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- xenium_skin_mixed/sample15/log/Abca1.log +135 -0
- xenium_skin_mixed/sample15/log/Abca8a.log +135 -0
- xenium_skin_mixed/sample15/log/Abhd5.log +135 -0
- xenium_skin_mixed/sample15/log/Abraxas2.log +135 -0
- xenium_skin_mixed/sample15/log/Acaa2.log +135 -0
- xenium_skin_mixed/sample15/log/Ace2.log +135 -0
- xenium_skin_mixed/sample15/log/Ackr3.log +135 -0
- xenium_skin_mixed/sample15/log/Ackr4.log +135 -0
- xenium_skin_mixed/sample15/log/Acsl1.log +135 -0
- xenium_skin_mixed/sample15/log/Acvr1.log +135 -0
- xenium_skin_mixed/sample15/log/Adgre1.log +135 -0
- xenium_skin_mixed/sample15/log/Adipor1.log +135 -0
- xenium_skin_mixed/sample15/log/Ago2.log +135 -0
- xenium_skin_mixed/sample15/log/Agrn.log +135 -0
- xenium_skin_mixed/sample15/log/Akap9.log +135 -0
- xenium_skin_mixed/sample15/log/Alox5.log +135 -0
- xenium_skin_mixed/sample15/log/Amy2a5.log +135 -0
- xenium_skin_mixed/sample15/log/Anln.log +135 -0
- xenium_skin_mixed/sample15/log/Ap2a2.log +135 -0
- xenium_skin_mixed/sample15/log/Ap3b1.log +135 -0
- xenium_skin_mixed/sample15/log/Apaf1.log +135 -0
- xenium_skin_mixed/sample15/log/Apc.log +135 -0
- xenium_skin_mixed/sample15/log/Apip.log +135 -0
- xenium_skin_mixed/sample15/log/Arf2.log +135 -0
- xenium_skin_mixed/sample15/log/Arhgap17.log +135 -0
- xenium_skin_mixed/sample15/log/Arhgap35.log +135 -0
- xenium_skin_mixed/sample15/log/Arhgef3.log +135 -0
- xenium_skin_mixed/sample15/log/Arl13b.log +135 -0
- xenium_skin_mixed/sample15/log/Asap1.log +135 -0
- xenium_skin_mixed/sample15/log/Atf6b.log +135 -0
- xenium_skin_mixed/sample15/log/Atg13.log +135 -0
- xenium_skin_mixed/sample15/log/Atg7.log +135 -0
- xenium_skin_mixed/sample15/log/Atn1.log +135 -0
- xenium_skin_mixed/sample15/log/Atp2a3.log +135 -0
- xenium_skin_mixed/sample15/log/Atp5o.log +135 -0
- xenium_skin_mixed/sample15/log/Atp6v1b2.log +135 -0
- xenium_skin_mixed/sample15/log/Atrx.log +135 -0
- xenium_skin_mixed/sample15/log/Azi2.log +135 -0
- xenium_skin_mixed/sample15/log/Bach1.log +135 -0
- xenium_skin_mixed/sample15/log/Bap1.log +135 -0
- xenium_skin_mixed/sample15/log/Bcam.log +135 -0
- xenium_skin_mixed/sample15/log/Bcl2l11.log +135 -0
- xenium_skin_mixed/sample15/log/Bcl7b.log +135 -0
- xenium_skin_mixed/sample15/log/Bclaf1.log +135 -0
- xenium_skin_mixed/sample15/log/Bcr.log +135 -0
- xenium_skin_mixed/sample15/log/Bex3.log +135 -0
- xenium_skin_mixed/sample15/log/Birc3.log +135 -0
- xenium_skin_mixed/sample15/log/Bmp1.log +135 -0
- xenium_skin_mixed/sample15/log/Bmpr2.log +135 -0
- xenium_skin_mixed/sample15/log/Bnc2.log +135 -0
xenium_skin_mixed/sample15/log/Abca1.log
ADDED
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@@ -0,0 +1,135 @@
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| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Abca1
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
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| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 650 0.845266 0.000060 100 false 10 0.007815 0.000298
|
| 13 |
+
1 680 650 0.740073 0.000226 100 false 10 0.000655 0.000314
|
| 14 |
+
2 5552 650 0.871948 0.000859 100 false 10 0.020288 0.001294
|
| 15 |
+
3 3231 650 0.750757 0.000809 100 false 10 0.000961 0.000879
|
| 16 |
+
4 87 650 0.600909 0.000043 100 false 10 0.001950 0.000075
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| 17 |
+
5 96 650 0.906368 0.000121 100 false 10 0.000415 0.000146
|
| 18 |
+
6 1210 650 0.838396 0.003480 100 false 10 0.007375 0.004373
|
| 19 |
+
7 3 650 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 650 0.967374 0.001552 100 false 10 0.001948 0.001645
|
| 21 |
+
9 332 650 0.790920 0.000153 100 false 10 0.002670 0.000644
|
| 22 |
+
10 82 650 0.506783 0.000049 100 false 10 0.007007 0.001602
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.007815
|
| 27 |
+
0 1 0.006418
|
| 28 |
+
0 2 0.005036
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| 29 |
+
0 3 0.003713
|
| 30 |
+
0 4 0.002516
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| 31 |
+
0 5 0.001524
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| 32 |
+
0 6 0.000803
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| 33 |
+
0 7 0.000384
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| 34 |
+
0 8 0.000239
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| 35 |
+
0 9 0.000298
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| 36 |
+
1 0 0.000655
|
| 37 |
+
1 1 0.000542
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| 38 |
+
1 2 0.000460
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| 39 |
+
1 3 0.000403
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| 40 |
+
1 4 0.000367
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| 41 |
+
1 5 0.000344
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| 42 |
+
1 6 0.000331
|
| 43 |
+
1 7 0.000323
|
| 44 |
+
1 8 0.000318
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| 45 |
+
1 9 0.000314
|
| 46 |
+
2 0 0.020288
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| 47 |
+
2 1 0.016180
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| 48 |
+
2 2 0.012502
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| 49 |
