——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 120
– Total CPU time: 6.350000
– Total kernel evaluations: 2041911
– Total inner solver iterations: 62345
– Total projector iterations: 316587
– Total preparation time: 0.300000
– Total inner solver time: 5.500000
– Total gradient updating time: 0.210000
– Objective function value: -5699.250660
– SV = 5766
– BSV = 5650
– Threshold b = 1.7789981
TRAINING PARAMETERS:
Training file: datasets/a7a
Number of training documents: 16100
Model file: datasets/a7a.out
q: 250
n: 82
C: 1.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 170
– Total CPU time: 52.230000
– Total kernel evaluations: 2889583
– Total inner solver iterations: 564386
– Total projector iterations: 2678827
– Total preparation time: 0.410000
– Total inner solver time: 51.090000
– Total gradient updating time: 0.340000
– Objective function value: -56875.578661
– SV = 5757
– BSV = 5629
– Threshold b = 1.802115
TRAINING PARAMETERS:
Training file: datasets/a7a
Number of training documents: 16100
Model file: datasets/a7a.out
q: 250
n: 82
C: 10.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 217
– Total CPU time: 400.890000
– Total kernel evaluations: 3714292
– Total inner solver iterations: 4428660
– Total projector iterations: 20036784
– Total preparation time: 0.560000
– Total inner solver time: 399.360000
– Total gradient updating time: 0.410000
– Objective function value: -568626.882866
– SV = 5755
– BSV = 5631
– Threshold b = 1.8024634
TRAINING PARAMETERS:
Training file: datasets/a7a
Number of training documents: 16100
Model file: datasets/a7a.out
q: 250
n: 82
C: 100.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 229
– Total CPU time: 3679.050000
– Total kernel evaluations: 3936029
– Total inner solver iterations: 40736826
– Total projector iterations: 182584938
– Total preparation time: 0.500000
– Total inner solver time: 3677.400000
– Total gradient updating time: 0.530000
– Objective function value: -5686141.091968
– SV = 5758
– BSV = 5631
– Threshold b = 1.8080527
TRAINING PARAMETERS:
Training file: datasets/a7a
Number of training documents: 16100
Model file: datasets/a7a.out
q: 250
n: 82
C: 1000.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 53
– Total CPU time: 21.520000
– Total kernel evaluations: 121906520
– Total inner solver iterations: 2550
– Total projector iterations: 14439
– Total preparation time: 0.590000
– Total inner solver time: 0.420000
– Total gradient updating time: 20.370000
– Objective function value: -5899.070838
– SV = 6175
– BSV = 6053
– Threshold b = 0.53433475
TRAINING PARAMETERS:
Training file: datasets/a7a
Number of training documents: 16100
Model file: datasets/a7a.out
q: 450
n: 150
C: 1.000000
kernel type: 2
kernel parameter -g: 0.0081967213
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 55
– Total CPU time: 24.090000
– Total kernel evaluations: 124841766
– Total inner solver iterations: 9704
– Total projector iterations: 40215
– Total preparation time: 0.600000
– Total inner solver time: 2.250000
– Total gradient updating time: 21.090000
– Objective function value: -55195.294140
– SV = 5835
– BSV = 5535
– Threshold b = -0.22797893
TRAINING PARAMETERS:
Training file: datasets/a7a
Number of training documents: 16100
Model file: datasets/a7a.out
q: 450
n: 150
C: 10.000000
kernel type: 2
kernel parameter -g: 0.0081967213
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 91
– Total CPU time: 49.650000
– Total kernel evaluations: 171010636
– Total inner solver iterations: 52908
– Total projector iterations: 195602
– Total preparation time: 0.850000
– Total inner solver time: 18.530000
– Total gradient updating time: 29.960000
– Objective function value: -506954.068298
– SV = 5771
– BSV = 4911
– Threshold b = -1.1401316
TRAINING PARAMETERS:
Training file: datasets/a7a
Number of training documents: 16100
Model file: datasets/a7a.out
q: 450
n: 150
C: 100.000000
kernel type: 2
kernel parameter -g: 0.0081967213
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
Inner tolerance temporary changed to: 1.000000e-04
Inner tolerance temporary changed to: 1.000000e-04
Inner tolerance temporary changed to: 1.000000e-04
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 561
– Total CPU time: 402.530000
– Total kernel evaluations: 1069707769
– Total inner solver iterations: 392673
– Total projector iterations: 1215094
– Total preparation time: 5.460000
– Total inner solver time: 206.320000
– Total gradient updating time: 189.140000
– Objective function value: -4380314.030831
– SV = 5891
– BSV = 3957
– Threshold b = -2.4793246
TRAINING PARAMETERS:
Training file: datasets/a7a
Number of training documents: 16100
Model file: datasets/a7a.out
q: 450
n: 150
C: 1000.000000
kernel type: 2
kernel parameter -g: 0.0081967213
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 59
– Total CPU time: 20.770000
– Total kernel evaluations: 143436975
– Total inner solver iterations: 895
– Total projector iterations: 9553
– Total preparation time: 0.510000
– Total inner solver time: 0.240000
– Total gradient updating time: 19.890000
– Objective function value: -7720.477821
– SV = 7892
– BSV = 7790
– Threshold b = 0.98192327
TRAINING PARAMETERS:
Training file: datasets/a7a
Number of training documents: 16100
Model file: datasets/a7a.out
q: 450
n: 150
C: 1.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0081967213
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 57
– Total CPU time: 20.110000
– Total kernel evaluations: 139271437
– Total inner solver iterations: 1349
– Total projector iterations: 10236
– Total preparation time: 0.430000
– Total inner solver time: 0.380000
– Total gradient updating time: 19.140000
– Objective function value: -67778.168723
– SV = 7564
– BSV = 7389
– Threshold b = 0.87140544
TRAINING PARAMETERS:
Training file: datasets/a7a
Number of training documents: 16100
Model file: datasets/a7a.out
q: 450
n: 150
C: 10.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0081967213
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 56
– Total CPU time: 19.340000
– Total kernel evaluations: 129527528
– Total inner solver iterations: 2632
– Total projector iterations: 12783
– Total preparation time: 0.470000
– Total inner solver time: 0.690000
– Total gradient updating time: 18.060000
– Objective function value: -569368.247924
– SV = 6318
– BSV = 5794
– Threshold b = 0.83732077
TRAINING PARAMETERS:
Training file: datasets/a7a
Number of training documents: 16100
Model file: datasets/a7a.out
q: 450
n: 150
C: 100.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0081967213
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 94
– Total CPU time: 34.620000
– Total kernel evaluations: 209344201
– Total inner solver iterations: 8573
– Total projector iterations: 29402
– Total preparation time: 0.800000
– Total inner solver time: 3.470000
– Total gradient updating time: 30.110000
– Objective function value: -4897076.256008
– SV = 6091
– BSV = 4692
– Threshold b = 0.81599513
TRAINING PARAMETERS:
Training file: datasets/a7a
Number of training documents: 16100
Model file: datasets/a7a.out
q: 450
n: 150
C: 1000.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0081967213
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 171
– Total CPU time: 10.650000
– Total kernel evaluations: 2932064
– Total inner solver iterations: 98318
– Total projector iterations: 492731
– Total preparation time: 0.450000
– Total inner solver time: 9.090000
– Total gradient updating time: 0.430000
– Objective function value: -8062.407097
– SV = 8141
– BSV = 8009
– Threshold b = 1.6110296
TRAINING PARAMETERS:
Training file: datasets/a8a
Number of training documents: 22696
Model file: datasets/a8a.out
q: 250
n: 82
C: 1.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 259
– Total CPU time: 80.830000
– Total kernel evaluations: 4460260
– Total inner solver iterations: 846762
– Total projector iterations: 3825903
– Total preparation time: 0.600000
– Total inner solver time: 78.480000
– Total gradient updating time: 0.670000
– Objective function value: -80514.292246
– SV = 8133
– BSV = 7968
– Threshold b = 1.6744623
TRAINING PARAMETERS:
Training file: datasets/a8a
Number of training documents: 22696
Model file: datasets/a8a.out
q: 250
n: 82
C: 10.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 340
– Total CPU time: 649.740000
– Total kernel evaluations: 5860115
– Total inner solver iterations: 6989174
– Total projector iterations: 30300330
– Total preparation time: 0.860000
– Total inner solver time: 646.680000
– Total gradient updating time: 0.970000
– Objective function value: -805020.867146
– SV = 8131
– BSV = 7979
– Threshold b = 1.6814698
TRAINING PARAMETERS:
Training file: datasets/a8a
Number of training documents: 22696
Model file: datasets/a8a.out
q: 250
n: 82
C: 100.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
Dai-Fletcher method exits after maxvpm = 3000000 iterations.
