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authorHal Daume III <me@hal3.name>2012-06-01 00:44:23 +0400
committerHal Daume III <me@hal3.name>2012-06-01 00:44:23 +0400
commita7151261249ec358e574d23fed13064a7281fd99 (patch)
tree99a85a6d74d162d3c7c0e41bacdaf774d28c4bcf /test/train-sets/ref/rcv1_small.stderr
parentda64b998b59e7e8e45d049d79dc70da4618363fe (diff)
more tests for searn, more refactoring
Diffstat (limited to 'test/train-sets/ref/rcv1_small.stderr')
-rw-r--r--test/train-sets/ref/rcv1_small.stderr24
1 files changed, 12 insertions, 12 deletions
diff --git a/test/train-sets/ref/rcv1_small.stderr b/test/train-sets/ref/rcv1_small.stderr
index fe58cb4a..8f5e861c 100644
--- a/test/train-sets/ref/rcv1_small.stderr
+++ b/test/train-sets/ref/rcv1_small.stderr
@@ -1,7 +1,4 @@
enabling BFGS based optimization **without** curvature calculation
-creating cache_file = train-sets/rcv1_small.dat.cache
-Reading from train-sets/rcv1_small.dat
-num sources = 1
Num weight bits = 20
learning rate = 10
initial_t = 1
@@ -11,15 +8,18 @@ using l2 regularization
m = 7
Allocated 72M for weights and mem
## avg. loss der. mag. d. m. cond. wolfe1 wolfe2 mix fraction curvature dir. magnitude step size time
- 1 6.931472e-01 1.859805e-03 3.768599e+00 3.414409e+01 1.977478e+04 1.103734e-01 2.119
- 3 4.624629e-01 1.085868e-02 1.936935e+00 0.554592 0.194583 2.208660e+02 1.000000e+00 2.656
- 4 3.384483e-01 4.246157e-04 1.726574e-01 0.520733 0.133178 3.415247e+01 1.000000e+00 3.323
- 5 3.184994e-01 7.930477e-05 6.343691e-02 0.751656 0.517330 6.775453e+01 1.000000e+00 4.025
- 6 3.024582e-01 2.887344e-06 1.460970e-02 0.657158 0.328843 3.618752e+01 1.000000e+00 5.114
- 7 2.967627e-01 4.279802e-06 3.517537e-03 0.645592 0.293725 1.585137e+01 1.000000e+00 6.356
- 8 2.952703e-01 2.241755e-06 1.631614e-03 0.527831 0.052654 5.802390e+00 1.000000e+00 7.734
- 9 2.950591e-01 7.095166e-07 1.546886e-03 0.199872 -0.608863 7.389087e-01 1.000000e+00 9.263
-10 2.948347e-01 2.803435e-07 1.223611e-04 0.585419 0.171988 1.453111e-01 1.000000e+00 12.281
+creating cache_file = train-sets/rcv1_small.dat.cache
+Reading from train-sets/rcv1_small.dat
+num sources = 1
+ 1 6.931472e-01 1.859805e-03 3.768599e+00 3.414409e+01 1.977478e+04 1.103734e-01 0.769
+ 3 4.624629e-01 1.085868e-02 1.936935e+00 0.554592 0.194583 2.208660e+02 1.000000e+00 0.934
+ 4 3.384483e-01 4.246157e-04 1.726574e-01 0.520733 0.133178 3.415247e+01 1.000000e+00 1.142
+ 5 3.184994e-01 7.930477e-05 6.343691e-02 0.751656 0.517330 6.775453e+01 1.000000e+00 1.394
+ 6 3.024582e-01 2.887344e-06 1.460970e-02 0.657158 0.328843 3.618752e+01 1.000000e+00 1.673
+ 7 2.967627e-01 4.279802e-06 3.517537e-03 0.645592 0.293725 1.585137e+01 1.000000e+00 1.984
+ 8 2.952703e-01 2.241755e-06 1.631614e-03 0.527831 0.052654 5.802390e+00 1.000000e+00 2.332
+ 9 2.950591e-01 7.095166e-07 1.546886e-03 0.199872 -0.608863 7.389087e-01 1.000000e+00 2.712
+10 2.948347e-01 2.803435e-07 1.223611e-04 0.585419 0.171988 1.453111e-01 1.000000e+00 3.432
finished run