[2021-03-21 14:37:27] Created experiment 0:
[2021-03-21 14:37:27]  - Model: mlp
[2021-03-21 14:37:27]  - Acquisition function: random
[2021-03-21 14:37:27] Created experiment 1:
[2021-03-21 14:37:27]  - Model: mlp
[2021-03-21 14:37:27]  - Acquisition function: greedy-coreset
[2021-03-21 14:37:27] Created experiment 2:
[2021-03-21 14:37:27]  - Model: mlp
[2021-03-21 14:37:27]  - Acquisition function: least-confidence
[2021-03-21 14:37:27] Created experiment 3:
[2021-03-21 14:37:27]  - Model: mlp
[2021-03-21 14:37:27]  - Acquisition function: lc-beam-coreset
[2021-03-21 14:37:27] Created experiment 4:
[2021-03-21 14:37:27]  - Model: mlp
[2021-03-21 14:37:27]  - Acquisition function: lc-beam-pweighted-coreset
[2021-03-21 14:37:27] Created experiment 5:
[2021-03-21 14:37:27]  - Model: mlp
[2021-03-21 14:37:27]  - Acquisition function: lc-beam-pweighted-relconf-optimcore
[2021-03-21 14:37:27] Created experiment 6:
[2021-03-21 14:37:27]  - Model: mlp
[2021-03-21 14:37:27]  - Acquisition function: lc-beam-pweighted-relconf-coreset
[2021-03-21 14:37:27] Created experiment 7:
[2021-03-21 14:37:27]  - Model: mlp
[2021-03-21 14:37:27]  - Acquisition function: lc-beam-pweighted-relconf-coreset
[2021-03-21 14:37:27] Loading quadrant test set...
[2021-03-21 14:37:28] Saved figure to: ../data/quadrant_data.png
[2021-03-21 14:37:28] Saved figure to: ../data/quadrant_test.png
[2021-03-21 14:37:28] Experiment repeat 1/3
[2021-03-21 14:37:28] Seeded: 5
[2021-03-21 14:37:28] Using 2.00% labels of the dataset (20/1000)
[2021-03-21 14:37:28] Randomly labelled 20/1000
[2021-03-21 14:37:28] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:37:28] Seeded: 6
[2021-03-21 14:37:28] Running: experiment 0
[2021-03-21 14:37:28] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:37:28] Reset parameters according to He et al.
[2021-03-21 14:37:28] mlp: initialized 17412 parameters.
[2021-03-21 14:37:28] Creating trainer with model on device: cuda
[2021-03-21 14:37:33] Training mlp across 20 data points in quadrant...
[2021-03-21 14:37:34] Training accuracy: 0.8433
[2021-03-21 14:37:34] Testing on 1000 data points...
[2021-03-21 14:37:34] Test score for 20 training labels: 0.7230
[2021-03-21 14:37:34] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:37:34] Found 1000 unlabelled features.
[2021-03-21 14:37:34] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:37:34] Reset parameters according to He et al.
[2021-03-21 14:37:34] mlp: initialized 17412 parameters.
[2021-03-21 14:37:34] Creating trainer with model on device: cuda
[2021-03-21 14:37:34] Training mlp across 40 data points in quadrant...
[2021-03-21 14:37:36] Training accuracy: 0.9503
[2021-03-21 14:37:36] Testing on 1000 data points...
[2021-03-21 14:37:36] Test score for 40 training labels: 0.9130
[2021-03-21 14:37:36] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:37:36] Found 1000 unlabelled features.
[2021-03-21 14:37:36] Showing labelled: True (59/1000 visible, 1 redundant)
[2021-03-21 14:37:36] Reset parameters according to He et al.
[2021-03-21 14:37:36] mlp: initialized 17412 parameters.
[2021-03-21 14:37:36] Creating trainer with model on device: cuda
[2021-03-21 14:37:36] Training mlp across 60 data points in quadrant...
[2021-03-21 14:37:39] Training accuracy: 0.9747
[2021-03-21 14:37:39] Testing on 1000 data points...
[2021-03-21 14:37:39] Test score for 60 training labels: 0.9190
[2021-03-21 14:37:39] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:37:39] Found 1000 unlabelled features.
[2021-03-21 14:37:39] Showing labelled: True (78/1000 visible, 2 redundant)
[2021-03-21 14:37:39] Reset parameters according to He et al.
[2021-03-21 14:37:39] mlp: initialized 17412 parameters.
[2021-03-21 14:37:39] Creating trainer with model on device: cuda
[2021-03-21 14:37:39] Training mlp across 80 data points in quadrant...
[2021-03-21 14:37:44] Training accuracy: 0.9399
[2021-03-21 14:37:44] Testing on 1000 data points...
[2021-03-21 14:37:44] Test score for 80 training labels: 0.9450
[2021-03-21 14:37:44] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:37:44] Found 1000 unlabelled features.
[2021-03-21 14:37:44] Showing labelled: True (96/1000 visible, 4 redundant)
[2021-03-21 14:37:44] Reset parameters according to He et al.
[2021-03-21 14:37:44] mlp: initialized 17412 parameters.
[2021-03-21 14:37:44] Creating trainer with model on device: cuda
[2021-03-21 14:37:44] Training mlp across 100 data points in quadrant...
[2021-03-21 14:37:49] Training accuracy: 0.9384
[2021-03-21 14:37:49] Testing on 1000 data points...
[2021-03-21 14:37:49] Test score for 100 training labels: 0.9450
[2021-03-21 14:37:49] Seeded: 6
[2021-03-21 14:37:49] Running: experiment 1
[2021-03-21 14:37:49] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:37:49] Reset parameters according to He et al.
[2021-03-21 14:37:49] mlp: initialized 17412 parameters.
[2021-03-21 14:37:49] Creating trainer with model on device: cuda
[2021-03-21 14:37:49] Training mlp across 20 data points in quadrant...
[2021-03-21 14:37:50] Training accuracy: 0.8433
[2021-03-21 14:37:50] Testing on 1000 data points...
[2021-03-21 14:37:50] Test score for 20 training labels: 0.7230
[2021-03-21 14:37:50] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:37:50] Found 1000 unlabelled features.
[2021-03-21 14:37:50] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:37:50] Searching for coresets greedily...
[2021-03-21 14:37:50] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:37:50] Reset parameters according to He et al.
[2021-03-21 14:37:50] mlp: initialized 17412 parameters.
[2021-03-21 14:37:50] Creating trainer with model on device: cuda
[2021-03-21 14:37:50] Training mlp across 40 data points in quadrant...
[2021-03-21 14:37:52] Training accuracy: 0.9381
[2021-03-21 14:37:52] Testing on 1000 data points...
[2021-03-21 14:37:52] Test score for 40 training labels: 0.9400
[2021-03-21 14:37:52] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:37:52] Found 1000 unlabelled features.
[2021-03-21 14:37:52] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:37:52] Searching for coresets greedily...
[2021-03-21 14:37:52] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:37:52] Reset parameters according to He et al.
[2021-03-21 14:37:52] mlp: initialized 17412 parameters.
[2021-03-21 14:37:52] Creating trainer with model on device: cuda
[2021-03-21 14:37:52] Training mlp across 60 data points in quadrant...
[2021-03-21 14:37:56] Training accuracy: 0.9243
[2021-03-21 14:37:56] Testing on 1000 data points...
[2021-03-21 14:37:56] Test score for 60 training labels: 0.9530
[2021-03-21 14:37:56] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:37:56] Found 1000 unlabelled features.
[2021-03-21 14:37:56] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:37:56] Searching for coresets greedily...
[2021-03-21 14:37:56] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:37:56] Reset parameters according to He et al.
[2021-03-21 14:37:56] mlp: initialized 17412 parameters.
[2021-03-21 14:37:56] Creating trainer with model on device: cuda
[2021-03-21 14:37:56] Training mlp across 80 data points in quadrant...
[2021-03-21 14:38:00] Training accuracy: 0.9374
[2021-03-21 14:38:00] Testing on 1000 data points...
[2021-03-21 14:38:00] Test score for 80 training labels: 0.9670
[2021-03-21 14:38:00] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:38:00] Found 1000 unlabelled features.
[2021-03-21 14:38:00] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:38:00] Searching for coresets greedily...
[2021-03-21 14:38:00] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-21 14:38:00] Reset parameters according to He et al.
[2021-03-21 14:38:00] mlp: initialized 17412 parameters.
[2021-03-21 14:38:00] Creating trainer with model on device: cuda
[2021-03-21 14:38:00] Training mlp across 100 data points in quadrant...
[2021-03-21 14:38:06] Training accuracy: 0.9437
[2021-03-21 14:38:06] Testing on 1000 data points...
[2021-03-21 14:38:06] Test score for 100 training labels: 0.9830
[2021-03-21 14:38:06] Seeded: 6
[2021-03-21 14:38:06] Running: experiment 2
[2021-03-21 14:38:06] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:38:06] Reset parameters according to He et al.
[2021-03-21 14:38:06] mlp: initialized 17412 parameters.
[2021-03-21 14:38:06] Creating trainer with model on device: cuda
[2021-03-21 14:38:06] Training mlp across 20 data points in quadrant...
[2021-03-21 14:38:07] Training accuracy: 0.8433
[2021-03-21 14:38:07] Testing on 1000 data points...
[2021-03-21 14:38:07] Test score for 20 training labels: 0.7230
[2021-03-21 14:38:07] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:38:07] Found 1000 unlabelled features.
[2021-03-21 14:38:07] Showing labelled: True (39/1000 visible, 1 redundant)
[2021-03-21 14:38:07] Reset parameters according to He et al.
[2021-03-21 14:38:07] mlp: initialized 17412 parameters.
[2021-03-21 14:38:07] Creating trainer with model on device: cuda
[2021-03-21 14:38:07] Training mlp across 40 data points in quadrant...
[2021-03-21 14:38:09] Training accuracy: 0.9704
[2021-03-21 14:38:09] Testing on 1000 data points...
[2021-03-21 14:38:09] Test score for 40 training labels: 0.8920
[2021-03-21 14:38:09] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:38:09] Found 1000 unlabelled features.
[2021-03-21 14:38:09] Showing labelled: True (59/1000 visible, 1 redundant)
[2021-03-21 14:38:09] Reset parameters according to He et al.
[2021-03-21 14:38:09] mlp: initialized 17412 parameters.
[2021-03-21 14:38:09] Creating trainer with model on device: cuda
[2021-03-21 14:38:09] Training mlp across 60 data points in quadrant...