+
2 3 0.009310
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| 50 |
+
2 4 0.006664
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| 51 |
+
2 5 0.004606
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| 52 |
+
2 6 0.003118
|
| 53 |
+
2 7 0.002120
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| 54 |
+
2 8 0.001538
|
| 55 |
+
2 9 0.001294
|
| 56 |
+
3 0 0.000961
|
| 57 |
+
3 1 0.000946
|
| 58 |
+
3 2 0.000937
|
| 59 |
+
3 3 0.000927
|
| 60 |
+
3 4 0.000917
|
| 61 |
+
3 5 0.000908
|
| 62 |
+
3 6 0.000900
|
| 63 |
+
3 7 0.000893
|
| 64 |
+
3 8 0.000886
|
| 65 |
+
3 9 0.000879
|
| 66 |
+
4 0 0.001950
|
| 67 |
+
4 1 0.001647
|
| 68 |
+
4 2 0.001354
|
| 69 |
+
4 3 0.001075
|
| 70 |
+
4 4 0.000815
|
| 71 |
+
4 5 0.000580
|
| 72 |
+
4 6 0.000381
|
| 73 |
+
4 7 0.000226
|
| 74 |
+
4 8 0.000123
|
| 75 |
+
4 9 0.000075
|
| 76 |
+
5 0 0.000415
|
| 77 |
+
5 1 0.000353
|
| 78 |
+
5 2 0.000298
|
| 79 |
+
5 3 0.000252
|
| 80 |
+
5 4 0.000215
|
| 81 |
+
5 5 0.000186
|
| 82 |
+
5 6 0.000166
|
| 83 |
+
5 7 0.000154
|
| 84 |
+
5 8 0.000147
|
| 85 |
+
5 9 0.000146
|
| 86 |
+
6 0 0.007375
|
| 87 |
+
6 1 0.006009
|
| 88 |
+
6 2 0.005524
|
| 89 |
+
6 3 0.005453
|
| 90 |
+
6 4 0.005411
|
| 91 |
+
6 5 0.005260
|
| 92 |
+
6 6 0.005019
|
| 93 |
+
6 7 0.004755
|
| 94 |
+
6 8 0.004528
|
| 95 |
+
6 9 0.004373
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.001948
|
| 107 |
+
8 1 0.001824
|
| 108 |
+
8 2 0.001752
|
| 109 |
+
8 3 0.001714
|
| 110 |
+
8 4 0.001693
|
| 111 |
+
8 5 0.001681
|
| 112 |
+
8 6 0.001673
|
| 113 |
+
8 7 0.001667
|
| 114 |
+
8 8 0.001658
|
| 115 |
+
8 9 0.001645
|
| 116 |
+
9 0 0.002670
|
| 117 |
+
9 1 0.002021
|
| 118 |
+
9 2 0.001403
|
| 119 |
+
9 3 0.000870
|
| 120 |
+
9 4 0.000492
|
| 121 |
+
9 5 0.000319
|
| 122 |
+
9 6 0.000335
|
| 123 |
+
9 7 0.000452
|
| 124 |
+
9 8 0.000573
|
| 125 |
+
9 9 0.000644
|
| 126 |
+
10 0 0.007007
|
| 127 |
+
10 1 0.006523
|
| 128 |
+
10 2 0.006011
|
| 129 |
+
10 3 0.005466
|
| 130 |
+
10 4 0.004888
|
| 131 |
+
10 5 0.004275
|
| 132 |
+
10 6 0.003630
|
| 133 |
+
10 7 0.002958
|
| 134 |
+
10 8 0.002274
|
| 135 |
+
10 9 0.001602
|
xenium_skin_mixed/sample15/log/Abca8a.log
ADDED
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@@ -0,0 +1,135 @@
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|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Abca8a
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 626 0.587711 0.000023 100 false 10 0.000039 0.000030
|
| 13 |
+
1 680 626 0.570432 0.000127 100 false 10 0.000282 0.000174
|
| 14 |
+
2 5552 626 0.480238 0.000042 100 false 10 0.000889 0.000263
|
| 15 |
+
3 3231 626 0.805855 0.003813 100 false 10 0.005771 0.004219
|
| 16 |
+
4 87 626 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 17 |
+
5 96 626 0.968785 0.000769 100 false 10 0.001405 0.000889
|
| 18 |
+
6 1210 626 0.328909 0.000233 100 false 10 0.000259 0.000235
|
| 19 |
+
7 3 626 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 626 0.886397 0.001188 100 false 10 0.007511 0.001748
|
| 21 |
+
9 332 626 0.955129 0.007227 100 false 10 0.010605 0.006826
|
| 22 |
+
10 82 626 0.400680 0.000002 100 false 10 0.000007 0.000005
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000039
|
| 27 |
+
0 1 0.000038
|
| 28 |
+
0 2 0.000037
|
| 29 |
+
0 3 0.000035
|
| 30 |
+
0 4 0.000034
|
| 31 |
+
0 5 0.000033
|
| 32 |
+
0 6 0.000032
|
| 33 |
+
0 7 0.000031
|
| 34 |
+
0 8 0.000031
|
| 35 |
+
0 9 0.000030
|
| 36 |
+
1 0 0.000282
|
| 37 |
+
1 1 0.000205
|
| 38 |
+
1 2 0.000181
|
| 39 |
+
1 3 0.000199
|
| 40 |
+
1 4 0.000208
|
| 41 |
+
1 5 0.000196
|
| 42 |
+
1 6 0.000180
|
| 43 |
+
1 7 0.000171
|
| 44 |
+
1 8 0.000171
|
| 45 |
+
1 9 0.000174
|
| 46 |
+
2 0 0.000889
|
| 47 |
+
2 1 0.000795
|
| 48 |
+
2 2 0.000708
|
| 49 |
+
2 3 0.000627
|
| 50 |
+
2 4 0.000553
|
| 51 |
+
2 5 0.000484
|
| 52 |
+
2 6 0.000421
|
| 53 |
+
2 7 0.000363
|
| 54 |
+
2 8 0.000311
|
| 55 |
+
2 9 0.000263
|
| 56 |
+
3 0 0.005771
|
| 57 |
+
3 1 0.005383
|
| 58 |
+
3 2 0.005172
|
| 59 |
+
3 3 0.004990
|
| 60 |
+
3 4 0.004801
|
| 61 |
+
3 5 0.004628
|
| 62 |
+
3 6 0.004491
|
| 63 |
+
3 7 0.004388
|
| 64 |
+
3 8 0.004303
|
| 65 |
+
3 9 0.004219
|
| 66 |
+
4 0 0.000000
|
| 67 |
+
4 1 0.000000
|
| 68 |
+
4 2 0.000000
|
| 69 |
+
4 3 0.000000
|
| 70 |
+
4 4 0.000000
|
| 71 |
+
4 5 0.000000
|
| 72 |
+
4 6 0.000000
|
| 73 |
+
4 7 0.000000
|
| 74 |
+
4 8 0.000000
|
| 75 |
+
4 9 0.000000
|
| 76 |
+
5 0 0.001405
|
| 77 |
+
5 1 0.001267
|
| 78 |
+
5 2 0.001174
|
| 79 |
+
5 3 0.001111
|
| 80 |
+
5 4 0.001064
|
| 81 |
+
5 5 0.001023
|
| 82 |
+
5 6 0.000983
|
| 83 |
+
5 7 0.000947
|
| 84 |
+
5 8 0.000916
|
| 85 |
+
5 9 0.000889
|
| 86 |
+
6 0 0.000259
|
| 87 |
+
6 1 0.000253
|
| 88 |
+
6 2 0.000248
|
| 89 |
+
6 3 0.000244
|
| 90 |
+
6 4 0.000241
|
| 91 |
+
6 5 0.000239
|
| 92 |
+
6 6 0.000237
|
| 93 |
+
6 7 0.000236
|
| 94 |
+
6 8 0.000236
|
| 95 |
+
6 9 0.000235
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.007511
|
| 107 |
+
8 1 0.005738
|
| 108 |
+
8 2 0.004211
|
| 109 |
+
8 3 0.003077
|
| 110 |
+
8 4 0.002386
|
| 111 |
+
8 5 0.002041
|
| 112 |
+
8 6 0.001891
|
| 113 |
+
8 7 0.001826
|
| 114 |
+
8 8 0.001786
|
| 115 |
+
8 9 0.001748
|
| 116 |
+
9 0 0.010605
|
