 0.5090 0.4428 15 -0.009821 0.008347 5568 5568.0 0.6413 0.7065 15 -0.008717 0.007612 11135 11135.0 0.3869 0.4381 15 -0.008073 0.007430 22269 22269.0 0.5063 0.4481 15 -0.011797 0.015520 44537 44537.0 0.4905 0.3865 15 +0.000467 0.000467 1 1.0 0.5211 0.4995 15 +0.002842 0.005217 2 2.0 0.5353 0.4630 15 +0.007702 0.012562 4 4.0 0.5854 0.4406 15 +0.028785 0.049867 8 8.0 0.5575 0.4416 15 +0.032253 0.035720 16 16.0 0.5878 0.4855 15 +0.034047 0.035842 32 32.0 0.6038 0.4583 15 +0.024334 0.014621 64 64.0 0.5683 0.5708 15 +0.023282 0.022231 128 128.0 0.5351 0.5344 15 +0.019781 0.016280 256 256.0 0.5385 0.4886 15 +0.015457 0.011133 512 512.0 0.5053 0.4525 15 +0.014354 0.013251 1024 1024.0 0.5750 0.5073 15 +0.012754 0.011154 2048 2048.0 0.5204 0.5022 15 +0.010477 0.008200 4096 4096.0 0.5042 0.4602 15 +0.009534 0.008590 8192 8192.0 0.4967 0.4661 15 +0.008238 0.006943 16384 16384.0 0.5011 0.5376 15 +0.009146 0.010054 32768 32768.0 0.3915 0.5790 15 +0.011080 0.013014 65536 65536.0 0.5043 0.4497 15 finished run number of examples per pass = 74746 passes used = 1 weighted example sum = 69521 weighted label sum = 35113.3 -average loss = 0.0106338 +average loss = 0.0106127 best constant = 0.505067 best constant's loss = 0.249974 total feature number = 1119986 |