[2021-03-20 01:04:04] Created experiment 0:
[2021-03-20 01:04:04]  - Model: mlp
[2021-03-20 01:04:04]  - Acquisition function: random
[2021-03-20 01:04:04] Created experiment 1:
[2021-03-20 01:04:04]  - Model: mlp
[2021-03-20 01:04:04]  - Acquisition function: least-confidence
[2021-03-20 01:04:04] Created experiment 2:
[2021-03-20 01:04:04]  - Model: mlp
[2021-03-20 01:04:04]  - Acquisition function: lc-beam-coreset
[2021-03-20 01:04:04] Created experiment 3:
[2021-03-20 01:04:04]  - Model: mlp
[2021-03-20 01:04:04]  - Acquisition function: greedy-coreset
[2021-03-20 01:04:04] Loading quadrant-offcenter-gauss test set...
[2021-03-20 01:04:05] Saved figure to: ../data/quadrant-offcenter-gauss_data.png
[2021-03-20 01:04:05] Saved figure to: ../data/quadrant-offcenter-gauss_test.png
[2021-03-20 01:04:05] Experiment repeat 1/3
[2021-03-20 01:04:05] Seeded: 5
[2021-03-20 01:04:05] Using 2.00% labels of the dataset (20/1000)
[2021-03-20 01:04:05] Randomly labelled 20/1000
[2021-03-20 01:04:05] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-20 01:04:05] Seeded: 6
[2021-03-20 01:04:05] Running: experiment 0
[2021-03-20 01:04:05] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-20 01:04:05] Reset parameters according to He et al.
[2021-03-20 01:04:05] mlp: initialized 17412 parameters.
[2021-03-20 01:04:05] Creating trainer with model on device: cuda
[2021-03-20 01:04:10] Training mlp across 20 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:10] Training accuracy: 0.9127
[2021-03-20 01:04:10] Testing on 1000 data points...
[2021-03-20 01:04:10] Test score for 20 training labels: 0.5010
[2021-03-20 01:04:10] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:10] Found 1000 unlabelled features.
[2021-03-20 01:04:10] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-20 01:04:10] Reset parameters according to He et al.
[2021-03-20 01:04:10] mlp: initialized 17412 parameters.
[2021-03-20 01:04:10] Creating trainer with model on device: cuda
[2021-03-20 01:04:10] Training mlp across 40 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:11] Training accuracy: 0.9185
[2021-03-20 01:04:11] Testing on 1000 data points...
[2021-03-20 01:04:11] Test score for 40 training labels: 0.6850
[2021-03-20 01:04:11] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:11] Found 1000 unlabelled features.
[2021-03-20 01:04:11] Showing labelled: True (59/1000 visible, 1 redundant)
[2021-03-20 01:04:11] Reset parameters according to He et al.
[2021-03-20 01:04:11] mlp: initialized 17412 parameters.
[2021-03-20 01:04:11] Creating trainer with model on device: cuda
[2021-03-20 01:04:11] Training mlp across 60 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:13] Training accuracy: 0.9352
[2021-03-20 01:04:13] Testing on 1000 data points...
[2021-03-20 01:04:13] Test score for 60 training labels: 0.7200
[2021-03-20 01:04:13] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:13] Found 1000 unlabelled features.
[2021-03-20 01:04:13] Showing labelled: True (78/1000 visible, 2 redundant)
[2021-03-20 01:04:13] Reset parameters according to He et al.
[2021-03-20 01:04:13] mlp: initialized 17412 parameters.
[2021-03-20 01:04:13] Creating trainer with model on device: cuda
[2021-03-20 01:04:13] Training mlp across 80 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:15] Training accuracy: 0.9221
[2021-03-20 01:04:15] Testing on 1000 data points...
[2021-03-20 01:04:15] Test score for 80 training labels: 0.7220
[2021-03-20 01:04:15] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:15] Found 1000 unlabelled features.
[2021-03-20 01:04:15] Showing labelled: True (96/1000 visible, 4 redundant)
[2021-03-20 01:04:15] Reset parameters according to He et al.
[2021-03-20 01:04:15] mlp: initialized 17412 parameters.
[2021-03-20 01:04:15] Creating trainer with model on device: cuda
[2021-03-20 01:04:15] Training mlp across 100 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:18] Training accuracy: 0.9448
[2021-03-20 01:04:18] Testing on 1000 data points...
[2021-03-20 01:04:18] Test score for 100 training labels: 0.7190
[2021-03-20 01:04:18] Seeded: 6
[2021-03-20 01:04:18] Running: experiment 1
[2021-03-20 01:04:18] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-20 01:04:18] Reset parameters according to He et al.
[2021-03-20 01:04:18] mlp: initialized 17412 parameters.
[2021-03-20 01:04:18] Creating trainer with model on device: cuda
[2021-03-20 01:04:18] Training mlp across 20 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:18] Training accuracy: 0.9127
[2021-03-20 01:04:18] Testing on 1000 data points...