Dai-Fletcher method exits after maxvpm = 3000000 iterations.
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 366
– Total CPU time: 6022.270000
– Total kernel evaluations: 6324443
– Total inner solver iterations: 66502476
– Total projector iterations: 281461347
– Total preparation time: 0.860000
– Total inner solver time: 6018.950000
– Total gradient updating time: 1.100000
– Objective function value: -8050084.533977
– SV = 8129
– BSV = 7968
– Threshold b = 1.6843124
TRAINING PARAMETERS:
Training file: datasets/a8a
Number of training documents: 22696
Model file: datasets/a8a.out
q: 250
n: 82
C: 1000.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 73
– Total CPU time: 44.010000
– Total kernel evaluations: 240357338
– Total inner solver iterations: 3485
– Total projector iterations: 19404
– Total preparation time: 0.840000
– Total inner solver time: 0.530000
– Total gradient updating time: 42.380000
– Objective function value: -8249.503968
– SV = 8557
– BSV = 8436
– Threshold b = 0.48334343
TRAINING PARAMETERS:
Training file: datasets/a8a
Number of training documents: 22696
Model file: datasets/a8a.out
q: 450
n: 150
C: 1.000000
kernel type: 2
kernel parameter -g: 0.0081300813
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 78
– Total CPU time: 48.650000
– Total kernel evaluations: 248223033
– Total inner solver iterations: 14848
– Total projector iterations: 59660
– Total preparation time: 0.880000
– Total inner solver time: 3.660000
– Total gradient updating time: 43.830000
– Objective function value: -77831.158453
– SV = 8207
– BSV = 7790
– Threshold b = -0.046799462
TRAINING PARAMETERS:
Training file: datasets/a8a
Number of training documents: 22696
Model file: datasets/a8a.out
q: 450
n: 150
C: 10.000000
kernel type: 2
kernel parameter -g: 0.0081300813
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 155
– Total CPU time: 121.290000
– Total kernel evaluations: 484205762
– Total inner solver iterations: 85245
– Total projector iterations: 278172
– Total preparation time: 1.690000
– Total inner solver time: 29.780000
– Total gradient updating time: 89.180000
– Objective function value: -722408.552590
– SV = 8070
– BSV = 6984
– Threshold b = -0.013488531
TRAINING PARAMETERS:
Training file: datasets/a8a
Number of training documents: 22696
Model file: datasets/a8a.out
q: 450
n: 150
C: 100.000000
kernel type: 2
kernel parameter -g: 0.0081300813
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
Inner tolerance temporary changed to: 1.000000e-04
Inner tolerance changed to: 0.000500
Inner tolerance changed to: 0.000250
Inner tolerance changed to: 0.000125
Inner tolerance changed to: 0.000100
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 1074
– Total CPU time: 874.340000
– Total kernel evaluations: 3017041934
– Total inner solver iterations: 661037
– Total projector iterations: 1914110
– Total preparation time: 11.050000
– Total inner solver time: 294.100000
– Total gradient updating time: 564.820000
– Objective function value: -6393677.305006
– SV = 8224
– BSV = 5847
– Threshold b = -0.92830709
TRAINING PARAMETERS:
Training file: datasets/a8a
Number of training documents: 22696
Model file: datasets/a8a.out
q: 450
n: 150
C: 1000.000000
kernel type: 2
kernel parameter -g: 0.0081300813
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 83
– Total CPU time: 42.670000
– Total kernel evaluations: 280174346
– Total inner solver iterations: 1153
– Total projector iterations: 12258
– Total preparation time: 0.760000
– Total inner solver time: 0.350000
– Total gradient updating time: 41.300000
– Objective function value: -10797.570783
– SV = 11092
– BSV = 10942
– Threshold b = 0.97466918
TRAINING PARAMETERS:
Training file: datasets/a8a
Number of training documents: 22696
Model file: datasets/a8a.out
q: 450
n: 150
C: 1.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0081300813
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 78
– Total CPU time: 40.740000
– Total kernel evaluations: 267677742
– Total inner solver iterations: 1963
– Total projector iterations: 14427
– Total preparation time: 0.720000
– Total inner solver time: 0.450000
– Total gradient updating time: 39.270000
– Objective function value: -92870.588420
– SV = 10263
– BSV = 10039
– Threshold b = 0.85743449
TRAINING PARAMETERS:
Training file: datasets/a8a
Number of training documents: 22696
Model file: datasets/a8a.out
q: 450
n: 150
C: 10.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0081300813
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 77
– Total CPU time: 40.420000
– Total kernel evaluations: 260631906
– Total inner solver iterations: 3701
– Total projector iterations: 17980
– Total preparation time: 0.650000
– Total inner solver time: 1.000000
– Total gradient updating time: 38.480000
– Objective function value: -796649.407910
– SV = 8730
– BSV = 8074
– Threshold b = 0.81591892
TRAINING PARAMETERS:
Training file: datasets/a8a
Number of training documents: 22696
Model file: datasets/a8a.out
q: 450
n: 150
C: 100.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0081300813
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 151
– Total CPU time: 84.090000
– Total kernel evaluations: 505154267
– Total inner solver iterations: 13269
– Total projector iterations: 45016
– Total preparation time: 1.280000
– Total inner solver time: 5.680000
– Total gradient updating time: 76.610000
– Objective function value: -6986202.669529
– SV = 8489
– BSV = 6633
– Threshold b = 0.76558633
TRAINING PARAMETERS:
Training file: datasets/a8a
Number of training documents: 22696
Model file: datasets/a8a.out
q: 450
n: 150
C: 1000.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0081300813
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 257
– Total CPU time: 17.650000
– Total kernel evaluations: 4446527
– Total inner solver iterations: 151407
– Total projector iterations: 732696
– Total preparation time: 0.720000
– Total inner solver time: 14.250000
– Total gradient updating time: 1.250000
– Objective function value: -11433.386942
– SV = 11546
– BSV = 11318
– Threshold b = 1.5692328
TRAINING PARAMETERS:
Training file: datasets/a9a
Number of training documents: 32561
Model file: datasets/a9a.out
q: 250
n: 82
C: 1.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 423
– Total CPU time: 129.940000
– Total kernel evaluations: 7311537
– Total inner solver iterations: 1344293
– Total projector iterations: 5980805
– Total preparation time: 1.060000
– Total inner solver time: 124.470000
– Total gradient updating time: 1.920000
– Objective function value: -114237.471650
– SV = 11537
– BSV = 11354
– Threshold b = 1.6150414
TRAINING PARAMETERS:
Training file: datasets/a9a
Number of training documents: 32561
Model file: datasets/a9a.out
q: 250
n: 82
C: 10.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 546
– Total CPU time: 1009.960000
– Total kernel evaluations: 9445250
– Total inner solver iterations: 10889677
– Total projector iterations: 47457845
– Total preparation time: 1.570000
– Total inner solver time: 1002.760000
– Total gradient updating time: 2.730000
– Objective function value: -1142270.677400
– SV = 11507
– BSV = 11343
– Threshold b = 1.622076
TRAINING PARAMETERS:
Training file: datasets/a9a
Number of training documents: 32561
Model file: datasets/a9a.out
q: 250
n: 82
C: 100.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
Dai-Fletcher method exits after maxvpm = 3000000 iterations.
