gistfile1.txt

/media/vclagpu/Data1/enijkamp/repeller-sgd/venv/bin/python /media/vclagpu/Data1/enijkamp/repeller-sgd/experiments/bezier/eval_bezier_eigen_5.py
2018-05-14 13:57:18.728290: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2018-05-14 13:57:19.053588: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Found device 0 with properties: 
name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
pciBusID: 0000:09:00.0
totalMemory: 11.90GiB freeMemory: 11.74GiB
2018-05-14 13:57:19.053614: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 1, name: TITAN Xp, pci bus id: 0000:09:00.0, compute capability: 6.1)
2018-05-14 13:57:19,165 - loading ../../resnet_cifar100/model_1/model.ckpt-97675
2018-05-14 13:57:22,610 - Restoring parameters from ../../resnet_cifar100/model_1/model.ckpt-97675
2018-05-14 13:57:23,706 -  conv2d_w
2018-05-14 13:57:23,706 -  conv2d_w_1
2018-05-14 13:57:23,706 -  batch_normalization_offset
2018-05-14 13:57:23,706 -  batch_normalization_scales
2018-05-14 13:57:23,706 -  conv2d_w_2
2018-05-14 13:57:23,706 -  batch_normalization_offset_1
2018-05-14 13:57:23,706 -  batch_normalization_scales_1
2018-05-14 13:57:23,706 -  conv2d_w_3
2018-05-14 13:57:23,706 -  batch_normalization_offset_2
2018-05-14 13:57:23,706 -  batch_normalization_scales_2
2018-05-14 13:57:23,707 -  conv2d_w_4
2018-05-14 13:57:23,707 -  batch_normalization_offset_3
2018-05-14 13:57:23,707 -  batch_normalization_scales_3
2018-05-14 13:57:23,707 -  conv2d_w_5
2018-05-14 13:57:23,707 -  batch_normalization_offset_4
2018-05-14 13:57:23,707 -  batch_normalization_scales_4
2018-05-14 13:57:23,707 -  conv2d_w_6
2018-05-14 13:57:23,707 -  batch_normalization_offset_5
2018-05-14 13:57:23,707 -  batch_normalization_scales_5
2018-05-14 13:57:23,707 -  conv2d_w_7
2018-05-14 13:57:23,707 -  batch_normalization_offset_6
2018-05-14 13:57:23,707 -  batch_normalization_scales_6
2018-05-14 13:57:23,707 -  conv2d_w_8
2018-05-14 13:57:23,707 -  batch_normalization_offset_7
2018-05-14 13:57:23,707 -  batch_normalization_scales_7
2018-05-14 13:57:23,707 -  conv2d_w_9
2018-05-14 13:57:23,707 -  batch_normalization_offset_8
2018-05-14 13:57:23,708 -  batch_normalization_scales_8
2018-05-14 13:57:23,708 -  conv2d_w_10
2018-05-14 13:57:23,708 -  batch_normalization_offset_9
2018-05-14 13:57:23,708 -  batch_normalization_scales_9
2018-05-14 13:57:23,708 -  conv2d_w_11
2018-05-14 13:57:23,708 -  batch_normalization_offset_10
2018-05-14 13:57:23,708 -  batch_normalization_scales_10
2018-05-14 13:57:23,708 -  conv2d_w_12
2018-05-14 13:57:23,708 -  batch_normalization_offset_11
2018-05-14 13:57:23,708 -  batch_normalization_scales_11
2018-05-14 13:57:23,708 -  conv2d_w_13
2018-05-14 13:57:23,708 -  batch_normalization_offset_12
2018-05-14 13:57:23,708 -  batch_normalization_scales_12
2018-05-14 13:57:23,708 -  conv2d_w_14
2018-05-14 13:57:23,708 -  batch_normalization_offset_13
2018-05-14 13:57:23,708 -  batch_normalization_scales_13
2018-05-14 13:57:23,708 -  conv2d_w_15
2018-05-14 13:57:23,709 -  batch_normalization_offset_14
2018-05-14 13:57:23,709 -  batch_normalization_scales_14
2018-05-14 13:57:23,709 -  conv2d_w_16
2018-05-14 13:57:23,709 -  batch_normalization_offset_15
2018-05-14 13:57:23,709 -  batch_normalization_scales_15
2018-05-14 13:57:23,709 -  conv2d_w_17
2018-05-14 13:57:23,709 -  batch_normalization_offset_16
2018-05-14 13:57:23,709 -  batch_normalization_scales_16
2018-05-14 13:57:23,709 -  conv2d_w_18
2018-05-14 13:57:23,709 -  batch_normalization_offset_17
2018-05-14 13:57:23,709 -  batch_normalization_scales_17
2018-05-14 13:57:23,709 -  conv2d_w_19
2018-05-14 13:57:23,709 -  batch_normalization_offset_18
2018-05-14 13:57:23,709 -  batch_normalization_scales_18
2018-05-14 13:57:23,709 -  conv2d_w_20
2018-05-14 13:57:23,709 -  batch_normalization_offset_19
2018-05-14 13:57:23,710 -  batch_normalization_scales_19
2018-05-14 13:57:23,710 -  conv2d_w_21
2018-05-14 13:57:23,710 -  batch_normalization_offset_20
2018-05-14 13:57:23,710 -  batch_normalization_scales_20
2018-05-14 13:57:23,710 -  conv2d_w_22
2018-05-14 13:57:23,710 -  batch_normalization_offset_21
2018-05-14 13:57:23,710 -  batch_normalization_scales_21
2018-05-14 13:57:23,710 -  conv2d_w_23
2018-05-14 13:57:23,710 -  batch_normalization_offset_22
2018-05-14 13:57:23,710 -  batch_normalization_scales_22
2018-05-14 13:57:23,710 -  conv2d_w_24
2018-05-14 13:57:23,710 -  batch_normalization_offset_23
2018-05-14 13:57:23,710 -  batch_normalization_scales_23
2018-05-14 13:57:23,710 -  conv2d_w_25
2018-05-14 13:57:23,710 -  batch_normalization_offset_24
2018-05-14 13:57:23,710 -  batch_normalization_scales_24
2018-05-14 13:57:23,710 -  conv2d_w_26
2018-05-14 13:57:23,711 -  batch_normalization_offset_25
2018-05-14 13:57:23,711 -  batch_normalization_scales_25
2018-05-14 13:57:23,711 -  conv2d_w_27
2018-05-14 13:57:23,711 -  batch_normalization_offset_26
2018-05-14 13:57:23,711 -  batch_normalization_scales_26
2018-05-14 13:57:23,711 -  conv2d_w_28
2018-05-14 13:57:23,711 -  batch_normalization_offset_27
2018-05-14 13:57:23,711 -  batch_normalization_scales_27
2018-05-14 13:57:23,711 -  conv2d_w_29
2018-05-14 13:57:23,711 -  batch_normalization_offset_28
2018-05-14 13:57:23,711 -  batch_normalization_scales_28
2018-05-14 13:57:23,711 -  conv2d_w_30
2018-05-14 13:57:23,711 -  batch_normalization_offset_29
2018-05-14 13:57:23,711 -  batch_normalization_scales_29
2018-05-14 13:57:23,711 -  conv2d_w_31
2018-05-14 13:57:23,711 -  batch_normalization_offset_30
2018-05-14 13:57:23,711 -  batch_normalization_scales_30
2018-05-14 13:57:23,712 -  conv2d_w_32
2018-05-14 13:57:23,712 -  batch_normalization_offset_31
2018-05-14 13:57:23,712 -  batch_normalization_scales_31
2018-05-14 13:57:23,712 -  conv2d_w_33
2018-05-14 13:57:23,712 -  batch_normalization_offset_32
2018-05-14 13:57:23,712 -  batch_normalization_scales_32
2018-05-14 13:57:23,712 -  batch_normalization_offset_33
2018-05-14 13:57:23,712 -  batch_normalization_scales_33
2018-05-14 13:57:23,712 -  final_dense/fcl_weights
2018-05-14 13:57:23,712 -  fcl_biases
2018-05-14 13:57:23.712786: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 1, name: TITAN Xp, pci bus id: 0000:09:00.0, compute capability: 6.1)
2018-05-14 13:57:23,791 - loading ../../resnet_cifar100/model_2/model.ckpt-156280
2018-05-14 13:57:27,225 - Restoring parameters from ../../resnet_cifar100/model_2/model.ckpt-156280
2018-05-14 13:57:27,693 -  conv2d_w
2018-05-14 13:57:27,694 -  conv2d_w_1
2018-05-14 13:57:27,694 -  batch_normalization_offset
2018-05-14 13:57:27,694 -  batch_normalization_scales
2018-05-14 13:57:27,694 -  conv2d_w_2
2018-05-14 13:57:27,694 -  batch_normalization_offset_1
2018-05-14 13:57:27,695 -  batch_normalization_scales_1
2018-05-14 13:57:27,695 -  conv2d_w_3
2018-05-14 13:57:27,695 -  batch_normalization_offset_2
2018-05-14 13:57:27,695 -  batch_normalization_scales_2
2018-05-14 13:57:27,695 -  conv2d_w_4
2018-05-14 13:57:27,695 -  batch_normalization_offset_3
2018-05-14 13:57:27,695 -  batch_normalization_scales_3
2018-05-14 13:57:27,695 -  conv2d_w_5
2018-05-14 13:57:27,696 -  batch_normalization_offset_4
2018-05-14 13:57:27,696 -  batch_normalization_scales_4
2018-05-14 13:57:27,696 -  conv2d_w_6
2018-05-14 13:57:27,696 -  batch_normalization_offset_5
2018-05-14 13:57:27,696 -  batch_normalization_scales_5
2018-05-14 13:57:27,696 -  conv2d_w_7
2018-05-14 13:57:27,696 -  batch_normalization_offset_6
2018-05-14 13:57:27,696 -  batch_normalization_scales_6
2018-05-14 13:57:27,697 -  conv2d_w_8
2018-05-14 13:57:27,697 -  batch_normalization_offset_7
2018-05-14 13:57:27,697 -  batch_normalization_scales_7
2018-05-14 13:57:27,697 -  conv2d_w_9
2018-05-14 13:57:27,697 -  batch_normalization_offset_8
2018-05-14 13:57:27,697 -  batch_normalization_scales_8
2018-05-14 13:57:27,697 -  conv2d_w_10
2018-05-14 13:57:27,697 -  batch_normalization_offset_9
2018-05-14 13:57:27,698 -  batch_normalization_scales_9
2018-05-14 13:57:27,698 -  conv2d_w_11
2018-05-14 13:57:27,698 -  batch_normalization_offset_10
2018-05-14 13:57:27,698 -  batch_normalization_scales_10
2018-05-14 13:57:27,698 -  conv2d_w_12
2018-05-14 13:57:27,698 -  batch_normalization_offset_11
2018-05-14 13:57:27,698 -  batch_normalization_scales_11
2018-05-14 13:57:27,698 -  conv2d_w_13
2018-05-14 13:57:27,699 -  batch_normalization_offset_12
2018-05-14 13:57:27,699 -  batch_normalization_scales_12
2018-05-14 13:57:27,699 -  conv2d_w_14
2018-05-14 13:57:27,699 -  batch_normalization_offset_13
2018-05-14 13:57:27,699 -  batch_normalization_scales_13
2018-05-14 13:57:27,699 -  conv2d_w_15
2018-05-14 13:57:27,699 -  batch_normalization_offset_14
2018-05-14 13:57:27,699 -  batch_normalization_scales_14
2018-05-14 13:57:27,700 -  conv2d_w_16
