diff options
| author | John Langford <jl@hunch.net> | 2012-12-05 23:16:07 +0400 |
|---|---|---|
| committer | John Langford <jl@hunch.net> | 2012-12-05 23:16:07 +0400 |
| commit | 9d847ed8a1ffdb5a6c395b5824aa72c90117d537 (patch) | |
| tree | 69411052737bdbe5f91986c4240e10279c84c946 /test/train-sets/ref/rcv1_small.stderr | |
| parent | a7cd4078439e2c30e07e0ae18e932da069874b9c (diff) | |
disabled -ffast-math for repeatability, updated reference files for new prng, tweak prng in nn
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 3cb0cca0..ae20dfd7 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 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 + 1 0.69315 0.01247 109.37472 165.25443 1072660.62500 0.66186 0.274 + 3 24.96379 0.09448 58.49782 -0.335275 -0.667864 (revise x 0.5) 0.33093 0.306 + 4 6.68890 0.07916 21.38882 -0.165651 -0.341257 (revise x 0.5) 0.16546 0.344 + 5 2.02595 0.05334 9.61256 -0.073645 -0.172136 (revise x 0.5) 0.08273 0.381 + 6 0.88609 0.02271 4.21489 -0.021323 -0.077380 (revise x 0.5) 0.04137 0.417 + 7 0.65787 0.00567 2.42293 0.007797 -0.022375 (revise x 0.5) 0.02068 0.454 + 8 0.64090 0.00109 2.53848 0.023094 0.007617 5.59308 1.00000 0.567 + 9 0.59157 0.00084 1.98471 0.939814 0.880475 449.76352 1.00000 0.700 +10 0.36198 0.00015 0.22195 0.590336 0.255459 123.06593 1.00000 0.854 +11 0.34817 0.00506 0.68001 0.218977 -0.427065 27.43107 1.00000 1.028 +12 0.32328 0.00029 0.08338 0.597309 0.217820 3.59894 1.00000 1.223 +13 0.31983 0.00001 0.04912 0.738430 0.480967 8.91300 1.00000 1.439 +14 0.31597 0.00006 0.04996 0.762546 0.528461 24.29691 1.00000 1.674 +15 0.31083 0.00018 0.05458 0.726800 0.455732 103.02377 1.00000 1.910 +16 0.29800 0.00004 0.01069 0.692397 0.384367 50.95499 1.00000 2.147 +17 0.29486 0.00000 0.00018 0.516694 0.031775 0.39482 1.00000 2.384 +18 0.29479 0.00000 0.00009 0.595950 0.192321 0.24618 1.00000 2.621 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 0.29476 0.00000 0.00003 0.619564 0.238334 0.15642 1.00000 4.763 +19 0.29476 0.00000 0.00003 0.619564 0.238334 0.15642 1.00000 2.884 |