diff options
author | Hal Daume III <me@hal3.name> | 2012-06-03 01:08:39 +0400 |
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committer | Hal Daume III <me@hal3.name> | 2012-06-03 01:08:39 +0400 |
commit | 01fb051dcd0c60b1b272da89fbf39895a9007925 (patch) | |
tree | 754a5347be5a9b8e2b37118252bb3e52ad748de3 /test/train-sets/ref/rcv1_small.stderr | |
parent | ad497ea633085a88d068b79ea103753bd9d9dbde (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.stderr | 20 |
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 + |