2018-05-14 13:57:27,700 -  batch_normalization_offset_15
2018-05-14 13:57:27,700 -  batch_normalization_scales_15
2018-05-14 13:57:27,700 -  conv2d_w_17
2018-05-14 13:57:27,700 -  batch_normalization_offset_16
2018-05-14 13:57:27,700 -  batch_normalization_scales_16
2018-05-14 13:57:27,700 -  conv2d_w_18
2018-05-14 13:57:27,701 -  batch_normalization_offset_17
2018-05-14 13:57:27,701 -  batch_normalization_scales_17
2018-05-14 13:57:27,701 -  conv2d_w_19
2018-05-14 13:57:27,701 -  batch_normalization_offset_18
2018-05-14 13:57:27,701 -  batch_normalization_scales_18
2018-05-14 13:57:27,701 -  conv2d_w_20
2018-05-14 13:57:27,701 -  batch_normalization_offset_19
2018-05-14 13:57:27,701 -  batch_normalization_scales_19
2018-05-14 13:57:27,702 -  conv2d_w_21
2018-05-14 13:57:27,702 -  batch_normalization_offset_20
2018-05-14 13:57:27,702 -  batch_normalization_scales_20
2018-05-14 13:57:27,702 -  conv2d_w_22
2018-05-14 13:57:27,702 -  batch_normalization_offset_21
2018-05-14 13:57:27,702 -  batch_normalization_scales_21
2018-05-14 13:57:27,702 -  conv2d_w_23
2018-05-14 13:57:27,702 -  batch_normalization_offset_22
2018-05-14 13:57:27,703 -  batch_normalization_scales_22
2018-05-14 13:57:27,703 -  conv2d_w_24
2018-05-14 13:57:27,703 -  batch_normalization_offset_23
2018-05-14 13:57:27,703 -  batch_normalization_scales_23
2018-05-14 13:57:27,703 -  conv2d_w_25
2018-05-14 13:57:27,703 -  batch_normalization_offset_24
2018-05-14 13:57:27,703 -  batch_normalization_scales_24
2018-05-14 13:57:27,703 -  conv2d_w_26
2018-05-14 13:57:27,704 -  batch_normalization_offset_25
2018-05-14 13:57:27,704 -  batch_normalization_scales_25
2018-05-14 13:57:27,704 -  conv2d_w_27
2018-05-14 13:57:27,704 -  batch_normalization_offset_26
2018-05-14 13:57:27,704 -  batch_normalization_scales_26
2018-05-14 13:57:27,704 -  conv2d_w_28
2018-05-14 13:57:27,704 -  batch_normalization_offset_27
2018-05-14 13:57:27,704 -  batch_normalization_scales_27
2018-05-14 13:57:27,705 -  conv2d_w_29
2018-05-14 13:57:27,705 -  batch_normalization_offset_28
2018-05-14 13:57:27,705 -  batch_normalization_scales_28
2018-05-14 13:57:27,705 -  conv2d_w_30
2018-05-14 13:57:27,705 -  batch_normalization_offset_29
2018-05-14 13:57:27,705 -  batch_normalization_scales_29
2018-05-14 13:57:27,705 -  conv2d_w_31
2018-05-14 13:57:27,705 -  batch_normalization_offset_30
2018-05-14 13:57:27,706 -  batch_normalization_scales_30
2018-05-14 13:57:27,706 -  conv2d_w_32
2018-05-14 13:57:27,706 -  batch_normalization_offset_31
2018-05-14 13:57:27,706 -  batch_normalization_scales_31
2018-05-14 13:57:27,706 -  conv2d_w_33
2018-05-14 13:57:27,706 -  batch_normalization_offset_32
2018-05-14 13:57:27,706 -  batch_normalization_scales_32
2018-05-14 13:57:27,707 -  batch_normalization_offset_33
2018-05-14 13:57:27,707 -  batch_normalization_scales_33
2018-05-14 13:57:27,707 -  final_dense/fcl_weights
2018-05-14 13:57:27,707 -  fcl_biases
2018-05-14 13:57:27.707864: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 1, name: TITAN Xp, pci bus id: 0000:09:00.0, compute capability: 6.1)
2018-05-14 13:57:27,773 - loading ../../output/cifar100_resnet32_bezier/cifar10_interpolate_1/2018-05-10-23-27-58/model/w_vars-50000
2018-05-14 13:58:15,063 - Restoring parameters from ../../output/cifar100_resnet32_bezier/cifar10_interpolate_1/2018-05-10-23-27-58/model/w_vars-50000
2018-05-14 13:58:21,790 -  Variable
2018-05-14 13:58:21,790 -  Variable_1
2018-05-14 13:58:21,790 -  Variable_2
2018-05-14 13:58:21,791 -  Variable_3
2018-05-14 13:58:21,791 -  Variable_4
2018-05-14 13:58:21,791 -  Variable_5
2018-05-14 13:58:21,791 -  Variable_6
2018-05-14 13:58:21,791 -  Variable_7
2018-05-14 13:58:21,791 -  Variable_8
2018-05-14 13:58:21,791 -  Variable_9
2018-05-14 13:58:21,791 -  Variable_10
2018-05-14 13:58:21,791 -  Variable_11
2018-05-14 13:58:21,791 -  Variable_12
2018-05-14 13:58:21,792 -  Variable_13
2018-05-14 13:58:21,792 -  Variable_14
2018-05-14 13:58:21,792 -  Variable_15
2018-05-14 13:58:21,792 -  Variable_16
2018-05-14 13:58:21,792 -  Variable_17
2018-05-14 13:58:21,792 -  Variable_18
2018-05-14 13:58:21,792 -  Variable_19
2018-05-14 13:58:21,792 -  Variable_20
2018-05-14 13:58:21,792 -  Variable_21
2018-05-14 13:58:21,792 -  Variable_22
2018-05-14 13:58:21,792 -  Variable_23
2018-05-14 13:58:21,792 -  Variable_24
2018-05-14 13:58:21,793 -  Variable_25
2018-05-14 13:58:21,793 -  Variable_26
2018-05-14 13:58:21,793 -  Variable_27
2018-05-14 13:58:21,793 -  Variable_28
2018-05-14 13:58:21,793 -  Variable_29
2018-05-14 13:58:21,793 -  Variable_30
2018-05-14 13:58:21,793 -  Variable_31
2018-05-14 13:58:21,793 -  Variable_32
2018-05-14 13:58:21,793 -  Variable_33
2018-05-14 13:58:21,793 -  Variable_34
2018-05-14 13:58:21,793 -  Variable_35
2018-05-14 13:58:21,794 -  Variable_36
2018-05-14 13:58:21,794 -  Variable_37
2018-05-14 13:58:21,794 -  Variable_38
2018-05-14 13:58:21,794 -  Variable_39
2018-05-14 13:58:21,794 -  Variable_40
2018-05-14 13:58:21,794 -  Variable_41
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2018-05-14 13:58:21,794 -  Variable_43
2018-05-14 13:58:21,794 -  Variable_44
2018-05-14 13:58:21,794 -  Variable_45
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2018-05-14 13:58:21,795 -  Variable_47
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2018-05-14 13:58:21,801 -  Variable_129
2018-05-14 13:58:21,801 -  Variable_130
2018-05-14 13:58:21,802 -  Variable_131
2018-05-14 13:58:21,802 -  Variable_132
2018-05-14 13:58:21,802 -  Variable_133
2018-05-14 13:58:21,802 -  Variable_134
2018-05-14 13:58:21,802 -  Variable_135
2018-05-14 13:58:21,802 -  Variable_136
2018-05-14 13:58:21,802 -  Variable_137
2018-05-14 13:58:21,802 -  Variable_138
2018-05-14 13:58:21,802 -  Variable_139
2018-05-14 13:58:21,802 -  Variable_140
2018-05-14 13:58:21,802 -  Variable_141
2018-05-14 13:58:21,802 -  Variable_142
2018-05-14 13:58:21,802 -  Variable_143
2018-05-14 13:58:21,803 -  Variable_144
2018-05-14 13:58:21,803 -  Variable_145
2018-05-14 13:58:21,803 -  Variable_146
2018-05-14 13:58:21,803 -  Variable_147
2018-05-14 13:58:21,803 -  Variable_148
2018-05-14 13:58:21,803 -  Variable_149
2018-05-14 13:58:21,803 -  Variable_150
2018-05-14 13:58:21,803 -  Variable_151
2018-05-14 13:58:21,803 -  Variable_152
2018-05-14 13:58:21,803 -  Variable_153
2018-05-14 13:58:21,803 -  Variable_154
2018-05-14 13:58:21,803 -  Variable_155
2018-05-14 13:58:21,804 -  Variable_156
2018-05-14 13:58:21,804 -  Variable_157
2018-05-14 13:58:21,804 -  Variable_158
2018-05-14 13:58:21,804 -  Variable_159
2018-05-14 13:58:21,804 -  Variable_160
2018-05-14 13:58:21,804 -  Variable_161
2018-05-14 13:58:21,804 -  Variable_162
2018-05-14 13:58:21,804 -  Variable_163
2018-05-14 13:58:21,804 -  Variable_164
2018-05-14 13:58:21,804 -  Variable_165
2018-05-14 13:58:21,804 -  Variable_166
2018-05-14 13:58:21,804 -  Variable_167
2018-05-14 13:58:21,804 -  Variable_168
2018-05-14 13:58:21,805 -  Variable_169
2018-05-14 13:58:21,805 -  Variable_170
2018-05-14 13:58:21,805 -  Variable_171
2018-05-14 13:58:21,805 -  Variable_172
2018-05-14 13:58:21,805 -  Variable_173
2018-05-14 13:58:21,805 -  Variable_174
2018-05-14 13:58:21,805 -  Variable_175
2018-05-14 13:58:21,805 -  Variable_176
2018-05-14 13:58:21,805 -  Variable_177
2018-05-14 13:58:21,805 -  Variable_178
2018-05-14 13:58:21,805 -  Variable_179
2018-05-14 13:58:21,805 -  Variable_180
2018-05-14 13:58:21,805 -  Variable_181
2018-05-14 13:58:21,806 -  Variable_182
2018-05-14 13:58:21,806 -  Variable_183
2018-05-14 13:58:21,806 -  Variable_184
2018-05-14 13:58:21,806 -  Variable_185
2018-05-14 13:58:21,806 -  Variable_186
2018-05-14 13:58:21,806 -  Variable_187
2018-05-14 13:58:21,806 -  Variable_188
2018-05-14 13:58:21,806 -  Variable_189
2018-05-14 13:58:21,806 -  Variable_190
2018-05-14 13:58:21,806 -  Variable_191
2018-05-14 13:58:21,806 -  Variable_192
2018-05-14 13:58:21,806 -  Variable_193
2018-05-14 13:58:21,806 -  Variable_194
2018-05-14 13:58:21,807 -  Variable_195
2018-05-14 13:58:21,807 -  Variable_196
2018-05-14 13:58:21,807 -  Variable_197
2018-05-14 13:58:21,807 -  Variable_198
2018-05-14 13:58:21,807 -  Variable_199
2018-05-14 13:58:21,807 -  Variable_200
2018-05-14 13:58:21,807 -  Variable_201
2018-05-14 13:58:21,807 -  Variable_202
2018-05-14 13:58:21,807 -  Variable_203
2018-05-14 13:58:21,807 -  Variable_204
2018-05-14 13:58:21,807 -  Variable_205
2018-05-14 13:58:21,807 -  Variable_206
2018-05-14 13:58:21,807 -  Variable_207
2018-05-14 13:58:21.922338: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 1, name: TITAN Xp, pci bus id: 0000:09:00.0, compute capability: 6.1)
2018-05-14 13:58:28,265 - bezier 0/10