| 117 |
+
9 1 0.010027
|
| 118 |
+
9 2 0.009526
|
| 119 |
+
9 3 0.008909
|
| 120 |
+
9 4 0.008433
|
| 121 |
+
9 5 0.008088
|
| 122 |
+
9 6 0.007745
|
| 123 |
+
9 7 0.007387
|
| 124 |
+
9 8 0.007069
|
| 125 |
+
9 9 0.006826
|
| 126 |
+
10 0 0.000007
|
| 127 |
+
10 1 0.000007
|
| 128 |
+
10 2 0.000006
|
| 129 |
+
10 3 0.000006
|
| 130 |
+
10 4 0.000006
|
| 131 |
+
10 5 0.000005
|
| 132 |
+
10 6 0.000005
|
| 133 |
+
10 7 0.000005
|
| 134 |
+
10 8 0.000005
|
| 135 |
+
10 9 0.000005
|
xenium_skin_mixed/sample15/log/Abhd5.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Abhd5
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 613 0.711020 0.000015 100 false 10 0.000032 0.000017
|
| 13 |
+
1 680 613 0.488681 0.000155 100 false 10 0.001315 0.000226
|
| 14 |
+
2 5552 613 0.916983 0.000263 100 false 10 0.001319 0.000552
|
| 15 |
+
3 3231 613 0.631945 0.000075 100 false 10 0.000163 0.000084
|
| 16 |
+
4 87 613 0.775619 0.000034 100 false 10 0.000288 0.000067
|
| 17 |
+
5 96 613 0.898852 0.000021 100 false 10 0.000025 0.000024
|
| 18 |
+
6 1210 613 0.438563 0.000055 100 false 10 0.000058 0.000056
|
| 19 |
+
7 3 613 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 613 0.960218 0.000097 100 false 10 0.000353 0.000113
|
| 21 |
+
9 332 613 0.809806 0.000032 100 false 10 0.000048 0.000039
|
| 22 |
+
10 82 613 0.823181 0.000004 100 false 10 0.000142 0.000032
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000032
|
| 27 |
+
0 1 0.000021
|
| 28 |
+
0 2 0.000018
|
| 29 |
+
0 3 0.000018
|
| 30 |
+
0 4 0.000020
|
| 31 |
+
0 5 0.000021
|
| 32 |
+
0 6 0.000021
|
| 33 |
+
0 7 0.000019
|
| 34 |
+
0 8 0.000018
|
| 35 |
+
0 9 0.000017
|
| 36 |
+
1 0 0.001315
|
| 37 |
+
1 1 0.001117
|
| 38 |
+
1 2 0.000917
|
| 39 |
+
1 3 0.000723
|
| 40 |
+
1 4 0.000545
|
| 41 |
+
1 5 0.000399
|
| 42 |
+
1 6 0.000295
|
| 43 |
+
1 7 0.000236
|
| 44 |
+
1 8 0.000217
|
| 45 |
+
1 9 0.000226
|
| 46 |
+
2 0 0.001319
|
| 47 |
+
2 1 0.000862
|
| 48 |
+
2 2 0.000581
|
| 49 |
+
2 3 0.000466
|
| 50 |
+
2 4 0.000477
|
| 51 |
+
2 5 0.000547
|
| 52 |
+
2 6 0.000609
|
| 53 |
+
2 7 0.000629
|
| 54 |
+
2 8 0.000604
|
| 55 |
+
2 9 0.000552
|
| 56 |
+
3 0 0.000163
|
| 57 |
+
3 1 0.000144
|
| 58 |
+
3 2 0.000127
|
| 59 |
+
3 3 0.000112
|
| 60 |
+
3 4 0.000100
|
| 61 |
+
3 5 0.000091
|
| 62 |
+
3 6 0.000085
|
| 63 |
+
3 7 0.000083
|
| 64 |
+
3 8 0.000082
|
| 65 |
+
3 9 0.000084
|
| 66 |
+
4 0 0.000288
|
| 67 |
+
4 1 0.000146
|
| 68 |
+
4 2 0.000068
|
| 69 |
+
4 3 0.000045
|
| 70 |
+
4 4 0.000060
|
| 71 |
+
4 5 0.000084
|
| 72 |
+
4 6 0.000097
|
| 73 |
+
4 7 0.000094
|
| 74 |
+
4 8 0.000082
|
| 75 |
+
4 9 0.000067
|
| 76 |
+
5 0 0.000025
|
| 77 |
+
5 1 0.000025
|
| 78 |
+
5 2 0.000025
|
| 79 |
+
5 3 0.000025
|
| 80 |
+
5 4 0.000024
|
| 81 |
+
5 5 0.000024
|
| 82 |
+
5 6 0.000024
|
| 83 |
+
5 7 0.000024
|
| 84 |
+
5 8 0.000024
|
| 85 |
+
5 9 0.000024
|
| 86 |
+
6 0 0.000058
|
| 87 |
+
6 1 0.000058
|
| 88 |
+
6 2 0.000057
|
| 89 |
+
6 3 0.000057
|
| 90 |
+
6 4 0.000057
|
| 91 |
+
6 5 0.000057
|
| 92 |
+
6 6 0.000057
|
| 93 |
+
6 7 0.000057
|
| 94 |
+
6 8 0.000056
|
| 95 |
+
6 9 0.000056
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000353
|
| 107 |
+
8 1 0.000289
|
| 108 |
+
8 2 0.000238
|
| 109 |
+
8 3 0.000198
|
| 110 |
+
8 4 0.000168
|
| 111 |
+
8 5 0.000146
|
| 112 |
+
8 6 0.000131
|
| 113 |
+
8 7 0.000121
|
| 114 |
+
8 8 0.000116
|
| 115 |
+
8 9 0.000113
|
| 116 |
+
9 0 0.000048
|
| 117 |
+
9 1 0.000044
|
| 118 |
+
9 2 0.000041
|
| 119 |
+
9 3 0.000039
|
| 120 |
+
9 4 0.000039
|
| 121 |
+
9 5 0.000039
|
| 122 |
+
9 6 0.000040
|
| 123 |
+
9 7 0.000040
|
| 124 |
+
9 8 0.000040
|
| 125 |
+
9 9 0.000039
|
| 126 |
+
10 0 0.000142
|
| 127 |
+
10 1 0.000091
|
| 128 |
+
10 2 0.000051
|
| 129 |
+
10 3 0.000025
|
| 130 |
+
10 4 0.000012
|
| 131 |
+
10 5 0.000012
|
| 132 |
+
10 6 0.000018
|
| 133 |
+
10 7 0.000025
|
| 134 |
+
10 8 0.000030
|
| 135 |
+
10 9 0.000032
|
xenium_skin_mixed/sample15/log/Abraxas2.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Abraxas2
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 630 0.588034 0.000043 100 false 10 0.000239 0.000079
|
| 13 |
+
1 680 630 0.486861 0.000031 100 false 10 0.000163 0.000055
|
| 14 |
+
2 5552 630 0.499510 0.000055 100 false 10 0.000063 0.000060
|
| 15 |
+
3 3231 630 0.528128 0.000048 100 false 10 0.000053 0.000050
|
| 16 |
+
4 87 630 0.369152 0.000035 100 false 10 0.001238 0.000248
|
| 17 |
+
5 96 630 0.876298 0.000026 100 false 10 0.000116 0.000033
|
| 18 |
+
6 1210 630 0.175128 0.000072 100 false 10 0.000579 0.000332
|
| 19 |
+
7 3 630 0.190790 0.000009 100 false 10 0.002705 0.000444
|
| 20 |
+
8 448 630 0.356365 0.000041 100 false 10 0.000051 0.000046
|
| 21 |
+
9 332 630 0.722781 0.000026 100 false 10 0.000032 0.000029
|
| 22 |
+
10 82 630 0.694541 0.000015 100 false 10 0.001375 0.000225
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000239
|
| 27 |
+
0 1 0.000176
|
| 28 |
+
0 2 0.000127
|
| 29 |
+
0 3 0.000092
|
| 30 |
+
0 4 0.000070
|
| 31 |
+
0 5 0.000059
|
| 32 |
+
0 6 0.000059
|
| 33 |
+
0 7 0.000065
|
| 34 |
+
0 8 0.000072
|
| 35 |
+
0 9 0.000079
|
| 36 |
+
1 0 0.000163
|
| 37 |
+
1 1 0.000125
|
| 38 |
+
1 2 0.000090
|
| 39 |
+
1 3 0.000062
|
| 40 |
+
1 4 0.000044
|
