[2021-03-20 01:37:24] Created experiment 0:
[2021-03-20 01:37:24]  - Model: mlp
[2021-03-20 01:37:24]  - Acquisition function: random
[2021-03-20 01:37:24] Created experiment 1:
[2021-03-20 01:37:24]  - Model: mlp
[2021-03-20 01:37:24]  - Acquisition function: lc-beam-coreset
[2021-03-20 01:37:24] Created experiment 2:
[2021-03-20 01:37:24]  - Model: mlp
[2021-03-20 01:37:24]  - Acquisition function: greedy-coreset
[2021-03-20 01:37:24] Loading quadrant-large test set...
[2021-03-20 01:37:24] Saved figure to: ../data/quadrant-large_data.png
[2021-03-20 01:37:24] Saved figure to: ../data/quadrant-large_test.png
[2021-03-20 01:37:24] Experiment repeat 1/2
[2021-03-20 01:37:24] Seeded: 5
[2021-03-20 01:37:24] Using 0.20% labels of the dataset (20/10000)
[2021-03-20 01:37:24] Randomly labelled 20/10000
[2021-03-20 01:37:24] Showing labelled: True (20/10000 visible, 0 redundant)
[2021-03-20 01:37:24] Seeded: 6
[2021-03-20 01:37:24] Running: experiment 0
[2021-03-20 01:37:24] Showing labelled: True (20/10000 visible, 0 redundant)
[2021-03-20 01:37:24] Reset parameters according to He et al.
[2021-03-20 01:37:24] mlp: initialized 17412 parameters.
[2021-03-20 01:37:24] Creating trainer with model on device: cuda
[2021-03-20 01:37:29] Training mlp across 20 data points in quadrant-large...
[2021-03-20 01:37:30] Training accuracy: 0.9906
[2021-03-20 01:37:30] Testing on 10000 data points...
[2021-03-20 01:37:30] Test score for 20 training labels: 0.8849
[2021-03-20 01:37:30] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:37:30] Found 10000 unlabelled features.
[2021-03-20 01:37:30] Showing labelled: True (40/10000 visible, 0 redundant)
[2021-03-20 01:37:30] Reset parameters according to He et al.
[2021-03-20 01:37:30] mlp: initialized 17412 parameters.
[2021-03-20 01:37:30] Creating trainer with model on device: cuda
[2021-03-20 01:37:30] Training mlp across 40 data points in quadrant-large...
[2021-03-20 01:37:33] Training accuracy: 0.9680
[2021-03-20 01:37:33] Testing on 10000 data points...
[2021-03-20 01:37:33] Test score for 40 training labels: 0.9538
[2021-03-20 01:37:33] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:37:33] Found 10000 unlabelled features.
[2021-03-20 01:37:33] Showing labelled: True (59/10000 visible, 1 redundant)
[2021-03-20 01:37:33] Reset parameters according to He et al.
[2021-03-20 01:37:33] mlp: initialized 17412 parameters.
[2021-03-20 01:37:33] Creating trainer with model on device: cuda
[2021-03-20 01:37:33] Training mlp across 60 data points in quadrant-large...
[2021-03-20 01:37:36] Training accuracy: 0.9888
[2021-03-20 01:37:36] Testing on 10000 data points...
[2021-03-20 01:37:36] Test score for 60 training labels: 0.9509
[2021-03-20 01:37:37] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:37:37] Found 10000 unlabelled features.
[2021-03-20 01:37:37] Showing labelled: True (78/10000 visible, 2 redundant)
[2021-03-20 01:37:37] Reset parameters according to He et al.
[2021-03-20 01:37:37] mlp: initialized 17412 parameters.
[2021-03-20 01:37:37] Creating trainer with model on device: cuda
[2021-03-20 01:37:37] Training mlp across 80 data points in quadrant-large...
[2021-03-20 01:37:41] Training accuracy: 0.9676
[2021-03-20 01:37:41] Testing on 10000 data points...
[2021-03-20 01:37:41] Test score for 80 training labels: 0.9672
[2021-03-20 01:37:41] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:37:41] Found 10000 unlabelled features.
[2021-03-20 01:37:41] Showing labelled: True (97/10000 visible, 3 redundant)
[2021-03-20 01:37:41] Reset parameters according to He et al.