2018-05-14 14:01:26,373 - t=   +0.0000 d=   +0.0000 c_train=   +0.1455 c_test=   +1.6767 a_train=   +0.9617 a_test=   +0.6351 diff(a)=   +0.0000 time(eighsh)=   +158.39 eigs=[   -4.2026    -9.7633    +9.8288   +10.9886   +12.4591   -14.2868   -15.6267   +16.3191   -18.5448   +23.2943]
2018-05-14 14:04:38,743 - t=   +0.0256 d= +171.9892 c_train=   +0.1893 c_test=   +1.6783 a_train=   +0.9386 a_test=   +0.6408 diff(a)=   +0.0057 time(eighsh)=   +177.13 eigs=[   +0.6225    -0.9228    -2.3526    -3.2123    -3.8885    -4.4325    +5.7726    +6.6950    +7.3586    -8.1167]
2018-05-14 14:06:07,153 - t=   +0.0513 d= +328.6735 c_train=   +0.1877 c_test=   +1.7442 a_train=   +0.9409 a_test=   +0.6366 diff(a)=   +0.0015 time(eighsh)=    +73.43 eigs=[   +0.0045    -0.0791    +0.7532    +2.5026    -3.5013    -4.6843    -4.9815    +5.0475    +5.1905    -5.6759]
2018-05-14 14:07:57,749 - t=   +0.0769 d= +471.7764 c_train=   +0.1697 c_test=   +1.8185 a_train=   +0.9496 a_test=   +0.6349 diff(a)=   -0.0002 time(eighsh)=    +95.33 eigs=[   +0.4901    +0.4941    -1.2878    +1.5725    -1.9486    +1.9882    -2.0005    +2.5849    -2.6049    -2.9506]
2018-05-14 14:11:03,434 - t=   +0.1026 d= +602.9160 c_train=   +0.1485 c_test=   +1.8956 a_train=   +0.9504 a_test=   +0.6336 diff(a)=   -0.0015 time(eighsh)=   +170.41 eigs=[   +0.0616    +0.5716    +0.8664    -1.1613    -1.6120    +1.8121    -2.2494    -2.7165    +2.8094    -3.5757]
2018-05-14 14:12:59,350 - t=   +0.1282 d= +723.3875 c_train=   +0.1409 c_test=   +1.9704 a_train=   +0.9571 a_test=   +0.6347 diff(a)=   -0.0004 time(eighsh)=   +101.46 eigs=[   +0.5920    +0.8510    +1.3713    +1.5210    +1.9706    -2.5851    -3.1231    +5.5949    -8.1480    +9.8812]
2018-05-14 14:13:35,428 - t=   +0.1538 d= +834.1293 c_train=   +0.1314 c_test=   +2.0401 a_train=   +0.9582 a_test=   +0.6331 diff(a)=   -0.0020 time(eighsh)=    +21.26 eigs=[   -0.3922    +4.2002    -4.5710    +4.7419    -8.2668    -9.4844   +10.8961   -12.1959   +12.3475   +13.5646]
2018-05-14 14:15:07,549 - t=   +0.1795 d= +935.8316 c_train=   +0.1169 c_test=   +2.1023 a_train=   +0.9607 a_test=   +0.6322 diff(a)=   -0.0029 time(eighsh)=    +78.09 eigs=[   +0.3684    -1.5864    +3.1457    +3.2714    -3.7556    +4.6485    +5.3468    -6.3141    +6.7783    -7.0176]
2018-05-14 14:16:50,380 - t=   +0.2051 d=+1029.0129 c_train=   +0.1216 c_test=   +2.1556 a_train=   +0.9619 a_test=   +0.6331 diff(a)=   -0.0020 time(eighsh)=    +87.90 eigs=[   +0.1041    +1.4696    +1.6801    -2.4547    +3.1946    -3.1952    -4.0932    +4.3274    +4.5341    -5.7130]
2018-05-14 14:19:44,238 - t=   +0.2308 d=+1114.0770 c_train=   +0.1108 c_test=   +2.2003 a_train=   +0.9639 a_test=   +0.6342 diff(a)=   -0.0009 time(eighsh)=   +158.92 eigs=[   +0.9143    +1.2442    -1.2645    -1.4658    -2.2410    -2.3544    -2.3905    -2.4520    +3.1563    +3.2533]
2018-05-14 14:21:44,742 - t=   +0.2564 d=+1191.3577 c_train=   +0.1051 c_test=   +2.2345 a_train=   +0.9656 a_test=   +0.6375 diff(a)=   +0.0024 time(eighsh)=   +105.59 eigs=[   +0.1846    +0.3887    -0.8443    +1.0328    +1.2633    +1.3995    +1.5198    +1.5612    +1.8925    +2.1186]
2018-05-14 14:33:03,911 - t=   +0.2821 d=+1261.1420 c_train=   +0.1067 c_test=   +2.2572 a_train=   +0.9651 a_test=   +0.6403 diff(a)=   +0.0052 time(eighsh)=   +664.25 eigs=[   +1.8634    +2.7981    +3.3352    -3.5211    -7.0447    +7.6285    -8.1737   -11.5240   +11.8988   -12.0435]
2018-05-14 14:41:05,886 - t=   +0.3077 d=+1323.6818 c_train=   +0.1050 c_test=   +2.2697 a_train=   +0.9650 a_test=   +0.6397 diff(a)=   +0.0046 time(eighsh)=   +467.04 eigs=[   -0.0618    -0.2179    +0.2250    -0.3314    -0.3535    -0.4272    +0.4361    -0.4542    +0.4792    +0.5570]
2018-05-14 14:41:56,404 - t=   +0.3333 d=+1379.1989 c_train=   +0.1043 c_test=   +2.2723 a_train=   +0.9648 a_test=   +0.6401 diff(a)=   +0.0050 time(eighsh)=    +35.40 eigs=[   -0.9441    +2.5984    -2.8486    -4.6519    +4.9389    -5.0234    +5.3041    +5.9990    -7.3121    -7.7318]
2018-05-14 14:43:16,597 - t=   +0.3590 d=+1427.8862 c_train=   +0.1069 c_test=   +2.2667 a_train=   +0.9649 a_test=   +0.6408 diff(a)=   +0.0057 time(eighsh)=    +65.29 eigs=[   -0.1239    +0.3666    +2.8969    -2.9346    -3.2943    +3.3922    +3.9267    -4.4753    -4.4767    -5.4366]
2018-05-14 14:45:43,120 - t=   +0.3846 d=+1469.9036 c_train=   +0.1047 c_test=   +2.2527 a_train=   +0.9630 a_test=   +0.6422 diff(a)=   +0.0071 time(eighsh)=   +131.79 eigs=[   +0.1459    -0.3148    -0.5334    -0.5642    -0.7299    -0.7566    +0.9788    +1.1733    +1.6318    +1.9557]
2018-05-14 14:48:13,255 - t=   +0.4103 d=+1505.3817 c_train=   +0.1108 c_test=   +2.2319 a_train=   +0.9611 a_test=   +0.6426 diff(a)=   +0.0075 time(eighsh)=   +135.17 eigs=[   -0.0588    -1.1452    +1.2272    -1.2528    +1.3100    +1.6148    +1.6482    -1.7578    -1.8717    -2.1211]
2018-05-14 14:48:54,853 - t=   +0.4359 d=+1534.4177 c_train=   +0.1241 c_test=   +2.2055 a_train=   +0.9587 a_test=   +0.6440 diff(a)=   +0.0089 time(eighsh)=    +26.45 eigs=[   -0.5514    +2.9355    -3.1729    -3.2794    +3.7375    -4.4475    +5.2491    -8.0355    +9.3532   -10.6204]
2018-05-14 14:58:52,387 - eigsh failed: ARPACK error -1: No convergence (501 iterations, 4/10 eigenvectors converged)
2018-05-14 14:58:52,390 - t=   +0.4615 d=+1557.0747 c_train=   +0.1266 c_test=   +2.1732 a_train=   +0.9593 a_test=   +0.6452 diff(a)=   +0.0101 time(eighsh)=   +583.28 eigs=[]
2018-05-14 14:59:42,462 - t=   +0.4872 d=+1573.3835 c_train=   +0.1378 c_test=   +2.1353 a_train=   +0.9525 a_test=   +0.6459 diff(a)=   +0.0108 time(eighsh)=    +35.90 eigs=[   +0.0155    +4.2015    -6.1773   +14.3577   +14.3666   -17.4867   +22.0594   -26.1384   +26.5089   -35.0766]
2018-05-14 15:01:12,603 - t=   +0.5128 d=+1583.3413 c_train=   +0.1492 c_test=   +2.0907 a_train=   +0.9498 a_test=   +0.6428 diff(a)=   +0.0077 time(eighsh)=    +76.00 eigs=[   -0.0073    -0.7599    -1.3427    -1.3909    -1.7814    -2.2947    +2.4027    +3.8510    -4.0795    -4.5972]
2018-05-14 15:02:49,126 - t=   +0.5385 d=+1586.9132 c_train=   +0.1589 c_test=   +2.0409 a_train=   +0.9466 a_test=   +0.6417 diff(a)=   +0.0066 time(eighsh)=    +81.46 eigs=[   +0.5890    -0.9956    +2.1300    -2.6019    +4.2670    +4.6640    -6.0783    +6.7148    -7.1847    +7.2619]
2018-05-14 15:04:20,895 - t=   +0.5641 d=+1584.0328 c_train=   +0.1750 c_test=   +1.9880 a_train=   +0.9397 a_test=   +0.6398 diff(a)=   +0.0047 time(eighsh)=    +76.84 eigs=[   +0.4985    -1.3651    -1.4112    -3.3740    +4.4564    -4.4704    -4.6006    +5.6052    +9.1222    +9.1264]
2018-05-14 15:05:18,220 - t=   +0.5897 d=+1574.6066 c_train=   +0.1890 c_test=   +1.9310 a_train=   +0.9378 a_test=   +0.6390 diff(a)=   +0.0039 time(eighsh)=    +42.17 eigs=[   +7.2632    -8.7409    +9.0275    -9.1079   +18.3591   -24.0693   +27.5567   +29.5675   -29.7285   +31.4464]
2018-05-14 15:06:49,255 - t=   +0.6154 d=+1558.5165 c_train=   +0.2073 c_test=   +1.8730 a_train=   +0.9322 a_test=   +0.6401 diff(a)=   +0.0050 time(eighsh)=    +76.08 eigs=[   -5.5675    -5.8583   -12.7845   +13.1665   +22.0231   -29.0913   -33.7517   +34.3040   +34.3090   -34.3688]
2018-05-14 15:10:17,893 - t=   +0.6410 d=+1535.6270 c_train=   +0.2241 c_test=   +1.8150 a_train=   +0.9264 a_test=   +0.6408 diff(a)=   +0.0057 time(eighsh)=   +193.79 eigs=[   -0.0954    -0.3276    -0.5517    -1.8291    +2.3166    +2.3896    -2.4188    -2.8277    +3.7754    -4.1873]
2018-05-14 15:14:11,576 - t=   +0.6667 d=+1505.7946 c_train=   +0.2528 c_test=   +1.7606 a_train=   +0.9214 a_test=   +0.6416 diff(a)=   +0.0065 time(eighsh)=   +218.85 eigs=[   -1.5030    +2.3641    +2.9509    +3.1819    +3.4525    -3.8107    -4.2019    +8.5790   +10.0614   -11.4224]
2018-05-14 15:15:48,191 - t=   +0.6923 d=+1468.8794 c_train=   +0.2664 c_test=   +1.7181 a_train=   +0.9090 a_test=   +0.6355 diff(a)=   +0.0004 time(eighsh)=    +82.10 eigs=[   +6.3943   -11.3306   -17.1354   +19.3020   +26.2145   -26.6132   +27.7505   +30.8027   -30.8847   +35.0749]
2018-05-14 15:18:32,314 - t=   +0.7179 d=+1424.7631 c_train=   +0.3100 c_test=   +1.6876 a_train=   +0.8992 a_test=   +0.6278 diff(a)=   -0.0073 time(eighsh)=   +149.53 eigs=[   +1.5148    +2.3991    -2.7822    -7.9087    +9.4020   +11.0024   +11.7851   -16.3632   +25.6884   -26.1350]
2018-05-14 15:19:53,223 - t=   +0.7436 d=+1373.3792 c_train=   +0.3493 c_test=   +1.6569 a_train=   +0.8848 a_test=   +0.6221 diff(a)=   -0.0130 time(eighsh)=    +65.89 eigs=[   +3.9610    -6.3393   -12.7566   -16.3444   -16.6465   +27.4046   +43.2032   +52.8131   -57.1989   -63.0033]
2018-05-14 15:23:24,063 - t=   +0.7692 d=+1314.7482 c_train=   +0.4119 c_test=   +1.6288 a_train=   +0.8678 a_test=   +0.6162 diff(a)=   -0.0189 time(eighsh)=   +195.87 eigs=[   -0.4667    +1.6766    -3.1348    -5.0770    +5.8740    +7.1455    -7.8991   -15.9659   +17.7841   -18.7986]