| 41 |
+
1 5 0.000038
|
| 42 |
+
1 6 0.000040
|
| 43 |
+
1 7 0.000045
|
| 44 |
+
1 8 0.000051
|
| 45 |
+
1 9 0.000055
|
| 46 |
+
2 0 0.000063
|
| 47 |
+
2 1 0.000061
|
| 48 |
+
2 2 0.000061
|
| 49 |
+
2 3 0.000061
|
| 50 |
+
2 4 0.000061
|
| 51 |
+
2 5 0.000061
|
| 52 |
+
2 6 0.000061
|
| 53 |
+
2 7 0.000061
|
| 54 |
+
2 8 0.000060
|
| 55 |
+
2 9 0.000060
|
| 56 |
+
3 0 0.000053
|
| 57 |
+
3 1 0.000053
|
| 58 |
+
3 2 0.000052
|
| 59 |
+
3 3 0.000052
|
| 60 |
+
3 4 0.000051
|
| 61 |
+
3 5 0.000051
|
| 62 |
+
3 6 0.000051
|
| 63 |
+
3 7 0.000050
|
| 64 |
+
3 8 0.000050
|
| 65 |
+
3 9 0.000050
|
| 66 |
+
4 0 0.001238
|
| 67 |
+
4 1 0.000756
|
| 68 |
+
4 2 0.000385
|
| 69 |
+
4 3 0.000149
|
| 70 |
+
4 4 0.000047
|
| 71 |
+
4 5 0.000049
|
| 72 |
+
4 6 0.000106
|
| 73 |
+
4 7 0.000175
|
| 74 |
+
4 8 0.000225
|
| 75 |
+
4 9 0.000248
|
| 76 |
+
5 0 0.000116
|
| 77 |
+
5 1 0.000096
|
| 78 |
+
5 2 0.000078
|
| 79 |
+
5 3 0.000064
|
| 80 |
+
5 4 0.000053
|
| 81 |
+
5 5 0.000045
|
| 82 |
+
5 6 0.000039
|
| 83 |
+
5 7 0.000036
|
| 84 |
+
5 8 0.000034
|
| 85 |
+
5 9 0.000033
|
| 86 |
+
6 0 0.000579
|
| 87 |
+
6 1 0.000552
|
| 88 |
+
6 2 0.000526
|
| 89 |
+
6 3 0.000499
|
| 90 |
+
6 4 0.000472
|
| 91 |
+
6 5 0.000445
|
| 92 |
+
6 6 0.000417
|
| 93 |
+
6 7 0.000389
|
| 94 |
+
6 8 0.000361
|
| 95 |
+
6 9 0.000332
|
| 96 |
+
7 0 0.002705
|
| 97 |
+
7 1 0.002407
|
| 98 |
+
7 2 0.002035
|
| 99 |
+
7 3 0.001578
|
| 100 |
+
7 4 0.001071
|
| 101 |
+
7 5 0.000592
|
| 102 |
+
7 6 0.000270
|
| 103 |
+
7 7 0.000197
|
| 104 |
+
7 8 0.000306
|
| 105 |
+
7 9 0.000444
|
| 106 |
+
8 0 0.000051
|
| 107 |
+
8 1 0.000050
|
| 108 |
+
8 2 0.000049
|
| 109 |
+
8 3 0.000049
|
| 110 |
+
8 4 0.000048
|
| 111 |
+
8 5 0.000048
|
| 112 |
+
8 6 0.000047
|
| 113 |
+
8 7 0.000047
|
| 114 |
+
8 8 0.000046
|
| 115 |
+
8 9 0.000046
|
| 116 |
+
9 0 0.000032
|
| 117 |
+
9 1 0.000031
|
| 118 |
+
9 2 0.000030
|
| 119 |
+
9 3 0.000030
|
| 120 |
+
9 4 0.000029
|
| 121 |
+
9 5 0.000029
|
| 122 |
+
9 6 0.000029
|
| 123 |
+
9 7 0.000029
|
| 124 |
+
9 8 0.000029
|
| 125 |
+
9 9 0.000029
|
| 126 |
+
10 0 0.001375
|
| 127 |
+
10 1 0.000527
|
| 128 |
+
10 2 0.000265
|
| 129 |
+
10 3 0.000489
|
| 130 |
+
10 4 0.000601
|
| 131 |
+
10 5 0.000480
|
| 132 |
+
10 6 0.000289
|
| 133 |
+
10 7 0.000172
|
| 134 |
+
10 8 0.000168
|
| 135 |
+
10 9 0.000225
|
xenium_skin_mixed/sample15/log/Acaa2.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Acaa2
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 637 0.599327 0.000045 100 false 10 0.000111 0.000063
|
| 13 |
+
1 680 637 0.560080 0.000118 100 false 10 0.001834 0.000454
|
| 14 |
+
2 5552 637 0.825156 0.000677 100 false 10 0.003006 0.001510
|
| 15 |
+
3 3231 637 0.701573 0.000173 100 false 10 0.000194 0.000170
|
| 16 |
+
4 87 637 0.000000 0.000039 100 false 10 0.004012 0.000208
|
| 17 |
+
5 96 637 0.925036 0.000047 100 false 10 0.000058 0.000049
|
| 18 |
+
6 1210 637 0.652578 0.000127 100 false 10 0.000374 0.000164
|
| 19 |
+
7 3 637 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 637 0.873475 0.000121 100 false 10 0.000556 0.000174
|
| 21 |
+
9 332 637 0.805948 0.000163 100 false 10 0.000410 0.000222
|
| 22 |
+
10 82 637 0.418455 0.000021 100 false 10 0.000551 0.000122
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000111
|
| 27 |
+
0 1 0.000090
|
| 28 |
+
0 2 0.000103
|
| 29 |
+
0 3 0.000076
|
| 30 |
+
0 4 0.000066
|
| 31 |
+
0 5 0.000077
|
| 32 |
+
0 6 0.000079
|
| 33 |
+
0 7 0.000068
|
| 34 |
+
0 8 0.000060
|
| 35 |
+
0 9 0.000063
|
| 36 |
+
1 0 0.001834
|
| 37 |
+
1 1 0.001286
|
| 38 |
+
1 2 0.000788
|
| 39 |
+
1 3 0.000412
|
| 40 |
+
1 4 0.000235
|
| 41 |
+
1 5 0.000273
|
| 42 |
+
1 6 0.000414
|
| 43 |
+
1 7 0.000515
|
| 44 |
+
1 8 0.000522
|
| 45 |
+
1 9 0.000454
|
| 46 |
+
2 0 0.003006
|
| 47 |
+
2 1 0.002791
|
| 48 |
+
2 2 0.002612
|
| 49 |
+
2 3 0.002442
|
| 50 |
+
2 4 0.002270
|
| 51 |
+
2 5 0.002097
|
| 52 |
+
2 6 0.001931
|
| 53 |
+
2 7 0.001776
|
| 54 |
+
2 8 0.001636
|
| 55 |
+
2 9 0.001510
|
| 56 |
+
3 0 0.000194
|
| 57 |
+
3 1 0.000181
|
| 58 |
+
3 2 0.000178
|
| 59 |
+
3 3 0.000178
|
| 60 |
+
3 4 0.000177
|
| 61 |
+
3 5 0.000175
|
| 62 |
+
3 6 0.000172
|
| 63 |
+
3 7 0.000170
|
| 64 |
+
3 8 0.000170
|
| 65 |
+
3 9 0.000170
|
| 66 |
+
4 0 0.004012
|
| 67 |
+
4 1 0.003653
|
| 68 |
+
4 2 0.003257
|
| 69 |
+
4 3 0.002824
|
| 70 |
+
4 4 0.002359
|
| 71 |
+
4 5 0.001871
|
| 72 |
+
4 6 0.001377
|
| 73 |
+
4 7 0.000905
|
| 74 |
+
4 8 0.000497
|
| 75 |
+
4 9 0.000208
|
| 76 |
+
5 0 0.000058
|
| 77 |
+
5 1 0.000056
|
| 78 |
+
5 2 0.000055
|
| 79 |
+
5 3 0.000054
|
| 80 |
+
5 4 0.000053
|
| 81 |
+
5 5 0.000052
|
| 82 |
+
5 6 0.000052
|
| 83 |
+
5 7 0.000051
|
| 84 |
+
5 8 0.000050
|
| 85 |
+
5 9 0.000049
|
| 86 |
+
6 0 0.000374
|
| 87 |
+
6 1 0.000289
|
| 88 |
+
6 2 0.000224
|
| 89 |
+
6 3 0.000180
|
| 90 |
+
6 4 0.000154
|
| 91 |
+
6 5 0.000143
|
| 92 |
+
6 6 0.000143
|
| 93 |
+
6 7 0.000149
|
| 94 |
+
6 8 0.000157
|
| 95 |
+
6 9 0.000164
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000556
|
| 107 |
+
8 1 0.000411
|
| 108 |
+
8 2 0.000325
|
| 109 |
+
8 3 0.000272
|
| 110 |
+
8 4 0.000231
|
| 111 |
+
8 5 0.000197
|
| 112 |
+
8 6 0.000173
|
| 113 |
+
8 7 0.000164
|
| 114 |
+
8 8 0.000166