Dai-Fletcher method exits after maxvpm = 3000000 iterations.
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 619
– Total CPU time: 9951.950000
– Total kernel evaluations: 10552620
– Total inner solver iterations: 107291991
– Total projector iterations: 443813262
– Total preparation time: 1.690000
– Total inner solver time: 9943.820000
– Total gradient updating time: 3.030000
– Objective function value: -11422601.171523
– SV = 11511
– BSV = 11331
– Threshold b = 1.6248048
TRAINING PARAMETERS:
Training file: datasets/a9a
Number of training documents: 32561
Model file: datasets/a9a.out
q: 250
n: 82
C: 1000.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 102
– Total CPU time: 112.790000
– Total kernel evaluations: 498514356
– Total inner solver iterations: 5442
– Total projector iterations: 30243
– Total preparation time: 1.360000
– Total inner solver time: 1.070000
– Total gradient updating time: 109.790000
– Objective function value: -11596.355118
– SV = 12019
– BSV = 11810
– Threshold b = 0.38899895
TRAINING PARAMETERS:
Training file: datasets/a9a
Number of training documents: 32561
Model file: datasets/a9a.out
q: 450
n: 150
C: 1.000000
kernel type: 2
kernel parameter -g: 0.0081300813
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 113
– Total CPU time: 135.810000
– Total kernel evaluations: 573563075
– Total inner solver iterations: 21391
– Total projector iterations: 83260
– Total preparation time: 1.540000
– Total inner solver time: 6.470000
– Total gradient updating time: 127.180000
– Objective function value: -110168.548905
– SV = 11586
– BSV = 11000
– Threshold b = 0.088085313
TRAINING PARAMETERS:
Training file: datasets/a9a
Number of training documents: 32561
Model file: datasets/a9a.out
q: 450
n: 150
C: 10.000000
kernel type: 2
kernel parameter -g: 0.0081300813
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 251
– Total CPU time: 425.620000
– Total kernel evaluations: 1637924255
– Total inner solver iterations: 136677
– Total projector iterations: 469149
– Total preparation time: 3.320000
– Total inner solver time: 55.420000
– Total gradient updating time: 365.490000
– Objective function value: -1036083.049439
– SV = 11466
– BSV = 9997
– Threshold b = 0.22649909
TRAINING PARAMETERS:
Training file: datasets/a9a
Number of training documents: 32561
Model file: datasets/a9a.out
q: 450
n: 150
C: 100.000000
kernel type: 2
kernel parameter -g: 0.0081300813
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
Inner tolerance temporary changed to: 1.000000e-04
Inner tolerance changed to: 0.000500
Inner tolerance changed to: 0.000250
Inner tolerance changed to: 0.000125
Inner tolerance changed to: 0.000100
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 2198
– Total CPU time: 4584.310000
– Total kernel evaluations: 15599983086
– Total inner solver iterations: 1194930
– Total projector iterations: 3388398
– Total preparation time: 29.960000
– Total inner solver time: 598.060000
– Total gradient updating time: 3942.270000
– Objective function value: -9390000.025150
– SV = 11759
– BSV = 8573
– Threshold b = -1.6160973
TRAINING PARAMETERS:
Training file: datasets/a9a
Number of training documents: 32561
Model file: datasets/a9a.out
q: 450
n: 150
C: 1000.000000
kernel type: 2
kernel parameter -g: 0.0081300813
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 119
– Total CPU time: 149.240000
– Total kernel evaluations: 662645620
– Total inner solver iterations: 1677
– Total projector iterations: 17497
– Total preparation time: 1.380000
– Total inner solver time: 0.430000
– Total gradient updating time: 146.680000
– Objective function value: -15243.504083
– SV = 15758
– BSV = 15615
– Threshold b = 0.96304967
TRAINING PARAMETERS:
Training file: datasets/a9a
Number of training documents: 32561
Model file: datasets/a9a.out
q: 450
n: 150
C: 1.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0081300813
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 107
– Total CPU time: 127.860000
– Total kernel evaluations: 572554122
– Total inner solver iterations: 2558
– Total projector iterations: 18088
– Total preparation time: 1.250000
– Total inner solver time: 0.640000
– Total gradient updating time: 125.280000
– Objective function value: -128316.403498
– SV = 14034
– BSV = 13717
– Threshold b = 0.84409737
TRAINING PARAMETERS:
Training file: datasets/a9a
Number of training documents: 32561
Model file: datasets/a9a.out
q: 450
n: 150
C: 10.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0081300813
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 110
– Total CPU time: 133.150000
– Total kernel evaluations: 631458412
– Total inner solver iterations: 6007
– Total projector iterations: 28104
– Total preparation time: 1.240000
– Total inner solver time: 2.400000
– Total gradient updating time: 128.930000
– Objective function value: -1119764.274369
– SV = 12185
– BSV = 11305
– Threshold b = 0.82704188
TRAINING PARAMETERS:
Training file: datasets/a9a
Number of training documents: 32561
Model file: datasets/a9a.out
q: 450
n: 150
C: 100.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0081300813
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
Inner tolerance changed to: 0.000500
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 290
– Total CPU time: 413.620000
– Total kernel evaluations: 2096220607
– Total inner solver iterations: 23843
– Total projector iterations: 80453
– Total preparation time: 3.010000
– Total inner solver time: 9.480000
– Total gradient updating time: 399.250000
– Objective function value: -10003494.125343
– SV = 12039
– BSV = 9419
– Threshold b = 0.78621716
TRAINING PARAMETERS:
Training file: datasets/a9a
Number of training documents: 32561
Model file: datasets/a9a.out
q: 450
n: 150
C: 1000.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0081300813
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 201
– Total CPU time: 7.330000
– Total kernel evaluations: 3431346
– Total inner solver iterations: 60184
– Total projector iterations: 347967
– Total preparation time: 0.480000
– Total inner solver time: 3.740000
– Total gradient updating time: 1.390000
– Objective function value: -8590.157121
– SV = 8667
– BSV = 8619
– Threshold b = 1.0852663
TRAINING PARAMETERS:
Training file: datasets/ijcnn1
Number of training documents: 49990
Model file: datasets/ijcnn1.out
q: 250
n: 82
C: 1.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 252
– Total CPU time: 27.080000
– Total kernel evaluations: 4336511
– Total inner solver iterations: 375250
– Total projector iterations: 1954816
– Total preparation time: 0.570000
– Total inner solver time: 22.530000
– Total gradient updating time: 1.790000
– Objective function value: -85440.979634
– SV = 8569
– BSV = 8532
– Threshold b = 1.0682535
TRAINING PARAMETERS:
Training file: datasets/ijcnn1
Number of training documents: 49990
Model file: datasets/ijcnn1.out
q: 250
n: 82
C: 10.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 322
– Total CPU time: 185.360000
– Total kernel evaluations: 5503105