2018-05-14 15:26:05,739 - t=   +0.7949 d=+1249.0431 c_train=   +0.4773 c_test=   +1.6056 a_train=   +0.8500 a_test=   +0.6107 diff(a)=   -0.0244 time(eighsh)=   +146.95 eigs=[   -0.1650    -3.7505    +6.8602    -9.1391   -12.0373   -16.3917   +19.0409   +20.3822   -24.1422   +25.4913]
2018-05-14 15:27:44,806 - t=   +0.8205 d=+1176.6843 c_train=   +0.5468 c_test=   +1.5885 a_train=   +0.8302 a_test=   +0.6067 diff(a)=   -0.0284 time(eighsh)=    +84.05 eigs=[  -18.4969   +19.6063   +26.9161   +27.3206   -37.5479   -48.2732   +67.4927   -69.9190   +73.3163   +84.3216]
2018-05-14 15:29:47,797 - t=   +0.8462 d=+1098.5007 c_train=   +0.5867 c_test=   +1.5735 a_train=   +0.8149 a_test=   +0.6022 diff(a)=   -0.0329 time(eighsh)=   +107.82 eigs=[   -4.2495    -4.5645    -5.3692    +7.4410   +23.8583   -35.1755   +38.4239   +50.2847   -62.9637   +68.4711]
2018-05-14 15:42:00,488 - eigsh failed: ARPACK error -1: No convergence (501 iterations, 6/10 eigenvectors converged)
2018-05-14 15:42:00,495 - t=   +0.8718 d=+1016.0042 c_train=   +0.6020 c_test=   +1.5611 a_train=   +0.8097 a_test=   +0.6025 diff(a)=   -0.0326 time(eighsh)=   +718.16 eigs=[]
2018-05-14 15:43:18,645 - t=   +0.8974 d= +931.8899 c_train=   +0.5909 c_test=   +1.5508 a_train=   +0.8128 a_test=   +0.6100 diff(a)=   -0.0251 time(eighsh)=    +63.19 eigs=[   -3.9305    -5.0876    +7.2694    +8.2056   -15.2801   -19.6669   +21.3134   -25.0711   -31.5681   -32.1011]
2018-05-14 15:48:13,976 - t=   +0.9231 d= +850.9781 c_train=   +0.5573 c_test=   +1.5352 a_train=   +0.8190 a_test=   +0.6194 diff(a)=   -0.0157 time(eighsh)=   +280.32 eigs=[   -0.2981    -2.8461    -6.1874    +6.2140    -8.1457    -9.4868   -11.1025   -14.0785   +15.1963   +19.6935]
2018-05-14 15:50:19,262 - t=   +0.9487 d= +781.9592 c_train=   +0.5134 c_test=   +1.5465 a_train=   +0.8368 a_test=   +0.6234 diff(a)=   -0.0117 time(eighsh)=   +109.74 eigs=[   -1.5719    -2.8543    +9.2767   -10.1239   +11.8664   +16.2284   -17.6978   +18.2850   -21.6129   +27.4191]
2018-05-14 15:52:08,884 - t=   +0.9744 d= +740.0017 c_train=   +0.3712 c_test=   +1.5874 a_train=   +0.8816 a_test=   +0.6349 diff(a)=   -0.0002 time(eighsh)=    +94.33 eigs=[   +2.0987    +2.2772    +5.2705    -6.1354    +6.3822   -10.6531   +15.2224   -18.4763   -32.0870   -32.3550]
2018-05-14 15:55:21,660 - t=   +1.0000 d= +747.7407 c_train=   +0.1265 c_test=   +1.7203 a_train=   +0.9659 a_test=   +0.6375 diff(a)=   +0.0024 time(eighsh)=   +177.81 eigs=[   -1.1564    -2.1474    -4.5294    +4.5884    +5.8961    +6.0936    +8.0879   -10.2288   -15.9731   -20.0803]
2018-05-14 15:55:21,661 - bezier 1/10
2018-05-14 16:01:35,153 - t=   +0.0000 d=   +0.0000 c_train=   +0.1408 c_test=   +1.6767 a_train=   +0.9611 a_test=   +0.6351 diff(a)=   +0.0000 time(eighsh)=   +356.93 eigs=[   -0.2525    -2.3305    +2.7923    +3.2905    -3.7257    +3.8275    +4.2307    +5.2431    +9.0263    +9.2176]
2018-05-14 16:05:03,352 - t=   +0.0256 d= +171.9892 c_train=   +0.1924 c_test=   +1.6783 a_train=   +0.9407 a_test=   +0.6408 diff(a)=   +0.0057 time(eighsh)=   +192.97 eigs=[   +0.2983    -0.9286    -1.3422    +2.0022    -2.0327    +2.6200    +2.8491    -3.0320    +4.0145    +5.9905]
2018-05-14 16:07:40,658 - t=   +0.0513 d= +328.6735 c_train=   +0.1830 c_test=   +1.7442 a_train=   +0.9401 a_test=   +0.6366 diff(a)=   +0.0015 time(eighsh)=   +142.28 eigs=[   +0.1068    +0.3967    +1.2593    +1.6405    -2.6285    +3.8542    -4.1274    -4.4679    -4.9530    +5.0606]
2018-05-14 16:08:41,749 - t=   +0.0769 d= +471.7764 c_train=   +0.1711 c_test=   +1.8185 a_train=   +0.9460 a_test=   +0.6349 diff(a)=   -0.0002 time(eighsh)=    +46.20 eigs=[   +0.1574    +0.9741    -2.3909    +3.0822    -4.1331    -4.3478    -4.8004    +5.0480    +5.0647    -6.4062]
2018-05-14 16:09:32,652 - t=   +0.1026 d= +602.9160 c_train=   +0.1525 c_test=   +1.8956 a_train=   +0.9513 a_test=   +0.6336 diff(a)=   -0.0015 time(eighsh)=    +35.96 eigs=[   +1.8682    +3.0805    -3.0824    -3.5499    +3.6292    -4.1494    +6.0196    +8.0361    -8.1501   +10.1722]
2018-05-14 16:10:55,234 - t=   +0.1282 d= +723.3875 c_train=   +0.1372 c_test=   +1.9704 a_train=   +0.9550 a_test=   +0.6347 diff(a)=   -0.0004 time(eighsh)=    +68.40 eigs=[   -0.8230    -1.6670    +2.4207    +3.6592    -4.7182    +5.3232    -8.0093    +8.2493    -8.8749    -9.8074]
2018-05-14 16:15:55,891 - eigsh failed: ARPACK error -1: No convergence (501 iterations, 6/10 eigenvectors converged)
2018-05-14 16:15:55,897 - t=   +0.1538 d= +834.1293 c_train=   +0.1317 c_test=   +2.0401 a_train=   +0.9589 a_test=   +0.6331 diff(a)=   -0.0020 time(eighsh)=   +285.52 eigs=[]
2018-05-14 16:17:29,893 - t=   +0.1795 d= +935.8316 c_train=   +0.1220 c_test=   +2.1023 a_train=   +0.9633 a_test=   +0.6322 diff(a)=   -0.0029 time(eighsh)=    +78.98 eigs=[   -0.0976    -0.3615    -1.0752    +1.1632    -1.2304    +1.5264    -3.0662    +4.7089    -5.6153    +6.9142]
2018-05-14 16:19:12,767 - t=   +0.2051 d=+1029.0129 c_train=   +0.1166 c_test=   +2.1556 a_train=   +0.9640 a_test=   +0.6331 diff(a)=   -0.0020 time(eighsh)=    +88.68 eigs=[   +0.6584    +0.6718    -0.8548    +1.1444    -1.4954    +1.6654    -1.7497    +1.8001    -2.3097    +2.6528]
2018-05-14 16:20:33,130 - t=   +0.2308 d=+1114.0770 c_train=   +0.1128 c_test=   +2.2003 a_train=   +0.9663 a_test=   +0.6342 diff(a)=   -0.0009 time(eighsh)=    +66.14 eigs=[   +0.3075    +0.3964    -1.2003    -1.2272    +1.9456    +2.0454    +2.3221    -3.5455    -3.8836    +3.9026]
2018-05-14 16:22:05,204 - t=   +0.2564 d=+1191.3577 c_train=   +0.1072 c_test=   +2.2345 a_train=   +0.9651 a_test=   +0.6375 diff(a)=   +0.0024 time(eighsh)=    +77.77 eigs=[   +0.1947    -0.3198    +0.5678    +0.8611    +0.9844    +1.5258    +1.9179    -1.9752    +2.0301    -2.6247]
2018-05-14 16:23:14,899 - t=   +0.2821 d=+1261.1420 c_train=   +0.1044 c_test=   +2.2572 a_train=   +0.9658 a_test=   +0.6403 diff(a)=   +0.0052 time(eighsh)=    +54.58 eigs=[   +0.9742    -4.7203    +5.5669    -5.7498    +5.7561    +6.3135    -9.0103   +10.6339   -12.2210   -15.7404]
2018-05-14 16:27:20,907 - t=   +0.3077 d=+1323.6818 c_train=   +0.1019 c_test=   +2.2697 a_train=   +0.9647 a_test=   +0.6397 diff(a)=   +0.0046 time(eighsh)=   +231.73 eigs=[   +0.2037    +0.2531    +0.3593    +0.3692    -0.3699    +0.4434    +0.5838    +0.5988    -0.7189    +1.0297]
2018-05-14 16:28:21,453 - t=   +0.3333 d=+1379.1989 c_train=   +0.1057 c_test=   +2.2723 a_train=   +0.9630 a_test=   +0.6401 diff(a)=   +0.0050 time(eighsh)=    +45.52 eigs=[   +0.0588    -0.7075    +0.9592    -1.7543    +1.9907    -2.4703    -2.5741    +3.5751    -3.8718    +4.0588]
2018-05-14 16:30:16,141 - t=   +0.3590 d=+1427.8862 c_train=   +0.1101 c_test=   +2.2667 a_train=   +0.9641 a_test=   +0.6408 diff(a)=   +0.0057 time(eighsh)=    +99.53 eigs=[   +0.5012    -0.6420    +0.7754    -0.8735    -1.1146    +1.8065    -2.3310    +2.6826    -2.9096    +3.6001]
2018-05-14 16:32:58,725 - t=   +0.3846 d=+1469.9036 c_train=   +0.1094 c_test=   +2.2527 a_train=   +0.9648 a_test=   +0.6422 diff(a)=   +0.0071 time(eighsh)=   +148.51 eigs=[   -0.3867    -0.4204    +0.4361    -0.7787    -0.8024    +1.1203    +1.1607    +1.4938    -1.7395    -1.7954]
2018-05-14 16:35:11,783 - t=   +0.4103 d=+1505.3817 c_train=   +0.1172 c_test=   +2.2319 a_train=   +0.9629 a_test=   +0.6426 diff(a)=   +0.0075 time(eighsh)=   +118.75 eigs=[   +0.0266    +0.3760    -0.6068    +1.0950    -1.4016    +1.4734    -1.7142    -1.7558    +2.0528    -2.1757]
2018-05-14 16:35:53,185 - t=   +0.4359 d=+1534.4177 c_train=   +0.1261 c_test=   +2.2055 a_train=   +0.9628 a_test=   +0.6440 diff(a)=   +0.0089 time(eighsh)=    +27.24 eigs=[   +0.0209    -0.4767    -2.9345    -3.1061    -4.1788    -5.9927    +6.6863    +6.9052    +7.9304    -8.0982]
2018-05-14 16:38:14,755 - t=   +0.4615 d=+1557.0747 c_train=   +0.1310 c_test=   +2.1732 a_train=   +0.9567 a_test=   +0.6452 diff(a)=   +0.0101 time(eighsh)=   +126.77 eigs=[   -0.3804    -0.8767    +1.2178    +1.5637    +2.5513    -2.8003    +3.7737    -4.0670    -4.8604    +4.9744]
2018-05-14 16:39:20,873 - t=   +0.4872 d=+1573.3835 c_train=   +0.1363 c_test=   +2.1353 a_train=   +0.9554 a_test=   +0.6459 diff(a)=   +0.0108 time(eighsh)=    +51.16 eigs=[   -4.6331    +6.5146   +11.7083   -16.0449   +22.8288   +25.7572   +26.5214   -26.7542   -34.6444   -34.7626]
2018-05-14 16:40:24,137 - t=   +0.5128 d=+1583.3413 c_train=   +0.1469 c_test=   +2.0907 a_train=   +0.9500 a_test=   +0.6428 diff(a)=   +0.0077 time(eighsh)=    +48.95 eigs=[   -1.0148    -1.4210    -2.1460    +3.3162    -3.6232    +3.6783    +5.3360    -5.9224    -6.6559    +6.8919]