[2021-03-21 14:38:13] Training accuracy: 0.9116
[2021-03-21 14:38:13] Testing on 1000 data points...
[2021-03-21 14:38:13] Test score for 60 training labels: 0.9320
[2021-03-21 14:38:13] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:38:13] Found 1000 unlabelled features.
[2021-03-21 14:38:13] Showing labelled: True (78/1000 visible, 2 redundant)
[2021-03-21 14:38:13] Reset parameters according to He et al.
[2021-03-21 14:38:13] mlp: initialized 17412 parameters.
[2021-03-21 14:38:13] Creating trainer with model on device: cuda
[2021-03-21 14:38:13] Training mlp across 80 data points in quadrant...
[2021-03-21 14:38:17] Training accuracy: 0.8350
[2021-03-21 14:38:17] Testing on 1000 data points...
[2021-03-21 14:38:17] Test score for 80 training labels: 0.9800
[2021-03-21 14:38:17] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:38:17] Found 1000 unlabelled features.
[2021-03-21 14:38:17] Showing labelled: True (95/1000 visible, 5 redundant)
[2021-03-21 14:38:17] Reset parameters according to He et al.
[2021-03-21 14:38:17] mlp: initialized 17412 parameters.
[2021-03-21 14:38:17] Creating trainer with model on device: cuda
[2021-03-21 14:38:17] Training mlp across 100 data points in quadrant...
[2021-03-21 14:38:23] Training accuracy: 0.7932
[2021-03-21 14:38:23] Testing on 1000 data points...
[2021-03-21 14:38:23] Test score for 100 training labels: 0.9740
[2021-03-21 14:38:23] Seeded: 6
[2021-03-21 14:38:23] Running: experiment 3
[2021-03-21 14:38:23] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:38:23] Reset parameters according to He et al.
[2021-03-21 14:38:23] mlp: initialized 17412 parameters.
[2021-03-21 14:38:23] Creating trainer with model on device: cuda
[2021-03-21 14:38:23] Training mlp across 20 data points in quadrant...
[2021-03-21 14:38:24] Training accuracy: 0.8433
[2021-03-21 14:38:24] Testing on 1000 data points...
[2021-03-21 14:38:24] Test score for 20 training labels: 0.7230
[2021-03-21 14:38:24] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:38:24] Found 1000 unlabelled features.
[2021-03-21 14:38:24] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:38:24] Searching for coresets with 20 beams...
[2021-03-21 14:38:24] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:38:24] Reset parameters according to He et al.
[2021-03-21 14:38:24] mlp: initialized 17412 parameters.
[2021-03-21 14:38:24] Creating trainer with model on device: cuda
[2021-03-21 14:38:24] Training mlp across 40 data points in quadrant...
[2021-03-21 14:38:27] Training accuracy: 0.9151
[2021-03-21 14:38:27] Testing on 1000 data points...
[2021-03-21 14:38:27] Test score for 40 training labels: 0.9300
[2021-03-21 14:38:27] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:38:27] Found 1000 unlabelled features.
[2021-03-21 14:38:27] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:38:27] Searching for coresets with 20 beams...
[2021-03-21 14:38:27] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:38:27] Reset parameters according to He et al.
[2021-03-21 14:38:27] mlp: initialized 17412 parameters.
[2021-03-21 14:38:27] Creating trainer with model on device: cuda
[2021-03-21 14:38:27] Training mlp across 60 data points in quadrant...
[2021-03-21 14:38:30] Training accuracy: 0.9129
[2021-03-21 14:38:30] Testing on 1000 data points...
[2021-03-21 14:38:30] Test score for 60 training labels: 0.9710
[2021-03-21 14:38:30] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:38:30] Found 1000 unlabelled features.
[2021-03-21 14:38:30] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:38:30] Searching for coresets with 20 beams...
[2021-03-21 14:38:30] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:38:30] Reset parameters according to He et al.
[2021-03-21 14:38:30] mlp: initialized 17412 parameters.
[2021-03-21 14:38:30] Creating trainer with model on device: cuda
[2021-03-21 14:38:30] Training mlp across 80 data points in quadrant...
[2021-03-21 14:38:35] Training accuracy: 0.9602
[2021-03-21 14:38:35] Testing on 1000 data points...
[2021-03-21 14:38:35] Test score for 80 training labels: 0.9800
[2021-03-21 14:38:35] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:38:35] Found 1000 unlabelled features.
[2021-03-21 14:38:35] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:38:35] Searching for coresets with 20 beams...
[2021-03-21 14:38:35] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-21 14:38:35] Reset parameters according to He et al.
[2021-03-21 14:38:35] mlp: initialized 17412 parameters.
[2021-03-21 14:38:35] Creating trainer with model on device: cuda
[2021-03-21 14:38:35] Training mlp across 100 data points in quadrant...
[2021-03-21 14:38:40] Training accuracy: 0.9335
[2021-03-21 14:38:40] Testing on 1000 data points...
[2021-03-21 14:38:40] Test score for 100 training labels: 0.9900
[2021-03-21 14:38:40] Seeded: 6
[2021-03-21 14:38:40] Running: experiment 4
[2021-03-21 14:38:40] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:38:40] Reset parameters according to He et al.
[2021-03-21 14:38:40] mlp: initialized 17412 parameters.
[2021-03-21 14:38:40] Creating trainer with model on device: cuda
[2021-03-21 14:38:40] Training mlp across 20 data points in quadrant...
[2021-03-21 14:38:41] Training accuracy: 0.8433
[2021-03-21 14:38:41] Testing on 1000 data points...
[2021-03-21 14:38:42] Test score for 20 training labels: 0.7230
[2021-03-21 14:38:42] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:38:42] Found 1000 unlabelled features.
[2021-03-21 14:38:42] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:38:42] Searching for coresets with 20 beams...
[2021-03-21 14:38:42] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:38:42] Reset parameters according to He et al.
[2021-03-21 14:38:42] mlp: initialized 17412 parameters.
[2021-03-21 14:38:42] Creating trainer with model on device: cuda
[2021-03-21 14:38:42] Training mlp across 40 data points in quadrant...
[2021-03-21 14:38:44] Training accuracy: 0.9391
[2021-03-21 14:38:44] Testing on 1000 data points...
[2021-03-21 14:38:44] Test score for 40 training labels: 0.9310
[2021-03-21 14:38:44] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:38:44] Found 1000 unlabelled features.
[2021-03-21 14:38:44] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:38:44] Searching for coresets with 20 beams...
[2021-03-21 14:38:44] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:38:44] Reset parameters according to He et al.
[2021-03-21 14:38:44] mlp: initialized 17412 parameters.
[2021-03-21 14:38:44] Creating trainer with model on device: cuda
[2021-03-21 14:38:44] Training mlp across 60 data points in quadrant...
[2021-03-21 14:38:47] Training accuracy: 0.8930
[2021-03-21 14:38:47] Testing on 1000 data points...
[2021-03-21 14:38:47] Test score for 60 training labels: 0.9340
[2021-03-21 14:38:47] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:38:47] Found 1000 unlabelled features.
[2021-03-21 14:38:47] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:38:47] Searching for coresets with 20 beams...
[2021-03-21 14:38:47] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:38:47] Reset parameters according to He et al.
[2021-03-21 14:38:47] mlp: initialized 17412 parameters.
[2021-03-21 14:38:47] Creating trainer with model on device: cuda
[2021-03-21 14:38:47] Training mlp across 80 data points in quadrant...
[2021-03-21 14:38:52] Training accuracy: 0.8864
[2021-03-21 14:38:52] Testing on 1000 data points...
[2021-03-21 14:38:52] Test score for 80 training labels: 0.9760
[2021-03-21 14:38:52] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:38:52] Found 1000 unlabelled features.
[2021-03-21 14:38:52] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:38:52] Searching for coresets with 20 beams...
[2021-03-21 14:38:52] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-21 14:38:52] Reset parameters according to He et al.
[2021-03-21 14:38:52] mlp: initialized 17412 parameters.
[2021-03-21 14:38:52] Creating trainer with model on device: cuda
[2021-03-21 14:38:52] Training mlp across 100 data points in quadrant...
[2021-03-21 14:38:58] Training accuracy: 0.8328
[2021-03-21 14:38:58] Testing on 1000 data points...
[2021-03-21 14:38:58] Test score for 100 training labels: 0.9700
[2021-03-21 14:38:58] Seeded: 6
[2021-03-21 14:38:58] Running: experiment 5
[2021-03-21 14:38:58] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:38:58] Reset parameters according to He et al.
[2021-03-21 14:38:58] mlp: initialized 17412 parameters.
[2021-03-21 14:38:58] Creating trainer with model on device: cuda
[2021-03-21 14:38:58] Training mlp across 20 data points in quadrant...
[2021-03-21 14:38:59] Training accuracy: 0.8433
[2021-03-21 14:38:59] Testing on 1000 data points...
[2021-03-21 14:38:59] Test score for 20 training labels: 0.7230
[2021-03-21 14:38:59] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:38:59] Found 1000 unlabelled features.
[2021-03-21 14:38:59] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:38:59] Searching for coresets with 20 beams...
[2021-03-21 14:38:59] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:38:59] Reset parameters according to He et al.
[2021-03-21 14:38:59] mlp: initialized 17412 parameters.
[2021-03-21 14:38:59] Creating trainer with model on device: cuda
[2021-03-21 14:38:59] Training mlp across 40 data points in quadrant...
[2021-03-21 14:39:02] Training accuracy: 0.9235
[2021-03-21 14:39:02] Testing on 1000 data points...
[2021-03-21 14:39:02] Test score for 40 training labels: 0.9110
[2021-03-21 14:39:02] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:39:02] Found 1000 unlabelled features.
[2021-03-21 14:39:02] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:39:02] Searching for coresets with 20 beams...
[2021-03-21 14:39:02] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:39:02] Reset parameters according to He et al.
[2021-03-21 14:39:02] mlp: initialized 17412 parameters.
[2021-03-21 14:39:02] Creating trainer with model on device: cuda
[2021-03-21 14:39:02] Training mlp across 60 data points in quadrant...
[2021-03-21 14:39:05] Training accuracy: 0.8910
[2021-03-21 14:39:05] Testing on 1000 data points...
[2021-03-21 14:39:05] Test score for 60 training labels: 0.9590
[2021-03-21 14:39:05] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:39:05] Found 1000 unlabelled features.