– Total inner solver iterations: 2968763
– Total projector iterations: 14726362
– Total preparation time: 0.790000
– Total inner solver time: 179.650000
– Total gradient updating time: 2.150000
– Objective function value: -853925.759673
– SV = 8562
– BSV = 8519
– Threshold b = 1.0672944
TRAINING PARAMETERS:
Training file: datasets/ijcnn1
Number of training documents: 49990
Model file: datasets/ijcnn1.out
q: 250
n: 82
C: 100.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 282
– Total CPU time: 1395.320000
– Total kernel evaluations: 4865895
– Total inner solver iterations: 21797479
– Total projector iterations: 108665145
– Total preparation time: 0.740000
– Total inner solver time: 1390.360000
– Total gradient updating time: 1.730000
– Objective function value: -8538768.868464
– SV = 8558
– BSV = 8520
– Threshold b = 1.0672322
TRAINING PARAMETERS:
Training file: datasets/ijcnn1
Number of training documents: 49990
Model file: datasets/ijcnn1.out
q: 250
n: 82
C: 1000.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 85
– Total CPU time: 101.460000
– Total kernel evaluations: 591626401
– Total inner solver iterations: 7145
– Total projector iterations: 58438
– Total preparation time: 0.980000
– Total inner solver time: 1.250000
– Total gradient updating time: 98.470000
– Objective function value: -8148.187334
– SV = 8981
– BSV = 8920
– Threshold b = 1.6513286
TRAINING PARAMETERS:
Training file: datasets/ijcnn1
Number of training documents: 49990
Model file: datasets/ijcnn1.out
q: 450
n: 150
C: 1.000000
kernel type: 2
kernel parameter -g: 0.045454545
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 87
– Total CPU time: 97.030000
– Total kernel evaluations: 544768874
– Total inner solver iterations: 28907
– Total projector iterations: 211052
– Total preparation time: 0.970000
– Total inner solver time: 4.620000
– Total gradient updating time: 90.710000
– Objective function value: -61036.540860
– SV = 7084
– BSV = 7004
– Threshold b = 3.8870853
TRAINING PARAMETERS:
Training file: datasets/ijcnn1
Number of training documents: 49990
Model file: datasets/ijcnn1.out
q: 450
n: 150
C: 10.000000
kernel type: 2
kernel parameter -g: 0.045454545
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 80
– Total CPU time: 97.800000
– Total kernel evaluations: 421549004
– Total inner solver iterations: 145499
– Total projector iterations: 994646
– Total preparation time: 0.910000
– Total inner solver time: 25.660000
– Total gradient updating time: 70.500000
– Objective function value: -418362.839758
– SV = 4937
– BSV = 4796
– Threshold b = 14.312438
TRAINING PARAMETERS:
Training file: datasets/ijcnn1
Number of training documents: 49990
Model file: datasets/ijcnn1.out
q: 450
n: 150
C: 100.000000
kernel type: 2
kernel parameter -g: 0.045454545
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 65
– Total CPU time: 232.080000
– Total kernel evaluations: 380291875
– Total inner solver iterations: 716265
– Total projector iterations: 4275642
– Total preparation time: 0.740000
– Total inner solver time: 166.440000
– Total gradient updating time: 64.340000
– Objective function value: -2971165.282858
– SV = 3480
– BSV = 3245
– Threshold b = 21.069942
TRAINING PARAMETERS:
Training file: datasets/ijcnn1
Number of training documents: 49990
Model file: datasets/ijcnn1.out
q: 450
n: 150
C: 1000.000000
kernel type: 2
kernel parameter -g: 0.045454545
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 88
– Total CPU time: 104.290000
– Total kernel evaluations: 735966829
– Total inner solver iterations: 1469
– Total projector iterations: 17525
– Total preparation time: 0.720000
– Total inner solver time: 0.330000
– Total gradient updating time: 102.520000
– Objective function value: -9693.422795
– SV = 9795
– BSV = 9652
– Threshold b = 1.0002741
TRAINING PARAMETERS:
Training file: datasets/ijcnn1
Number of training documents: 49990
Model file: datasets/ijcnn1.out
q: 450
n: 150
C: 1.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.045454545
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 102
– Total CPU time: 116.410000
– Total kernel evaluations: 819274141
– Total inner solver iterations: 3175
– Total projector iterations: 28730
– Total preparation time: 0.850000
– Total inner solver time: 0.760000
– Total gradient updating time: 113.920000
– Objective function value: -95821.714612
– SV = 9924
– BSV = 9545
– Threshold b = 1.0022653
TRAINING PARAMETERS:
Training file: datasets/ijcnn1
Number of training documents: 49990
Model file: datasets/ijcnn1.out
q: 450
n: 150
C: 10.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.045454545
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 96
– Total CPU time: 103.320000
– Total kernel evaluations: 726489119
– Total inner solver iterations: 5481
– Total projector iterations: 33279
– Total preparation time: 0.760000
– Total inner solver time: 0.980000
– Total gradient updating time: 100.740000
– Objective function value: -854438.151385
– SV = 9582
– BSV = 9388
– Threshold b = 1.0207068
TRAINING PARAMETERS:
Training file: datasets/ijcnn1
Number of training documents: 49990
Model file: datasets/ijcnn1.out
q: 450
n: 150
C: 100.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.045454545
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 90
– Total CPU time: 94.240000
– Total kernel evaluations: 633955717
– Total inner solver iterations: 21137
– Total projector iterations: 100497
– Total preparation time: 0.770000
– Total inner solver time: 3.890000
– Total gradient updating time: 88.860000
– Objective function value: -6077587.618220
– SV = 7319
– BSV = 7050
– Threshold b = 1.0391432
TRAINING PARAMETERS:
Training file: datasets/ijcnn1
Number of training documents: 49990
Model file: datasets/ijcnn1.out
q: 450
n: 150
C: 1000.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.045454545
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 67
– Total CPU time: 3.500000
– Total kernel evaluations: 1059321
– Total inner solver iterations: 23068
– Total projector iterations: 100645
– Total preparation time: 0.090000
– Total inner solver time: 2.860000
– Total gradient updating time: 0.260000
– Objective function value: -765.410284
– SV = 1030
– BSV = 686
– Threshold b = 1.0288505
TRAINING PARAMETERS:
Training file: datasets/w7a
Number of training documents: 24692
Model file: datasets/w7a.out
q: 250
n: 82
C: 1.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 210
– Total CPU time: 29.560000
– Total kernel evaluations: 3219410
– Total inner solver iterations: 212952
– Total projector iterations: 754805
– Total preparation time: 0.340000
– Total inner solver time: 27.720000
– Total gradient updating time: 0.790000
– Objective function value: -7008.300359
– SV = 964
– BSV = 591
– Threshold b = 1.0308125
TRAINING PARAMETERS:
Training file: datasets/w7a
Number of training documents: 24692
Model file: datasets/w7a.out
q: 250
n: 82
C: 10.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 1062
– Total CPU time: 412.510000