[2021-03-20 01:04:18] Test score for 20 training labels: 0.5010
[2021-03-20 01:04:18] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:18] Found 1000 unlabelled features.
[2021-03-20 01:04:18] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-20 01:04:18] Reset parameters according to He et al.
[2021-03-20 01:04:18] mlp: initialized 17412 parameters.
[2021-03-20 01:04:18] Creating trainer with model on device: cuda
[2021-03-20 01:04:18] Training mlp across 40 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:19] Training accuracy: 0.9527
[2021-03-20 01:04:19] Testing on 1000 data points...
[2021-03-20 01:04:19] Test score for 40 training labels: 0.6710
[2021-03-20 01:04:19] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:19] Found 1000 unlabelled features.
[2021-03-20 01:04:20] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-20 01:04:20] Reset parameters according to He et al.
[2021-03-20 01:04:20] mlp: initialized 17412 parameters.
[2021-03-20 01:04:20] Creating trainer with model on device: cuda
[2021-03-20 01:04:20] Training mlp across 60 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:21] Training accuracy: 0.9369
[2021-03-20 01:04:21] Testing on 1000 data points...
[2021-03-20 01:04:21] Test score for 60 training labels: 0.7170
[2021-03-20 01:04:21] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:21] Found 1000 unlabelled features.
[2021-03-20 01:04:21] Showing labelled: True (76/1000 visible, 4 redundant)
[2021-03-20 01:04:21] Reset parameters according to He et al.
[2021-03-20 01:04:21] mlp: initialized 17412 parameters.
[2021-03-20 01:04:21] Creating trainer with model on device: cuda
[2021-03-20 01:04:21] Training mlp across 80 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:23] Training accuracy: 0.9074
[2021-03-20 01:04:23] Testing on 1000 data points...
[2021-03-20 01:04:23] Test score for 80 training labels: 0.7380
[2021-03-20 01:04:23] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:23] Found 1000 unlabelled features.
[2021-03-20 01:04:23] Showing labelled: True (88/1000 visible, 12 redundant)
[2021-03-20 01:04:23] Reset parameters according to He et al.
[2021-03-20 01:04:23] mlp: initialized 17412 parameters.
[2021-03-20 01:04:23] Creating trainer with model on device: cuda
[2021-03-20 01:04:23] Training mlp across 100 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:26] Training accuracy: 0.8624
[2021-03-20 01:04:26] Testing on 1000 data points...
[2021-03-20 01:04:26] Test score for 100 training labels: 0.7810
[2021-03-20 01:04:26] Seeded: 6
[2021-03-20 01:04:26] Running: experiment 2
[2021-03-20 01:04:26] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-20 01:04:26] Reset parameters according to He et al.
[2021-03-20 01:04:26] mlp: initialized 17412 parameters.
[2021-03-20 01:04:26] Creating trainer with model on device: cuda
[2021-03-20 01:04:26] Training mlp across 20 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:27] Training accuracy: 0.9127
[2021-03-20 01:04:27] Testing on 1000 data points...
[2021-03-20 01:04:27] Test score for 20 training labels: 0.5010
[2021-03-20 01:04:27] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:27] Found 1000 unlabelled features.
[2021-03-20 01:04:27] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:04:27] Searching for coresets with 20 beams...
[2021-03-20 01:04:27] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-20 01:04:27] Reset parameters according to He et al.
[2021-03-20 01:04:27] mlp: initialized 17412 parameters.
[2021-03-20 01:04:27] Creating trainer with model on device: cuda
[2021-03-20 01:04:27] Training mlp across 40 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:28] Training accuracy: 0.9245
[2021-03-20 01:04:28] Testing on 1000 data points...
[2021-03-20 01:04:28] Test score for 40 training labels: 0.9400
[2021-03-20 01:04:28] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:28] Found 1000 unlabelled features.
[2021-03-20 01:04:28] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:04:28] Searching for coresets with 20 beams...
[2021-03-20 01:04:28] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-20 01:04:28] Reset parameters according to He et al.
[2021-03-20 01:04:28] mlp: initialized 17412 parameters.
[2021-03-20 01:04:28] Creating trainer with model on device: cuda
[2021-03-20 01:04:28] Training mlp across 60 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:29] Training accuracy: 0.9123
[2021-03-20 01:04:29] Testing on 1000 data points...
[2021-03-20 01:04:29] Test score for 60 training labels: 0.9370
[2021-03-20 01:04:29] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:29] Found 1000 unlabelled features.
[2021-03-20 01:04:29] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:04:29] Searching for coresets with 20 beams...
[2021-03-20 01:04:29] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-20 01:04:29] Reset parameters according to He et al.
[2021-03-20 01:04:29] mlp: initialized 17412 parameters.
[2021-03-20 01:04:29] Creating trainer with model on device: cuda
[2021-03-20 01:04:29] Training mlp across 80 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:32] Training accuracy: 0.9544
[2021-03-20 01:04:32] Testing on 1000 data points...