2018-05-14 16:41:35,276 - t=   +0.5385 d=+1586.9132 c_train=   +0.1600 c_test=   +2.0409 a_train=   +0.9486 a_test=   +0.6417 diff(a)=   +0.0066 time(eighsh)=    +56.18 eigs=[   +4.0698    +5.2453    -6.1355    +6.2018    -6.8247    -9.6388   +11.6306   -12.8449   -14.1635   +14.5231]
2018-05-14 16:42:56,941 - t=   +0.5641 d=+1584.0328 c_train=   +0.1753 c_test=   +1.9880 a_train=   +0.9421 a_test=   +0.6398 diff(a)=   +0.0047 time(eighsh)=    +66.64 eigs=[   -0.1038    -0.3453    +1.8445    +3.3673    +3.5299    -9.0285    -9.9488   -10.2377   +13.4133   +13.4491]
2018-05-14 16:45:30,832 - t=   +0.5897 d=+1574.6066 c_train=   +0.1886 c_test=   +1.9310 a_train=   +0.9353 a_test=   +0.6390 diff(a)=   +0.0039 time(eighsh)=   +139.87 eigs=[   +2.3738    +3.6162    +8.0378   -10.3251   +10.8221   -14.8021   -18.5735   -20.3479   +25.4146   +25.8490]
2018-05-14 16:46:53,111 - t=   +0.6154 d=+1558.5165 c_train=   +0.2080 c_test=   +1.8730 a_train=   +0.9306 a_test=   +0.6401 diff(a)=   +0.0050 time(eighsh)=    +67.31 eigs=[   +4.2458   -14.1543   +19.7075   -29.0155   +34.0868   +42.6439   -45.4045   -48.8907   -52.5521   -57.6936]
2018-05-14 16:50:34,287 - t=   +0.6410 d=+1535.6270 c_train=   +0.2196 c_test=   +1.8150 a_train=   +0.9250 a_test=   +0.6408 diff(a)=   +0.0057 time(eighsh)=   +206.30 eigs=[   +0.1296    -0.1701    -0.3304    +1.0607    +1.2958    -1.5950    +2.1960    -2.8171    -2.9987    -3.7531]
2018-05-14 16:54:07,704 - t=   +0.6667 d=+1505.7946 c_train=   +0.2462 c_test=   +1.7606 a_train=   +0.9202 a_test=   +0.6416 diff(a)=   +0.0065 time(eighsh)=   +198.48 eigs=[   +0.1908    +2.6415    +5.0285    -5.6435    +6.0329    -6.2849    +7.0718    +9.6607    -9.6851   +10.5286]
2018-05-14 16:56:36,929 - t=   +0.6923 d=+1468.8794 c_train=   +0.2731 c_test=   +1.7181 a_train=   +0.9095 a_test=   +0.6355 diff(a)=   +0.0004 time(eighsh)=   +135.01 eigs=[   -2.1640    +2.6006    -3.7749    +6.1465    -6.7189   -10.0821   -13.4706   +21.8047   -21.8257   +21.9043]
2018-05-14 16:58:17,572 - t=   +0.7179 d=+1424.7631 c_train=   +0.3024 c_test=   +1.6876 a_train=   +0.9025 a_test=   +0.6278 diff(a)=   -0.0073 time(eighsh)=    +85.42 eigs=[   -7.3977   -11.3243   -13.4577   +25.9500   +26.0534   +29.1785   +31.2996   +31.9868   +35.5729   -39.2137]
2018-05-14 16:59:45,174 - t=   +0.7436 d=+1373.3792 c_train=   +0.3572 c_test=   +1.6569 a_train=   +0.8856 a_test=   +0.6221 diff(a)=   -0.0130 time(eighsh)=    +72.68 eigs=[   -5.7253    -6.5302   -13.6254   -18.1923   +18.7050   -19.7359   +20.5033   +27.2111   +34.3515   -38.2443]
2018-05-14 17:04:57,904 - t=   +0.7692 d=+1314.7482 c_train=   +0.4119 c_test=   +1.6288 a_train=   +0.8657 a_test=   +0.6162 diff(a)=   -0.0189 time(eighsh)=   +297.89 eigs=[   -0.0604    +0.1295    +1.7303    +4.2347    -4.3162    +5.4683    +6.9350    -8.1806    +8.9027    -9.1686]
2018-05-14 17:07:16,017 - t=   +0.7949 d=+1249.0431 c_train=   +0.4739 c_test=   +1.6056 a_train=   +0.8499 a_test=   +0.6107 diff(a)=   -0.0244 time(eighsh)=   +123.29 eigs=[   -0.6167    -8.6064    +8.8395   +13.7468   -16.5055   -19.4383   -33.6961   -35.9826   +44.8353   +50.4310]
2018-05-14 17:08:34,690 - t=   +0.8205 d=+1176.6843 c_train=   +0.5364 c_test=   +1.5885 a_train=   +0.8307 a_test=   +0.6067 diff(a)=   -0.0284 time(eighsh)=    +64.22 eigs=[  +10.8598   -22.7513   +36.6654   +58.0283   -63.5274   +63.6335   -70.9679   -81.4956   +83.2648   +86.0409]
2018-05-14 17:10:39,779 - t=   +0.8462 d=+1098.5007 c_train=   +0.5869 c_test=   +1.5735 a_train=   +0.8169 a_test=   +0.6022 diff(a)=   -0.0329 time(eighsh)=   +110.10 eigs=[   +3.1308   -21.0099   -21.6322   +27.8931   +29.7266   +35.9214   -38.8608   +43.2270   +43.8193   -45.4541]
2018-05-14 17:11:55,788 - t=   +0.8718 d=+1016.0042 c_train=   +0.6015 c_test=   +1.5611 a_train=   +0.8111 a_test=   +0.6025 diff(a)=   -0.0326 time(eighsh)=    +60.87 eigs=[   +0.4194   +12.0540   +12.7396   -28.2969   -37.7656   +55.9204   +65.9048   +73.1794   +88.4595  -113.6904]
2018-05-14 17:14:07,830 - t=   +0.8974 d= +931.8899 c_train=   +0.5785 c_test=   +1.5508 a_train=   +0.8166 a_test=   +0.6100 diff(a)=   -0.0251 time(eighsh)=   +117.14 eigs=[   +0.0179    -1.4984    -3.5962   +10.2257   -11.9235   -12.2377   -16.1551   -18.2132   +22.6913   -23.3197]
2018-05-14 17:18:26,481 - t=   +0.9231 d= +850.9781 c_train=   +0.5525 c_test=   +1.5352 a_train=   +0.8218 a_test=   +0.6194 diff(a)=   -0.0157 time(eighsh)=   +244.63 eigs=[   -9.6694   +18.1754   -18.7549   +20.0716   +20.5787   -25.0519   -25.7286   +27.6026   +31.3822   -32.1496]
2018-05-14 17:23:12,560 - t=   +0.9487 d= +781.9592 c_train=   +0.5092 c_test=   +1.5465 a_train=   +0.8371 a_test=   +0.6234 diff(a)=   -0.0117 time(eighsh)=   +271.24 eigs=[   -2.6779    +2.8292    -3.1355    -3.3559    -6.4739    -7.2657    +7.7420    +8.1871    -9.3556   -10.8543]
2018-05-14 17:24:33,349 - t=   +0.9744 d= +740.0017 c_train=   +0.3598 c_test=   +1.5874 a_train=   +0.8782 a_test=   +0.6349 diff(a)=   -0.0002 time(eighsh)=    +66.23 eigs=[   -6.9634    +9.9304   +14.1463   +14.9010   -20.1633   +26.0078   -35.4327   -37.0877   -45.2165   +46.0140]
2018-05-14 17:29:31,227 - t=   +1.0000 d= +747.7407 c_train=   +0.1277 c_test=   +1.7203 a_train=   +0.9659 a_test=   +0.6375 diff(a)=   +0.0024 time(eighsh)=   +283.49 eigs=[   +0.1351    -2.4733    -4.3474    +4.7553    -5.5043    +6.1975    +6.6171    +9.3183    -9.9723   -11.0447]
2018-05-14 17:29:31,234 - bezier 2/10
2018-05-14 17:36:05,802 - t=   +0.0000 d=   +0.0000 c_train=   +0.1414 c_test=   +1.6767 a_train=   +0.9616 a_test=   +0.6351 diff(a)=   +0.0000 time(eighsh)=   +378.77 eigs=[   -0.5753    +4.3272    -5.9734    +7.1092    +8.0163   -10.6959   -11.0052   +11.9212   -12.0522   +12.5781]
2018-05-14 17:40:43,070 - t=   +0.0256 d= +171.9892 c_train=   +0.1963 c_test=   +1.6783 a_train=   +0.9386 a_test=   +0.6408 diff(a)=   +0.0057 time(eighsh)=   +262.14 eigs=[   -0.0781    +0.1558    +0.9545    +1.2853    -2.3386    -2.9502    -3.3384    +3.5929    +3.7339    -3.9181]
2018-05-14 17:43:19,626 - t=   +0.0513 d= +328.6735 c_train=   +0.1895 c_test=   +1.7442 a_train=   +0.9420 a_test=   +0.6366 diff(a)=   +0.0015 time(eighsh)=   +142.18 eigs=[   -0.3097    -0.8678    -1.2966    +1.7923    -2.7915    +3.0864    -3.4917    -3.5880    +3.9660    +4.1097]
2018-05-14 17:44:22,690 - t=   +0.0769 d= +471.7764 c_train=   +0.1671 c_test=   +1.8185 a_train=   +0.9486 a_test=   +0.6349 diff(a)=   -0.0002 time(eighsh)=    +48.68 eigs=[   +0.2140    +0.3005    -0.9900    +2.8347    -3.4187    +4.1624    +4.2643    +4.3131    -4.9061    -5.3685]
2018-05-14 17:48:19,558 - t=   +0.1026 d= +602.9160 c_train=   +0.1502 c_test=   +1.8956 a_train=   +0.9513 a_test=   +0.6336 diff(a)=   -0.0015 time(eighsh)=   +222.70 eigs=[   -0.0638    -0.4241    -0.5503    +0.7163    +0.7653    -0.8759    +1.0272    -1.3538    +1.3811    -1.4903]
2018-05-14 17:50:03,392 - t=   +0.1282 d= +723.3875 c_train=   +0.1367 c_test=   +1.9704 a_train=   +0.9546 a_test=   +0.6347 diff(a)=   -0.0004 time(eighsh)=    +89.65 eigs=[   -0.5761    +0.8323    +2.4516    -2.5620    +2.6281    -3.7930    +4.4519    +4.5264    -5.3750    +5.4565]
2018-05-14 17:51:22,321 - t=   +0.1538 d= +834.1293 c_train=   +0.1286 c_test=   +2.0401 a_train=   +0.9596 a_test=   +0.6331 diff(a)=   -0.0020 time(eighsh)=    +63.85 eigs=[   -0.1027    -0.8307    +2.0986    -2.7163    +2.7895    -3.3941    -5.2152    +5.3106    +6.5420    -6.6147]
2018-05-14 18:03:58,848 - eigsh failed: ARPACK error -1: No convergence (501 iterations, 6/10 eigenvectors converged)
2018-05-14 18:03:58,852 - t=   +0.1795 d= +935.8316 c_train=   +0.1223 c_test=   +2.1023 a_train=   +0.9596 a_test=   +0.6322 diff(a)=   -0.0029 time(eighsh)=   +741.88 eigs=[]
2018-05-14 18:05:12,544 - t=   +0.2051 d=+1029.0129 c_train=   +0.1185 c_test=   +2.1556 a_train=   +0.9620 a_test=   +0.6331 diff(a)=   -0.0020 time(eighsh)=    +58.70 eigs=[   +0.0785    +0.0889    +0.5418    -1.0347    +2.8797    -3.5560    +4.8068    -5.3483    +5.5154    +5.7277]
2018-05-14 18:06:47,561 - t=   +0.2308 d=+1114.0770 c_train=   +0.1135 c_test=   +2.2003 a_train=   +0.9651 a_test=   +0.6342 diff(a)=   -0.0009 time(eighsh)=    +80.07 eigs=[   +1.0574    -1.7637    -1.9226    +1.9673    -2.8332    -3.1604    -3.3506    -3.6596    +4.2706    -4.4877]
2018-05-14 18:08:55,068 - t=   +0.2564 d=+1191.3577 c_train=   +0.1066 c_test=   +2.2345 a_train=   +0.9643 a_test=   +0.6375 diff(a)=   +0.0024 time(eighsh)=   +112.58 eigs=[   +0.0223    -0.0263    -0.1904    -0.5096    +0.5613    +0.9406    +1.0308    +1.1156    -1.2951    -1.3397]
2018-05-14 18:09:53,371 - t=   +0.2821 d=+1261.1420 c_train=   +0.1073 c_test=   +2.2572 a_train=   +0.9646 a_test=   +0.6403 diff(a)=   +0.0052 time(eighsh)=    +43.36 eigs=[   +0.4669    +1.7830    +3.1179    +3.3397    -4.1060    +4.7260    +5.2838    +5.9176    -8.0999   +10.8994]