[2021-03-21 14:39:05] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:39:05] Searching for coresets with 20 beams...
[2021-03-21 14:39:05] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:39:05] Reset parameters according to He et al.
[2021-03-21 14:39:05] mlp: initialized 17412 parameters.
[2021-03-21 14:39:05] Creating trainer with model on device: cuda
[2021-03-21 14:39:05] Training mlp across 80 data points in quadrant...
[2021-03-21 14:39:09] Training accuracy: 0.8926
[2021-03-21 14:39:09] Testing on 1000 data points...
[2021-03-21 14:39:09] Test score for 80 training labels: 0.9740
[2021-03-21 14:39:09] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:39:09] Found 1000 unlabelled features.
[2021-03-21 14:39:09] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:39:09] Searching for coresets with 20 beams...
[2021-03-21 14:39:09] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-21 14:39:09] Reset parameters according to He et al.
[2021-03-21 14:39:09] mlp: initialized 17412 parameters.
[2021-03-21 14:39:09] Creating trainer with model on device: cuda
[2021-03-21 14:39:09] Training mlp across 100 data points in quadrant...
[2021-03-21 14:39:15] Training accuracy: 0.8378
[2021-03-21 14:39:15] Testing on 1000 data points...
[2021-03-21 14:39:15] Test score for 100 training labels: 0.9800
[2021-03-21 14:39:15] Seeded: 6
[2021-03-21 14:39:15] Running: experiment 6
[2021-03-21 14:39:15] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:39:15] Reset parameters according to He et al.
[2021-03-21 14:39:15] mlp: initialized 17412 parameters.
[2021-03-21 14:39:15] Creating trainer with model on device: cuda
[2021-03-21 14:39:15] Training mlp across 20 data points in quadrant...
[2021-03-21 14:39:16] Training accuracy: 0.8433
[2021-03-21 14:39:16] Testing on 1000 data points...
[2021-03-21 14:39:16] Test score for 20 training labels: 0.7230
[2021-03-21 14:39:16] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:39:16] Found 1000 unlabelled features.
[2021-03-21 14:39:16] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:39:16] Searching for coresets with 20 beams...
[2021-03-21 14:39:16] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:39:16] Reset parameters according to He et al.
[2021-03-21 14:39:16] mlp: initialized 17412 parameters.
[2021-03-21 14:39:16] Creating trainer with model on device: cuda
[2021-03-21 14:39:16] Training mlp across 40 data points in quadrant...
[2021-03-21 14:39:18] Training accuracy: 0.9398
[2021-03-21 14:39:18] Testing on 1000 data points...
[2021-03-21 14:39:18] Test score for 40 training labels: 0.9260
[2021-03-21 14:39:18] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:39:18] Found 1000 unlabelled features.
[2021-03-21 14:39:18] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:39:18] Searching for coresets with 20 beams...
[2021-03-21 14:39:18] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:39:18] Reset parameters according to He et al.
[2021-03-21 14:39:18] mlp: initialized 17412 parameters.
[2021-03-21 14:39:18] Creating trainer with model on device: cuda
[2021-03-21 14:39:18] Training mlp across 60 data points in quadrant...
[2021-03-21 14:39:21] Training accuracy: 0.9154
[2021-03-21 14:39:21] Testing on 1000 data points...
[2021-03-21 14:39:21] Test score for 60 training labels: 0.9420
[2021-03-21 14:39:21] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:39:21] Found 1000 unlabelled features.
[2021-03-21 14:39:21] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:39:21] Searching for coresets with 20 beams...
[2021-03-21 14:39:22] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:39:22] Reset parameters according to He et al.
[2021-03-21 14:39:22] mlp: initialized 17412 parameters.
[2021-03-21 14:39:22] Creating trainer with model on device: cuda
[2021-03-21 14:39:22] Training mlp across 80 data points in quadrant...
[2021-03-21 14:39:26] Training accuracy: 0.9036
[2021-03-21 14:39:26] Testing on 1000 data points...
[2021-03-21 14:39:26] Test score for 80 training labels: 0.9760
[2021-03-21 14:39:26] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:39:26] Found 1000 unlabelled features.
[2021-03-21 14:39:26] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:39:26] Searching for coresets with 20 beams...
[2021-03-21 14:39:26] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-21 14:39:26] Reset parameters according to He et al.
[2021-03-21 14:39:26] mlp: initialized 17412 parameters.
[2021-03-21 14:39:26] Creating trainer with model on device: cuda
[2021-03-21 14:39:26] Training mlp across 100 data points in quadrant...
[2021-03-21 14:39:31] Training accuracy: 0.8312
[2021-03-21 14:39:31] Testing on 1000 data points...
[2021-03-21 14:39:31] Test score for 100 training labels: 0.9870
[2021-03-21 14:39:31] Seeded: 6
[2021-03-21 14:39:31] Running: experiment 7
[2021-03-21 14:39:31] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:39:31] Reset parameters according to He et al.
[2021-03-21 14:39:31] mlp: initialized 17412 parameters.
[2021-03-21 14:39:31] Creating trainer with model on device: cuda
[2021-03-21 14:39:31] Training mlp across 20 data points in quadrant...
[2021-03-21 14:39:33] Training accuracy: 0.8433
[2021-03-21 14:39:33] Testing on 1000 data points...
[2021-03-21 14:39:33] Test score for 20 training labels: 0.7230
[2021-03-21 14:39:33] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:39:33] Found 1000 unlabelled features.
[2021-03-21 14:39:33] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:39:33] Searching for coresets with 1 beams...
[2021-03-21 14:39:33] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:39:33] Reset parameters according to He et al.
[2021-03-21 14:39:33] mlp: initialized 17412 parameters.
[2021-03-21 14:39:33] Creating trainer with model on device: cuda
[2021-03-21 14:39:33] Training mlp across 40 data points in quadrant...
[2021-03-21 14:39:35] Training accuracy: 0.9235
[2021-03-21 14:39:35] Testing on 1000 data points...
[2021-03-21 14:39:35] Test score for 40 training labels: 0.9110
[2021-03-21 14:39:35] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:39:35] Found 1000 unlabelled features.
[2021-03-21 14:39:35] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:39:35] Searching for coresets with 1 beams...
[2021-03-21 14:39:35] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:39:35] Reset parameters according to He et al.
[2021-03-21 14:39:35] mlp: initialized 17412 parameters.
[2021-03-21 14:39:35] Creating trainer with model on device: cuda
[2021-03-21 14:39:35] Training mlp across 60 data points in quadrant...
[2021-03-21 14:39:38] Training accuracy: 0.8910
[2021-03-21 14:39:38] Testing on 1000 data points...
[2021-03-21 14:39:38] Test score for 60 training labels: 0.9590
[2021-03-21 14:39:38] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:39:38] Found 1000 unlabelled features.
[2021-03-21 14:39:38] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:39:38] Searching for coresets with 1 beams...
[2021-03-21 14:39:38] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:39:38] Reset parameters according to He et al.
[2021-03-21 14:39:38] mlp: initialized 17412 parameters.
[2021-03-21 14:39:38] Creating trainer with model on device: cuda
[2021-03-21 14:39:38] Training mlp across 80 data points in quadrant...
[2021-03-21 14:39:43] Training accuracy: 0.8926
[2021-03-21 14:39:43] Testing on 1000 data points...
[2021-03-21 14:39:43] Test score for 80 training labels: 0.9740
[2021-03-21 14:39:43] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:39:43] Found 1000 unlabelled features.
[2021-03-21 14:39:43] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:39:43] Searching for coresets with 1 beams...
[2021-03-21 14:39:43] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-21 14:39:43] Reset parameters according to He et al.
[2021-03-21 14:39:43] mlp: initialized 17412 parameters.
[2021-03-21 14:39:43] Creating trainer with model on device: cuda
[2021-03-21 14:39:43] Training mlp across 100 data points in quadrant...
[2021-03-21 14:39:49] Training accuracy: 0.8378
[2021-03-21 14:39:49] Testing on 1000 data points...
[2021-03-21 14:39:49] Test score for 100 training labels: 0.9800
[2021-03-21 14:39:49] Experiment repeat 2/3
[2021-03-21 14:39:49] Seeded: 6
[2021-03-21 14:39:49] Using 2.00% labels of the dataset (20/1000)
[2021-03-21 14:39:49] Randomly labelled 20/1000
[2021-03-21 14:39:49] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:39:49] Seeded: 7
[2021-03-21 14:39:49] Running: experiment 0
[2021-03-21 14:39:49] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:39:49] Reset parameters according to He et al.
[2021-03-21 14:39:49] mlp: initialized 17412 parameters.
[2021-03-21 14:39:49] Creating trainer with model on device: cuda
[2021-03-21 14:39:49] Training mlp across 20 data points in quadrant...
[2021-03-21 14:39:50] Training accuracy: 0.9483
[2021-03-21 14:39:50] Testing on 1000 data points...
[2021-03-21 14:39:50] Test score for 20 training labels: 0.8800
[2021-03-21 14:39:50] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:39:50] Found 1000 unlabelled features.
[2021-03-21 14:39:50] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:39:50] Reset parameters according to He et al.
[2021-03-21 14:39:50] mlp: initialized 17412 parameters.
[2021-03-21 14:39:50] Creating trainer with model on device: cuda
[2021-03-21 14:39:50] Training mlp across 40 data points in quadrant...
[2021-03-21 14:39:52] Training accuracy: 0.9302
[2021-03-21 14:39:52] Testing on 1000 data points...
[2021-03-21 14:39:52] Test score for 40 training labels: 0.9500
[2021-03-21 14:39:52] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:39:52] Found 1000 unlabelled features.
[2021-03-21 14:39:52] Showing labelled: True (59/1000 visible, 1 redundant)
[2021-03-21 14:39:52] Reset parameters according to He et al.
[2021-03-21 14:39:52] mlp: initialized 17412 parameters.
[2021-03-21 14:39:52] Creating trainer with model on device: cuda
[2021-03-21 14:39:52] Training mlp across 60 data points in quadrant...
[2021-03-21 14:39:56] Training accuracy: 0.9339
[2021-03-21 14:39:56] Testing on 1000 data points...
[2021-03-21 14:39:56] Test score for 60 training labels: 0.9470
[2021-03-21 14:39:56] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:39:56] Found 1000 unlabelled features.
[2021-03-21 14:39:56] Showing labelled: True (77/1000 visible, 3 redundant)
[2021-03-21 14:39:56] Reset parameters according to He et al.