– Total kernel evaluations: 15738116
– Total inner solver iterations: 3083160
– Total projector iterations: 9942641
– Total preparation time: 2.050000
– Total inner solver time: 403.000000
– Total gradient updating time: 3.350000
– Objective function value: -68985.659321
– SV = 964
– BSV = 573
– Threshold b = 1.0232359
TRAINING PARAMETERS:
Training file: datasets/w7a
Number of training documents: 24692
Model file: datasets/w7a.out
q: 250
n: 82
C: 100.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 4997
– Total CPU time: 5524.730000
– Total kernel evaluations: 64585733
– Total inner solver iterations: 42924001
– Total projector iterations: 118559940
– Total preparation time: 8.920000
– Total inner solver time: 5477.760000
– Total gradient updating time: 18.710000
– Objective function value: -688535.715865
– SV = 969
– BSV = 564
– Threshold b = 1.0271917
TRAINING PARAMETERS:
Training file: datasets/w7a
Number of training documents: 24692
Model file: datasets/w7a.out
q: 250
n: 82
C: 1000.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 20
– Total CPU time: 12.540000
– Total kernel evaluations: 61128257
– Total inner solver iterations: 1414
– Total projector iterations: 11276
– Total preparation time: 0.180000
– Total inner solver time: 0.380000
– Total gradient updating time: 11.910000
– Objective function value: -1372.011038
– SV = 1626
– BSV = 1379
– Threshold b = -1.852077
TRAINING PARAMETERS:
Training file: datasets/w7a
Number of training documents: 24692
Model file: datasets/w7a.out
q: 450
n: 150
C: 1.000000
kernel type: 2
kernel parameter -g: 0.0033333333
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 25
– Total CPU time: 15.460000
– Total kernel evaluations: 60896498
– Total inner solver iterations: 8819
– Total projector iterations: 67381
– Total preparation time: 0.210000
– Total inner solver time: 2.940000
– Total gradient updating time: 12.190000
– Objective function value: -10422.687861
– SV = 1470
– BSV = 1068
– Threshold b = -7.9937594
TRAINING PARAMETERS:
Training file: datasets/w7a
Number of training documents: 24692
Model file: datasets/w7a.out
q: 450
n: 150
C: 10.000000
kernel type: 2
kernel parameter -g: 0.0033333333
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 40
– Total CPU time: 26.510000
– Total kernel evaluations: 85629123
– Total inner solver iterations: 20171
– Total projector iterations: 120366
– Total preparation time: 0.380000
– Total inner solver time: 8.330000
– Total gradient updating time: 17.680000
– Objective function value: -72136.035804
– SV = 1292
– BSV = 636
– Threshold b = -12.796448
TRAINING PARAMETERS:
Training file: datasets/w7a
Number of training documents: 24692
Model file: datasets/w7a.out
q: 450
n: 150
C: 100.000000
kernel type: 2
kernel parameter -g: 0.0033333333
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
Inner tolerance temporary changed to: 1.000000e-04
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 89
– Total CPU time: 110.450000
– Total kernel evaluations: 273026393
– Total inner solver iterations: 118568
– Total projector iterations: 578024
– Total preparation time: 0.780000
– Total inner solver time: 54.620000
– Total gradient updating time: 54.680000
– Objective function value: -491864.846133
– SV = 1419
– BSV = 361
– Threshold b = -12.330358
TRAINING PARAMETERS:
Training file: datasets/w7a
Number of training documents: 24692
Model file: datasets/w7a.out
q: 450
n: 150
C: 1000.000000
kernel type: 2
kernel parameter -g: 0.0033333333
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 12
– Total CPU time: 7.520000
– Total kernel evaluations: 45450555
– Total inner solver iterations: 121
– Total projector iterations: 1292
– Total preparation time: 0.070000
– Total inner solver time: 0.060000
– Total gradient updating time: 7.320000
– Objective function value: -1479.809634
– SV = 1681
– BSV = 1351
– Threshold b = 0.99982015
TRAINING PARAMETERS:
Training file: datasets/w7a
Number of training documents: 24692
Model file: datasets/w7a.out
q: 450
n: 150
C: 1.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0033333333
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 13
– Total CPU time: 8.400000
– Total kernel evaluations: 50592021
– Total inner solver iterations: 313
– Total projector iterations: 2839
– Total preparation time: 0.120000
– Total inner solver time: 0.070000
– Total gradient updating time: 8.190000
– Objective function value: -14781.925814
– SV = 1770
– BSV = 1339
– Threshold b = 0.99955361
TRAINING PARAMETERS:
Training file: datasets/w7a
Number of training documents: 24692
Model file: datasets/w7a.out
q: 450
n: 150
C: 10.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0033333333
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
Inner tolerance changed to: 0.000500
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 36
– Total CPU time: 16.080000
– Total kernel evaluations: 85475955
– Total inner solver iterations: 2729
– Total projector iterations: 20399
– Total preparation time: 0.240000
– Total inner solver time: 1.130000
– Total gradient updating time: 14.590000
– Objective function value: -146248.004254
– SV = 2072
– BSV = 1284
– Threshold b = 0.99988817
TRAINING PARAMETERS:
Training file: datasets/w7a
Number of training documents: 24692
Model file: datasets/w7a.out
q: 450
n: 150
C: 100.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0033333333
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 73
– Total CPU time: 34.580000
– Total kernel evaluations: 150267557
– Total inner solver iterations: 16438
– Total projector iterations: 94072
– Total preparation time: 0.460000
– Total inner solver time: 7.770000
– Total gradient updating time: 25.990000
– Objective function value: -1344717.883913
– SV = 2462
– BSV = 1111
– Threshold b = 1.0000202
TRAINING PARAMETERS:
Training file: datasets/w7a
Number of training documents: 24692
Model file: datasets/w7a.out
q: 450
n: 150
C: 1000.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0033333333
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
Inner tolerance changed to: 0.000250
Inner tolerance changed to: 0.000125
Inner tolerance changed to: 0.000063
Inner tolerance changed to: 0.000050
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 584
– Total CPU time: 31.290000
– Total kernel evaluations: 10144676
– Total inner solver iterations: 17647
– Total projector iterations: 73673
– Total preparation time: 2.620000
– Total inner solver time: 2.230000
– Total gradient updating time: 18.480000
– Objective function value: -5345.120708
– SV = 10866
– BSV = 5383
– Threshold b = 0.28860555
TRAINING PARAMETERS:
Training file: datasets/real-sim
Number of training documents: 72309
Model file: datasets/real-sim.out
q: 250
n: 82
C: 1.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
Inner tolerance changed to: 0.000250
Inner tolerance changed to: 0.000125
Inner tolerance changed to: 0.000063
Inner tolerance changed to: 0.000050
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 1441
– Total CPU time: 78.310000