2018-05-14 18:14:10,565 - t=   +0.3077 d=+1323.6818 c_train=   +0.1076 c_test=   +2.2697 a_train=   +0.9659 a_test=   +0.6397 diff(a)=   +0.0046 time(eighsh)=   +242.77 eigs=[   +0.1368    -0.2661    +0.2949    -0.4410    +0.5007    -0.5157    +0.6830    -0.7676    -0.8167    +0.8648]
2018-05-14 18:15:01,023 - t=   +0.3333 d=+1379.1989 c_train=   +0.1040 c_test=   +2.2723 a_train=   +0.9656 a_test=   +0.6401 diff(a)=   +0.0050 time(eighsh)=    +35.57 eigs=[   +0.1247    -0.4580    -0.6376    +0.7699    +1.8577    -2.7028    +3.4695    -3.4727    -3.7934    -4.3570]
2018-05-14 18:17:50,249 - t=   +0.3590 d=+1427.8862 c_train=   +0.1065 c_test=   +2.2667 a_train=   +0.9654 a_test=   +0.6408 diff(a)=   +0.0057 time(eighsh)=   +154.37 eigs=[   -0.4196    -0.5582    +0.9918    -2.3171    -2.9617    -3.2824    +4.4923    +5.0948    +5.4349    +5.6700]
2018-05-14 18:24:20,933 - t=   +0.3846 d=+1469.9036 c_train=   +0.1089 c_test=   +2.2527 a_train=   +0.9631 a_test=   +0.6422 diff(a)=   +0.0071 time(eighsh)=   +375.72 eigs=[   -0.0617    -0.2359    -0.2747    +0.5762    -0.7569    -0.8212    -0.8303    +0.8784    -1.0039    +1.2199]
2018-05-14 18:27:00,321 - t=   +0.4103 d=+1505.3817 c_train=   +0.1115 c_test=   +2.2319 a_train=   +0.9617 a_test=   +0.6426 diff(a)=   +0.0075 time(eighsh)=   +144.72 eigs=[   +0.1764    +0.5675    +0.6764    +1.3626    -1.6448    -1.7533    -1.8543    +2.2357    +2.3351    +2.6982]
2018-05-14 18:28:42,304 - t=   +0.4359 d=+1534.4177 c_train=   +0.1172 c_test=   +2.2055 a_train=   +0.9567 a_test=   +0.6440 diff(a)=   +0.0089 time(eighsh)=    +87.08 eigs=[   +0.0613    -0.0686    +0.4541    +0.7841    -1.7825    +3.2984    +3.6576    +4.2129    +4.9228    +5.3696]
2018-05-14 18:30:05,561 - t=   +0.4615 d=+1557.0747 c_train=   +0.1266 c_test=   +2.1732 a_train=   +0.9566 a_test=   +0.6452 diff(a)=   +0.0101 time(eighsh)=    +68.97 eigs=[   -0.3152    -0.4311    -0.5947    +0.9946    -1.7194    +2.2211    -3.1894    +4.4770    -4.8037    -4.9210]
2018-05-14 18:31:15,114 - t=   +0.4872 d=+1573.3835 c_train=   +0.1368 c_test=   +2.1353 a_train=   +0.9523 a_test=   +0.6459 diff(a)=   +0.0108 time(eighsh)=    +54.93 eigs=[   -1.7025    +2.1914    -3.6251    +4.8041    -4.8814    +9.0728    -9.2983   -10.5811   -12.0455   +14.7276]
2018-05-14 18:32:38,240 - t=   +0.5128 d=+1583.3413 c_train=   +0.1457 c_test=   +2.0907 a_train=   +0.9494 a_test=   +0.6428 diff(a)=   +0.0077 time(eighsh)=    +68.39 eigs=[   -0.0040    +0.2714    +0.6960    -2.0647    -3.9402    +4.7036    +4.8381    +5.7795    -6.6450    +8.9772]
2018-05-14 18:38:00,828 - t=   +0.5385 d=+1586.9132 c_train=   +0.1605 c_test=   +2.0409 a_train=   +0.9459 a_test=   +0.6417 diff(a)=   +0.0066 time(eighsh)=   +308.58 eigs=[   -0.3052    +0.7580    +3.7033    +5.0641    +5.2846    +6.8768    -7.8659   +10.5607   +11.0078   +11.0154]
2018-05-14 18:39:16,480 - t=   +0.5641 d=+1584.0328 c_train=   +0.1803 c_test=   +1.9880 a_train=   +0.9425 a_test=   +0.6398 diff(a)=   +0.0047 time(eighsh)=    +60.64 eigs=[   -0.1482    +0.2710    -1.5453    -1.7880    -2.4292    +4.6889    -5.6876    +6.4045    +7.0163    -7.8721]
2018-05-14 18:40:35,182 - t=   +0.5897 d=+1574.6066 c_train=   +0.1885 c_test=   +1.9310 a_train=   +0.9384 a_test=   +0.6390 diff(a)=   +0.0039 time(eighsh)=    +63.79 eigs=[   -3.3402    -3.8080    +6.6607    -7.7800   -10.3074   -13.2136   -18.3093   +19.4115   +26.2711   -29.8674]
2018-05-14 18:43:30,004 - t=   +0.6154 d=+1558.5165 c_train=   +0.2037 c_test=   +1.8730 a_train=   +0.9314 a_test=   +0.6401 diff(a)=   +0.0050 time(eighsh)=   +160.50 eigs=[   +0.3113    +0.3619    +1.2814    +5.6180    +8.3982    -8.6680    -8.8816   +10.3089   +10.4779   +14.2614]
2018-05-14 18:46:17,518 - t=   +0.6410 d=+1535.6270 c_train=   +0.2272 c_test=   +1.8150 a_train=   +0.9261 a_test=   +0.6408 diff(a)=   +0.0057 time(eighsh)=   +153.19 eigs=[   +0.0811    +0.6389    -1.2204    -2.4743    +3.1266    +3.4416    -4.1087    -5.6269    -6.2963    -7.4163]
2018-05-14 18:48:06,857 - t=   +0.6667 d=+1505.7946 c_train=   +0.2413 c_test=   +1.7606 a_train=   +0.9186 a_test=   +0.6416 diff(a)=   +0.0065 time(eighsh)=    +94.58 eigs=[   +0.0274    -5.7080    -6.3703    -9.2361    -9.4741   +11.1099   -11.4041   +12.5913   +15.3388   -16.5769]
2018-05-14 18:52:22,308 - t=   +0.6923 d=+1468.8794 c_train=   +0.2679 c_test=   +1.7181 a_train=   +0.9086 a_test=   +0.6355 diff(a)=   +0.0004 time(eighsh)=   +240.93 eigs=[   +0.0752    -0.1001    +0.5257    +1.6303    +2.0410    -2.2534    -2.6507    -2.8878    -5.4915    -7.7215]
2018-05-14 18:54:22,064 - t=   +0.7179 d=+1424.7631 c_train=   +0.3110 c_test=   +1.6876 a_train=   +0.8967 a_test=   +0.6278 diff(a)=   -0.0073 time(eighsh)=   +104.82 eigs=[   -5.5340    +6.5347   +11.2519   +11.9759   -14.4678   +15.7827   -19.7128   -24.3877   +25.9456   +32.6090]
2018-05-14 18:55:43,413 - t=   +0.7436 d=+1373.3792 c_train=   +0.3617 c_test=   +1.6569 a_train=   +0.8862 a_test=   +0.6221 diff(a)=   -0.0130 time(eighsh)=    +66.39 eigs=[   +6.9843   -17.1909   +18.1659   +20.3105   -21.6573   +21.8727   -33.6133   +37.3400   +40.2417   +60.8207]
2018-05-14 19:00:25,996 - t=   +0.7692 d=+1314.7482 c_train=   +0.4056 c_test=   +1.6288 a_train=   +0.8700 a_test=   +0.6162 diff(a)=   -0.0189 time(eighsh)=   +267.97 eigs=[   -2.0077    -5.4888    +5.7806    -6.8669    +7.2032    -7.7336   +11.1610   -11.1746   -11.8526   -12.3626]
2018-05-14 19:02:12,617 - t=   +0.7949 d=+1249.0431 c_train=   +0.4753 c_test=   +1.6056 a_train=   +0.8534 a_test=   +0.6107 diff(a)=   -0.0244 time(eighsh)=    +92.15 eigs=[   -1.1601   -10.1379   -14.0509   +15.3668   -15.7366   +20.9718   +29.7256   -31.3240   +37.7955   -41.5350]
2018-05-14 19:04:12,533 - t=   +0.8205 d=+1176.6843 c_train=   +0.5349 c_test=   +1.5885 a_train=   +0.8324 a_test=   +0.6067 diff(a)=   -0.0284 time(eighsh)=   +105.11 eigs=[  -19.2095   +33.1850   -35.7945   +41.2494   -44.6509   +49.2671   +55.6142   +56.9168   -59.5450   -60.5163]
2018-05-14 19:06:02,941 - t=   +0.8462 d=+1098.5007 c_train=   +0.5809 c_test=   +1.5735 a_train=   +0.8154 a_test=   +0.6022 diff(a)=   -0.0329 time(eighsh)=    +95.48 eigs=[   -3.4682    +5.2950    +6.6409    -6.9429    -7.0874   +11.3352   -19.2252   -29.8228   -31.3787   -42.8596]
2018-05-14 19:08:29,266 - t=   +0.8718 d=+1016.0042 c_train=   +0.6099 c_test=   +1.5611 a_train=   +0.8151 a_test=   +0.6025 diff(a)=   -0.0326 time(eighsh)=   +131.45 eigs=[   -3.4990    +4.9457   +15.9433   -25.6476   +45.7351   +69.0086   -73.5400   +74.0743  -109.3401  -125.0951]
2018-05-14 19:09:46,542 - t=   +0.8974 d= +931.8899 c_train=   +0.5949 c_test=   +1.5508 a_train=   +0.8154 a_test=   +0.6100 diff(a)=   -0.0251 time(eighsh)=    +62.76 eigs=[   +4.9708    -5.2230   +14.8172   +35.1744   -43.2366   -45.1209   +48.7808   -54.2782   +62.8271   -64.5238]
2018-05-14 19:21:13,362 - t=   +0.9231 d= +850.9781 c_train=   +0.5620 c_test=   +1.5352 a_train=   +0.8234 a_test=   +0.6194 diff(a)=   -0.0157 time(eighsh)=   +671.98 eigs=[   +0.8143    -2.2023    +2.5147    -5.7661    -5.8663    -7.7267    -7.7862   +10.8555   +11.0122   -13.7922]
2018-05-14 19:24:14,548 - t=   +0.9487 d= +781.9592 c_train=   +0.5210 c_test=   +1.5465 a_train=   +0.8354 a_test=   +0.6234 diff(a)=   -0.0117 time(eighsh)=   +166.80 eigs=[   +2.5552    -3.1029    -3.6271    -3.6922    +4.8259    +5.9392   -10.1189   -11.3925   +11.8906   -11.9453]
2018-05-14 19:26:07,189 - t=   +0.9744 d= +740.0017 c_train=   +0.3636 c_test=   +1.5874 a_train=   +0.8782 a_test=   +0.6349 diff(a)=   -0.0002 time(eighsh)=    +98.02 eigs=[   +4.7632    -4.8204    -5.0015    +8.8329   +10.4285   -14.7596   +19.3823   +20.3206   -22.2046   +22.9267]
2018-05-14 19:31:56,075 - t=   +1.0000 d= +747.7407 c_train=   +0.1273 c_test=   +1.7203 a_train=   +0.9641 a_test=   +0.6375 diff(a)=   +0.0024 time(eighsh)=   +334.75 eigs=[   +3.1724    +3.7362    -4.2418    +5.4058    +5.7001    -6.9677    +8.1767    +8.8673   +10.0063   +10.1000]
2018-05-14 19:31:56,075 - bezier 3/10
2018-05-14 19:35:26,205 - t=   +0.0000 d=   +0.0000 c_train=   +0.1408 c_test=   +1.6767 a_train=   +0.9609 a_test=   +0.6351 diff(a)=   +0.0000 time(eighsh)=   +193.43 eigs=[   +0.7808    -1.5078    +2.1957    -2.4284    +7.4719   -10.5527   +18.0809   -18.9684   +19.2307   -20.1815]
2018-05-14 19:38:05,645 - t=   +0.0256 d= +171.9892 c_train=   +0.1900 c_test=   +1.6783 a_train=   +0.9414 a_test=   +0.6408 diff(a)=   +0.0057 time(eighsh)=   +145.16 eigs=[   -0.2599    +0.6982    +1.1633    -3.4465    -4.4732    -7.1907    +7.8110    -8.1048    +8.4918    +8.8679]
