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authorariel faigon <github.2009@yendor.com>2014-01-04 04:57:58 +0400
committerariel faigon <github.2009@yendor.com>2014-01-04 04:57:58 +0400
commitdb2bd6dc5ce4974c6cbb32ba07bd3fc519f0d4b6 (patch)
tree568fd589548208f0350ab34884709a9974b3e6af /test/train-sets/ref/progress-0.5.stderr
parentb3b1dea2577c9bf4ec1a0e5da297b0c1d9879141 (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.stderr31
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