[2021-03-20 01:04:32] Test score for 80 training labels: 0.9790
[2021-03-20 01:04:32] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:32] Found 1000 unlabelled features.
[2021-03-20 01:04:32] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:04:32] Searching for coresets with 20 beams...
[2021-03-20 01:04:32] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-20 01:04:32] Reset parameters according to He et al.
[2021-03-20 01:04:32] mlp: initialized 17412 parameters.
[2021-03-20 01:04:32] Creating trainer with model on device: cuda
[2021-03-20 01:04:32] Training mlp across 100 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:34] Training accuracy: 0.9306
[2021-03-20 01:04:34] Testing on 1000 data points...
[2021-03-20 01:04:34] Test score for 100 training labels: 0.9900
[2021-03-20 01:04:34] Seeded: 6
[2021-03-20 01:04:34] Running: experiment 3
[2021-03-20 01:04:34] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-20 01:04:34] Reset parameters according to He et al.
[2021-03-20 01:04:34] mlp: initialized 17412 parameters.
[2021-03-20 01:04:34] Creating trainer with model on device: cuda
[2021-03-20 01:04:34] Training mlp across 20 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:35] Training accuracy: 0.9127
[2021-03-20 01:04:35] Testing on 1000 data points...
[2021-03-20 01:04:35] Test score for 20 training labels: 0.5010
[2021-03-20 01:04:35] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:35] Found 1000 unlabelled features.
[2021-03-20 01:04:35] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:04:35] Searching for coresets greedily...
[2021-03-20 01:04:35] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-20 01:04:35] Reset parameters according to He et al.
[2021-03-20 01:04:35] mlp: initialized 17412 parameters.
[2021-03-20 01:04:35] Creating trainer with model on device: cuda
[2021-03-20 01:04:35] Training mlp across 40 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:36] Training accuracy: 0.9180
[2021-03-20 01:04:36] Testing on 1000 data points...
[2021-03-20 01:04:36] Test score for 40 training labels: 0.9380
[2021-03-20 01:04:36] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:36] Found 1000 unlabelled features.
[2021-03-20 01:04:36] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:04:36] Searching for coresets greedily...
[2021-03-20 01:04:36] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-20 01:04:36] Reset parameters according to He et al.
[2021-03-20 01:04:36] mlp: initialized 17412 parameters.
[2021-03-20 01:04:36] Creating trainer with model on device: cuda
[2021-03-20 01:04:36] Training mlp across 60 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:38] Training accuracy: 0.9321
[2021-03-20 01:04:38] Testing on 1000 data points...
[2021-03-20 01:04:38] Test score for 60 training labels: 0.9670
[2021-03-20 01:04:38] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:38] Found 1000 unlabelled features.
[2021-03-20 01:04:38] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:04:38] Searching for coresets greedily...
[2021-03-20 01:04:38] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-20 01:04:38] Reset parameters according to He et al.
[2021-03-20 01:04:38] mlp: initialized 17412 parameters.
[2021-03-20 01:04:38] Creating trainer with model on device: cuda
[2021-03-20 01:04:38] Training mlp across 80 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:40] Training accuracy: 0.9364
[2021-03-20 01:04:40] Testing on 1000 data points...
[2021-03-20 01:04:40] Test score for 80 training labels: 0.9700
[2021-03-20 01:04:40] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:40] Found 1000 unlabelled features.
[2021-03-20 01:04:40] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:04:40] Searching for coresets greedily...
[2021-03-20 01:04:40] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-20 01:04:40] Reset parameters according to He et al.
[2021-03-20 01:04:40] mlp: initialized 17412 parameters.
[2021-03-20 01:04:40] Creating trainer with model on device: cuda
[2021-03-20 01:04:40] Training mlp across 100 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:42] Training accuracy: 0.9416
[2021-03-20 01:04:42] Testing on 1000 data points...
[2021-03-20 01:04:42] Test score for 100 training labels: 0.9610
[2021-03-20 01:04:42] Experiment repeat 2/3
[2021-03-20 01:04:42] Seeded: 6
[2021-03-20 01:04:42] Using 2.00% labels of the dataset (20/1000)
[2021-03-20 01:04:42] Randomly labelled 20/1000
[2021-03-20 01:04:42] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-20 01:04:42] Seeded: 7
[2021-03-20 01:04:42] Running: experiment 0
[2021-03-20 01:04:42] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-20 01:04:42] Reset parameters according to He et al.
[2021-03-20 01:04:42] mlp: initialized 17412 parameters.
[2021-03-20 01:04:42] Creating trainer with model on device: cuda
[2021-03-20 01:04:42] Training mlp across 20 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:43] Training accuracy: 0.8536
[2021-03-20 01:04:43] Testing on 1000 data points...
[2021-03-20 01:04:43] Test score for 20 training labels: 0.4780
[2021-03-20 01:04:43] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:43] Found 1000 unlabelled features.