[2021-03-21 14:39:56] mlp: initialized 17412 parameters.
[2021-03-21 14:39:56] Creating trainer with model on device: cuda
[2021-03-21 14:39:56] Training mlp across 80 data points in quadrant...
[2021-03-21 14:40:01] Training accuracy: 0.9474
[2021-03-21 14:40:01] Testing on 1000 data points...
[2021-03-21 14:40:01] Test score for 80 training labels: 0.9460
[2021-03-21 14:40:01] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:40:01] Found 1000 unlabelled features.
[2021-03-21 14:40:01] Showing labelled: True (95/1000 visible, 5 redundant)
[2021-03-21 14:40:01] Reset parameters according to He et al.
[2021-03-21 14:40:01] mlp: initialized 17412 parameters.
[2021-03-21 14:40:01] Creating trainer with model on device: cuda
[2021-03-21 14:40:01] Training mlp across 100 data points in quadrant...
[2021-03-21 14:40:07] Training accuracy: 0.9666
[2021-03-21 14:40:07] Testing on 1000 data points...
[2021-03-21 14:40:07] Test score for 100 training labels: 0.9590
[2021-03-21 14:40:07] Seeded: 7
[2021-03-21 14:40:07] Running: experiment 1
[2021-03-21 14:40:07] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:40:07] Reset parameters according to He et al.
[2021-03-21 14:40:07] mlp: initialized 17412 parameters.
[2021-03-21 14:40:07] Creating trainer with model on device: cuda
[2021-03-21 14:40:07] Training mlp across 20 data points in quadrant...
[2021-03-21 14:40:08] Training accuracy: 0.9483
[2021-03-21 14:40:08] Testing on 1000 data points...
[2021-03-21 14:40:08] Test score for 20 training labels: 0.8800
[2021-03-21 14:40:08] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:40:08] Found 1000 unlabelled features.
[2021-03-21 14:40:08] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:40:08] Searching for coresets greedily...
[2021-03-21 14:40:08] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:40:08] Reset parameters according to He et al.
[2021-03-21 14:40:08] mlp: initialized 17412 parameters.
[2021-03-21 14:40:08] Creating trainer with model on device: cuda
[2021-03-21 14:40:08] Training mlp across 40 data points in quadrant...
[2021-03-21 14:40:10] Training accuracy: 0.8991
[2021-03-21 14:40:10] Testing on 1000 data points...
[2021-03-21 14:40:10] Test score for 40 training labels: 0.9500
[2021-03-21 14:40:10] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:40:10] Found 1000 unlabelled features.
[2021-03-21 14:40:10] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:40:10] Searching for coresets greedily...
[2021-03-21 14:40:10] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:40:10] Reset parameters according to He et al.
[2021-03-21 14:40:10] mlp: initialized 17412 parameters.
[2021-03-21 14:40:10] Creating trainer with model on device: cuda
[2021-03-21 14:40:10] Training mlp across 60 data points in quadrant...
[2021-03-21 14:40:13] Training accuracy: 0.9043
[2021-03-21 14:40:13] Testing on 1000 data points...
[2021-03-21 14:40:13] Test score for 60 training labels: 0.9660
[2021-03-21 14:40:13] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:40:13] Found 1000 unlabelled features.
[2021-03-21 14:40:13] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:40:13] Searching for coresets greedily...
[2021-03-21 14:40:13] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:40:13] Reset parameters according to He et al.
[2021-03-21 14:40:13] mlp: initialized 17412 parameters.
[2021-03-21 14:40:13] Creating trainer with model on device: cuda
[2021-03-21 14:40:13] Training mlp across 80 data points in quadrant...
[2021-03-21 14:40:18] Training accuracy: 0.9132
[2021-03-21 14:40:18] Testing on 1000 data points...
[2021-03-21 14:40:18] Test score for 80 training labels: 0.9820
[2021-03-21 14:40:18] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:40:18] Found 1000 unlabelled features.
[2021-03-21 14:40:18] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:40:18] Searching for coresets greedily...
[2021-03-21 14:40:18] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-21 14:40:18] Reset parameters according to He et al.
[2021-03-21 14:40:18] mlp: initialized 17412 parameters.
[2021-03-21 14:40:18] Creating trainer with model on device: cuda
[2021-03-21 14:40:18] Training mlp across 100 data points in quadrant...
[2021-03-21 14:40:24] Training accuracy: 0.9265
[2021-03-21 14:40:24] Testing on 1000 data points...
[2021-03-21 14:40:24] Test score for 100 training labels: 0.9800
[2021-03-21 14:40:24] Seeded: 7
[2021-03-21 14:40:24] Running: experiment 2
[2021-03-21 14:40:24] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:40:24] Reset parameters according to He et al.
[2021-03-21 14:40:24] mlp: initialized 17412 parameters.
[2021-03-21 14:40:24] Creating trainer with model on device: cuda
[2021-03-21 14:40:24] Training mlp across 20 data points in quadrant...
[2021-03-21 14:40:25] Training accuracy: 0.9483
[2021-03-21 14:40:25] Testing on 1000 data points...
[2021-03-21 14:40:25] Test score for 20 training labels: 0.8800
[2021-03-21 14:40:25] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:40:25] Found 1000 unlabelled features.
[2021-03-21 14:40:25] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:40:25] Reset parameters according to He et al.
[2021-03-21 14:40:25] mlp: initialized 17412 parameters.
[2021-03-21 14:40:25] Creating trainer with model on device: cuda
[2021-03-21 14:40:25] Training mlp across 40 data points in quadrant...
[2021-03-21 14:40:27] Training accuracy: 0.8478
[2021-03-21 14:40:27] Testing on 1000 data points...
[2021-03-21 14:40:27] Test score for 40 training labels: 0.9430
[2021-03-21 14:40:27] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:40:27] Found 1000 unlabelled features.
[2021-03-21 14:40:27] Showing labelled: True (58/1000 visible, 2 redundant)
[2021-03-21 14:40:27] Reset parameters according to He et al.
[2021-03-21 14:40:27] mlp: initialized 17412 parameters.
[2021-03-21 14:40:27] Creating trainer with model on device: cuda
[2021-03-21 14:40:27] Training mlp across 60 data points in quadrant...
[2021-03-21 14:40:30] Training accuracy: 0.8933
[2021-03-21 14:40:30] Testing on 1000 data points...
[2021-03-21 14:40:30] Test score for 60 training labels: 0.9360
[2021-03-21 14:40:30] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:40:30] Found 1000 unlabelled features.
[2021-03-21 14:40:30] Showing labelled: True (74/1000 visible, 6 redundant)
[2021-03-21 14:40:30] Reset parameters according to He et al.
[2021-03-21 14:40:30] mlp: initialized 17412 parameters.
[2021-03-21 14:40:30] Creating trainer with model on device: cuda
[2021-03-21 14:40:30] Training mlp across 80 data points in quadrant...
[2021-03-21 14:40:35] Training accuracy: 0.8253
[2021-03-21 14:40:35] Testing on 1000 data points...
[2021-03-21 14:40:35] Test score for 80 training labels: 0.9380
[2021-03-21 14:40:35] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:40:35] Found 1000 unlabelled features.
[2021-03-21 14:40:35] Showing labelled: True (85/1000 visible, 15 redundant)
[2021-03-21 14:40:35] Reset parameters according to He et al.
[2021-03-21 14:40:35] mlp: initialized 17412 parameters.
[2021-03-21 14:40:35] Creating trainer with model on device: cuda
[2021-03-21 14:40:35] Training mlp across 100 data points in quadrant...
[2021-03-21 14:40:41] Training accuracy: 0.8517
[2021-03-21 14:40:41] Testing on 1000 data points...
[2021-03-21 14:40:41] Test score for 100 training labels: 0.9660
[2021-03-21 14:40:41] Seeded: 7
[2021-03-21 14:40:41] Running: experiment 3
[2021-03-21 14:40:41] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:40:41] Reset parameters according to He et al.
[2021-03-21 14:40:41] mlp: initialized 17412 parameters.
[2021-03-21 14:40:41] Creating trainer with model on device: cuda
[2021-03-21 14:40:41] Training mlp across 20 data points in quadrant...
[2021-03-21 14:40:42] Training accuracy: 0.9483
[2021-03-21 14:40:42] Testing on 1000 data points...
[2021-03-21 14:40:42] Test score for 20 training labels: 0.8800
[2021-03-21 14:40:42] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:40:42] Found 1000 unlabelled features.
[2021-03-21 14:40:42] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:40:42] Searching for coresets with 20 beams...
[2021-03-21 14:40:42] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:40:42] Reset parameters according to He et al.
[2021-03-21 14:40:42] mlp: initialized 17412 parameters.
[2021-03-21 14:40:42] Creating trainer with model on device: cuda
[2021-03-21 14:40:42] Training mlp across 40 data points in quadrant...
[2021-03-21 14:40:44] Training accuracy: 0.9477
[2021-03-21 14:40:44] Testing on 1000 data points...
[2021-03-21 14:40:44] Test score for 40 training labels: 0.9470
[2021-03-21 14:40:44] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:40:44] Found 1000 unlabelled features.
[2021-03-21 14:40:44] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:40:44] Searching for coresets with 20 beams...
[2021-03-21 14:40:44] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:40:44] Reset parameters according to He et al.
[2021-03-21 14:40:44] mlp: initialized 17412 parameters.
[2021-03-21 14:40:44] Creating trainer with model on device: cuda
[2021-03-21 14:40:44] Training mlp across 60 data points in quadrant...
[2021-03-21 14:40:47] Training accuracy: 0.8951
[2021-03-21 14:40:47] Testing on 1000 data points...
[2021-03-21 14:40:47] Test score for 60 training labels: 0.9790
[2021-03-21 14:40:47] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:40:47] Found 1000 unlabelled features.
[2021-03-21 14:40:47] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:40:47] Searching for coresets with 20 beams...
[2021-03-21 14:40:47] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:40:47] Reset parameters according to He et al.
[2021-03-21 14:40:47] mlp: initialized 17412 parameters.
[2021-03-21 14:40:47] Creating trainer with model on device: cuda
[2021-03-21 14:40:47] Training mlp across 80 data points in quadrant...
[2021-03-21 14:40:52] Training accuracy: 0.9175
[2021-03-21 14:40:52] Testing on 1000 data points...
