diff options
| author | John Langford <jl@hunch.net> | 2012-02-11 04:34:53 +0400 |
|---|---|---|
| committer | John Langford <jl@hunch.net> | 2012-02-11 04:34:53 +0400 |
| commit | bd51be226e1a3830b5230bd7c41359213a518ce9 (patch) | |
| tree | ed71d29b9d772c2a7d78ab55b063d9248849553b /test/train-sets/ref/rcv1_small.stderr | |
| parent | a9b9f25cfb2ce264d7f22e38ee757579d42778c5 (diff) | |
added lbfgs tests
Diffstat (limited to 'test/train-sets/ref/rcv1_small.stderr')
| -rw-r--r-- | test/train-sets/ref/rcv1_small.stderr | 31 |
1 files changed, 31 insertions, 0 deletions
diff --git a/test/train-sets/ref/rcv1_small.stderr b/test/train-sets/ref/rcv1_small.stderr new file mode 100644 index 00000000..e5277210 --- /dev/null +++ b/test/train-sets/ref/rcv1_small.stderr @@ -0,0 +1,31 @@ +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 +power_t = 0.5 +decay_learning_rate = 1 +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 2.148 + 3 4.624629e-01 1.085869e-02 1.936935e+00 0.554592 0.194583 2.208660e+02 1.000000e+00 2.341 + 4 3.384483e-01 4.246153e-04 1.726574e-01 0.520733 0.133178 3.415247e+01 1.000000e+00 2.578 + 5 3.184994e-01 7.930468e-05 6.343691e-02 0.751656 0.517330 6.775453e+01 1.000000e+00 2.847 + 6 3.024582e-01 2.887344e-06 1.460970e-02 0.657158 0.328843 3.618753e+01 1.000000e+00 3.151 + 7 2.967627e-01 4.279800e-06 3.517536e-03 0.645592 0.293725 1.585137e+01 1.000000e+00 3.490 + 8 2.952703e-01 2.241742e-06 1.631616e-03 0.527831 0.052654 5.802384e+00 1.000000e+00 3.862 + 9 2.950591e-01 7.095230e-07 1.546882e-03 0.199875 -0.608861 7.389067e-01 1.000000e+00 4.266 +10 2.948347e-01 2.803388e-07 1.223610e-04 0.585414 0.171988 1.453116e-01 1.000000e+00 5.154 + + +finished run +number of examples = 200000 +weighted example sum = 2e+05 +weighted label sum = -1.272e+04 +average loss = 0.2911 +best constant = -0.06361 +total feature number = 15587880 |