diff options
author | ariel faigon <github.2009@yendor.com> | 2014-01-04 04:57:58 +0400 |
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committer | ariel faigon <github.2009@yendor.com> | 2014-01-04 04:57:58 +0400 |
commit | db2bd6dc5ce4974c6cbb32ba07bd3fc519f0d4b6 (patch) | |
tree | 568fd589548208f0350ab34884709a9974b3e6af /test/train-sets/ref/progress-0.5.stderr | |
parent | b3b1dea2577c9bf4ec1a0e5da297b0c1d9879141 (diff) |
Add reference files for --progress
Diffstat (limited to 'test/train-sets/ref/progress-0.5.stderr')
-rw-r--r-- | test/train-sets/ref/progress-0.5.stderr | 31 |
1 files changed, 31 insertions, 0 deletions
diff --git a/test/train-sets/ref/progress-0.5.stderr b/test/train-sets/ref/progress-0.5.stderr new file mode 100644 index 00000000..c1964753 --- /dev/null +++ b/test/train-sets/ref/progress-0.5.stderr @@ -0,0 +1,31 @@ +warning: multiplicative --progress <float>: 0.5 is <= 1.0: adding 1.0 +Num weight bits = 18 +learning rate = 0.5 +initial_t = 0 +power_t = 0.5 +using no cache +Reading datafile = train-sets/0001.dat +num sources = 1 +average since example example current current current +loss last counter weight label predict features +0.346304 0.346304 3 3.0 0.0000 0.1490 57 +0.209216 0.003583 5 5.0 0.0000 0.0590 131 +0.271357 0.426708 7 7.0 0.0000 0.0964 82 +0.265372 0.251409 10 10.0 1.0000 0.1663 34 +0.203393 0.048444 14 14.0 0.0000 0.2347 161 +0.264890 0.387886 21 21.0 1.0000 0.1311 37 +0.243365 0.198161 31 31.0 1.0000 0.5081 118 +0.220845 0.177213 47 47.0 0.0000 0.5093 46 +0.230530 0.250321 70 70.0 1.0000 0.4861 134 +0.221859 0.204516 105 105.0 0.0000 0.6008 48 +0.210383 0.187211 157 157.0 1.0000 0.9172 27 + +finished run +number of examples per pass = 200 +passes used = 1 +weighted example sum = 200 +weighted label sum = 91 +average loss = 0.19509 +best constant = 0.455 +best constant's loss = 0.247975 +total feature number = 15482 |