[2021-03-21 14:40:52] Test score for 80 training labels: 0.9830
[2021-03-21 14:40:52] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:40:52] Found 1000 unlabelled features.
[2021-03-21 14:40:52] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:40:52] Searching for coresets with 20 beams...
[2021-03-21 14:40:52] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-21 14:40:52] Reset parameters according to He et al.
[2021-03-21 14:40:52] mlp: initialized 17412 parameters.
[2021-03-21 14:40:52] Creating trainer with model on device: cuda
[2021-03-21 14:40:52] Training mlp across 100 data points in quadrant...
[2021-03-21 14:40:58] Training accuracy: 0.8835
[2021-03-21 14:40:58] Testing on 1000 data points...
[2021-03-21 14:40:58] Test score for 100 training labels: 0.9750
[2021-03-21 14:40:58] Seeded: 7
[2021-03-21 14:40:58] Running: experiment 4
[2021-03-21 14:40:58] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:40:58] Reset parameters according to He et al.
[2021-03-21 14:40:58] mlp: initialized 17412 parameters.
[2021-03-21 14:40:58] Creating trainer with model on device: cuda
[2021-03-21 14:40:58] Training mlp across 20 data points in quadrant...
[2021-03-21 14:40:59] Training accuracy: 0.9483
[2021-03-21 14:40:59] Testing on 1000 data points...
[2021-03-21 14:40:59] Test score for 20 training labels: 0.8800
[2021-03-21 14:40:59] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:40:59] Found 1000 unlabelled features.
[2021-03-21 14:40:59] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:40:59] Searching for coresets with 20 beams...
[2021-03-21 14:40:59] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:40:59] Reset parameters according to He et al.
[2021-03-21 14:40:59] mlp: initialized 17412 parameters.
[2021-03-21 14:40:59] Creating trainer with model on device: cuda
[2021-03-21 14:40:59] Training mlp across 40 data points in quadrant...
[2021-03-21 14:41:01] Training accuracy: 0.9222
[2021-03-21 14:41:01] Testing on 1000 data points...
[2021-03-21 14:41:01] Test score for 40 training labels: 0.9440
[2021-03-21 14:41:01] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:41:01] Found 1000 unlabelled features.
[2021-03-21 14:41:01] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:41:01] Searching for coresets with 20 beams...
[2021-03-21 14:41:01] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:41:01] Reset parameters according to He et al.
[2021-03-21 14:41:01] mlp: initialized 17412 parameters.
[2021-03-21 14:41:01] Creating trainer with model on device: cuda
[2021-03-21 14:41:01] Training mlp across 60 data points in quadrant...
[2021-03-21 14:41:05] Training accuracy: 0.8673
[2021-03-21 14:41:05] Testing on 1000 data points...
[2021-03-21 14:41:05] Test score for 60 training labels: 0.9630
[2021-03-21 14:41:05] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:41:05] Found 1000 unlabelled features.
[2021-03-21 14:41:05] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:41:05] Searching for coresets with 20 beams...
[2021-03-21 14:41:05] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:41:05] Reset parameters according to He et al.
[2021-03-21 14:41:05] mlp: initialized 17412 parameters.
[2021-03-21 14:41:05] Creating trainer with model on device: cuda
[2021-03-21 14:41:05] Training mlp across 80 data points in quadrant...
[2021-03-21 14:41:09] Training accuracy: 0.8625
[2021-03-21 14:41:09] Testing on 1000 data points...
[2021-03-21 14:41:09] Test score for 80 training labels: 0.9590
[2021-03-21 14:41:09] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:41:09] Found 1000 unlabelled features.
[2021-03-21 14:41:09] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:41:09] Searching for coresets with 20 beams...
[2021-03-21 14:41:09] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-21 14:41:09] Reset parameters according to He et al.
[2021-03-21 14:41:09] mlp: initialized 17412 parameters.
[2021-03-21 14:41:09] Creating trainer with model on device: cuda
[2021-03-21 14:41:09] Training mlp across 100 data points in quadrant...
[2021-03-21 14:41:15] Training accuracy: 0.7908
[2021-03-21 14:41:15] Testing on 1000 data points...
[2021-03-21 14:41:15] Test score for 100 training labels: 0.9880
[2021-03-21 14:41:15] Seeded: 7
[2021-03-21 14:41:15] Running: experiment 5
[2021-03-21 14:41:15] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:41:15] Reset parameters according to He et al.
[2021-03-21 14:41:15] mlp: initialized 17412 parameters.
[2021-03-21 14:41:15] Creating trainer with model on device: cuda
[2021-03-21 14:41:15] Training mlp across 20 data points in quadrant...
[2021-03-21 14:41:16] Training accuracy: 0.9483
[2021-03-21 14:41:16] Testing on 1000 data points...
[2021-03-21 14:41:16] Test score for 20 training labels: 0.8800
[2021-03-21 14:41:16] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:41:16] Found 1000 unlabelled features.
[2021-03-21 14:41:16] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:41:16] Searching for coresets with 20 beams...
[2021-03-21 14:41:17] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:41:17] Reset parameters according to He et al.
[2021-03-21 14:41:17] mlp: initialized 17412 parameters.
[2021-03-21 14:41:17] Creating trainer with model on device: cuda
[2021-03-21 14:41:17] Training mlp across 40 data points in quadrant...
[2021-03-21 14:41:19] Training accuracy: 0.9314
[2021-03-21 14:41:19] Testing on 1000 data points...
[2021-03-21 14:41:19] Test score for 40 training labels: 0.9610
[2021-03-21 14:41:19] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:41:19] Found 1000 unlabelled features.
[2021-03-21 14:41:19] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:41:19] Searching for coresets with 20 beams...
[2021-03-21 14:41:19] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:41:19] Reset parameters according to He et al.
[2021-03-21 14:41:19] mlp: initialized 17412 parameters.
[2021-03-21 14:41:19] Creating trainer with model on device: cuda
[2021-03-21 14:41:19] Training mlp across 60 data points in quadrant...
[2021-03-21 14:41:22] Training accuracy: 0.8699
[2021-03-21 14:41:22] Testing on 1000 data points...
[2021-03-21 14:41:22] Test score for 60 training labels: 0.9690
[2021-03-21 14:41:22] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:41:22] Found 1000 unlabelled features.
[2021-03-21 14:41:22] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:41:22] Searching for coresets with 20 beams...
[2021-03-21 14:41:22] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:41:22] Reset parameters according to He et al.
[2021-03-21 14:41:22] mlp: initialized 17412 parameters.
[2021-03-21 14:41:22] Creating trainer with model on device: cuda
[2021-03-21 14:41:22] Training mlp across 80 data points in quadrant...
[2021-03-21 14:41:27] Training accuracy: 0.8504
[2021-03-21 14:41:27] Testing on 1000 data points...
[2021-03-21 14:41:27] Test score for 80 training labels: 0.9860
[2021-03-21 14:41:27] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:41:27] Found 1000 unlabelled features.
[2021-03-21 14:41:27] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:41:27] Searching for coresets with 20 beams...
[2021-03-21 14:41:27] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-21 14:41:27] Reset parameters according to He et al.
[2021-03-21 14:41:27] mlp: initialized 17412 parameters.
[2021-03-21 14:41:27] Creating trainer with model on device: cuda
[2021-03-21 14:41:27] Training mlp across 100 data points in quadrant...
[2021-03-21 14:41:32] Training accuracy: 0.8006
[2021-03-21 14:41:32] Testing on 1000 data points...
[2021-03-21 14:41:32] Test score for 100 training labels: 0.9900
[2021-03-21 14:41:32] Seeded: 7
[2021-03-21 14:41:32] Running: experiment 6
[2021-03-21 14:41:32] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:41:32] Reset parameters according to He et al.
[2021-03-21 14:41:32] mlp: initialized 17412 parameters.
[2021-03-21 14:41:32] Creating trainer with model on device: cuda
[2021-03-21 14:41:32] Training mlp across 20 data points in quadrant...
[2021-03-21 14:41:33] Training accuracy: 0.9483
[2021-03-21 14:41:33] Testing on 1000 data points...
[2021-03-21 14:41:33] Test score for 20 training labels: 0.8800
[2021-03-21 14:41:33] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:41:33] Found 1000 unlabelled features.
[2021-03-21 14:41:33] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:41:33] Searching for coresets with 20 beams...
[2021-03-21 14:41:33] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:41:33] Reset parameters according to He et al.
[2021-03-21 14:41:33] mlp: initialized 17412 parameters.
[2021-03-21 14:41:33] Creating trainer with model on device: cuda
[2021-03-21 14:41:33] Training mlp across 40 data points in quadrant...
[2021-03-21 14:41:36] Training accuracy: 0.8974
[2021-03-21 14:41:36] Testing on 1000 data points...
[2021-03-21 14:41:36] Test score for 40 training labels: 0.9470
[2021-03-21 14:41:36] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:41:36] Found 1000 unlabelled features.
[2021-03-21 14:41:36] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:41:36] Searching for coresets with 20 beams...
[2021-03-21 14:41:36] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:41:36] Reset parameters according to He et al.
[2021-03-21 14:41:36] mlp: initialized 17412 parameters.
[2021-03-21 14:41:36] Creating trainer with model on device: cuda
[2021-03-21 14:41:36] Training mlp across 60 data points in quadrant...
[2021-03-21 14:41:39] Training accuracy: 0.8750
[2021-03-21 14:41:39] Testing on 1000 data points...
[2021-03-21 14:41:39] Test score for 60 training labels: 0.9810
[2021-03-21 14:41:39] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:41:39] Found 1000 unlabelled features.
[2021-03-21 14:41:39] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:41:39] Searching for coresets with 20 beams...
[2021-03-21 14:41:39] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:41:39] Reset parameters according to He et al.
[2021-03-21 14:41:39] mlp: initialized 17412 parameters.
[2021-03-21 14:41:39] Creating trainer with model on device: cuda
[2021-03-21 14:41:39] Training mlp across 80 data points in quadrant...
[2021-03-21 14:41:44] Training accuracy: 0.8037
[2021-03-21 14:41:44] Testing on 1000 data points...
[2021-03-21 14:41:44] Test score for 80 training labels: 0.9700
[2021-03-21 14:41:44] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:41:44] Found 1000 unlabelled features.
[2021-03-21 14:41:44] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:41:44] Searching for coresets with 20 beams...
[2021-03-21 14:41:44] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-21 14:41:44] Reset parameters according to He et al.
[2021-03-21 14:41:44] mlp: initialized 17412 parameters.