2018-05-14 19:40:57,055 - t=   +0.0513 d= +328.6735 c_train=   +0.1860 c_test=   +1.7442 a_train=   +0.9406 a_test=   +0.6366 diff(a)=   +0.0015 time(eighsh)=   +156.73 eigs=[   -0.1666    -1.0388    +1.3485    -1.3931    +2.0871    +2.3012    -2.6705    +3.0357    -3.7124    +3.7191]
2018-05-14 19:42:17,996 - t=   +0.0769 d= +471.7764 c_train=   +0.1719 c_test=   +1.8185 a_train=   +0.9473 a_test=   +0.6349 diff(a)=   -0.0002 time(eighsh)=    +66.02 eigs=[   +0.2354    -1.0664    +1.5691    +2.2764    -2.9656    -3.4991    +5.0504    +6.6913    +7.4718    +7.6224]
2018-05-14 19:44:06,258 - t=   +0.1026 d= +602.9160 c_train=   +0.1555 c_test=   +1.8956 a_train=   +0.9522 a_test=   +0.6336 diff(a)=   -0.0015 time(eighsh)=    +93.75 eigs=[   +0.0421    -0.0527    -0.2460    +0.6653    +0.8722    -1.0319    +1.2723    -1.3588    +2.9977    -3.0722]
2018-05-14 19:47:46,899 - t=   +0.1282 d= +723.3875 c_train=   +0.1376 c_test=   +1.9704 a_train=   +0.9587 a_test=   +0.6347 diff(a)=   -0.0004 time(eighsh)=   +206.23 eigs=[   +0.6040    -0.7451    +0.8133    -0.9982    -1.7713    +1.8585    +2.0616    +2.1594    +2.3064    -2.6134]
2018-05-14 19:49:03,600 - t=   +0.1538 d= +834.1293 c_train=   +0.1277 c_test=   +2.0401 a_train=   +0.9583 a_test=   +0.6331 diff(a)=   -0.0020 time(eighsh)=    +62.21 eigs=[   +1.0683    -1.6377    -1.7731    +2.1891    +3.0315    +5.9770    -5.9856    +6.9833    -7.4191    +7.9995]
2018-05-14 19:50:26,698 - t=   +0.1795 d= +935.8316 c_train=   +0.1217 c_test=   +2.1023 a_train=   +0.9629 a_test=   +0.6322 diff(a)=   -0.0029 time(eighsh)=    +68.57 eigs=[   -0.3516    +1.0458    +3.3127    -3.5569    +5.1217    +6.0948    +7.7204    +7.8613    -8.0371   -10.4938]
2018-05-14 19:52:52,719 - t=   +0.2051 d=+1029.0129 c_train=   +0.1134 c_test=   +2.1556 a_train=   +0.9624 a_test=   +0.6331 diff(a)=   -0.0020 time(eighsh)=   +131.28 eigs=[   -0.0762    -1.0014    +1.2830    -1.6398    +1.6716    +2.0496    +2.2467    +2.8205    -2.8233    -2.8571]
2018-05-14 19:54:57,047 - t=   +0.2308 d=+1114.0770 c_train=   +0.1120 c_test=   +2.2003 a_train=   +0.9632 a_test=   +0.6342 diff(a)=   -0.0009 time(eighsh)=   +109.61 eigs=[   +0.1423    -0.3603    +0.3695    +0.6692    +0.7818    +0.7945    +0.8870    -0.9293    +1.2646    +2.0196]
2018-05-14 19:57:48,344 - t=   +0.2564 d=+1191.3577 c_train=   +0.1074 c_test=   +2.2345 a_train=   +0.9639 a_test=   +0.6375 diff(a)=   +0.0024 time(eighsh)=   +156.93 eigs=[   -0.0235    -0.4439    -0.4942    +0.6672    +1.0117    +1.0733    +1.1451    +1.3426    -1.4253    -1.7252]
2018-05-14 20:02:20,422 - t=   +0.2821 d=+1261.1420 c_train=   +0.1051 c_test=   +2.2572 a_train=   +0.9655 a_test=   +0.6403 diff(a)=   +0.0052 time(eighsh)=   +257.51 eigs=[   -0.7750    +2.1299    -2.3562    -3.2180    -3.6432    -5.9588    -6.7973    +7.5560    +8.3618   +11.2763]
2018-05-14 20:08:01,519 - t=   +0.3077 d=+1323.6818 c_train=   +0.1065 c_test=   +2.2697 a_train=   +0.9665 a_test=   +0.6397 diff(a)=   +0.0046 time(eighsh)=   +326.67 eigs=[   -0.1959    +0.3053    -0.3127    -0.3222    +0.3954    -0.4377    -0.4796    -0.4850    -0.5689    -0.6132]
2018-05-14 20:09:01,496 - t=   +0.3333 d=+1379.1989 c_train=   +0.1064 c_test=   +2.2723 a_train=   +0.9653 a_test=   +0.6401 diff(a)=   +0.0050 time(eighsh)=    +45.76 eigs=[   +0.9261    -1.7988    +2.0907    -3.0896    -5.2400    +5.4868    -5.5078    -5.6459    -6.3509    +7.4949]
2018-05-14 20:10:34,469 - t=   +0.3590 d=+1427.8862 c_train=   +0.1082 c_test=   +2.2667 a_train=   +0.9640 a_test=   +0.6408 diff(a)=   +0.0057 time(eighsh)=    +78.52 eigs=[   -0.2964    -0.4390    -1.9847    -2.1429    -2.3970    +3.1912    +3.5028    +3.5835    +6.1146    -7.7109]
2018-05-14 20:13:12,812 - t=   +0.3846 d=+1469.9036 c_train=   +0.1100 c_test=   +2.2527 a_train=   +0.9623 a_test=   +0.6422 diff(a)=   +0.0071 time(eighsh)=   +143.86 eigs=[   -0.3620    -0.5178    -0.5809    +0.8383    +0.8674    +0.9867    -0.9895    +1.2315    -1.2518    +1.3154]
2018-05-14 20:15:56,028 - t=   +0.4103 d=+1505.3817 c_train=   +0.1117 c_test=   +2.2319 a_train=   +0.9618 a_test=   +0.6426 diff(a)=   +0.0075 time(eighsh)=   +148.35 eigs=[   +0.1614    +0.4157    -0.6028    +0.7033    +0.8878    +1.1174    -1.6526    +1.7442    +1.8798    +1.9649]
2018-05-14 20:17:27,228 - t=   +0.4359 d=+1534.4177 c_train=   +0.1198 c_test=   +2.2055 a_train=   +0.9588 a_test=   +0.6440 diff(a)=   +0.0089 time(eighsh)=    +76.68 eigs=[   -0.1220    -0.4842    +0.5178    -0.6932    +0.7145    -0.9812    +1.5758    +2.8385    +2.9774    +2.9910]
2018-05-14 20:18:22,952 - t=   +0.4615 d=+1557.0747 c_train=   +0.1319 c_test=   +2.1732 a_train=   +0.9577 a_test=   +0.6452 diff(a)=   +0.0101 time(eighsh)=    +40.72 eigs=[   -1.2070    -1.6190    +2.4542    +2.6023    +3.2527    +5.3781    -5.7758    -7.0586    -7.7262    +8.3143]
2018-05-14 20:19:04,684 - t=   +0.4872 d=+1573.3835 c_train=   +0.1353 c_test=   +2.1353 a_train=   +0.9546 a_test=   +0.6459 diff(a)=   +0.0108 time(eighsh)=    +27.28 eigs=[   -4.3064    +4.8014    -9.0484   -11.1347   -18.1393   -24.0798   +26.8480   +37.0640   +40.0074   -42.2651]
2018-05-14 20:29:40,743 - t=   +0.5128 d=+1583.3413 c_train=   +0.1471 c_test=   +2.0907 a_train=   +0.9530 a_test=   +0.6428 diff(a)=   +0.0077 time(eighsh)=   +621.71 eigs=[   -0.6823    -1.4727    -1.7620    +2.2042    +2.9726    -3.4625    -4.4022    +4.5687    -5.1992    -5.2470]
2018-05-14 20:30:48,010 - t=   +0.5385 d=+1586.9132 c_train=   +0.1630 c_test=   +2.0409 a_train=   +0.9461 a_test=   +0.6417 diff(a)=   +0.0066 time(eighsh)=    +52.58 eigs=[   +3.9036    +3.9194    -4.2337    -6.4815    -8.7612   -11.1585   -13.3888   +15.1741   -16.5059   +17.0927]
2018-05-14 20:35:52,851 - t=   +0.5641 d=+1584.0328 c_train=   +0.1743 c_test=   +1.9880 a_train=   +0.9431 a_test=   +0.6398 diff(a)=   +0.0047 time(eighsh)=   +290.38 eigs=[   +0.2615    -0.6140    -1.1995    -3.6957    -5.2229    -5.4018    +5.4684    -5.4854    +5.7776    -6.8042]
2018-05-14 20:37:12,014 - t=   +0.5897 d=+1574.6066 c_train=   +0.1924 c_test=   +1.9310 a_train=   +0.9356 a_test=   +0.6390 diff(a)=   +0.0039 time(eighsh)=    +64.84 eigs=[   -3.3931    -3.9711    -6.2967    -7.7910    +9.3580   -10.0634   -18.0575   +21.6902   +23.0166   +23.1495]
2018-05-14 20:39:41,235 - t=   +0.6154 d=+1558.5165 c_train=   +0.2050 c_test=   +1.8730 a_train=   +0.9334 a_test=   +0.6401 diff(a)=   +0.0050 time(eighsh)=   +134.68 eigs=[   -0.3620    +0.6121    +2.9939    -3.4431    +8.9188   -15.8946   -17.3454   -18.6554   -21.0145   +24.6937]
2018-05-14 20:42:51,368 - t=   +0.6410 d=+1535.6270 c_train=   +0.2258 c_test=   +1.8150 a_train=   +0.9261 a_test=   +0.6408 diff(a)=   +0.0057 time(eighsh)=   +175.14 eigs=[   -0.0520    +0.2214    -0.2806    -0.4611    -1.6001    -3.1059    -3.3954    -4.1973    +5.3748    -5.4089]
2018-05-14 20:44:24,081 - t=   +0.6667 d=+1505.7946 c_train=   +0.2432 c_test=   +1.7606 a_train=   +0.9173 a_test=   +0.6416 diff(a)=   +0.0065 time(eighsh)=    +77.94 eigs=[   -1.7502    +4.9108    -6.5194    +6.6619    +9.4065   +10.3589   -10.8962   -13.8542   +14.2792   -14.3972]
2018-05-14 20:46:17,135 - t=   +0.6923 d=+1468.8794 c_train=   +0.2685 c_test=   +1.7181 a_train=   +0.9121 a_test=   +0.6355 diff(a)=   +0.0004 time(eighsh)=    +98.43 eigs=[   +0.1355    +3.7184    +8.3509   -16.7477   -17.9719   +17.9823   -22.7004   -25.3238   -27.4957   -29.4312]
2018-05-14 20:48:18,150 - t=   +0.7179 d=+1424.7631 c_train=   +0.3072 c_test=   +1.6876 a_train=   +0.8985 a_test=   +0.6278 diff(a)=   -0.0073 time(eighsh)=   +106.72 eigs=[  -20.2509   +23.7980   -29.9472   +41.8627   -50.3271   -60.6189   +60.8513   -62.8645   +70.3452   -77.7124]
2018-05-14 20:49:13,637 - t=   +0.7436 d=+1373.3792 c_train=   +0.3506 c_test=   +1.6569 a_train=   +0.8870 a_test=   +0.6221 diff(a)=   -0.0130 time(eighsh)=    +41.09 eigs=[   -0.0729   -24.6998   +39.6339   -47.2177   +55.3854   +61.2186   -74.8262   +89.5135  -101.1711  +114.0630]
2018-05-14 20:53:07,607 - t=   +0.7692 d=+1314.7482 c_train=   +0.3988 c_test=   +1.6288 a_train=   +0.8652 a_test=   +0.6162 diff(a)=   -0.0189 time(eighsh)=   +219.04 eigs=[   +1.2667    +2.2644    +3.1343    -3.3847    +5.8547    +6.8512    -9.4467   +11.8485   -12.9296   -14.6737]
2018-05-14 20:54:39,300 - t=   +0.7949 d=+1249.0431 c_train=   +0.4826 c_test=   +1.6056 a_train=   +0.8470 a_test=   +0.6107 diff(a)=   -0.0244 time(eighsh)=    +77.16 eigs=[   -0.4264    +4.6605   -10.6925   +12.5539   -18.2513   +26.1596   -31.8873   -35.9871   +36.4957   +39.5312]
2018-05-14 20:56:55,827 - t=   +0.8205 d=+1176.6843 c_train=   +0.5254 c_test=   +1.5885 a_train=   +0.8274 a_test=   +0.6067 diff(a)=   -0.0284 time(eighsh)=   +122.11 eigs=[  +12.3195   +19.9849   +22.0030   +31.8964   -37.3435   +48.3619   +50.5138   -51.9685   +63.3710   -65.1559]