[2021-03-20 01:37:41] mlp: initialized 17412 parameters.
[2021-03-20 01:37:41] Creating trainer with model on device: cuda
[2021-03-20 01:37:41] Training mlp across 100 data points in quadrant-large...
[2021-03-20 01:37:46] Training accuracy: 0.9568
[2021-03-20 01:37:46] Testing on 10000 data points...
[2021-03-20 01:37:47] Test score for 100 training labels: 0.9731
[2021-03-20 01:37:47] Seeded: 6
[2021-03-20 01:37:47] Running: experiment 1
[2021-03-20 01:37:47] Showing labelled: True (20/10000 visible, 0 redundant)
[2021-03-20 01:37:47] Reset parameters according to He et al.
[2021-03-20 01:37:47] mlp: initialized 17412 parameters.
[2021-03-20 01:37:47] Creating trainer with model on device: cuda
[2021-03-20 01:37:47] Training mlp across 20 data points in quadrant-large...
[2021-03-20 01:37:48] Training accuracy: 0.9906
[2021-03-20 01:37:48] Testing on 10000 data points...
[2021-03-20 01:37:48] Test score for 20 training labels: 0.8849
[2021-03-20 01:37:48] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:37:48] Found 10000 unlabelled features.
[2021-03-20 01:37:48] Computing distance between 20 labelled and 10000 unlabelled vectors of length 128...
[2021-03-20 01:37:48] Searching for coresets with 20 beams...
[2021-03-20 01:37:48] Showing labelled: True (40/10000 visible, 0 redundant)
[2021-03-20 01:37:48] Reset parameters according to He et al.
[2021-03-20 01:37:48] mlp: initialized 17412 parameters.
[2021-03-20 01:37:48] Creating trainer with model on device: cuda
[2021-03-20 01:37:48] Training mlp across 40 data points in quadrant-large...
[2021-03-20 01:37:50] Training accuracy: 0.9646
[2021-03-20 01:37:50] Testing on 10000 data points...
[2021-03-20 01:37:50] Test score for 40 training labels: 0.9557
[2021-03-20 01:37:50] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:37:50] Found 10000 unlabelled features.
[2021-03-20 01:37:50] Computing distance between 40 labelled and 10000 unlabelled vectors of length 128...
[2021-03-20 01:37:50] Searching for coresets with 20 beams...
[2021-03-20 01:37:51] Showing labelled: True (60/10000 visible, 0 redundant)
[2021-03-20 01:37:51] Reset parameters according to He et al.
[2021-03-20 01:37:51] mlp: initialized 17412 parameters.
[2021-03-20 01:37:51] Creating trainer with model on device: cuda
[2021-03-20 01:37:51] Training mlp across 60 data points in quadrant-large...
[2021-03-20 01:37:54] Training accuracy: 0.9513
[2021-03-20 01:37:54] Testing on 10000 data points...
[2021-03-20 01:37:54] Test score for 60 training labels: 0.9703
[2021-03-20 01:37:54] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:37:54] Found 10000 unlabelled features.
[2021-03-20 01:37:54] Computing distance between 60 labelled and 10000 unlabelled vectors of length 128...
[2021-03-20 01:37:54] Searching for coresets with 20 beams...
[2021-03-20 01:37:54] Showing labelled: True (80/10000 visible, 0 redundant)
[2021-03-20 01:37:54] Reset parameters according to He et al.
[2021-03-20 01:37:54] mlp: initialized 17412 parameters.
[2021-03-20 01:37:54] Creating trainer with model on device: cuda
[2021-03-20 01:37:54] Training mlp across 80 data points in quadrant-large...
[2021-03-20 01:37:59] Training accuracy: 0.9412
[2021-03-20 01:37:59] Testing on 10000 data points...
[2021-03-20 01:37:59] Test score for 80 training labels: 0.9785
[2021-03-20 01:37:59] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:37:59] Found 10000 unlabelled features.
[2021-03-20 01:37:59] Computing distance between 80 labelled and 10000 unlabelled vectors of length 128...
[2021-03-20 01:37:59] Searching for coresets with 20 beams...
[2021-03-20 01:37:59] Showing labelled: True (100/10000 visible, 0 redundant)
[2021-03-20 01:37:59] Reset parameters according to He et al.
[2021-03-20 01:37:59] mlp: initialized 17412 parameters.