– Total kernel evaluations: 25011055
– Total inner solver iterations: 45699
– Total projector iterations: 153447
– Total preparation time: 6.320000
– Total inner solver time: 7.430000
– Total gradient updating time: 45.490000
– Objective function value: -15202.782306
– SV = 7940
– BSV = 734
– Threshold b = 0.56187685
TRAINING PARAMETERS:
Training file: datasets/real-sim
Number of training documents: 72309
Model file: datasets/real-sim.out
q: 250
n: 82
C: 10.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
Inner tolerance changed to: 0.000250
Inner tolerance changed to: 0.000125
Inner tolerance changed to: 0.000063
Inner tolerance changed to: 0.000050
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 1851
– Total CPU time: 109.020000
– Total kernel evaluations: 32123325
– Total inner solver iterations: 110236
– Total projector iterations: 345706
– Total preparation time: 8.390000
– Total inner solver time: 17.530000
– Total gradient updating time: 58.450000
– Objective function value: -47124.509207
– SV = 7187
– BSV = 254
– Threshold b = 0.99929533
TRAINING PARAMETERS:
Training file: datasets/real-sim
Number of training documents: 72309
Model file: datasets/real-sim.out
q: 250
n: 82
C: 100.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
Inner tolerance changed to: 0.000250
Inner tolerance changed to: 0.000125
Inner tolerance changed to: 0.000063
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 1875
– Total CPU time: 127.050000
– Total kernel evaluations: 32539653
– Total inner solver iterations: 220083
– Total projector iterations: 690150
– Total preparation time: 8.110000
– Total inner solver time: 34.790000
– Total gradient updating time: 59.100000
– Objective function value: -297003.979512
– SV = 6630
– BSV = 202
– Threshold b = 0.99924725
TRAINING PARAMETERS:
Training file: datasets/real-sim
Number of training documents: 72309
Model file: datasets/real-sim.out
q: 250
n: 82
C: 1000.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 302
– Total CPU time: 2069.650000
– Total kernel evaluations: 4367576358
– Total inner solver iterations: 2498
– Total projector iterations: 39055
– Total preparation time: 6.330000
– Total inner solver time: 0.590000
– Total gradient updating time: 2058.990000
– Objective function value: -44319.154350
– SV = 44520
– BSV = 44387
– Threshold b = 0.99298363
TRAINING PARAMETERS:
Training file: datasets/real-sim
Number of training documents: 72309
Model file: datasets/real-sim.out
q: 450
n: 150
C: 1.000000
kernel type: 2
kernel parameter -g: 4.7714477e-05
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 300
– Total CPU time: 3312.370000
– Total kernel evaluations: 5288969003
– Total inner solver iterations: 2973
– Total projector iterations: 34310
– Total preparation time: 6.910000
– Total inner solver time: 0.940000
– Total gradient updating time: 3300.410000
– Objective function value: -429079.222957
– SV = 44606
– BSV = 44327
– Threshold b = 0.92962324
TRAINING PARAMETERS:
Training file: datasets/real-sim
Number of training documents: 72309
Model file: datasets/real-sim.out
q: 450
n: 150
C: 10.000000
kernel type: 2
kernel parameter -g: 4.7714477e-05
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 271
– Total CPU time: 3204.800000
– Total kernel evaluations: 4752992928
– Total inner solver iterations: 3749
– Total projector iterations: 31864
– Total preparation time: 6.030000
– Total inner solver time: 1.020000
– Total gradient updating time: 3193.830000
– Objective function value: -3138083.940593
– SV = 40017
– BSV = 39443
– Threshold b = 0.38985816
TRAINING PARAMETERS:
Training file: datasets/real-sim
Number of training documents: 72309
Model file: datasets/real-sim.out
q: 450
n: 150
C: 100.000000
kernel type: 2
kernel parameter -g: 4.7714477e-05
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 172
– Total CPU time: 1876.410000
– Total kernel evaluations: 2757952705
– Total inner solver iterations: 4327
– Total projector iterations: 26856
– Total preparation time: 3.830000
– Total inner solver time: 1.000000
– Total gradient updating time: 1868.990000
– Objective function value: -14389647.447924
– SV = 21001
– BSV = 18849
– Threshold b = -2.4101211
TRAINING PARAMETERS:
Training file: datasets/real-sim
Number of training documents: 72309
Model file: datasets/real-sim.out
q: 450
n: 150
C: 1000.000000
kernel type: 2
kernel parameter -g: 4.7714477e-05
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 997
– Total CPU time: 2191.910000
– Total kernel evaluations: 3444561505
– Total inner solver iterations: 2849
– Total projector iterations: 61973
– Total preparation time: 10.580000
– Total inner solver time: 1.250000
– Total gradient updating time: 2168.590000
– Objective function value: -44475.999767
– SV = 44580
– BSV = 44120
– Threshold b = 1
TRAINING PARAMETERS:
Training file: datasets/real-sim
Number of training documents: 72309
Model file: datasets/real-sim.out
q: 450
n: 150
C: 1.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 4.7714477e-05
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 1040
– Total CPU time: 11431.020000
– Total kernel evaluations: 20395582400
– Total inner solver iterations: 3131
– Total projector iterations: 66539
– Total preparation time: 10.030000
– Total inner solver time: 2.320000
– Total gradient updating time: 11405.470000
– Objective function value: -444760.005597
– SV = 45153
– BSV = 37833
– Threshold b = 1
TRAINING PARAMETERS:
Training file: datasets/real-sim
Number of training documents: 72309
Model file: datasets/real-sim.out
q: 450
n: 150
C: 10.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 4.7714477e-05
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 999
– Total CPU time: 5153.400000
– Total kernel evaluations: 9578341327
– Total inner solver iterations: 3077
– Total projector iterations: 72333
– Total preparation time: 9.610000
– Total inner solver time: 1.750000
– Total gradient updating time: 5129.430000
– Objective function value: -4447600.000266
– SV = 44601
– BSV = 42818
– Threshold b = 1
TRAINING PARAMETERS:
Training file: datasets/real-sim
Number of training documents: 72309
Model file: datasets/real-sim.out
q: 450
n: 150
C: 100.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 4.7714477e-05
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 1025
– Total CPU time: 7627.560000
– Total kernel evaluations: 12316006268
– Total inner solver iterations: 3075
– Total projector iterations: 68368
– Total preparation time: 10.790000
– Total inner solver time: 1.950000
– Total gradient updating time: 7600.670000
– Objective function value: -44475999.992612
– SV = 44994
– BSV = 37925
– Threshold b = 1
TRAINING PARAMETERS:
Training file: datasets/real-sim
Number of training documents: 72309
Model file: datasets/real-sim.out
q: 450
n: 150
C: 1000.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 4.7714477e-05
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 54
– Total CPU time: 2.750000
– Total kernel evaluations: 849735