[2021-03-20 01:04:43] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-20 01:04:43] Reset parameters according to He et al.
[2021-03-20 01:04:43] mlp: initialized 17412 parameters.
[2021-03-20 01:04:43] Creating trainer with model on device: cuda
[2021-03-20 01:04:43] Training mlp across 40 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:44] Training accuracy: 0.9058
[2021-03-20 01:04:44] Testing on 1000 data points...
[2021-03-20 01:04:44] Test score for 40 training labels: 0.6920
[2021-03-20 01:04:44] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:44] Found 1000 unlabelled features.
[2021-03-20 01:04:44] Showing labelled: True (59/1000 visible, 1 redundant)
[2021-03-20 01:04:44] Reset parameters according to He et al.
[2021-03-20 01:04:44] mlp: initialized 17412 parameters.
[2021-03-20 01:04:44] Creating trainer with model on device: cuda
[2021-03-20 01:04:44] Training mlp across 60 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:46] Training accuracy: 0.9250
[2021-03-20 01:04:46] Testing on 1000 data points...
[2021-03-20 01:04:46] Test score for 60 training labels: 0.7310
[2021-03-20 01:04:46] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:46] Found 1000 unlabelled features.
[2021-03-20 01:04:46] Showing labelled: True (77/1000 visible, 3 redundant)
[2021-03-20 01:04:46] Reset parameters according to He et al.
[2021-03-20 01:04:46] mlp: initialized 17412 parameters.
[2021-03-20 01:04:46] Creating trainer with model on device: cuda
[2021-03-20 01:04:46] Training mlp across 80 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:48] Training accuracy: 0.9333
[2021-03-20 01:04:48] Testing on 1000 data points...
[2021-03-20 01:04:48] Test score for 80 training labels: 0.7360
[2021-03-20 01:04:48] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:48] Found 1000 unlabelled features.
[2021-03-20 01:04:48] Showing labelled: True (95/1000 visible, 5 redundant)
[2021-03-20 01:04:48] Reset parameters according to He et al.
[2021-03-20 01:04:48] mlp: initialized 17412 parameters.
[2021-03-20 01:04:48] Creating trainer with model on device: cuda
[2021-03-20 01:04:48] Training mlp across 100 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:50] Training accuracy: 0.9384
[2021-03-20 01:04:50] Testing on 1000 data points...
[2021-03-20 01:04:50] Test score for 100 training labels: 0.7410
[2021-03-20 01:04:50] Seeded: 7
[2021-03-20 01:04:50] Running: experiment 1
[2021-03-20 01:04:50] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-20 01:04:50] Reset parameters according to He et al.
[2021-03-20 01:04:50] mlp: initialized 17412 parameters.
[2021-03-20 01:04:50] Creating trainer with model on device: cuda
[2021-03-20 01:04:50] Training mlp across 20 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:51] Training accuracy: 0.8536
[2021-03-20 01:04:51] Testing on 1000 data points...
[2021-03-20 01:04:51] Test score for 20 training labels: 0.4780
[2021-03-20 01:04:51] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:51] Found 1000 unlabelled features.
[2021-03-20 01:04:51] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-20 01:04:51] Reset parameters according to He et al.
[2021-03-20 01:04:51] mlp: initialized 17412 parameters.
[2021-03-20 01:04:51] Creating trainer with model on device: cuda
[2021-03-20 01:04:51] Training mlp across 40 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:52] Training accuracy: 0.8913
[2021-03-20 01:04:52] Testing on 1000 data points...
[2021-03-20 01:04:52] Test score for 40 training labels: 0.6670
[2021-03-20 01:04:52] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:52] Found 1000 unlabelled features.
[2021-03-20 01:04:52] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-20 01:04:52] Reset parameters according to He et al.
[2021-03-20 01:04:52] mlp: initialized 17412 parameters.
[2021-03-20 01:04:52] Creating trainer with model on device: cuda
[2021-03-20 01:04:52] Training mlp across 60 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:54] Training accuracy: 0.8933
[2021-03-20 01:04:54] Testing on 1000 data points...
[2021-03-20 01:04:54] Test score for 60 training labels: 0.9060
[2021-03-20 01:04:54] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:54] Found 1000 unlabelled features.
[2021-03-20 01:04:54] Showing labelled: True (75/1000 visible, 5 redundant)
[2021-03-20 01:04:54] Reset parameters according to He et al.
[2021-03-20 01:04:54] mlp: initialized 17412 parameters.
[2021-03-20 01:04:54] Creating trainer with model on device: cuda
[2021-03-20 01:04:54] Training mlp across 80 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:56] Training accuracy: 0.8644
[2021-03-20 01:04:56] Testing on 1000 data points...
[2021-03-20 01:04:56] Test score for 80 training labels: 0.9440
[2021-03-20 01:04:56] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:56] Found 1000 unlabelled features.
[2021-03-20 01:04:56] Showing labelled: True (85/1000 visible, 15 redundant)
[2021-03-20 01:04:56] Reset parameters according to He et al.