[2021-03-20 01:37:59] Creating trainer with model on device: cuda
[2021-03-20 01:37:59] Training mlp across 100 data points in quadrant-large...
[2021-03-20 01:38:04] Training accuracy: 0.9500
[2021-03-20 01:38:04] Testing on 10000 data points...
[2021-03-20 01:38:04] Test score for 100 training labels: 0.9832
[2021-03-20 01:38:04] Seeded: 6
[2021-03-20 01:38:04] Running: experiment 2
[2021-03-20 01:38:04] Showing labelled: True (20/10000 visible, 0 redundant)
[2021-03-20 01:38:04] Reset parameters according to He et al.
[2021-03-20 01:38:04] mlp: initialized 17412 parameters.
[2021-03-20 01:38:04] Creating trainer with model on device: cuda
[2021-03-20 01:38:04] Training mlp across 20 data points in quadrant-large...
[2021-03-20 01:38:06] Training accuracy: 0.9906
[2021-03-20 01:38:06] Testing on 10000 data points...
[2021-03-20 01:38:06] Test score for 20 training labels: 0.8849
[2021-03-20 01:38:06] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:38:06] Found 10000 unlabelled features.
[2021-03-20 01:38:06] Computing distance between 20 labelled and 10000 unlabelled vectors of length 128...
[2021-03-20 01:38:06] Searching for coresets greedily...
[2021-03-20 01:38:06] Showing labelled: True (40/10000 visible, 0 redundant)
[2021-03-20 01:38:06] Reset parameters according to He et al.
[2021-03-20 01:38:06] mlp: initialized 17412 parameters.
[2021-03-20 01:38:06] Creating trainer with model on device: cuda
[2021-03-20 01:38:06] Training mlp across 40 data points in quadrant-large...
[2021-03-20 01:38:08] Training accuracy: 0.9271
[2021-03-20 01:38:08] Testing on 10000 data points...
[2021-03-20 01:38:08] Test score for 40 training labels: 0.9480
[2021-03-20 01:38:08] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:38:08] Found 10000 unlabelled features.
[2021-03-20 01:38:08] Computing distance between 40 labelled and 10000 unlabelled vectors of length 128...
[2021-03-20 01:38:08] Searching for coresets greedily...
[2021-03-20 01:38:08] Showing labelled: True (60/10000 visible, 0 redundant)
[2021-03-20 01:38:08] Reset parameters according to He et al.
[2021-03-20 01:38:08] mlp: initialized 17412 parameters.
[2021-03-20 01:38:08] Creating trainer with model on device: cuda
[2021-03-20 01:38:08] Training mlp across 60 data points in quadrant-large...
[2021-03-20 01:38:11] Training accuracy: 0.9589
[2021-03-20 01:38:11] Testing on 10000 data points...
[2021-03-20 01:38:12] Test score for 60 training labels: 0.9760
[2021-03-20 01:38:12] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:38:12] Found 10000 unlabelled features.
[2021-03-20 01:38:12] Computing distance between 60 labelled and 10000 unlabelled vectors of length 128...
[2021-03-20 01:38:12] Searching for coresets greedily...
[2021-03-20 01:38:12] Showing labelled: True (80/10000 visible, 0 redundant)
[2021-03-20 01:38:12] Reset parameters according to He et al.
[2021-03-20 01:38:12] mlp: initialized 17412 parameters.
[2021-03-20 01:38:12] Creating trainer with model on device: cuda
[2021-03-20 01:38:12] Training mlp across 80 data points in quadrant-large...
[2021-03-20 01:38:16] Training accuracy: 0.9657
[2021-03-20 01:38:16] Testing on 10000 data points...
[2021-03-20 01:38:16] Test score for 80 training labels: 0.9767
[2021-03-20 01:38:16] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:38:16] Found 10000 unlabelled features.
[2021-03-20 01:38:16] Computing distance between 80 labelled and 10000 unlabelled vectors of length 128...
[2021-03-20 01:38:16] Searching for coresets greedily...
[2021-03-20 01:38:16] Showing labelled: True (100/10000 visible, 0 redundant)
[2021-03-20 01:38:16] Reset parameters according to He et al.
[2021-03-20 01:38:16] mlp: initialized 17412 parameters.