[2021-03-21 14:41:44] Creating trainer with model on device: cuda
[2021-03-21 14:41:44] Training mlp across 100 data points in quadrant...
[2021-03-21 14:41:49] Training accuracy: 0.8245
[2021-03-21 14:41:49] Testing on 1000 data points...
[2021-03-21 14:41:49] Test score for 100 training labels: 0.9730
[2021-03-21 14:41:49] Seeded: 7
[2021-03-21 14:41:49] Running: experiment 7
[2021-03-21 14:41:49] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:41:49] Reset parameters according to He et al.
[2021-03-21 14:41:49] mlp: initialized 17412 parameters.
[2021-03-21 14:41:49] Creating trainer with model on device: cuda
[2021-03-21 14:41:49] Training mlp across 20 data points in quadrant...
[2021-03-21 14:41:51] Training accuracy: 0.9483
[2021-03-21 14:41:51] Testing on 1000 data points...
[2021-03-21 14:41:51] Test score for 20 training labels: 0.8800
[2021-03-21 14:41:51] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:41:51] Found 1000 unlabelled features.
[2021-03-21 14:41:51] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:41:51] Searching for coresets with 1 beams...
[2021-03-21 14:41:51] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:41:51] Reset parameters according to He et al.
[2021-03-21 14:41:51] mlp: initialized 17412 parameters.
[2021-03-21 14:41:51] Creating trainer with model on device: cuda
[2021-03-21 14:41:51] Training mlp across 40 data points in quadrant...
[2021-03-21 14:41:53] Training accuracy: 0.9314
[2021-03-21 14:41:53] Testing on 1000 data points...
[2021-03-21 14:41:53] Test score for 40 training labels: 0.9610
[2021-03-21 14:41:53] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:41:53] Found 1000 unlabelled features.
[2021-03-21 14:41:53] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:41:53] Searching for coresets with 1 beams...
[2021-03-21 14:41:53] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:41:53] Reset parameters according to He et al.
[2021-03-21 14:41:53] mlp: initialized 17412 parameters.
[2021-03-21 14:41:53] Creating trainer with model on device: cuda
[2021-03-21 14:41:53] Training mlp across 60 data points in quadrant...
[2021-03-21 14:41:56] Training accuracy: 0.8699
[2021-03-21 14:41:56] Testing on 1000 data points...
[2021-03-21 14:41:56] Test score for 60 training labels: 0.9690
[2021-03-21 14:41:56] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:41:56] Found 1000 unlabelled features.
[2021-03-21 14:41:56] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:41:56] Searching for coresets with 1 beams...
[2021-03-21 14:41:56] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:41:56] Reset parameters according to He et al.
[2021-03-21 14:41:56] mlp: initialized 17412 parameters.
[2021-03-21 14:41:56] Creating trainer with model on device: cuda
[2021-03-21 14:41:56] Training mlp across 80 data points in quadrant...
[2021-03-21 14:42:01] Training accuracy: 0.8504
[2021-03-21 14:42:01] Testing on 1000 data points...
[2021-03-21 14:42:01] Test score for 80 training labels: 0.9860
[2021-03-21 14:42:01] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:42:01] Found 1000 unlabelled features.
[2021-03-21 14:42:01] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:42:01] Searching for coresets with 1 beams...
[2021-03-21 14:42:01] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-21 14:42:01] Reset parameters according to He et al.
[2021-03-21 14:42:01] mlp: initialized 17412 parameters.
[2021-03-21 14:42:01] Creating trainer with model on device: cuda
[2021-03-21 14:42:01] Training mlp across 100 data points in quadrant...
[2021-03-21 14:42:06] Training accuracy: 0.8006
[2021-03-21 14:42:06] Testing on 1000 data points...
[2021-03-21 14:42:06] Test score for 100 training labels: 0.9900
[2021-03-21 14:42:06] Experiment repeat 3/3
[2021-03-21 14:42:06] Seeded: 7
[2021-03-21 14:42:06] Using 2.00% labels of the dataset (20/1000)
[2021-03-21 14:42:06] Randomly labelled 20/1000
[2021-03-21 14:42:06] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:42:06] Seeded: 8
[2021-03-21 14:42:06] Running: experiment 0
[2021-03-21 14:42:06] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:42:06] Reset parameters according to He et al.
[2021-03-21 14:42:06] mlp: initialized 17412 parameters.
[2021-03-21 14:42:06] Creating trainer with model on device: cuda
[2021-03-21 14:42:06] Training mlp across 20 data points in quadrant...
[2021-03-21 14:42:07] Training accuracy: 0.8746
[2021-03-21 14:42:07] Testing on 1000 data points...
[2021-03-21 14:42:07] Test score for 20 training labels: 0.8690
[2021-03-21 14:42:07] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:42:07] Found 1000 unlabelled features.
[2021-03-21 14:42:07] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:42:07] Reset parameters according to He et al.
[2021-03-21 14:42:07] mlp: initialized 17412 parameters.
[2021-03-21 14:42:07] Creating trainer with model on device: cuda
[2021-03-21 14:42:07] Training mlp across 40 data points in quadrant...
[2021-03-21 14:42:10] Training accuracy: 0.9174
[2021-03-21 14:42:10] Testing on 1000 data points...
[2021-03-21 14:42:10] Test score for 40 training labels: 0.9430
[2021-03-21 14:42:10] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:42:10] Found 1000 unlabelled features.
[2021-03-21 14:42:10] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:42:10] Reset parameters according to He et al.
[2021-03-21 14:42:10] mlp: initialized 17412 parameters.
[2021-03-21 14:42:10] Creating trainer with model on device: cuda
[2021-03-21 14:42:10] Training mlp across 60 data points in quadrant...
[2021-03-21 14:42:13] Training accuracy: 0.9589
[2021-03-21 14:42:13] Testing on 1000 data points...
[2021-03-21 14:42:13] Test score for 60 training labels: 0.9480
[2021-03-21 14:42:13] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:42:13] Found 1000 unlabelled features.
[2021-03-21 14:42:13] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:42:13] Reset parameters according to He et al.
[2021-03-21 14:42:13] mlp: initialized 17412 parameters.
[2021-03-21 14:42:13] Creating trainer with model on device: cuda
[2021-03-21 14:42:13] Training mlp across 80 data points in quadrant...
[2021-03-21 14:42:18] Training accuracy: 0.9730
[2021-03-21 14:42:18] Testing on 1000 data points...
[2021-03-21 14:42:18] Test score for 80 training labels: 0.9610
[2021-03-21 14:42:18] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:42:18] Found 1000 unlabelled features.
[2021-03-21 14:42:18] Showing labelled: True (99/1000 visible, 1 redundant)
[2021-03-21 14:42:18] Reset parameters according to He et al.
[2021-03-21 14:42:18] mlp: initialized 17412 parameters.
[2021-03-21 14:42:18] Creating trainer with model on device: cuda
[2021-03-21 14:42:18] Training mlp across 100 data points in quadrant...
[2021-03-21 14:42:23] Training accuracy: 0.9513
[2021-03-21 14:42:23] Testing on 1000 data points...
[2021-03-21 14:42:23] Test score for 100 training labels: 0.9610
[2021-03-21 14:42:23] Seeded: 8
[2021-03-21 14:42:23] Running: experiment 1
[2021-03-21 14:42:23] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:42:23] Reset parameters according to He et al.
[2021-03-21 14:42:23] mlp: initialized 17412 parameters.
[2021-03-21 14:42:23] Creating trainer with model on device: cuda
[2021-03-21 14:42:23] Training mlp across 20 data points in quadrant...
[2021-03-21 14:42:25] Training accuracy: 0.8746
[2021-03-21 14:42:25] Testing on 1000 data points...
[2021-03-21 14:42:25] Test score for 20 training labels: 0.8690
[2021-03-21 14:42:25] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:42:25] Found 1000 unlabelled features.
[2021-03-21 14:42:25] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:42:25] Searching for coresets greedily...
[2021-03-21 14:42:25] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:42:25] Reset parameters according to He et al.
[2021-03-21 14:42:25] mlp: initialized 17412 parameters.
[2021-03-21 14:42:25] Creating trainer with model on device: cuda
[2021-03-21 14:42:25] Training mlp across 40 data points in quadrant...
[2021-03-21 14:42:27] Training accuracy: 0.9053
[2021-03-21 14:42:27] Testing on 1000 data points...
[2021-03-21 14:42:27] Test score for 40 training labels: 0.9590
[2021-03-21 14:42:27] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:42:27] Found 1000 unlabelled features.
[2021-03-21 14:42:27] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:42:27] Searching for coresets greedily...
[2021-03-21 14:42:27] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:42:27] Reset parameters according to He et al.
[2021-03-21 14:42:27] mlp: initialized 17412 parameters.
[2021-03-21 14:42:27] Creating trainer with model on device: cuda
[2021-03-21 14:42:27] Training mlp across 60 data points in quadrant...
[2021-03-21 14:42:30] Training accuracy: 0.9039
[2021-03-21 14:42:30] Testing on 1000 data points...
[2021-03-21 14:42:30] Test score for 60 training labels: 0.9760
[2021-03-21 14:42:30] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:42:30] Found 1000 unlabelled features.
[2021-03-21 14:42:30] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:42:30] Searching for coresets greedily...
[2021-03-21 14:42:30] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:42:30] Reset parameters according to He et al.
[2021-03-21 14:42:30] mlp: initialized 17412 parameters.
[2021-03-21 14:42:30] Creating trainer with model on device: cuda
[2021-03-21 14:42:30] Training mlp across 80 data points in quadrant...
[2021-03-21 14:42:35] Training accuracy: 0.9340
[2021-03-21 14:42:35] Testing on 1000 data points...
[2021-03-21 14:42:35] Test score for 80 training labels: 0.9860
[2021-03-21 14:42:35] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:42:35] Found 1000 unlabelled features.
[2021-03-21 14:42:35] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:42:35] Searching for coresets greedily...
[2021-03-21 14:42:35] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-21 14:42:35] Reset parameters according to He et al.
[2021-03-21 14:42:35] mlp: initialized 17412 parameters.
[2021-03-21 14:42:35] Creating trainer with model on device: cuda
[2021-03-21 14:42:35] Training mlp across 100 data points in quadrant...
[2021-03-21 14:42:41] Training accuracy: 0.9135
[2021-03-21 14:42:41] Testing on 1000 data points...