[2021-03-20 01:04:56] mlp: initialized 17412 parameters.
[2021-03-20 01:04:56] Creating trainer with model on device: cuda
[2021-03-20 01:04:56] Training mlp across 100 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:58] Training accuracy: 0.8809
[2021-03-20 01:04:58] Testing on 1000 data points...
[2021-03-20 01:04:58] Test score for 100 training labels: 0.9340
[2021-03-20 01:04:58] Seeded: 7
[2021-03-20 01:04:58] Running: experiment 2
[2021-03-20 01:04:58] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-20 01:04:58] Reset parameters according to He et al.
[2021-03-20 01:04:58] mlp: initialized 17412 parameters.
[2021-03-20 01:04:58] Creating trainer with model on device: cuda
[2021-03-20 01:04:58] Training mlp across 20 data points in quadrant-offcenter-gauss...
[2021-03-20 01:04:59] Training accuracy: 0.8536
[2021-03-20 01:04:59] Testing on 1000 data points...
[2021-03-20 01:04:59] Test score for 20 training labels: 0.4780
[2021-03-20 01:04:59] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:04:59] Found 1000 unlabelled features.
[2021-03-20 01:04:59] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:04:59] Searching for coresets with 20 beams...
[2021-03-20 01:04:59] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-20 01:04:59] Reset parameters according to He et al.
[2021-03-20 01:04:59] mlp: initialized 17412 parameters.
[2021-03-20 01:04:59] Creating trainer with model on device: cuda
[2021-03-20 01:04:59] Training mlp across 40 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:00] Training accuracy: 0.9606
[2021-03-20 01:05:00] Testing on 1000 data points...
[2021-03-20 01:05:00] Test score for 40 training labels: 0.8810
[2021-03-20 01:05:00] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:00] Found 1000 unlabelled features.
[2021-03-20 01:05:00] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:05:00] Searching for coresets with 20 beams...
[2021-03-20 01:05:00] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-20 01:05:00] Reset parameters according to He et al.
[2021-03-20 01:05:00] mlp: initialized 17412 parameters.
[2021-03-20 01:05:00] Creating trainer with model on device: cuda
[2021-03-20 01:05:00] Training mlp across 60 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:02] Training accuracy: 0.9434
[2021-03-20 01:05:02] Testing on 1000 data points...
[2021-03-20 01:05:02] Test score for 60 training labels: 0.9280
[2021-03-20 01:05:02] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:02] Found 1000 unlabelled features.
[2021-03-20 01:05:02] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:05:02] Searching for coresets with 20 beams...
[2021-03-20 01:05:02] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-20 01:05:02] Reset parameters according to He et al.
[2021-03-20 01:05:02] mlp: initialized 17412 parameters.
[2021-03-20 01:05:02] Creating trainer with model on device: cuda
[2021-03-20 01:05:02] Training mlp across 80 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:04] Training accuracy: 0.9482
[2021-03-20 01:05:04] Testing on 1000 data points...
[2021-03-20 01:05:04] Test score for 80 training labels: 0.9390
[2021-03-20 01:05:04] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:04] Found 1000 unlabelled features.
[2021-03-20 01:05:04] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:05:04] Searching for coresets with 20 beams...
[2021-03-20 01:05:04] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-20 01:05:04] Reset parameters according to He et al.
[2021-03-20 01:05:04] mlp: initialized 17412 parameters.
[2021-03-20 01:05:04] Creating trainer with model on device: cuda
[2021-03-20 01:05:04] Training mlp across 100 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:07] Training accuracy: 0.9463
[2021-03-20 01:05:07] Testing on 1000 data points...
[2021-03-20 01:05:07] Test score for 100 training labels: 0.9850
[2021-03-20 01:05:07] Seeded: 7
[2021-03-20 01:05:07] Running: experiment 3
[2021-03-20 01:05:07] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-20 01:05:07] Reset parameters according to He et al.
[2021-03-20 01:05:07] mlp: initialized 17412 parameters.
[2021-03-20 01:05:07] Creating trainer with model on device: cuda
[2021-03-20 01:05:07] Training mlp across 20 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:07] Training accuracy: 0.8536
[2021-03-20 01:05:07] Testing on 1000 data points...
[2021-03-20 01:05:07] Test score for 20 training labels: 0.4780
[2021-03-20 01:05:07] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:07] Found 1000 unlabelled features.
[2021-03-20 01:05:07] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:05:07] Searching for coresets greedily...
[2021-03-20 01:05:07] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-20 01:05:07] Reset parameters according to He et al.
[2021-03-20 01:05:07] mlp: initialized 17412 parameters.
[2021-03-20 01:05:07] Creating trainer with model on device: cuda
[2021-03-20 01:05:07] Training mlp across 40 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:08] Training accuracy: 0.9090
[2021-03-20 01:05:08] Testing on 1000 data points...