[2021-03-20 01:38:16] Creating trainer with model on device: cuda
[2021-03-20 01:38:16] Training mlp across 100 data points in quadrant-large...
[2021-03-20 01:38:22] Training accuracy: 0.9230
[2021-03-20 01:38:22] Testing on 10000 data points...
[2021-03-20 01:38:22] Test score for 100 training labels: 0.9764
[2021-03-20 01:38:22] Experiment repeat 2/2
[2021-03-20 01:38:22] Seeded: 6
[2021-03-20 01:38:22] Using 0.20% labels of the dataset (20/10000)
[2021-03-20 01:38:22] Randomly labelled 20/10000
[2021-03-20 01:38:22] Showing labelled: True (20/10000 visible, 0 redundant)
[2021-03-20 01:38:22] Seeded: 7
[2021-03-20 01:38:22] Running: experiment 0
[2021-03-20 01:38:22] Showing labelled: True (20/10000 visible, 0 redundant)
[2021-03-20 01:38:22] Reset parameters according to He et al.
[2021-03-20 01:38:22] mlp: initialized 17412 parameters.
[2021-03-20 01:38:22] Creating trainer with model on device: cuda
[2021-03-20 01:38:22] Training mlp across 20 data points in quadrant-large...
[2021-03-20 01:38:23] Training accuracy: 0.9901
[2021-03-20 01:38:23] Testing on 10000 data points...
[2021-03-20 01:38:23] Test score for 20 training labels: 0.9435
[2021-03-20 01:38:23] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:38:23] Found 10000 unlabelled features.
[2021-03-20 01:38:23] Showing labelled: True (40/10000 visible, 0 redundant)
[2021-03-20 01:38:23] Reset parameters according to He et al.
[2021-03-20 01:38:23] mlp: initialized 17412 parameters.
[2021-03-20 01:38:23] Creating trainer with model on device: cuda
[2021-03-20 01:38:23] Training mlp across 40 data points in quadrant-large...
[2021-03-20 01:38:25] Training accuracy: 0.9848
[2021-03-20 01:38:25] Testing on 10000 data points...
[2021-03-20 01:38:26] Test score for 40 training labels: 0.9739
[2021-03-20 01:38:26] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:38:26] Found 10000 unlabelled features.
[2021-03-20 01:38:26] Showing labelled: True (60/10000 visible, 0 redundant)
[2021-03-20 01:38:26] Reset parameters according to He et al.
[2021-03-20 01:38:26] mlp: initialized 17412 parameters.
[2021-03-20 01:38:26] Creating trainer with model on device: cuda
[2021-03-20 01:38:26] Training mlp across 60 data points in quadrant-large...
[2021-03-20 01:38:29] Training accuracy: 0.9708
[2021-03-20 01:38:29] Testing on 10000 data points...
[2021-03-20 01:38:29] Test score for 60 training labels: 0.9423
[2021-03-20 01:38:29] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:38:29] Found 10000 unlabelled features.
[2021-03-20 01:38:29] Showing labelled: True (80/10000 visible, 0 redundant)
[2021-03-20 01:38:29] Reset parameters according to He et al.
[2021-03-20 01:38:29] mlp: initialized 17412 parameters.
[2021-03-20 01:38:29] Creating trainer with model on device: cuda
[2021-03-20 01:38:29] Training mlp across 80 data points in quadrant-large...
[2021-03-20 01:38:34] Training accuracy: 0.9923
[2021-03-20 01:38:34] Testing on 10000 data points...
[2021-03-20 01:38:34] Test score for 80 training labels: 0.9608
[2021-03-20 01:38:34] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:38:34] Found 10000 unlabelled features.
[2021-03-20 01:38:34] Showing labelled: True (100/10000 visible, 0 redundant)
[2021-03-20 01:38:34] Reset parameters according to He et al.
[2021-03-20 01:38:34] mlp: initialized 17412 parameters.
[2021-03-20 01:38:34] Creating trainer with model on device: cuda
[2021-03-20 01:38:34] Training mlp across 100 data points in quadrant-large...
[2021-03-20 01:38:39] Training accuracy: 0.9634
[2021-03-20 01:38:39] Testing on 10000 data points...