|
| 115 |
+
8 9 0.000174
|
| 116 |
+
9 0 0.000410
|
| 117 |
+
9 1 0.000377
|
| 118 |
+
9 2 0.000345
|
| 119 |
+
9 3 0.000315
|
| 120 |
+
9 4 0.000289
|
| 121 |
+
9 5 0.000267
|
| 122 |
+
9 6 0.000251
|
| 123 |
+
9 7 0.000238
|
| 124 |
+
9 8 0.000229
|
| 125 |
+
9 9 0.000222
|
| 126 |
+
10 0 0.000551
|
| 127 |
+
10 1 0.000166
|
| 128 |
+
10 2 0.000131
|
| 129 |
+
10 3 0.000241
|
| 130 |
+
10 4 0.000259
|
| 131 |
+
10 5 0.000194
|
| 132 |
+
10 6 0.000115
|
| 133 |
+
10 7 0.000076
|
| 134 |
+
10 8 0.000089
|
| 135 |
+
10 9 0.000122
|
xenium_skin_mixed/sample15/log/Ace2.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Ace2
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 633 0.862834 0.000000 100 false 10 0.000001 0.000000
|
| 13 |
+
1 680 633 0.199376 0.000001 100 false 10 0.000001 0.000001
|
| 14 |
+
2 5552 633 0.948385 0.000254 100 false 10 0.001053 0.000381
|
| 15 |
+
3 3231 633 0.442953 0.000005 100 false 10 0.000009 0.000007
|
| 16 |
+
4 87 633 0.257646 0.000041 100 false 10 0.000497 0.000145
|
| 17 |
+
5 96 633 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 18 |
+
6 1210 633 0.335355 0.000000 100 false 10 0.000000 0.000000
|
| 19 |
+
7 3 633 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 633 0.355314 0.000007 100 false 10 0.000007 0.000007
|
| 21 |
+
9 332 633 0.914931 0.000015 100 false 10 0.000022 0.000018
|
| 22 |
+
10 82 633 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000001
|
| 27 |
+
0 1 0.000001
|
| 28 |
+
0 2 0.000000
|
| 29 |
+
0 3 0.000000
|
| 30 |
+
0 4 0.000000
|
| 31 |
+
0 5 0.000000
|
| 32 |
+
0 6 0.000000
|
| 33 |
+
0 7 0.000000
|
| 34 |
+
0 8 0.000000
|
| 35 |
+
0 9 0.000000
|
| 36 |
+
1 0 0.000001
|
| 37 |
+
1 1 0.000001
|
| 38 |
+
1 2 0.000001
|
| 39 |
+
1 3 0.000001
|
| 40 |
+
1 4 0.000001
|
| 41 |
+
1 5 0.000001
|
| 42 |
+
1 6 0.000001
|
| 43 |
+
1 7 0.000001
|
| 44 |
+
1 8 0.000001
|
| 45 |
+
1 9 0.000001
|
| 46 |
+
2 0 0.001053
|
| 47 |
+
2 1 0.000908
|
| 48 |
+
2 2 0.000775
|
| 49 |
+
2 3 0.000657
|
| 50 |
+
2 4 0.000558
|
| 51 |
+
2 5 0.000482
|
| 52 |
+
2 6 0.000430
|
| 53 |
+
2 7 0.000399
|
| 54 |
+
2 8 0.000386
|
| 55 |
+
2 9 0.000381
|
| 56 |
+
3 0 0.000009
|
| 57 |
+
3 1 0.000008
|
| 58 |
+
3 2 0.000008
|
| 59 |
+
3 3 0.000008
|
| 60 |
+
3 4 0.000007
|
| 61 |
+
3 5 0.000007
|
| 62 |
+
3 6 0.000007
|
| 63 |
+
3 7 0.000007
|
| 64 |
+
3 8 0.000007
|
| 65 |
+
3 9 0.000007
|
| 66 |
+
4 0 0.000497
|
| 67 |
+
4 1 0.000346
|
| 68 |
+
4 2 0.000214
|
| 69 |
+
4 3 0.000117
|
| 70 |
+
4 4 0.000070
|
| 71 |
+
4 5 0.000071
|
| 72 |
+
4 6 0.000099
|
| 73 |
+
4 7 0.000129
|
| 74 |
+
4 8 0.000145
|
| 75 |
+
4 9 0.000145
|
| 76 |
+
5 0 0.000000
|
| 77 |
+
5 1 0.000000
|
| 78 |
+
5 2 0.000000
|
| 79 |
+
5 3 0.000000
|
| 80 |
+
5 4 0.000000
|
| 81 |
+
5 5 0.000000
|
| 82 |
+
5 6 0.000000
|
| 83 |
+
5 7 0.000000
|
| 84 |
+
5 8 0.000000
|
| 85 |
+
5 9 0.000000
|
| 86 |
+
6 0 0.000000
|
| 87 |
+
6 1 0.000000
|
| 88 |
+
6 2 0.000000
|
| 89 |
+
6 3 0.000000
|
| 90 |
+
6 4 0.000000
|
| 91 |
+
6 5 0.000000
|
| 92 |
+
6 6 0.000000
|
| 93 |
+
6 7 0.000000
|
| 94 |
+
6 8 0.000000
|
| 95 |
+
6 9 0.000000
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000007
|
| 107 |
+
8 1 0.000007
|
| 108 |
+
8 2 0.000007
|
| 109 |
+
8 3 0.000007
|
| 110 |
+
8 4 0.000007
|
| 111 |
+
8 5 0.000007
|
| 112 |
+
8 6 0.000007
|
| 113 |
+
8 7 0.000007
|
| 114 |
+
8 8 0.000007
|
| 115 |
+
8 9 0.000007
|
| 116 |
+
9 0 0.000022
|
| 117 |
+
9 1 0.000021
|
| 118 |
+
9 2 0.000020
|
| 119 |
+
9 3 0.000020
|
| 120 |
+
9 4 0.000019
|
| 121 |
+
9 5 0.000019
|
| 122 |
+
9 6 0.000019
|
| 123 |
+
9 7 0.000018
|
| 124 |
+
9 8 0.000018
|
| 125 |
+
9 9 0.000018
|
| 126 |
+
10 0 0.000000
|
| 127 |
+
10 1 0.000000
|
| 128 |
+
10 2 0.000000
|
| 129 |
+
10 3 0.000000
|
| 130 |
+
10 4 0.000000
|
| 131 |
+
10 5 0.000000
|
| 132 |
+
10 6 0.000000
|
| 133 |
+
10 7 0.000000
|
| 134 |
+
10 8 0.000000
|
| 135 |
+
10 9 0.000000
|
xenium_skin_mixed/sample15/log/Ackr3.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Ackr3
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 609 0.822847 0.000034 100 false 10 0.000230 0.000074
|
| 13 |
+
1 680 609 0.900798 0.000882 100 false 10 0.001873 0.001033
|
| 14 |
+
2 5552 609 0.823933 0.000140 100 false 10 0.000587 0.000222
|
| 15 |
+
3 3231 609 0.679525 0.003234 100 false 10 0.010477 0.004167
|
| 16 |
+
4 87 609 0.518388 0.000026 100 false 10 0.000043 0.000029
|
| 17 |
+
5 96 609 0.936668 0.000027 100 false 10 0.000146 0.000071
|
| 18 |
+
6 1210 609 0.540093 0.000107 100 false 10 0.000150 0.000124
|
| 19 |
+
7 3 609 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 609 0.841837 0.000100 100 false 10 0.000217 0.000114
|
| 21 |
+
9 332 609 0.906983 0.000371 100 false 10 0.001727 0.000617
|
| 22 |
+
10 82 609 0.646839 0.000014 100 false 10 0.000161 0.000031
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000230
|
| 27 |
+
0 1 0.000080
|
| 28 |
+
0 2 0.000083
|
| 29 |
+
0 3 0.000126
|
| 30 |
+
0 4 0.000120
|
| 31 |
+
0 5 0.000086
|
| 32 |
+
0 6 0.000058
|
| 33 |
+
0 7 0.000052
|
| 34 |
+
0 8 0.000063
|
| 35 |
+
0 9 0.000074
|
| 36 |
+
1 0 0.001873
|
| 37 |
+
1 1 0.001635
|
| 38 |
+
1 2 0.001538
|
| 39 |
+
1 3 0.001449
|
| 40 |
+
1 4 0.001344
|
| 41 |
+
1 5 0.001243
