diff options
author | John Langford <jl@hunch.net> | 2012-11-28 22:28:08 +0400 |
---|---|---|
committer | John Langford <jl@hunch.net> | 2012-11-28 22:28:08 +0400 |
commit | 3bc308eabd02931d25088b83d15648695cb60bff (patch) | |
tree | 2500b46c6c184b1defabc2ed3950518fa310052f /test/train-sets/ref/rcv1_small.stderr | |
parent | 5c2a6d751efdb3fe91f5254cf49280af7549d229 (diff) |
lbfgs floating point to fixed point printout conversion
Diffstat (limited to 'test/train-sets/ref/rcv1_small.stderr')
-rw-r--r-- | test/train-sets/ref/rcv1_small.stderr | 36 |
1 files changed, 18 insertions, 18 deletions
diff --git a/test/train-sets/ref/rcv1_small.stderr b/test/train-sets/ref/rcv1_small.stderr index d4dac43e..3cb0cca0 100644 --- a/test/train-sets/ref/rcv1_small.stderr +++ b/test/train-sets/ref/rcv1_small.stderr @@ -11,23 +11,23 @@ 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 1.247013e-02 1.093747e+02 1.652544e+02 1.072661e+06 6.618564e-01 0.289 - 3 2.496379e+01 9.448176e-02 5.849782e+01 -0.335275 -0.667864 (revise x 0.5) 3.309282e-01 0.321 - 4 6.688902e+00 7.916274e-02 2.138882e+01 -0.165651 -0.341257 (revise x 0.5) 1.654641e-01 0.362 - 5 2.025952e+00 5.333706e-02 9.612557e+00 -0.073645 -0.172136 (revise x 0.5) 8.273205e-02 0.403 - 6 8.860910e-01 2.270515e-02 4.214893e+00 -0.021323 -0.077380 (revise x 0.5) 4.136603e-02 0.443 - 7 6.578700e-01 5.668358e-03 2.422930e+00 0.007797 -0.022375 (revise x 0.5) 2.068301e-02 0.485 - 8 6.409029e-01 1.090401e-03 2.538482e+00 0.023094 0.007617 5.593078e+00 1.000000e+00 0.595 - 9 5.915731e-01 8.417667e-04 1.984715e+00 0.939814 0.880475 4.497635e+02 1.000000e+00 0.733 -10 3.619765e-01 1.536667e-04 2.219506e-01 0.590336 0.255459 1.230659e+02 1.000000e+00 0.896 -11 3.481746e-01 5.063765e-03 6.800128e-01 0.218977 -0.427065 2.743107e+01 1.000000e+00 1.078 -12 3.232802e-01 2.902376e-04 8.337535e-02 0.597309 0.217820 3.598937e+00 1.000000e+00 1.283 -13 3.198322e-01 1.480065e-05 4.911858e-02 0.738430 0.480967 8.913005e+00 1.000000e+00 1.514 -14 3.159695e-01 5.730583e-05 4.996126e-02 0.762546 0.528461 2.429691e+01 1.000000e+00 1.773 -15 3.108274e-01 1.807561e-04 5.458046e-02 0.726800 0.455732 1.030238e+02 1.000000e+00 2.041 -16 2.980001e-01 3.906264e-05 1.068944e-02 0.692397 0.384367 5.095499e+01 1.000000e+00 2.294 -17 2.948572e-01 6.621593e-08 1.792561e-04 0.516694 0.031775 3.948198e-01 1.000000e+00 2.545 -18 2.947937e-01 1.091626e-07 8.738563e-05 0.595950 0.192321 2.461794e-01 1.000000e+00 2.796 + 1 0.69315 0.01247 109.37472 165.25443 1072660.62500 0.66186 0.766 + 3 24.96379 0.09448 58.49782 -0.335275 -0.667864 (revise x 0.5) 0.33093 0.852 + 4 6.68890 0.07916 21.38882 -0.165651 -0.341257 (revise x 0.5) 0.16546 0.966 + 5 2.02595 0.05334 9.61256 -0.073645 -0.172136 (revise x 0.5) 0.08273 1.093 + 6 0.88609 0.02271 4.21489 -0.021323 -0.077380 (revise x 0.5) 0.04137 1.227 + 7 0.65787 0.00567 2.42293 0.007797 -0.022375 (revise x 0.5) 0.02068 1.372 + 8 0.64090 0.00109 2.53848 0.023094 0.007617 5.59308 1.00000 1.636 + 9 0.59157 0.00084 1.98471 0.939814 0.880475 449.76352 1.00000 1.932 +10 0.36198 0.00015 0.22195 0.590336 0.255459 123.06593 1.00000 2.188 +11 0.34817 0.00506 0.68001 0.218977 -0.427065 27.43107 1.00000 2.386 +12 0.32328 0.00029 0.08338 0.597309 0.217820 3.59894 1.00000 2.627 +13 0.31983 0.00001 0.04912 0.738430 0.480967 8.91300 1.00000 2.902 +14 0.31597 0.00006 0.04996 0.762546 0.528461 24.29691 1.00000 3.194 +15 0.31083 0.00018 0.05458 0.726800 0.455732 103.02377 1.00000 3.502 +16 0.29800 0.00004 0.01069 0.692397 0.384367 50.95499 1.00000 3.810 +17 0.29486 0.00000 0.00018 0.516694 0.031775 0.39482 1.00000 4.115 +18 0.29479 0.00000 0.00009 0.595950 0.192321 0.24618 1.00000 4.427 finished run number of examples = 200000 @@ -36,5 +36,5 @@ weighted label sum = -1.272e+04 average loss = 0.4485 best constant = -0.06361 total feature number = 15587880 -19 2.947603e-01 1.980417e-08 3.041856e-05 0.619564 0.238334 1.564171e-01 1.000000e+00 3.075 +19 0.29476 0.00000 0.00003 0.619564 0.238334 0.15642 1.00000 4.763 |