[2021-03-20 01:05:08] Test score for 40 training labels: 0.8770
[2021-03-20 01:05:08] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:08] Found 1000 unlabelled features.
[2021-03-20 01:05:08] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:05:08] Searching for coresets greedily...
[2021-03-20 01:05:08] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-20 01:05:08] Reset parameters according to He et al.
[2021-03-20 01:05:08] mlp: initialized 17412 parameters.
[2021-03-20 01:05:08] Creating trainer with model on device: cuda
[2021-03-20 01:05:08] Training mlp across 60 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:10] Training accuracy: 0.9018
[2021-03-20 01:05:10] Testing on 1000 data points...
[2021-03-20 01:05:10] Test score for 60 training labels: 0.9490
[2021-03-20 01:05:10] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:10] Found 1000 unlabelled features.
[2021-03-20 01:05:10] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:05:10] Searching for coresets greedily...
[2021-03-20 01:05:10] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-20 01:05:10] Reset parameters according to He et al.
[2021-03-20 01:05:10] mlp: initialized 17412 parameters.
[2021-03-20 01:05:10] Creating trainer with model on device: cuda
[2021-03-20 01:05:10] Training mlp across 80 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:12] Training accuracy: 0.8790
[2021-03-20 01:05:12] Testing on 1000 data points...
[2021-03-20 01:05:12] Test score for 80 training labels: 0.9470
[2021-03-20 01:05:12] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:12] Found 1000 unlabelled features.
[2021-03-20 01:05:12] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:05:12] Searching for coresets greedily...
[2021-03-20 01:05:12] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-20 01:05:12] Reset parameters according to He et al.
[2021-03-20 01:05:12] mlp: initialized 17412 parameters.
[2021-03-20 01:05:12] Creating trainer with model on device: cuda
[2021-03-20 01:05:12] Training mlp across 100 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:15] Training accuracy: 0.9334
[2021-03-20 01:05:15] Testing on 1000 data points...
[2021-03-20 01:05:15] Test score for 100 training labels: 0.9570
[2021-03-20 01:05:15] Experiment repeat 3/3
[2021-03-20 01:05:15] Seeded: 7
[2021-03-20 01:05:15] Using 2.00% labels of the dataset (20/1000)
[2021-03-20 01:05:15] Randomly labelled 20/1000
[2021-03-20 01:05:15] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-20 01:05:15] Seeded: 8
[2021-03-20 01:05:15] Running: experiment 0
[2021-03-20 01:05:15] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-20 01:05:15] Reset parameters according to He et al.
[2021-03-20 01:05:15] mlp: initialized 17412 parameters.
[2021-03-20 01:05:15] Creating trainer with model on device: cuda
[2021-03-20 01:05:15] Training mlp across 20 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:16] Training accuracy: 0.8567
[2021-03-20 01:05:16] Testing on 1000 data points...
[2021-03-20 01:05:16] Test score for 20 training labels: 0.7000
[2021-03-20 01:05:16] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:16] Found 1000 unlabelled features.
[2021-03-20 01:05:16] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-20 01:05:16] Reset parameters according to He et al.
[2021-03-20 01:05:16] mlp: initialized 17412 parameters.
[2021-03-20 01:05:16] Creating trainer with model on device: cuda
[2021-03-20 01:05:16] Training mlp across 40 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:17] Training accuracy: 0.8910
[2021-03-20 01:05:17] Testing on 1000 data points...
[2021-03-20 01:05:17] Test score for 40 training labels: 0.7320
[2021-03-20 01:05:17] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:17] Found 1000 unlabelled features.
[2021-03-20 01:05:17] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-20 01:05:17] Reset parameters according to He et al.
[2021-03-20 01:05:17] mlp: initialized 17412 parameters.
[2021-03-20 01:05:17] Creating trainer with model on device: cuda
[2021-03-20 01:05:17] Training mlp across 60 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:18] Training accuracy: 0.8953
[2021-03-20 01:05:18] Testing on 1000 data points...
[2021-03-20 01:05:18] Test score for 60 training labels: 0.7270
[2021-03-20 01:05:18] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:18] Found 1000 unlabelled features.
[2021-03-20 01:05:18] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-20 01:05:18] Reset parameters according to He et al.
[2021-03-20 01:05:18] mlp: initialized 17412 parameters.
[2021-03-20 01:05:18] Creating trainer with model on device: cuda
[2021-03-20 01:05:18] Training mlp across 80 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:20] Training accuracy: 0.9101
[2021-03-20 01:05:20] Testing on 1000 data points...
[2021-03-20 01:05:20] Test score for 80 training labels: 0.8360
[2021-03-20 01:05:20] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:20] Found 1000 unlabelled features.
[2021-03-20 01:05:20] Showing labelled: True (99/1000 visible, 1 redundant)
[2021-03-20 01:05:20] Reset parameters according to He et al.
[2021-03-20 01:05:20] mlp: initialized 17412 parameters.