– Total inner solver iterations: 18883
– Total projector iterations: 84324
– Total preparation time: 0.100000
– Total inner solver time: 2.340000
– Total gradient updating time: 0.160000
– Objective function value: -536.967720
– SV = 793
– BSV = 475
– Threshold b = 1.0270783
TRAINING PARAMETERS:
Training file: datasets/web6a
Number of training documents: 17188
Model file: datasets/web6a.out
q: 250
n: 82
C: 1.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 127
– Total CPU time: 16.410000
– Total kernel evaluations: 1882418
– Total inner solver iterations: 119410
– Total projector iterations: 428403
– Total preparation time: 0.180000
– Total inner solver time: 15.540000
– Total gradient updating time: 0.320000
– Objective function value: -4757.225072
– SV = 693
– BSV = 383
– Threshold b = 1.0510835
TRAINING PARAMETERS:
Training file: datasets/web6a
Number of training documents: 17188
Model file: datasets/web6a.out
q: 250
n: 82
C: 10.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 527
– Total CPU time: 221.750000
– Total kernel evaluations: 7455115
– Total inner solver iterations: 1652649
– Total projector iterations: 5487240
– Total preparation time: 0.890000
– Total inner solver time: 218.280000
– Total gradient updating time: 1.180000
– Objective function value: -46181.507828
– SV = 701
– BSV = 357
– Threshold b = 1.0290578
TRAINING PARAMETERS:
Training file: datasets/web6a
Number of training documents: 17188
Model file: datasets/web6a.out
q: 250
n: 82
C: 100.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 1692
– Total CPU time: 3689.320000
– Total kernel evaluations: 24669211
– Total inner solver iterations: 28860152
– Total projector iterations: 80059003
– Total preparation time: 2.790000
– Total inner solver time: 3677.290000
– Total gradient updating time: 4.810000
– Objective function value: -460005.491576
– SV = 702
– BSV = 362
– Threshold b = 1.0214426
TRAINING PARAMETERS:
Training file: datasets/web6a
Number of training documents: 17188
Model file: datasets/web6a.out
q: 250
n: 82
C: 1000.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 14
– Total CPU time: 6.340000
– Total kernel evaluations: 30013562
– Total inner solver iterations: 1145
– Total projector iterations: 8991
– Total preparation time: 0.150000
– Total inner solver time: 0.260000
– Total gradient updating time: 5.900000
– Objective function value: -994.832759
– SV = 1157
– BSV = 975
– Threshold b = -1.0753524
TRAINING PARAMETERS:
Training file: datasets/web6a
Number of training documents: 17188
Model file: datasets/web6a.out
q: 450
n: 150
C: 1.000000
kernel type: 2
kernel parameter -g: 0.0033333333
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 19
– Total CPU time: 8.030000
– Total kernel evaluations: 30092787
– Total inner solver iterations: 5170
– Total projector iterations: 39156
– Total preparation time: 0.190000
– Total inner solver time: 1.720000
– Total gradient updating time: 6.090000
– Objective function value: -7616.446071
– SV = 1083
– BSV = 752
– Threshold b = -6.8529281
TRAINING PARAMETERS:
Training file: datasets/web6a
Number of training documents: 17188
Model file: datasets/web6a.out
q: 450
n: 150
C: 10.000000
kernel type: 2
kernel parameter -g: 0.0033333333
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 33
– Total CPU time: 13.610000
– Total kernel evaluations: 28948953
– Total inner solver iterations: 16131
– Total projector iterations: 97311
– Total preparation time: 0.240000
– Total inner solver time: 6.850000
– Total gradient updating time: 6.440000
– Objective function value: -51682.466431
– SV = 1007
– BSV = 454
– Threshold b = -11.909778
TRAINING PARAMETERS:
Training file: datasets/web6a
Number of training documents: 17188
Model file: datasets/web6a.out
q: 450
n: 150
C: 100.000000
kernel type: 2
kernel parameter -g: 0.0033333333
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 62
– Total CPU time: 47.130000
– Total kernel evaluations: 34841092
– Total inner solver iterations: 88132
– Total projector iterations: 393440
– Total preparation time: 0.390000
– Total inner solver time: 38.120000
– Total gradient updating time: 8.410000
– Objective function value: -341445.797873
– SV = 941
– BSV = 264
– Threshold b = -12.011937
TRAINING PARAMETERS:
Training file: datasets/web6a
Number of training documents: 17188
Model file: datasets/web6a.out
q: 450
n: 150
C: 1000.000000
kernel type: 2
kernel parameter -g: 0.0033333333
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 10
– Total CPU time: 4.110000
– Total kernel evaluations: 24215792
– Total inner solver iterations: 75
– Total projector iterations: 911
– Total preparation time: 0.070000
– Total inner solver time: 0.010000
– Total gradient updating time: 3.990000
– Objective function value: -1049.893563
– SV = 1298
– BSV = 1000
– Threshold b = 0.99969557
TRAINING PARAMETERS:
Training file: datasets/web6a
Number of training documents: 17188
Model file: datasets/web6a.out
q: 450
n: 150
C: 1.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0033333333
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 10
– Total CPU time: 4.410000
– Total kernel evaluations: 25689503
– Total inner solver iterations: 233
– Total projector iterations: 2080
– Total preparation time: 0.070000
– Total inner solver time: 0.080000
– Total gradient updating time: 4.240000
– Objective function value: -10490.123533
– SV = 1334
– BSV = 933
– Threshold b = 0.99957658
TRAINING PARAMETERS:
Training file: datasets/web6a
Number of training documents: 17188
Model file: datasets/web6a.out
q: 450
n: 150
C: 10.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0033333333
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 27
– Total CPU time: 7.430000
– Total kernel evaluations: 36073091
– Total inner solver iterations: 1966
– Total projector iterations: 14734
– Total preparation time: 0.210000
– Total inner solver time: 0.820000
– Total gradient updating time: 6.350000
– Objective function value: -104053.955914
– SV = 1600
– BSV = 863
– Threshold b = 0.9993543
TRAINING PARAMETERS:
Training file: datasets/web6a
Number of training documents: 17188
Model file: datasets/web6a.out
q: 450
n: 150
C: 100.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0033333333
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 50
– Total CPU time: 15.690000
– Total kernel evaluations: 55726483
– Total inner solver iterations: 11403
– Total projector iterations: 66076
– Total preparation time: 0.340000
– Total inner solver time: 5.080000
– Total gradient updating time: 10.140000
– Objective function value: -967295.228894
– SV = 1870
– BSV = 774
– Threshold b = 1.0000532
TRAINING PARAMETERS:
Training file: datasets/web6a
Number of training documents: 17188
Model file: datasets/web6a.out
q: 450
n: 150
C: 1000.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0033333333
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
Inner tolerance changed to: 0.000250
Inner tolerance changed to: 0.000125
Inner tolerance changed to: 0.000063
Inner tolerance changed to: 0.000050