2018-05-14 20:59:19,779 - t=   +0.8462 d=+1098.5007 c_train=   +0.5856 c_test=   +1.5735 a_train=   +0.8135 a_test=   +0.6022 diff(a)=   -0.0329 time(eighsh)=   +129.77 eigs=[   +3.5190    -5.1589    +6.5904    -6.8461    +9.9691   -12.4956   +14.3972   +18.7685   +31.1083   -31.9629]
2018-05-14 21:00:50,269 - t=   +0.8718 d=+1016.0042 c_train=   +0.6024 c_test=   +1.5611 a_train=   +0.8075 a_test=   +0.6025 diff(a)=   -0.0326 time(eighsh)=    +75.55 eigs=[   +6.1842    +8.0935   -16.3448   +17.9339   -25.6867   +26.1831   -75.2209   -94.6597   +98.2162  +104.5101]
2018-05-14 21:02:26,248 - t=   +0.8974 d= +931.8899 c_train=   +0.5920 c_test=   +1.5508 a_train=   +0.8133 a_test=   +0.6100 diff(a)=   -0.0251 time(eighsh)=    +81.14 eigs=[   +6.9406   -11.0151   +18.0278   +28.8248   -42.7540   -48.7897   -53.6710   +56.1042   -56.1888   +66.3027]
2018-05-14 21:04:49,711 - t=   +0.9231 d= +850.9781 c_train=   +0.5631 c_test=   +1.5352 a_train=   +0.8255 a_test=   +0.6194 diff(a)=   -0.0157 time(eighsh)=   +128.76 eigs=[   -0.4286    -1.1602    +5.3636    -8.5572   +12.3778   -14.3283   +15.9412   -23.6305   -27.5720   +27.6428]
2018-05-14 21:07:17,599 - t=   +0.9487 d= +781.9592 c_train=   +0.5168 c_test=   +1.5465 a_train=   +0.8396 a_test=   +0.6234 diff(a)=   -0.0117 time(eighsh)=   +133.46 eigs=[   +1.0367    -1.2367    +4.4464    +4.5317    -8.3269   -10.3359   +11.2050   -11.8050   -12.3430   +15.2196]
2018-05-14 21:10:26,054 - t=   +0.9744 d= +740.0017 c_train=   +0.3616 c_test=   +1.5874 a_train=   +0.8779 a_test=   +0.6349 diff(a)=   -0.0002 time(eighsh)=   +173.63 eigs=[   -2.5670    -2.8336    -3.8127    -3.9712    -4.2843    -6.6394    +7.4068    +9.0479    -9.8814   -11.6777]
2018-05-14 21:13:02,578 - t=   +1.0000 d= +747.7407 c_train=   +0.1273 c_test=   +1.7203 a_train=   +0.9649 a_test=   +0.6375 diff(a)=   +0.0024 time(eighsh)=   +141.56 eigs=[   +1.9402    -2.4736    -7.8921   +11.7326   +11.9267   +15.7747   -18.7835   +19.5734   -19.5824   -23.4062]
2018-05-14 21:13:02,578 - bezier 4/10
2018-05-14 21:19:00,396 - t=   +0.0000 d=   +0.0000 c_train=   +0.1442 c_test=   +1.6767 a_train=   +0.9632 a_test=   +0.6351 diff(a)=   +0.0000 time(eighsh)=   +341.23 eigs=[   +0.5680    -1.2523    +2.5449    -4.5533    -7.1118    +9.2614   -10.0841   +13.4221   -14.0982   +14.9456]
2018-05-14 21:24:44,310 - t=   +0.0256 d= +171.9892 c_train=   +0.1898 c_test=   +1.6783 a_train=   +0.9403 a_test=   +0.6408 diff(a)=   +0.0057 time(eighsh)=   +328.96 eigs=[   -0.4391    -1.4965    -2.1888    -2.4791    -2.8829    +3.0873    +3.4794    -3.9738    +4.4447    -4.7615]
2018-05-14 21:28:15,774 - t=   +0.0513 d= +328.6735 c_train=   +0.1886 c_test=   +1.7442 a_train=   +0.9415 a_test=   +0.6366 diff(a)=   +0.0015 time(eighsh)=   +196.47 eigs=[   +0.2604    -0.8257    -1.0348    +1.4365    -1.6485    +1.7747    -1.9831    -2.7901    +3.1088    +3.3722]
2018-05-14 21:29:12,604 - t=   +0.0769 d= +471.7764 c_train=   +0.1647 c_test=   +1.8185 a_train=   +0.9466 a_test=   +0.6349 diff(a)=   -0.0002 time(eighsh)=    +42.02 eigs=[   -0.4851    -1.3638    -1.6955    -2.3747    +3.5106    +3.8718    -4.2766    +4.7427    +5.4878    +5.7650]
2018-05-14 21:31:07,877 - t=   +0.1026 d= +602.9160 c_train=   +0.1508 c_test=   +1.8956 a_train=   +0.9507 a_test=   +0.6336 diff(a)=   -0.0015 time(eighsh)=   +100.26 eigs=[   +0.8847    -1.5732    +1.9658    -1.9673    -3.9217    +4.1378    +4.5374    +4.9274    -5.9028    +6.7142]
2018-05-14 21:32:41,203 - t=   +0.1282 d= +723.3875 c_train=   +0.1389 c_test=   +1.9704 a_train=   +0.9555 a_test=   +0.6347 diff(a)=   -0.0004 time(eighsh)=    +78.75 eigs=[   -1.0269    +1.0985    -1.8881    -4.1726    +5.7082    +6.6818    -6.8826    +8.0828    -8.2695    -8.4693]
2018-05-14 21:34:00,689 - t=   +0.1538 d= +834.1293 c_train=   +0.1350 c_test=   +2.0401 a_train=   +0.9600 a_test=   +0.6331 diff(a)=   -0.0020 time(eighsh)=    +65.11 eigs=[   -0.9347    -1.2579    +1.8273    -2.3836    -4.9332    +5.4344    +6.0589    +7.0562    +9.5045   +12.2471]
2018-05-14 21:35:35,208 - t=   +0.1795 d= +935.8316 c_train=   +0.1187 c_test=   +2.1023 a_train=   +0.9604 a_test=   +0.6322 diff(a)=   -0.0029 time(eighsh)=    +79.88 eigs=[   +0.0689    -0.5894    +1.3148    +1.5106    -1.6031    +2.6067    -7.6886   +10.0189   -11.9348   -15.3624]
2018-05-14 21:37:37,378 - t=   +0.2051 d=+1029.0129 c_train=   +0.1137 c_test=   +2.1556 a_train=   +0.9615 a_test=   +0.6331 diff(a)=   -0.0020 time(eighsh)=   +107.35 eigs=[   -0.4513    +0.5840    -0.7286    -0.8668    +1.3033    +1.4111    +1.4323    +1.6917    -2.4016    +2.4675]
2018-05-14 21:39:06,373 - t=   +0.2308 d=+1114.0770 c_train=   +0.1101 c_test=   +2.2003 a_train=   +0.9663 a_test=   +0.6342 diff(a)=   -0.0009 time(eighsh)=    +74.96 eigs=[   -0.1520    +0.9282    -1.6326    -1.8700    +1.8817    +1.9901    -2.4741    +2.5937    -3.0818    +3.8149]
2018-05-14 21:41:05,789 - t=   +0.2564 d=+1191.3577 c_train=   +0.1124 c_test=   +2.2345 a_train=   +0.9641 a_test=   +0.6375 diff(a)=   +0.0024 time(eighsh)=   +104.92 eigs=[   -0.1745    +0.4017    -0.6939    +0.7886    -1.0766    +1.1337    -1.3483    -1.5833    +1.5986    -1.9129]
2018-05-14 21:42:25,930 - t=   +0.2821 d=+1261.1420 c_train=   +0.1069 c_test=   +2.2572 a_train=   +0.9661 a_test=   +0.6403 diff(a)=   +0.0052 time(eighsh)=    +65.07 eigs=[   -0.0682    +1.7688    -1.8403    +1.9418    -2.2256    +3.4149    -5.1370    +5.9171    -9.6511   +10.0387]
2018-05-14 21:44:39,856 - t=   +0.3077 d=+1323.6818 c_train=   +0.1060 c_test=   +2.2697 a_train=   +0.9639 a_test=   +0.6397 diff(a)=   +0.0046 time(eighsh)=   +119.53 eigs=[   -0.0127    +0.0324    +0.1943    -0.2116    -0.8921    -1.0227    +1.0518    -1.2040    -1.2488    -1.3139]
2018-05-14 21:45:33,966 - t=   +0.3333 d=+1379.1989 c_train=   +0.1005 c_test=   +2.2723 a_train=   +0.9683 a_test=   +0.6401 diff(a)=   +0.0050 time(eighsh)=    +39.48 eigs=[   +0.1529    -1.2624    +1.5500    -2.6628    +3.1383    -3.4438    -4.0138    +4.2190    -4.7250    -5.1444]
2018-05-14 21:47:12,944 - t=   +0.3590 d=+1427.8862 c_train=   +0.1070 c_test=   +2.2667 a_train=   +0.9653 a_test=   +0.6408 diff(a)=   +0.0057 time(eighsh)=    +82.68 eigs=[   +0.4875    -0.9113    +1.2180    -1.4925    +2.2196    +2.3173    +3.5870    +3.8092    -4.8775    -5.2516]
2018-05-14 21:52:35,752 - t=   +0.3846 d=+1469.9036 c_train=   +0.1149 c_test=   +2.2527 a_train=   +0.9652 a_test=   +0.6422 diff(a)=   +0.0071 time(eighsh)=   +307.84 eigs=[   -0.1111    +0.2464    -0.3238    +0.4000    +0.4520    +0.7452    +0.7877    -0.8225    -0.8749    -1.2323]
2018-05-14 21:56:11,627 - t=   +0.4103 d=+1505.3817 c_train=   +0.1129 c_test=   +2.2319 a_train=   +0.9614 a_test=   +0.6426 diff(a)=   +0.0075 time(eighsh)=   +201.26 eigs=[   -0.3826    -0.3995    -0.5812    +0.8561    +0.9304    -1.0135    +1.0557    +1.1531    +1.2641    -1.4241]
2018-05-14 21:57:48,831 - t=   +0.4359 d=+1534.4177 c_train=   +0.1208 c_test=   +2.2055 a_train=   +0.9597 a_test=   +0.6440 diff(a)=   +0.0089 time(eighsh)=    +82.78 eigs=[   +0.1142    -1.3667    +1.4562    +1.8936    -2.3905    -2.4331    -2.5762    +2.7825    +2.9872    -3.2783]
2018-05-14 21:58:46,584 - t=   +0.4615 d=+1557.0747 c_train=   +0.1280 c_test=   +2.1732 a_train=   +0.9587 a_test=   +0.6452 diff(a)=   +0.0101 time(eighsh)=    +42.66 eigs=[   -0.5659    +1.4609    -1.7319    +1.8045    +3.8825    -4.5424    -7.1977    +7.4088    -7.5817    -9.6879]
2018-05-14 21:59:34,867 - t=   +0.4872 d=+1573.3835 c_train=   +0.1369 c_test=   +2.1353 a_train=   +0.9532 a_test=   +0.6459 diff(a)=   +0.0108 time(eighsh)=    +33.55 eigs=[   +2.2702    -2.8693    -4.6506    +9.8776   -10.2375   -12.4642   +16.8204   -21.1931   -27.6302   +27.9867]
2018-05-14 22:00:40,098 - t=   +0.5128 d=+1583.3413 c_train=   +0.1471 c_test=   +2.0907 a_train=   +0.9515 a_test=   +0.6428 diff(a)=   +0.0077 time(eighsh)=    +50.44 eigs=[   +0.3942    +2.1340    -2.6681    -3.3290    +7.4086    +8.1899    -8.3245    +8.4197   -10.6912   +13.5348]
2018-05-14 22:02:13,444 - t=   +0.5385 d=+1586.9132 c_train=   +0.1614 c_test=   +2.0409 a_train=   +0.9448 a_test=   +0.6417 diff(a)=   +0.0066 time(eighsh)=    +78.40 eigs=[   +0.4639    -1.2141    -2.2682    +2.5309    -3.4094    -5.0718    +6.3717    -7.0919    +9.4267   +10.6744]
2018-05-14 22:05:59,661 - t=   +0.5641 d=+1584.0328 c_train=   +0.1744 c_test=   +1.9880 a_train=   +0.9454 a_test=   +0.6398 diff(a)=   +0.0047 time(eighsh)=   +211.89 eigs=[   +0.2474    +0.5732    -1.3765    +1.5883    -3.2747    +4.5487    -4.6056    +5.4303    -6.1302   +11.3409]