[2021-03-20 01:05:20] Creating trainer with model on device: cuda
[2021-03-20 01:05:20] Training mlp across 100 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:23] Training accuracy: 0.9430
[2021-03-20 01:05:23] Testing on 1000 data points...
[2021-03-20 01:05:23] Test score for 100 training labels: 0.9350
[2021-03-20 01:05:23] Seeded: 8
[2021-03-20 01:05:23] Running: experiment 1
[2021-03-20 01:05:23] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-20 01:05:23] Reset parameters according to He et al.
[2021-03-20 01:05:23] mlp: initialized 17412 parameters.
[2021-03-20 01:05:23] Creating trainer with model on device: cuda
[2021-03-20 01:05:23] Training mlp across 20 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:24] Training accuracy: 0.8567
[2021-03-20 01:05:24] Testing on 1000 data points...
[2021-03-20 01:05:24] Test score for 20 training labels: 0.7000
[2021-03-20 01:05:24] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:24] Found 1000 unlabelled features.
[2021-03-20 01:05:24] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-20 01:05:24] Reset parameters according to He et al.
[2021-03-20 01:05:24] mlp: initialized 17412 parameters.
[2021-03-20 01:05:24] Creating trainer with model on device: cuda
[2021-03-20 01:05:24] Training mlp across 40 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:25] Training accuracy: 0.8623
[2021-03-20 01:05:25] Testing on 1000 data points...
[2021-03-20 01:05:25] Test score for 40 training labels: 0.7990
[2021-03-20 01:05:25] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:25] Found 1000 unlabelled features.
[2021-03-20 01:05:25] Showing labelled: True (53/1000 visible, 7 redundant)
[2021-03-20 01:05:25] Reset parameters according to He et al.
[2021-03-20 01:05:25] mlp: initialized 17412 parameters.
[2021-03-20 01:05:25] Creating trainer with model on device: cuda
[2021-03-20 01:05:25] Training mlp across 60 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:26] Training accuracy: 0.8987
[2021-03-20 01:05:26] Testing on 1000 data points...
[2021-03-20 01:05:26] Test score for 60 training labels: 0.9370
[2021-03-20 01:05:26] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:26] Found 1000 unlabelled features.
[2021-03-20 01:05:26] Showing labelled: True (63/1000 visible, 17 redundant)
[2021-03-20 01:05:26] Reset parameters according to He et al.
[2021-03-20 01:05:26] mlp: initialized 17412 parameters.
[2021-03-20 01:05:26] Creating trainer with model on device: cuda
[2021-03-20 01:05:26] Training mlp across 80 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:28] Training accuracy: 0.8606
[2021-03-20 01:05:28] Testing on 1000 data points...
[2021-03-20 01:05:28] Test score for 80 training labels: 0.9630
[2021-03-20 01:05:28] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:28] Found 1000 unlabelled features.
[2021-03-20 01:05:28] Showing labelled: True (77/1000 visible, 23 redundant)
[2021-03-20 01:05:28] Reset parameters according to He et al.
[2021-03-20 01:05:28] mlp: initialized 17412 parameters.
[2021-03-20 01:05:28] Creating trainer with model on device: cuda
[2021-03-20 01:05:28] Training mlp across 100 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:31] Training accuracy: 0.8580
[2021-03-20 01:05:31] Testing on 1000 data points...
[2021-03-20 01:05:31] Test score for 100 training labels: 0.9620
[2021-03-20 01:05:31] Seeded: 8
[2021-03-20 01:05:31] Running: experiment 2
[2021-03-20 01:05:31] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-20 01:05:31] Reset parameters according to He et al.
[2021-03-20 01:05:31] mlp: initialized 17412 parameters.
[2021-03-20 01:05:31] Creating trainer with model on device: cuda
[2021-03-20 01:05:31] Training mlp across 20 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:32] Training accuracy: 0.8567
[2021-03-20 01:05:32] Testing on 1000 data points...
[2021-03-20 01:05:32] Test score for 20 training labels: 0.7000
[2021-03-20 01:05:32] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:32] Found 1000 unlabelled features.
[2021-03-20 01:05:32] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:05:32] Searching for coresets with 20 beams...
[2021-03-20 01:05:32] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-20 01:05:32] Reset parameters according to He et al.
[2021-03-20 01:05:32] mlp: initialized 17412 parameters.
[2021-03-20 01:05:32] Creating trainer with model on device: cuda
[2021-03-20 01:05:32] Training mlp across 40 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:33] Training accuracy: 0.9236
[2021-03-20 01:05:33] Testing on 1000 data points...
[2021-03-20 01:05:33] Test score for 40 training labels: 0.8840
[2021-03-20 01:05:33] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:33] Found 1000 unlabelled features.
[2021-03-20 01:05:33] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:05:33] Searching for coresets with 20 beams...
[2021-03-20 01:05:33] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-20 01:05:33] Reset parameters according to He et al.
[2021-03-20 01:05:33] mlp: initialized 17412 parameters.