[2021-03-20 01:38:39] Test score for 100 training labels: 0.9682
[2021-03-20 01:38:39] Seeded: 7
[2021-03-20 01:38:39] Running: experiment 1
[2021-03-20 01:38:39] Showing labelled: True (20/10000 visible, 0 redundant)
[2021-03-20 01:38:39] Reset parameters according to He et al.
[2021-03-20 01:38:39] mlp: initialized 17412 parameters.
[2021-03-20 01:38:39] Creating trainer with model on device: cuda
[2021-03-20 01:38:39] Training mlp across 20 data points in quadrant-large...
[2021-03-20 01:38:41] Training accuracy: 0.9901
[2021-03-20 01:38:41] Testing on 10000 data points...
[2021-03-20 01:38:41] Test score for 20 training labels: 0.9435
[2021-03-20 01:38:41] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:38:41] Found 10000 unlabelled features.
[2021-03-20 01:38:41] Computing distance between 20 labelled and 10000 unlabelled vectors of length 128...
[2021-03-20 01:38:41] Searching for coresets with 20 beams...
[2021-03-20 01:38:41] Showing labelled: True (40/10000 visible, 0 redundant)
[2021-03-20 01:38:41] Reset parameters according to He et al.
[2021-03-20 01:38:41] mlp: initialized 17412 parameters.
[2021-03-20 01:38:41] Creating trainer with model on device: cuda
[2021-03-20 01:38:41] Training mlp across 40 data points in quadrant-large...
[2021-03-20 01:38:43] Training accuracy: 0.9152
[2021-03-20 01:38:43] Testing on 10000 data points...
[2021-03-20 01:38:43] Test score for 40 training labels: 0.9599
[2021-03-20 01:38:43] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:38:43] Found 10000 unlabelled features.
[2021-03-20 01:38:43] Computing distance between 40 labelled and 10000 unlabelled vectors of length 128...
[2021-03-20 01:38:43] Searching for coresets with 20 beams...
[2021-03-20 01:38:44] Showing labelled: True (60/10000 visible, 0 redundant)
[2021-03-20 01:38:44] Reset parameters according to He et al.
[2021-03-20 01:38:44] mlp: initialized 17412 parameters.
[2021-03-20 01:38:44] Creating trainer with model on device: cuda
[2021-03-20 01:38:44] Training mlp across 60 data points in quadrant-large...
[2021-03-20 01:38:47] Training accuracy: 0.9032
[2021-03-20 01:38:47] Testing on 10000 data points...
[2021-03-20 01:38:47] Test score for 60 training labels: 0.9788
[2021-03-20 01:38:47] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:38:47] Found 10000 unlabelled features.
[2021-03-20 01:38:47] Computing distance between 60 labelled and 10000 unlabelled vectors of length 128...
[2021-03-20 01:38:47] Searching for coresets with 20 beams...
[2021-03-20 01:38:47] Showing labelled: True (80/10000 visible, 0 redundant)
[2021-03-20 01:38:47] Reset parameters according to He et al.
[2021-03-20 01:38:47] mlp: initialized 17412 parameters.
[2021-03-20 01:38:47] Creating trainer with model on device: cuda
[2021-03-20 01:38:47] Training mlp across 80 data points in quadrant-large...
[2021-03-20 01:38:51] Training accuracy: 0.9425
[2021-03-20 01:38:51] Testing on 10000 data points...
[2021-03-20 01:38:52] Test score for 80 training labels: 0.9844
[2021-03-20 01:38:52] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:38:52] Found 10000 unlabelled features.
[2021-03-20 01:38:52] Computing distance between 80 labelled and 10000 unlabelled vectors of length 128...
[2021-03-20 01:38:52] Searching for coresets with 20 beams...
[2021-03-20 01:38:52] Showing labelled: True (100/10000 visible, 0 redundant)
[2021-03-20 01:38:52] Reset parameters according to He et al.
[2021-03-20 01:38:52] mlp: initialized 17412 parameters.
[2021-03-20 01:38:52] Creating trainer with model on device: cuda
[2021-03-20 01:38:52] Training mlp across 100 data points in quadrant-large...
[2021-03-20 01:38:57] Training accuracy: 0.9486
[2021-03-20 01:38:57] Testing on 10000 data points...
[2021-03-20 01:38:57] Test score for 100 training labels: 0.9806
[2021-03-20 01:38:57] Seeded: 7
[2021-03-20 01:38:57] Running: experiment 2
[2021-03-20 01:38:57] Showing labelled: True (20/10000 visible, 0 redundant)
[2021-03-20 01:38:57] Reset parameters according to He et al.