|
| 42 |
+
1 6 0.001166
|
| 43 |
+
1 7 0.001114
|
| 44 |
+
1 8 0.001073
|
| 45 |
+
1 9 0.001033
|
| 46 |
+
2 0 0.000587
|
| 47 |
+
2 1 0.000437
|
| 48 |
+
2 2 0.000317
|
| 49 |
+
2 3 0.000233
|
| 50 |
+
2 4 0.000184
|
| 51 |
+
2 5 0.000168
|
| 52 |
+
2 6 0.000176
|
| 53 |
+
2 7 0.000194
|
| 54 |
+
2 8 0.000211
|
| 55 |
+
2 9 0.000222
|
| 56 |
+
3 0 0.010477
|
| 57 |
+
3 1 0.008703
|
| 58 |
+
3 2 0.007194
|
| 59 |
+
3 3 0.005969
|
| 60 |
+
3 4 0.005037
|
| 61 |
+
3 5 0.004400
|
| 62 |
+
3 6 0.004043
|
| 63 |
+
3 7 0.003933
|
| 64 |
+
3 8 0.004004
|
| 65 |
+
3 9 0.004167
|
| 66 |
+
4 0 0.000043
|
| 67 |
+
4 1 0.000032
|
| 68 |
+
4 2 0.000036
|
| 69 |
+
4 3 0.000035
|
| 70 |
+
4 4 0.000031
|
| 71 |
+
4 5 0.000029
|
| 72 |
+
4 6 0.000029
|
| 73 |
+
4 7 0.000030
|
| 74 |
+
4 8 0.000030
|
| 75 |
+
4 9 0.000029
|
| 76 |
+
5 0 0.000146
|
| 77 |
+
5 1 0.000116
|
| 78 |
+
5 2 0.000098
|
| 79 |
+
5 3 0.000090
|
| 80 |
+
5 4 0.000088
|
| 81 |
+
5 5 0.000088
|
| 82 |
+
5 6 0.000086
|
| 83 |
+
5 7 0.000083
|
| 84 |
+
5 8 0.000077
|
| 85 |
+
5 9 0.000071
|
| 86 |
+
6 0 0.000150
|
| 87 |
+
6 1 0.000141
|
| 88 |
+
6 2 0.000133
|
| 89 |
+
6 3 0.000128
|
| 90 |
+
6 4 0.000125
|
| 91 |
+
6 5 0.000124
|
| 92 |
+
6 6 0.000124
|
| 93 |
+
6 7 0.000124
|
| 94 |
+
6 8 0.000124
|
| 95 |
+
6 9 0.000124
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000217
|
| 107 |
+
8 1 0.000174
|
| 108 |
+
8 2 0.000142
|
| 109 |
+
8 3 0.000120
|
| 110 |
+
8 4 0.000108
|
| 111 |
+
8 5 0.000103
|
| 112 |
+
8 6 0.000103
|
| 113 |
+
8 7 0.000107
|
| 114 |
+
8 8 0.000111
|
| 115 |
+
8 9 0.000114
|
| 116 |
+
9 0 0.001727
|
| 117 |
+
9 1 0.001427
|
| 118 |
+
9 2 0.001189
|
| 119 |
+
9 3 0.001016
|
| 120 |
+
9 4 0.000896
|
| 121 |
+
9 5 0.000815
|
| 122 |
+
9 6 0.000759
|
| 123 |
+
9 7 0.000713
|
| 124 |
+
9 8 0.000667
|
| 125 |
+
9 9 0.000617
|
| 126 |
+
10 0 0.000161
|
| 127 |
+
10 1 0.000102
|
| 128 |
+
10 2 0.000061
|
| 129 |
+
10 3 0.000036
|
| 130 |
+
10 4 0.000024
|
| 131 |
+
10 5 0.000021
|
| 132 |
+
10 6 0.000022
|
| 133 |
+
10 7 0.000025
|
| 134 |
+
10 8 0.000028
|
| 135 |
+
10 9 0.000031
|
xenium_skin_mixed/sample15/log/Ackr4.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Ackr4
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 611 0.611542 0.000004 100 false 10 0.000051 0.000008
|
| 13 |
+
1 680 611 0.757949 0.000013 100 false 10 0.000179 0.000026
|
| 14 |
+
2 5552 611 0.867916 0.000789 100 false 10 0.002373 0.001176
|
| 15 |
+
3 3231 611 0.735575 0.000477 100 false 10 0.000556 0.000496
|
| 16 |
+
4 87 611 0.781492 0.000037 100 false 10 0.000482 0.000087
|
| 17 |
+
5 96 611 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 18 |
+
6 1210 611 0.752457 0.000009 100 false 10 0.000100 0.000013
|
| 19 |
+
7 3 611 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 611 0.451475 0.000002 100 false 10 0.000004 0.000004
|
| 21 |
+
9 332 611 0.540314 0.000004 100 false 10 0.000013 0.000007
|
| 22 |
+
10 82 611 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000051
|
| 27 |
+
0 1 0.000035
|
| 28 |
+
0 2 0.000023
|
| 29 |
+
0 3 0.000014
|
| 30 |
+
0 4 0.000008
|
| 31 |
+
0 5 0.000005
|
| 32 |
+
0 6 0.000004
|
| 33 |
+
0 7 0.000005
|
| 34 |
+
0 8 0.000006
|
| 35 |
+
0 9 0.000008
|
| 36 |
+
1 0 0.000179
|
| 37 |
+
1 1 0.000144
|
| 38 |
+
1 2 0.000113
|
| 39 |
+
1 3 0.000086
|
| 40 |
+
1 4 0.000064
|
| 41 |
+
1 5 0.000047
|
| 42 |
+
1 6 0.000036
|
| 43 |
+
1 7 0.000029
|
| 44 |
+
1 8 0.000026
|
| 45 |
+
1 9 0.000026
|
| 46 |
+
2 0 0.002373
|
| 47 |
+
2 1 0.001453
|
| 48 |
+
2 2 0.001183
|
| 49 |
+
2 3 0.001397
|
| 50 |
+
2 4 0.001571
|
| 51 |
+
2 5 0.001505
|
| 52 |
+
2 6 0.001330
|
| 53 |
+
2 7 0.001187
|
| 54 |
+
2 8 0.001141
|
| 55 |
+
2 9 0.001176
|
| 56 |
+
3 0 0.000556
|
| 57 |
+
3 1 0.000541
|
| 58 |
+
3 2 0.000530
|
| 59 |
+
3 3 0.000522
|
| 60 |
+
3 4 0.000516
|
| 61 |
+
3 5 0.000512
|
| 62 |
+
3 6 0.000508
|
| 63 |
+
3 7 0.000504
|
| 64 |
+
3 8 0.000500
|
| 65 |
+
3 9 0.000496
|
| 66 |
+
4 0 0.000482
|
| 67 |
+
4 1 0.000366
|
| 68 |
+
4 2 0.000269
|
| 69 |
+
4 3 0.000192
|
| 70 |
+
4 4 0.000135
|
| 71 |
+
4 5 0.000098
|
| 72 |
+
4 6 0.000078
|
| 73 |
+
4 7 0.000072
|
| 74 |
+
4 8 0.000077
|
| 75 |
+
4 9 0.000087
|
| 76 |
+
5 0 0.000000
|
| 77 |
+
5 1 0.000000
|
| 78 |
+
5 2 0.000000
|
| 79 |
+
5 3 0.000000
|
| 80 |
+
5 4 0.000000
|
| 81 |
+
5 5 0.000000
|
| 82 |
+
5 6 0.000000
|
| 83 |
+
5 7 0.000000
|
| 84 |
+
5 8 0.000000
|
| 85 |
+
5 9 0.000000
|
| 86 |
+
6 0 0.000100
|
| 87 |
+
6 1 0.000084
|
| 88 |
+
6 2 0.000069
|
| 89 |
+
6 3 0.000056
|
| 90 |
+
6 4 0.000044
|
| 91 |
+
6 5 0.000034
|
| 92 |
+
6 6 0.000025
|
| 93 |
+
6 7 0.000019
|
| 94 |
+
6 8 0.000015
|
| 95 |
+
6 9 0.000013
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000004
|
| 107 |
+
8 1 0.000004
|
| 108 |
+
8 2 0.000004
|
| 109 |
+
8 3 0.000004
|
| 110 |
+
8 4 0.000004
|
| 111 |
+
8 5 0.000004
|
| 112 |
+
8 6 0.000004
|
| 113 |
+
8 7 0.000004
|
| 114 |
+
8 8 0.000004
|
| 115 |
+
8 9 0.000004
|
| 116 |
+
9 0 0.000013
|
| 117 |
+
9 1 0.000011
|
| 118 |
+
9 2 0.000009
|
| 119 |
+
9 3 0.000008
|
| 120 |
+
9 4 0.000008
|
| 121 |
+
9 5 0.000007
|
| 122 |
+
9 6 0.000007
|
| 123 |
+
9 7 0.000007
|
| 124 |
+
9 8 0.000007
|
| 125 |
+
9 9 0.000007