[2021-03-20 01:05:33] Creating trainer with model on device: cuda
[2021-03-20 01:05:33] Training mlp across 60 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:34] Training accuracy: 0.9216
[2021-03-20 01:05:34] Testing on 1000 data points...
[2021-03-20 01:05:34] Test score for 60 training labels: 0.9120
[2021-03-20 01:05:34] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:34] Found 1000 unlabelled features.
[2021-03-20 01:05:34] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:05:34] Searching for coresets with 20 beams...
[2021-03-20 01:05:35] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-20 01:05:35] Reset parameters according to He et al.
[2021-03-20 01:05:35] mlp: initialized 17412 parameters.
[2021-03-20 01:05:35] Creating trainer with model on device: cuda
[2021-03-20 01:05:35] Training mlp across 80 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:37] Training accuracy: 0.9104
[2021-03-20 01:05:37] Testing on 1000 data points...
[2021-03-20 01:05:37] Test score for 80 training labels: 0.9510
[2021-03-20 01:05:37] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:37] Found 1000 unlabelled features.
[2021-03-20 01:05:37] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:05:37] Searching for coresets with 20 beams...
[2021-03-20 01:05:37] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-20 01:05:37] Reset parameters according to He et al.
[2021-03-20 01:05:37] mlp: initialized 17412 parameters.
[2021-03-20 01:05:37] Creating trainer with model on device: cuda
[2021-03-20 01:05:37] Training mlp across 100 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:39] Training accuracy: 0.9095
[2021-03-20 01:05:39] Testing on 1000 data points...
[2021-03-20 01:05:39] Test score for 100 training labels: 0.9580
[2021-03-20 01:05:39] Seeded: 8
[2021-03-20 01:05:39] Running: experiment 3
[2021-03-20 01:05:39] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-20 01:05:39] Reset parameters according to He et al.
[2021-03-20 01:05:39] mlp: initialized 17412 parameters.
[2021-03-20 01:05:39] Creating trainer with model on device: cuda
[2021-03-20 01:05:39] Training mlp across 20 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:40] Training accuracy: 0.8567
[2021-03-20 01:05:40] Testing on 1000 data points...
[2021-03-20 01:05:40] Test score for 20 training labels: 0.7000
[2021-03-20 01:05:40] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:40] Found 1000 unlabelled features.
[2021-03-20 01:05:40] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:05:40] Searching for coresets greedily...
[2021-03-20 01:05:40] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-20 01:05:40] Reset parameters according to He et al.
[2021-03-20 01:05:40] mlp: initialized 17412 parameters.
[2021-03-20 01:05:40] Creating trainer with model on device: cuda
[2021-03-20 01:05:40] Training mlp across 40 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:41] Training accuracy: 0.9348
[2021-03-20 01:05:41] Testing on 1000 data points...
[2021-03-20 01:05:41] Test score for 40 training labels: 0.8830
[2021-03-20 01:05:41] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:41] Found 1000 unlabelled features.
[2021-03-20 01:05:41] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:05:41] Searching for coresets greedily...
[2021-03-20 01:05:41] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-20 01:05:41] Reset parameters according to He et al.
[2021-03-20 01:05:41] mlp: initialized 17412 parameters.
[2021-03-20 01:05:41] Creating trainer with model on device: cuda
[2021-03-20 01:05:41] Training mlp across 60 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:43] Training accuracy: 0.9090
[2021-03-20 01:05:43] Testing on 1000 data points...
[2021-03-20 01:05:43] Test score for 60 training labels: 0.9160
[2021-03-20 01:05:43] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:43] Found 1000 unlabelled features.
[2021-03-20 01:05:43] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:05:43] Searching for coresets greedily...
[2021-03-20 01:05:43] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-20 01:05:43] Reset parameters according to He et al.
[2021-03-20 01:05:43] mlp: initialized 17412 parameters.
[2021-03-20 01:05:43] Creating trainer with model on device: cuda
[2021-03-20 01:05:43] Training mlp across 80 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:45] Training accuracy: 0.8571
[2021-03-20 01:05:45] Testing on 1000 data points...
[2021-03-20 01:05:45] Test score for 80 training labels: 0.9900
[2021-03-20 01:05:45] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-20 01:05:45] Found 1000 unlabelled features.
[2021-03-20 01:05:45] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-20 01:05:45] Searching for coresets greedily...
[2021-03-20 01:05:45] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-20 01:05:45] Reset parameters according to He et al.
[2021-03-20 01:05:45] mlp: initialized 17412 parameters.
[2021-03-20 01:05:45] Creating trainer with model on device: cuda
[2021-03-20 01:05:45] Training mlp across 100 data points in quadrant-offcenter-gauss...
[2021-03-20 01:05:48] Training accuracy: 0.9679
[2021-03-20 01:05:48] Testing on 1000 data points...
[2021-03-20 01:05:48] Test score for 100 training labels: 0.9900
[2021-03-20 01:05:48] Updated results: ../results/quadrant_offcenter_gauss/mlp/results.json