[2021-03-21 14:42:41] Test score for 100 training labels: 0.9870
[2021-03-21 14:42:41] Seeded: 8
[2021-03-21 14:42:41] Running: experiment 2
[2021-03-21 14:42:41] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:42:41] Reset parameters according to He et al.
[2021-03-21 14:42:41] mlp: initialized 17412 parameters.
[2021-03-21 14:42:41] Creating trainer with model on device: cuda
[2021-03-21 14:42:41] Training mlp across 20 data points in quadrant...
[2021-03-21 14:42:42] Training accuracy: 0.8746
[2021-03-21 14:42:42] Testing on 1000 data points...
[2021-03-21 14:42:42] Test score for 20 training labels: 0.8690
[2021-03-21 14:42:42] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:42:42] Found 1000 unlabelled features.
[2021-03-21 14:42:42] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:42:42] Reset parameters according to He et al.
[2021-03-21 14:42:42] mlp: initialized 17412 parameters.
[2021-03-21 14:42:42] Creating trainer with model on device: cuda
[2021-03-21 14:42:42] Training mlp across 40 data points in quadrant...
[2021-03-21 14:42:44] Training accuracy: 0.8866
[2021-03-21 14:42:44] Testing on 1000 data points...
[2021-03-21 14:42:44] Test score for 40 training labels: 0.9580
[2021-03-21 14:42:44] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:42:44] Found 1000 unlabelled features.
[2021-03-21 14:42:44] Showing labelled: True (54/1000 visible, 6 redundant)
[2021-03-21 14:42:44] Reset parameters according to He et al.
[2021-03-21 14:42:44] mlp: initialized 17412 parameters.
[2021-03-21 14:42:44] Creating trainer with model on device: cuda
[2021-03-21 14:42:44] Training mlp across 60 data points in quadrant...
[2021-03-21 14:42:48] Training accuracy: 0.8541
[2021-03-21 14:42:48] Testing on 1000 data points...
[2021-03-21 14:42:48] Test score for 60 training labels: 0.9380
[2021-03-21 14:42:48] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:42:48] Found 1000 unlabelled features.
[2021-03-21 14:42:48] Showing labelled: True (68/1000 visible, 12 redundant)
[2021-03-21 14:42:48] Reset parameters according to He et al.
[2021-03-21 14:42:48] mlp: initialized 17412 parameters.
[2021-03-21 14:42:48] Creating trainer with model on device: cuda
[2021-03-21 14:42:48] Training mlp across 80 data points in quadrant...
[2021-03-21 14:42:53] Training accuracy: 0.8441
[2021-03-21 14:42:53] Testing on 1000 data points...
[2021-03-21 14:42:53] Test score for 80 training labels: 0.9580
[2021-03-21 14:42:53] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:42:53] Found 1000 unlabelled features.
[2021-03-21 14:42:53] Showing labelled: True (82/1000 visible, 18 redundant)
[2021-03-21 14:42:53] Reset parameters according to He et al.
[2021-03-21 14:42:53] mlp: initialized 17412 parameters.
[2021-03-21 14:42:53] Creating trainer with model on device: cuda
[2021-03-21 14:42:53] Training mlp across 100 data points in quadrant...
[2021-03-21 14:42:58] Training accuracy: 0.7951
[2021-03-21 14:42:58] Testing on 1000 data points...
[2021-03-21 14:42:58] Test score for 100 training labels: 0.9840
[2021-03-21 14:42:58] Seeded: 8
[2021-03-21 14:42:58] Running: experiment 3
[2021-03-21 14:42:58] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:42:58] Reset parameters according to He et al.
[2021-03-21 14:42:58] mlp: initialized 17412 parameters.
[2021-03-21 14:42:58] Creating trainer with model on device: cuda
[2021-03-21 14:42:58] Training mlp across 20 data points in quadrant...
[2021-03-21 14:42:59] Training accuracy: 0.8746
[2021-03-21 14:42:59] Testing on 1000 data points...
[2021-03-21 14:42:59] Test score for 20 training labels: 0.8690
[2021-03-21 14:42:59] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:42:59] Found 1000 unlabelled features.
[2021-03-21 14:42:59] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:42:59] Searching for coresets with 20 beams...
[2021-03-21 14:42:59] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:42:59] Reset parameters according to He et al.
[2021-03-21 14:42:59] mlp: initialized 17412 parameters.
[2021-03-21 14:42:59] Creating trainer with model on device: cuda
[2021-03-21 14:42:59] Training mlp across 40 data points in quadrant...
[2021-03-21 14:43:02] Training accuracy: 0.8988
[2021-03-21 14:43:02] Testing on 1000 data points...
[2021-03-21 14:43:02] Test score for 40 training labels: 0.9720
[2021-03-21 14:43:02] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:43:02] Found 1000 unlabelled features.
[2021-03-21 14:43:02] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:43:02] Searching for coresets with 20 beams...
[2021-03-21 14:43:02] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:43:02] Reset parameters according to He et al.
[2021-03-21 14:43:02] mlp: initialized 17412 parameters.
[2021-03-21 14:43:02] Creating trainer with model on device: cuda
[2021-03-21 14:43:02] Training mlp across 60 data points in quadrant...
[2021-03-21 14:43:05] Training accuracy: 0.9072
[2021-03-21 14:43:05] Testing on 1000 data points...
[2021-03-21 14:43:05] Test score for 60 training labels: 0.9750
[2021-03-21 14:43:05] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:43:05] Found 1000 unlabelled features.
[2021-03-21 14:43:05] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:43:05] Searching for coresets with 20 beams...
[2021-03-21 14:43:05] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:43:05] Reset parameters according to He et al.
[2021-03-21 14:43:05] mlp: initialized 17412 parameters.
[2021-03-21 14:43:05] Creating trainer with model on device: cuda
[2021-03-21 14:43:05] Training mlp across 80 data points in quadrant...
[2021-03-21 14:43:09] Training accuracy: 0.9040
[2021-03-21 14:43:09] Testing on 1000 data points...
[2021-03-21 14:43:10] Test score for 80 training labels: 0.9870
[2021-03-21 14:43:10] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:43:10] Found 1000 unlabelled features.
[2021-03-21 14:43:10] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:43:10] Searching for coresets with 20 beams...
[2021-03-21 14:43:10] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-21 14:43:10] Reset parameters according to He et al.
[2021-03-21 14:43:10] mlp: initialized 17412 parameters.
[2021-03-21 14:43:10] Creating trainer with model on device: cuda
[2021-03-21 14:43:10] Training mlp across 100 data points in quadrant...
[2021-03-21 14:43:15] Training accuracy: 0.8853
[2021-03-21 14:43:15] Testing on 1000 data points...
[2021-03-21 14:43:15] Test score for 100 training labels: 0.9760
[2021-03-21 14:43:15] Seeded: 8
[2021-03-21 14:43:15] Running: experiment 4
[2021-03-21 14:43:15] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:43:15] Reset parameters according to He et al.
[2021-03-21 14:43:15] mlp: initialized 17412 parameters.
[2021-03-21 14:43:15] Creating trainer with model on device: cuda
[2021-03-21 14:43:15] Training mlp across 20 data points in quadrant...
[2021-03-21 14:43:16] Training accuracy: 0.8746
[2021-03-21 14:43:16] Testing on 1000 data points...
[2021-03-21 14:43:16] Test score for 20 training labels: 0.8690
[2021-03-21 14:43:16] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:43:16] Found 1000 unlabelled features.
[2021-03-21 14:43:16] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:43:16] Searching for coresets with 20 beams...
[2021-03-21 14:43:16] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:43:16] Reset parameters according to He et al.
[2021-03-21 14:43:16] mlp: initialized 17412 parameters.
[2021-03-21 14:43:16] Creating trainer with model on device: cuda
[2021-03-21 14:43:16] Training mlp across 40 data points in quadrant...
[2021-03-21 14:43:18] Training accuracy: 0.8785
[2021-03-21 14:43:18] Testing on 1000 data points...
[2021-03-21 14:43:18] Test score for 40 training labels: 0.9750
[2021-03-21 14:43:18] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:43:18] Found 1000 unlabelled features.
[2021-03-21 14:43:18] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:43:18] Searching for coresets with 20 beams...
[2021-03-21 14:43:18] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:43:18] Reset parameters according to He et al.
[2021-03-21 14:43:18] mlp: initialized 17412 parameters.
[2021-03-21 14:43:18] Creating trainer with model on device: cuda
[2021-03-21 14:43:18] Training mlp across 60 data points in quadrant...
[2021-03-21 14:43:22] Training accuracy: 0.7854
[2021-03-21 14:43:22] Testing on 1000 data points...
[2021-03-21 14:43:22] Test score for 60 training labels: 0.9500
[2021-03-21 14:43:22] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:43:22] Found 1000 unlabelled features.
[2021-03-21 14:43:22] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:43:22] Searching for coresets with 20 beams...
[2021-03-21 14:43:22] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:43:22] Reset parameters according to He et al.
[2021-03-21 14:43:22] mlp: initialized 17412 parameters.
[2021-03-21 14:43:22] Creating trainer with model on device: cuda
[2021-03-21 14:43:22] Training mlp across 80 data points in quadrant...
[2021-03-21 14:43:27] Training accuracy: 0.8681
[2021-03-21 14:43:27] Testing on 1000 data points...
[2021-03-21 14:43:27] Test score for 80 training labels: 0.9730
[2021-03-21 14:43:27] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:43:27] Found 1000 unlabelled features.
[2021-03-21 14:43:27] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:43:27] Searching for coresets with 20 beams...
[2021-03-21 14:43:27] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-21 14:43:27] Reset parameters according to He et al.
[2021-03-21 14:43:27] mlp: initialized 17412 parameters.
[2021-03-21 14:43:27] Creating trainer with model on device: cuda
[2021-03-21 14:43:27] Training mlp across 100 data points in quadrant...
[2021-03-21 14:43:33] Training accuracy: 0.8182
[2021-03-21 14:43:33] Testing on 1000 data points...
[2021-03-21 14:43:33] Test score for 100 training labels: 0.9830
[2021-03-21 14:43:33] Seeded: 8
[2021-03-21 14:43:33] Running: experiment 5
[2021-03-21 14:43:33] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:43:33] Reset parameters according to He et al.
[2021-03-21 14:43:33] mlp: initialized 17412 parameters.
[2021-03-21 14:43:33] Creating trainer with model on device: cuda
[2021-03-21 14:43:33] Training mlp across 20 data points in quadrant...