|
| 126 |
+
10 0 0.000000
|
| 127 |
+
10 1 0.000000
|
| 128 |
+
10 2 0.000000
|
| 129 |
+
10 3 0.000000
|
| 130 |
+
10 4 0.000000
|
| 131 |
+
10 5 0.000000
|
| 132 |
+
10 6 0.000000
|
| 133 |
+
10 7 0.000000
|
| 134 |
+
10 8 0.000000
|
| 135 |
+
10 9 0.000000
|
xenium_skin_mixed/sample15/log/Acsl1.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Acsl1
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 644 0.877694 0.000066 100 false 10 0.001936 0.000130
|
| 13 |
+
1 680 644 0.763510 0.001563 100 false 10 0.017305 0.002852
|
| 14 |
+
2 5552 644 0.974688 0.000307 100 false 10 0.001842 0.000566
|
| 15 |
+
3 3231 644 0.376229 0.000537 100 false 10 0.000573 0.000553
|
| 16 |
+
4 87 644 0.346271 0.000039 100 false 10 0.000153 0.000082
|
| 17 |
+
5 96 644 0.928606 0.000811 100 false 10 0.002330 0.000919
|
| 18 |
+
6 1210 644 0.349500 0.000751 100 false 10 0.000774 0.000750
|
| 19 |
+
7 3 644 0.224818 0.000000 100 false 10 0.002794 0.000506
|
| 20 |
+
8 448 644 0.982330 0.004168 100 false 10 0.012807 0.005852
|
| 21 |
+
9 332 644 0.231977 0.000047 100 false 10 0.000247 0.000091
|
| 22 |
+
10 82 644 0.647424 0.000016 100 false 10 0.000561 0.000085
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.001936
|
| 27 |
+
0 1 0.001572
|
| 28 |
+
0 2 0.001249
|
| 29 |
+
0 3 0.000969
|
| 30 |
+
0 4 0.000733
|
| 31 |
+
0 5 0.000539
|
| 32 |
+
0 6 0.000387
|
| 33 |
+
0 7 0.000272
|
| 34 |
+
0 8 0.000188
|
| 35 |
+
0 9 0.000130
|
| 36 |
+
1 0 0.017305
|
| 37 |
+
1 1 0.015021
|
| 38 |
+
1 2 0.012851
|
| 39 |
+
1 3 0.010805
|
| 40 |
+
1 4 0.008908
|
| 41 |
+
1 5 0.007199
|
| 42 |
+
1 6 0.005717
|
| 43 |
+
1 7 0.004492
|
| 44 |
+
1 8 0.003537
|
| 45 |
+
1 9 0.002852
|
| 46 |
+
2 0 0.001842
|
| 47 |
+
2 1 0.001452
|
| 48 |
+
2 2 0.001279
|
| 49 |
+
2 3 0.001172
|
| 50 |
+
2 4 0.001047
|
| 51 |
+
2 5 0.000902
|
| 52 |
+
2 6 0.000765
|
| 53 |
+
2 7 0.000663
|
| 54 |
+
2 8 0.000600
|
| 55 |
+
2 9 0.000566
|
| 56 |
+
3 0 0.000573
|
| 57 |
+
3 1 0.000567
|
| 58 |
+
3 2 0.000563
|
| 59 |
+
3 3 0.000561
|
| 60 |
+
3 4 0.000560
|
| 61 |
+
3 5 0.000559
|
| 62 |
+
3 6 0.000558
|
| 63 |
+
3 7 0.000556
|
| 64 |
+
3 8 0.000555
|
| 65 |
+
3 9 0.000553
|
| 66 |
+
4 0 0.000153
|
| 67 |
+
4 1 0.000147
|
| 68 |
+
4 2 0.000138
|
| 69 |
+
4 3 0.000109
|
| 70 |
+
4 4 0.000106
|
| 71 |
+
4 5 0.000110
|
| 72 |
+
4 6 0.000099
|
| 73 |
+
4 7 0.000085
|
| 74 |
+
4 8 0.000081
|
| 75 |
+
4 9 0.000082
|
| 76 |
+
5 0 0.002330
|
| 77 |
+
5 1 0.001892
|
| 78 |
+
5 2 0.001540
|
| 79 |
+
5 3 0.001273
|
| 80 |
+
5 4 0.001089
|
| 81 |
+
5 5 0.000979
|
| 82 |
+
5 6 0.000926
|
| 83 |
+
5 7 0.000911
|
| 84 |
+
5 8 0.000913
|
| 85 |
+
5 9 0.000919
|
| 86 |
+
6 0 0.000774
|
| 87 |
+
6 1 0.000768
|
| 88 |
+
6 2 0.000765
|
| 89 |
+
6 3 0.000762
|
| 90 |
+
6 4 0.000759
|
| 91 |
+
6 5 0.000757
|
| 92 |
+
6 6 0.000755
|
| 93 |
+
6 7 0.000753
|
| 94 |
+
6 8 0.000752
|
| 95 |
+
6 9 0.000750
|
| 96 |
+
7 0 0.002794
|
| 97 |
+
7 1 0.002639
|
| 98 |
+
7 2 0.002466
|
| 99 |
+
7 3 0.002274
|
| 100 |
+
7 4 0.002059
|
| 101 |
+
7 5 0.001814
|
| 102 |
+
7 6 0.001531
|
| 103 |
+
7 7 0.001205
|
| 104 |
+
7 8 0.000850
|
| 105 |
+
7 9 0.000506
|
| 106 |
+
8 0 0.012807
|
| 107 |
+
8 1 0.009316
|
| 108 |
+
8 2 0.006927
|
| 109 |
+
8 3 0.005629
|
| 110 |
+
8 4 0.005259
|
| 111 |
+
8 5 0.005466
|
| 112 |
+
8 6 0.005839
|
| 113 |
+
8 7 0.006074
|
| 114 |
+
8 8 0.006065
|
| 115 |
+
8 9 0.005852
|
| 116 |
+
9 0 0.000247
|
| 117 |
+
9 1 0.000231
|
| 118 |
+
9 2 0.000215
|
| 119 |
+
9 3 0.000198
|
| 120 |
+
9 4 0.000180
|
| 121 |
+
9 5 0.000162
|
| 122 |
+
9 6 0.000143
|
| 123 |
+
9 7 0.000125
|
| 124 |
+
9 8 0.000107
|
| 125 |
+
9 9 0.000091
|
| 126 |
+
10 0 0.000561
|
| 127 |
+
10 1 0.000488
|
| 128 |
+
10 2 0.000416
|
| 129 |
+
10 3 0.000346
|
| 130 |
+
10 4 0.000280
|
| 131 |
+
10 5 0.000219
|
| 132 |
+
10 6 0.000165
|
| 133 |
+
10 7 0.000123
|
| 134 |
+
10 8 0.000095
|
| 135 |
+
10 9 0.000085
|
xenium_skin_mixed/sample15/log/Acvr1.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Acvr1
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 616 0.771902 0.000015 100 false 10 0.000508 0.000059
|
| 13 |
+
1 680 616 0.383694 0.000037 100 false 10 0.000076 0.000044
|
| 14 |
+
2 5552 616 0.658462 0.000058 100 false 10 0.000129 0.000078
|
| 15 |
+
3 3231 616 0.755170 0.000061 100 false 10 0.000125 0.000075
|
| 16 |
+
4 87 616 0.360259 0.000012 100 false 10 0.000014 0.000013
|
| 17 |
+
5 96 616 0.705998 0.000009 100 false 10 0.000010 0.000010
|
| 18 |
+
6 1210 616 0.313660 0.000025 100 false 10 0.000026 0.000026
|
| 19 |
+
7 3 616 0.124892 0.000054 100 false 10 0.000404 0.000028
|
| 20 |
+
8 448 616 0.779650 0.000033 100 false 10 0.000078 0.000044
|
| 21 |
+
9 332 616 0.815064 0.000055 100 false 10 0.000523 0.000098
|
| 22 |
+
10 82 616 0.141359 0.000005 100 false 10 0.000025 0.000012
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000508
|
| 27 |
+
0 1 0.000415
|
| 28 |
+
0 2 0.000327
|
| 29 |
+
0 3 0.000246
|
| 30 |
+
0 4 0.000173
|
| 31 |
+
0 5 0.000114
|
| 32 |
+
0 6 0.000071
|
| 33 |
+
0 7 0.000048
|
| 34 |
+
0 8 0.000045
|
| 35 |
+
0 9 0.000059
|
| 36 |
+
1 0 0.000076
|
| 37 |
+
1 1 0.000069
|
| 38 |
+
1 2 0.000064
|
| 39 |
+
1 3 0.000059
|
| 40 |
+
1 4 0.000054
|
| 41 |