[2021-03-20 01:38:57] mlp: initialized 17412 parameters.
[2021-03-20 01:38:57] Creating trainer with model on device: cuda
[2021-03-20 01:38:57] Training mlp across 20 data points in quadrant-large...
[2021-03-20 01:38:58] Training accuracy: 0.9901
[2021-03-20 01:38:58] Testing on 10000 data points...
[2021-03-20 01:38:58] Test score for 20 training labels: 0.9435
[2021-03-20 01:38:58] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:38:58] Found 10000 unlabelled features.
[2021-03-20 01:38:58] Computing distance between 20 labelled and 10000 unlabelled vectors of length 128...
[2021-03-20 01:38:59] Searching for coresets greedily...
[2021-03-20 01:38:59] Showing labelled: True (40/10000 visible, 0 redundant)
[2021-03-20 01:38:59] Reset parameters according to He et al.
[2021-03-20 01:38:59] mlp: initialized 17412 parameters.
[2021-03-20 01:38:59] Creating trainer with model on device: cuda
[2021-03-20 01:38:59] Training mlp across 40 data points in quadrant-large...
[2021-03-20 01:39:01] Training accuracy: 0.9314
[2021-03-20 01:39:01] Testing on 10000 data points...
[2021-03-20 01:39:01] Test score for 40 training labels: 0.9660
[2021-03-20 01:39:01] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:39:01] Found 10000 unlabelled features.
[2021-03-20 01:39:01] Computing distance between 40 labelled and 10000 unlabelled vectors of length 128...
[2021-03-20 01:39:01] Searching for coresets greedily...
[2021-03-20 01:39:01] Showing labelled: True (60/10000 visible, 0 redundant)
[2021-03-20 01:39:01] Reset parameters according to He et al.
[2021-03-20 01:39:01] mlp: initialized 17412 parameters.
[2021-03-20 01:39:01] Creating trainer with model on device: cuda
[2021-03-20 01:39:01] Training mlp across 60 data points in quadrant-large...
[2021-03-20 01:39:05] Training accuracy: 0.9098
[2021-03-20 01:39:05] Testing on 10000 data points...
[2021-03-20 01:39:05] Test score for 60 training labels: 0.9771
[2021-03-20 01:39:05] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:39:05] Found 10000 unlabelled features.
[2021-03-20 01:39:05] Computing distance between 60 labelled and 10000 unlabelled vectors of length 128...
[2021-03-20 01:39:05] Searching for coresets greedily...
[2021-03-20 01:39:05] Showing labelled: True (80/10000 visible, 0 redundant)
[2021-03-20 01:39:05] Reset parameters according to He et al.
[2021-03-20 01:39:05] mlp: initialized 17412 parameters.
[2021-03-20 01:39:05] Creating trainer with model on device: cuda
[2021-03-20 01:39:05] Training mlp across 80 data points in quadrant-large...
[2021-03-20 01:39:09] Training accuracy: 0.9661
[2021-03-20 01:39:09] Testing on 10000 data points...
[2021-03-20 01:39:09] Test score for 80 training labels: 0.9870
[2021-03-20 01:39:09] Showing labelled: False (10000/10000 visible, 0 redundant)
[2021-03-20 01:39:09] Found 10000 unlabelled features.
[2021-03-20 01:39:10] Computing distance between 80 labelled and 10000 unlabelled vectors of length 128...
[2021-03-20 01:39:10] Searching for coresets greedily...
[2021-03-20 01:39:10] Showing labelled: True (100/10000 visible, 0 redundant)
[2021-03-20 01:39:10] Reset parameters according to He et al.
[2021-03-20 01:39:10] mlp: initialized 17412 parameters.
[2021-03-20 01:39:10] Creating trainer with model on device: cuda
[2021-03-20 01:39:10] Training mlp across 100 data points in quadrant-large...
[2021-03-20 01:39:15] Training accuracy: 0.9691
[2021-03-20 01:39:15] Testing on 10000 data points...
[2021-03-20 01:39:15] Test score for 100 training labels: 0.9838
[2021-03-20 01:39:15] Updated results: ../results/quadrant_large/mlp/results.json