[2021-03-21 14:43:34] Training accuracy: 0.8746
[2021-03-21 14:43:34] Testing on 1000 data points...
[2021-03-21 14:43:34] Test score for 20 training labels: 0.8690
[2021-03-21 14:43:34] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:43:34] Found 1000 unlabelled features.
[2021-03-21 14:43:34] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:43:34] Searching for coresets with 20 beams...
[2021-03-21 14:43:34] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:43:34] Reset parameters according to He et al.
[2021-03-21 14:43:34] mlp: initialized 17412 parameters.
[2021-03-21 14:43:34] Creating trainer with model on device: cuda
[2021-03-21 14:43:34] Training mlp across 40 data points in quadrant...
[2021-03-21 14:43:36] Training accuracy: 0.8803
[2021-03-21 14:43:36] Testing on 1000 data points...
[2021-03-21 14:43:36] Test score for 40 training labels: 0.9710
[2021-03-21 14:43:36] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:43:36] Found 1000 unlabelled features.
[2021-03-21 14:43:36] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:43:36] Searching for coresets with 20 beams...
[2021-03-21 14:43:36] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:43:36] Reset parameters according to He et al.
[2021-03-21 14:43:36] mlp: initialized 17412 parameters.
[2021-03-21 14:43:36] Creating trainer with model on device: cuda
[2021-03-21 14:43:36] Training mlp across 60 data points in quadrant...
[2021-03-21 14:43:40] Training accuracy: 0.8056
[2021-03-21 14:43:40] Testing on 1000 data points...
[2021-03-21 14:43:40] Test score for 60 training labels: 0.9790
[2021-03-21 14:43:40] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:43:40] Found 1000 unlabelled features.
[2021-03-21 14:43:40] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:43:40] Searching for coresets with 20 beams...
[2021-03-21 14:43:40] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:43:40] Reset parameters according to He et al.
[2021-03-21 14:43:40] mlp: initialized 17412 parameters.
[2021-03-21 14:43:40] Creating trainer with model on device: cuda
[2021-03-21 14:43:40] Training mlp across 80 data points in quadrant...
[2021-03-21 14:43:45] Training accuracy: 0.8214
[2021-03-21 14:43:45] Testing on 1000 data points...
[2021-03-21 14:43:45] Test score for 80 training labels: 0.9820
[2021-03-21 14:43:45] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:43:45] Found 1000 unlabelled features.
[2021-03-21 14:43:45] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:43:45] Searching for coresets with 20 beams...
[2021-03-21 14:43:45] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-21 14:43:45] Reset parameters according to He et al.
[2021-03-21 14:43:45] mlp: initialized 17412 parameters.
[2021-03-21 14:43:45] Creating trainer with model on device: cuda
[2021-03-21 14:43:45] Training mlp across 100 data points in quadrant...
[2021-03-21 14:43:50] Training accuracy: 0.8037
[2021-03-21 14:43:50] Testing on 1000 data points...
[2021-03-21 14:43:50] Test score for 100 training labels: 0.9890
[2021-03-21 14:43:50] Seeded: 8
[2021-03-21 14:43:50] Running: experiment 6
[2021-03-21 14:43:50] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:43:50] Reset parameters according to He et al.
[2021-03-21 14:43:50] mlp: initialized 17412 parameters.
[2021-03-21 14:43:50] Creating trainer with model on device: cuda
[2021-03-21 14:43:50] Training mlp across 20 data points in quadrant...
[2021-03-21 14:43:52] Training accuracy: 0.8746
[2021-03-21 14:43:52] Testing on 1000 data points...
[2021-03-21 14:43:52] Test score for 20 training labels: 0.8690
[2021-03-21 14:43:52] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:43:52] Found 1000 unlabelled features.
[2021-03-21 14:43:52] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:43:52] Searching for coresets with 20 beams...
[2021-03-21 14:43:52] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:43:52] Reset parameters according to He et al.
[2021-03-21 14:43:52] mlp: initialized 17412 parameters.
[2021-03-21 14:43:52] Creating trainer with model on device: cuda
[2021-03-21 14:43:52] Training mlp across 40 data points in quadrant...
[2021-03-21 14:43:54] Training accuracy: 0.8307
[2021-03-21 14:43:54] Testing on 1000 data points...
[2021-03-21 14:43:54] Test score for 40 training labels: 0.9490
[2021-03-21 14:43:54] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:43:54] Found 1000 unlabelled features.
[2021-03-21 14:43:54] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:43:54] Searching for coresets with 20 beams...
[2021-03-21 14:43:54] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:43:54] Reset parameters according to He et al.
[2021-03-21 14:43:54] mlp: initialized 17412 parameters.
[2021-03-21 14:43:54] Creating trainer with model on device: cuda
[2021-03-21 14:43:54] Training mlp across 60 data points in quadrant...
[2021-03-21 14:43:57] Training accuracy: 0.7803
[2021-03-21 14:43:57] Testing on 1000 data points...
[2021-03-21 14:43:57] Test score for 60 training labels: 0.9730
[2021-03-21 14:43:57] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:43:57] Found 1000 unlabelled features.
[2021-03-21 14:43:57] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:43:57] Searching for coresets with 20 beams...
[2021-03-21 14:43:57] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:43:57] Reset parameters according to He et al.
[2021-03-21 14:43:57] mlp: initialized 17412 parameters.
[2021-03-21 14:43:57] Creating trainer with model on device: cuda
[2021-03-21 14:43:57] Training mlp across 80 data points in quadrant...
[2021-03-21 14:44:02] Training accuracy: 0.8289
[2021-03-21 14:44:02] Testing on 1000 data points...
[2021-03-21 14:44:02] Test score for 80 training labels: 0.9680
[2021-03-21 14:44:02] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:44:02] Found 1000 unlabelled features.
[2021-03-21 14:44:02] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:44:02] Searching for coresets with 20 beams...
[2021-03-21 14:44:02] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-21 14:44:02] Reset parameters according to He et al.
[2021-03-21 14:44:02] mlp: initialized 17412 parameters.
[2021-03-21 14:44:02] Creating trainer with model on device: cuda
[2021-03-21 14:44:02] Training mlp across 100 data points in quadrant...
[2021-03-21 14:44:07] Training accuracy: 0.8319
[2021-03-21 14:44:07] Testing on 1000 data points...
[2021-03-21 14:44:07] Test score for 100 training labels: 0.9820
[2021-03-21 14:44:07] Seeded: 8
[2021-03-21 14:44:07] Running: experiment 7
[2021-03-21 14:44:07] Showing labelled: True (20/1000 visible, 0 redundant)
[2021-03-21 14:44:07] Reset parameters according to He et al.
[2021-03-21 14:44:07] mlp: initialized 17412 parameters.
[2021-03-21 14:44:07] Creating trainer with model on device: cuda
[2021-03-21 14:44:07] Training mlp across 20 data points in quadrant...
[2021-03-21 14:44:08] Training accuracy: 0.8746
[2021-03-21 14:44:08] Testing on 1000 data points...
[2021-03-21 14:44:08] Test score for 20 training labels: 0.8690
[2021-03-21 14:44:08] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:44:08] Found 1000 unlabelled features.
[2021-03-21 14:44:08] Computing distance between 20 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:44:08] Searching for coresets with 1 beams...
[2021-03-21 14:44:08] Showing labelled: True (40/1000 visible, 0 redundant)
[2021-03-21 14:44:08] Reset parameters according to He et al.
[2021-03-21 14:44:08] mlp: initialized 17412 parameters.
[2021-03-21 14:44:08] Creating trainer with model on device: cuda
[2021-03-21 14:44:08] Training mlp across 40 data points in quadrant...
[2021-03-21 14:44:10] Training accuracy: 0.8803
[2021-03-21 14:44:10] Testing on 1000 data points...
[2021-03-21 14:44:10] Test score for 40 training labels: 0.9710
[2021-03-21 14:44:10] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:44:10] Found 1000 unlabelled features.
[2021-03-21 14:44:10] Computing distance between 40 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:44:10] Searching for coresets with 1 beams...
[2021-03-21 14:44:10] Showing labelled: True (60/1000 visible, 0 redundant)
[2021-03-21 14:44:10] Reset parameters according to He et al.
[2021-03-21 14:44:10] mlp: initialized 17412 parameters.
[2021-03-21 14:44:10] Creating trainer with model on device: cuda
[2021-03-21 14:44:10] Training mlp across 60 data points in quadrant...
[2021-03-21 14:44:14] Training accuracy: 0.8056
[2021-03-21 14:44:14] Testing on 1000 data points...
[2021-03-21 14:44:14] Test score for 60 training labels: 0.9790
[2021-03-21 14:44:14] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:44:14] Found 1000 unlabelled features.
[2021-03-21 14:44:14] Computing distance between 60 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:44:14] Searching for coresets with 1 beams...
[2021-03-21 14:44:14] Showing labelled: True (80/1000 visible, 0 redundant)
[2021-03-21 14:44:14] Reset parameters according to He et al.
[2021-03-21 14:44:14] mlp: initialized 17412 parameters.
[2021-03-21 14:44:14] Creating trainer with model on device: cuda
[2021-03-21 14:44:14] Training mlp across 80 data points in quadrant...
[2021-03-21 14:44:18] Training accuracy: 0.8214
[2021-03-21 14:44:18] Testing on 1000 data points...
[2021-03-21 14:44:18] Test score for 80 training labels: 0.9820
[2021-03-21 14:44:18] Showing labelled: False (1000/1000 visible, 0 redundant)
[2021-03-21 14:44:18] Found 1000 unlabelled features.
[2021-03-21 14:44:18] Computing distance between 80 labelled and 1000 unlabelled vectors of length 128...
[2021-03-21 14:44:18] Searching for coresets with 1 beams...
[2021-03-21 14:44:18] Showing labelled: True (100/1000 visible, 0 redundant)
[2021-03-21 14:44:18] Reset parameters according to He et al.
[2021-03-21 14:44:18] mlp: initialized 17412 parameters.
[2021-03-21 14:44:18] Creating trainer with model on device: cuda
[2021-03-21 14:44:18] Training mlp across 100 data points in quadrant...
[2021-03-21 14:44:24] Training accuracy: 0.8037
[2021-03-21 14:44:24] Testing on 1000 data points...
[2021-03-21 14:44:24] Test score for 100 training labels: 0.9890
[2021-03-21 14:44:24] Updated results: ../results/quadrant/mlp/results.json
