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authorHal Daume III <me@hal3.name>2012-06-03 01:08:39 +0400
committerHal Daume III <me@hal3.name>2012-06-03 01:08:39 +0400
commit01fb051dcd0c60b1b272da89fbf39895a9007925 (patch)
tree754a5347be5a9b8e2b37118252bb3e52ad748de3 /test/train-sets/ref/rcv1_small.stderr
parentad497ea633085a88d068b79ea103753bd9d9dbde (diff)
fixed everything that john broke by double finishing
Diffstat (limited to 'test/train-sets/ref/rcv1_small.stderr')
-rw-r--r--test/train-sets/ref/rcv1_small.stderr20
1 files changed, 10 insertions, 10 deletions
diff --git a/test/train-sets/ref/rcv1_small.stderr b/test/train-sets/ref/rcv1_small.stderr
index e84a6b61..aca54a68 100644
--- a/test/train-sets/ref/rcv1_small.stderr
+++ b/test/train-sets/ref/rcv1_small.stderr
@@ -11,16 +11,14 @@ Allocated 72M for weights and mem
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 1.135
- 3 4.624629e-01 1.085868e-02 1.936935e+00 0.554592 0.194583 2.208660e+02 1.000000e+00 1.377
- 4 3.384483e-01 4.246153e-04 1.726574e-01 0.520733 0.133178 3.415247e+01 1.000000e+00 1.681
- 5 3.184994e-01 7.930471e-05 6.343691e-02 0.751656 0.517330 6.775453e+01 1.000000e+00 2.038
- 6 3.024582e-01 2.887344e-06 1.460970e-02 0.657158 0.328843 3.618753e+01 1.000000e+00 2.439
- 7 2.967627e-01 4.279800e-06 3.517537e-03 0.645592 0.293725 1.585137e+01 1.000000e+00 2.887
- 8 2.952703e-01 2.241742e-06 1.631613e-03 0.527831 0.052654 5.802388e+00 1.000000e+00 3.375
- 9 2.950591e-01 7.095246e-07 1.546885e-03 0.199874 -0.608862 7.389079e-01 1.000000e+00 3.909
-10 2.948347e-01 2.803461e-07 1.223612e-04 0.585417 0.171988 1.453114e-01 1.000000e+00 5.133
-
+ 1 6.931472e-01 1.859805e-03 3.768599e+00 3.414409e+01 1.977478e+04 1.103734e-01 3.538
+ 3 4.624629e-01 1.085868e-02 1.936935e+00 0.554592 0.194583 2.208660e+02 1.000000e+00 3.772
+ 4 3.384483e-01 4.246153e-04 1.726574e-01 0.520733 0.133178 3.415247e+01 1.000000e+00 4.077
+ 5 3.184994e-01 7.930471e-05 6.343691e-02 0.751656 0.517330 6.775453e+01 1.000000e+00 4.473
+ 6 3.024582e-01 2.887344e-06 1.460970e-02 0.657158 0.328843 3.618753e+01 1.000000e+00 4.865
+ 7 2.967627e-01 4.279800e-06 3.517537e-03 0.645592 0.293725 1.585137e+01 1.000000e+00 5.318
+ 8 2.952703e-01 2.241742e-06 1.631613e-03 0.527831 0.052654 5.802388e+00 1.000000e+00 6.174
+ 9 2.950591e-01 7.095246e-07 1.546885e-03 0.199874 -0.608862 7.389079e-01 1.000000e+00 6.741
finished run
number of examples = 200000
@@ -29,3 +27,5 @@ weighted label sum = -1.272e+04
average loss = 0.2911
best constant = -0.06361
total feature number = 15587880
+10 2.948347e-01 2.803461e-07 1.223612e-04 0.585417 0.171988 1.453114e-01 1.000000e+00 8.085
+