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 1472
– Total CPU time: 186.250000
– Total kernel evaluations: 25022943
– Total inner solver iterations: 412971
– Total projector iterations: 1704512
– Total preparation time: 14.620000
– Total inner solver time: 57.820000
– Total gradient updating time: 96.500000
– Objective function value: -5966.194721
– SV = 6262
– BSV = 5754
– Threshold b = 3.9693857
TRAINING PARAMETERS:
Training file: datasets/mnist
Number of training documents: 60000
Model file: datasets/mnist.out
q: 250
n: 82
C: 1.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
Inner tolerance changed to: 0.000250
Inner tolerance changed to: 0.000125
Inner tolerance changed to: 0.000063
Inner tolerance changed to: 0.000050
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 14015
– Total CPU time: 1933.300000
– Total kernel evaluations: 243132233
– Total inner solver iterations: 4831504
– Total projector iterations: 15117521
– Total preparation time: 141.870000
– Total inner solver time: 713.420000
– Total gradient updating time: 912.870000
– Objective function value: -59185.482034
– SV = 6231
– BSV = 5673
– Threshold b = 3.9980961
TRAINING PARAMETERS:
Training file: datasets/mnist
Number of training documents: 60000
Model file: datasets/mnist.out
q: 250
n: 82
C: 10.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 23045
– Total CPU time: 18804.830000
– Total kernel evaluations: 752832515
– Total inner solver iterations: 49724952
– Total projector iterations: 153525280
– Total preparation time: 448.540000
– Total inner solver time: 16503.300000
– Total gradient updating time: 1575.860000
– Objective function value: -589894.763230
– SV = 6202
– BSV = 5627
– Threshold b = 4.034682
TRAINING PARAMETERS:
Training file: datasets/mnist
Number of training documents: 60000
Model file: datasets/mnist.out
q: 400
n: 132
C: 100.000000
kernel type: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 67
– Total CPU time: 764.540000
– Total kernel evaluations: 657131086
– Total inner solver iterations: 3073
– Total projector iterations: 26363
– Total preparation time: 2.420000
– Total inner solver time: 0.610000
– Total gradient updating time: 760.740000
– Objective function value: -5983.342854
– SV = 7202
– BSV = 7001
– Threshold b = 12.332663
TRAINING PARAMETERS:
Training file: datasets/mnist
Number of training documents: 60000
Model file: datasets/mnist.out
q: 450
n: 150
C: 1.000000
kernel type: 2
kernel parameter -g: 0.0012820513
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 59
– Total CPU time: 952.300000
– Total kernel evaluations: 810123860
– Total inner solver iterations: 8724
– Total projector iterations: 68829
– Total preparation time: 2.080000
– Total inner solver time: 2.690000
– Total gradient updating time: 946.830000
– Objective function value: -33125.151425
– SV = 4731
– BSV = 4095
– Threshold b = 44.368969
TRAINING PARAMETERS:
Training file: datasets/mnist
Number of training documents: 60000
Model file: datasets/mnist.out
q: 450
n: 150
C: 10.000000
kernel type: 2
kernel parameter -g: 0.0012820513
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
Inner tolerance changed to: 0.000500
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 154
– Total CPU time: 3392.800000
– Total kernel evaluations: 2848477937
– Total inner solver iterations: 29830
– Total projector iterations: 184900
– Total preparation time: 4.620000
– Total inner solver time: 12.900000
– Total gradient updating time: 3373.470000
– Objective function value: -127481.747198
– SV = 2863
– BSV = 1247
– Threshold b = 90.512381
TRAINING PARAMETERS:
Training file: datasets/mnist
Number of training documents: 60000
Model file: datasets/mnist.out
q: 450
n: 150
C: 100.000000
kernel type: 2
kernel parameter -g: 0.0012820513
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 248
– Total CPU time: 5684.250000
– Total kernel evaluations: 4879700511
– Total inner solver iterations: 69872
– Total projector iterations: 345422
– Total preparation time: 8.730000
– Total inner solver time: 34.260000
– Total gradient updating time: 5638.310000
– Objective function value: -239311.183886
– SV = 2476
– BSV = 26
– Threshold b = 109.3299
TRAINING PARAMETERS:
Training file: datasets/mnist
Number of training documents: 60000
Model file: datasets/mnist.out
q: 450
n: 150
C: 1000.000000
kernel type: 2
kernel parameter -g: 0.0012820513
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 106
– Total CPU time: 1313.940000
– Total kernel evaluations: 960547578
– Total inner solver iterations: 1371
– Total projector iterations: 13543
– Total preparation time: 3.550000
– Total inner solver time: 0.240000
– Total gradient updating time: 1308.840000
– Objective function value: -10756.740226
– SV = 11759
– BSV = 11646
– Threshold b = 1.0711884
TRAINING PARAMETERS:
Training file: datasets/mnist
Number of training documents: 60000
Model file: datasets/mnist.out
q: 450
n: 150
C: 1.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0012820513
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 73
– Total CPU time: 1082.470000
– Total kernel evaluations: 756270880
– Total inner solver iterations: 2032
– Total projector iterations: 13826
– Total preparation time: 2.780000
– Total inner solver time: 0.380000
– Total gradient updating time: 1078.450000
– Objective function value: -73151.130673
– SV = 9103
– BSV = 8848
– Threshold b = 1.0840146
TRAINING PARAMETERS:
Training file: datasets/mnist
Number of training documents: 60000
Model file: datasets/mnist.out
q: 450
n: 150
C: 10.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0012820513
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 60
– Total CPU time: 1202.840000
– Total kernel evaluations: 762058823
– Total inner solver iterations: 6849
– Total projector iterations: 32440
– Total preparation time: 2.210000
– Total inner solver time: 2.310000
– Total gradient updating time: 1197.500000
– Objective function value: -389311.149164
– SV = 5527
– BSV = 4795
– Threshold b = 0.98938308
TRAINING PARAMETERS:
Training file: datasets/mnist
Number of training documents: 60000
Model file: datasets/mnist.out
q: 450
n: 150
C: 100.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0012820513
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000
——+———–+———–+————-+———–+————–
——+———–+———–+————-+———–+————–
– TOTAL ITERATIONS: 74
– Total CPU time: 2349.890000
– Total kernel evaluations: 1432669791
– Total inner solver iterations: 20124
– Total projector iterations: 71051
– Total preparation time: 2.660000
– Total inner solver time: 9.980000
– Total gradient updating time: 2336.220000
– Objective function value: -1547134.718773
– SV = 3482
– BSV = 1604
– Threshold b = 0.9350593
TRAINING PARAMETERS:
Training file: datasets/mnist
Number of training documents: 60000
Model file: datasets/mnist.out
q: 450
n: 150
C: 1000.000000
kernel type: 1
kernel parameter -d: 3
kernel parameter -s: 0.0012820513
kernel parameter -r: 0
cache size: 40Mb
Stopping tolerance: 0.001000