+
1 5 0.000051
|
| 42 |
+
1 6 0.000048
|
| 43 |
+
1 7 0.000046
|
| 44 |
+
1 8 0.000044
|
| 45 |
+
1 9 0.000044
|
| 46 |
+
2 0 0.000129
|
| 47 |
+
2 1 0.000115
|
| 48 |
+
2 2 0.000104
|
| 49 |
+
2 3 0.000095
|
| 50 |
+
2 4 0.000088
|
| 51 |
+
2 5 0.000083
|
| 52 |
+
2 6 0.000079
|
| 53 |
+
2 7 0.000078
|
| 54 |
+
2 8 0.000077
|
| 55 |
+
2 9 0.000078
|
| 56 |
+
3 0 0.000125
|
| 57 |
+
3 1 0.000117
|
| 58 |
+
3 2 0.000109
|
| 59 |
+
3 3 0.000101
|
| 60 |
+
3 4 0.000095
|
| 61 |
+
3 5 0.000089
|
| 62 |
+
3 6 0.000084
|
| 63 |
+
3 7 0.000080
|
| 64 |
+
3 8 0.000077
|
| 65 |
+
3 9 0.000075
|
| 66 |
+
4 0 0.000014
|
| 67 |
+
4 1 0.000014
|
| 68 |
+
4 2 0.000014
|
| 69 |
+
4 3 0.000014
|
| 70 |
+
4 4 0.000014
|
| 71 |
+
4 5 0.000014
|
| 72 |
+
4 6 0.000013
|
| 73 |
+
4 7 0.000013
|
| 74 |
+
4 8 0.000013
|
| 75 |
+
4 9 0.000013
|
| 76 |
+
5 0 0.000010
|
| 77 |
+
5 1 0.000010
|
| 78 |
+
5 2 0.000010
|
| 79 |
+
5 3 0.000010
|
| 80 |
+
5 4 0.000010
|
| 81 |
+
5 5 0.000010
|
| 82 |
+
5 6 0.000010
|
| 83 |
+
5 7 0.000010
|
| 84 |
+
5 8 0.000010
|
| 85 |
+
5 9 0.000010
|
| 86 |
+
6 0 0.000026
|
| 87 |
+
6 1 0.000026
|
| 88 |
+
6 2 0.000026
|
| 89 |
+
6 3 0.000026
|
| 90 |
+
6 4 0.000026
|
| 91 |
+
6 5 0.000026
|
| 92 |
+
6 6 0.000026
|
| 93 |
+
6 7 0.000026
|
| 94 |
+
6 8 0.000026
|
| 95 |
+
6 9 0.000026
|
| 96 |
+
7 0 0.000404
|
| 97 |
+
7 1 0.000223
|
| 98 |
+
7 2 0.000086
|
| 99 |
+
7 3 0.000028
|
| 100 |
+
7 4 0.000051
|
| 101 |
+
7 5 0.000091
|
| 102 |
+
7 6 0.000103
|
| 103 |
+
7 7 0.000087
|
| 104 |
+
7 8 0.000056
|
| 105 |
+
7 9 0.000028
|
| 106 |
+
8 0 0.000078
|
| 107 |
+
8 1 0.000074
|
| 108 |
+
8 2 0.000071
|
| 109 |
+
8 3 0.000067
|
| 110 |
+
8 4 0.000063
|
| 111 |
+
8 5 0.000059
|
| 112 |
+
8 6 0.000055
|
| 113 |
+
8 7 0.000052
|
| 114 |
+
8 8 0.000048
|
| 115 |
+
8 9 0.000044
|
| 116 |
+
9 0 0.000523
|
| 117 |
+
9 1 0.000415
|
| 118 |
+
9 2 0.000324
|
| 119 |
+
9 3 0.000250
|
| 120 |
+
9 4 0.000194
|
| 121 |
+
9 5 0.000154
|
| 122 |
+
9 6 0.000126
|
| 123 |
+
9 7 0.000109
|
| 124 |
+
9 8 0.000100
|
| 125 |
+
9 9 0.000098
|
| 126 |
+
10 0 0.000025
|
| 127 |
+
10 1 0.000024
|
| 128 |
+
10 2 0.000022
|
| 129 |
+
10 3 0.000020
|
| 130 |
+
10 4 0.000018
|
| 131 |
+
10 5 0.000017
|
| 132 |
+
10 6 0.000015
|
| 133 |
+
10 7 0.000014
|
| 134 |
+
10 8 0.000013
|
| 135 |
+
10 9 0.000012
|
xenium_skin_mixed/sample15/log/Adgre1.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Adgre1
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 629 0.926868 0.000392 100 false 10 0.030565 0.005738
|
| 13 |
+
1 680 629 0.522197 0.000053 100 false 10 0.000093 0.000067
|
| 14 |
+
2 5552 629 0.612572 0.000021 100 false 10 0.000682 0.000035
|
| 15 |
+
3 3231 629 0.496713 0.000084 100 false 10 0.000126 0.000110
|
| 16 |
+
4 87 629 0.511045 0.000219 100 false 10 0.000316 0.000212
|
| 17 |
+
5 96 629 0.953604 0.000530 100 false 10 0.006403 0.001396
|
| 18 |
+
6 1210 629 0.789870 0.003302 100 false 10 0.021172 0.004109
|
| 19 |
+
7 3 629 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 629 0.604934 0.000032 100 false 10 0.000050 0.000039
|
| 21 |
+
9 332 629 0.626227 0.000016 100 false 10 0.000027 0.000020
|
| 22 |
+
10 82 629 0.627559 0.000160 100 false 10 0.001696 0.000339
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.030565
|
| 27 |
+
0 1 0.023681
|
| 28 |
+
0 2 0.017305
|
| 29 |
+
0 3 0.011700
|
| 30 |
+
0 4 0.007194
|
| 31 |
+
0 5 0.004191
|
| 32 |
+
0 6 0.002951
|
| 33 |
+
0 7 0.003388
|
| 34 |
+
0 8 0.004718
|
| 35 |
+
0 9 0.005738
|
| 36 |
+
1 0 0.000093
|
| 37 |
+
1 1 0.000081
|
| 38 |
+
1 2 0.000074
|
| 39 |
+
1 3 0.000070
|
| 40 |
+
1 4 0.000068
|
| 41 |
+
1 5 0.000068
|
| 42 |
+
1 6 0.000069
|
| 43 |
+
1 7 0.000069
|
| 44 |
+
1 8 0.000068
|
| 45 |
+
1 9 0.000067
|
| 46 |
+
2 0 0.000682
|
| 47 |
+
2 1 0.000588
|
| 48 |
+
2 2 0.000493
|
| 49 |
+
2 3 0.000400
|
| 50 |
+
2 4 0.000311
|
| 51 |
+
2 5 0.000228
|
| 52 |
+
2 6 0.000154
|
| 53 |
+
2 7 0.000095
|
| 54 |
+
2 8 0.000054
|
| 55 |
+
2 9 0.000035
|
| 56 |
+
3 0 0.000126
|
| 57 |
+
3 1 0.000111
|
| 58 |
+
3 2 0.000118
|
| 59 |
+
3 3 0.000119
|
| 60 |
+
3 4 0.000115
|
| 61 |
+
3 5 0.000110
|
| 62 |
+
3 6 0.000109
|
| 63 |
+
3 7 0.000110
|
| 64 |
+
3 8 0.000112
|
| 65 |
+
3 9 0.000110
|
| 66 |
+
4 0 0.000316
|
| 67 |
+
4 1 0.000284
|
| 68 |
+
4 2 0.000319
|
| 69 |
+
4 3 0.000243
|
| 70 |
+
4 4 0.000265
|
| 71 |
+
4 5 0.000253
|
| 72 |
+
4 6 0.000220
|
| 73 |
+
4 7 0.000232
|
| 74 |
+
4 8 0.000235
|
| 75 |
+
4 9 0.000212
|
| 76 |
+
5 0 0.006403
|
| 77 |
+
5 1 0.004675
|
| 78 |
+
5 2 0.003260
|
| 79 |
+
5 3 0.002189
|
| 80 |
+
5 4 0.001469
|
| 81 |
+
5 5 0.001082
|
| 82 |
+
5 6 0.000974
|
| 83 |
+
5 7 0.001056
|
| 84 |
+
5 8 0.001225
|
| 85 |
+
5 9 0.001396
|
| 86 |
+
6 0 0.021172
|
| 87 |
+
6 1 0.017040
|
| 88 |
+
6 2 0.013571
|
| 89 |
+
6 3 0.010736
|
| 90 |
+
6 4 0.008490
|
| 91 |
+
6 5 0.006780
|
| 92 |
+
6 6 0.005545
|
| 93 |
+
6 7 0.004729
|
| 94 |
+
6 8 0.004272
|
| 95 |
+
6 9 0.004109
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000050
|
| 107 |
+
8 1 0.000047
|
| 108 |
+
8 2 0.000045
|
| 109 |
+
8 3 0.000043
|
| 110 |
+
8 4 0.000042
|
| 111 |
+
8 5 0.000041
|
| 112 |
+
8 6 0.000040
|
| 113 |
+
8 7 0.000039
|
| 114 |
+
8 8 0.000039
|
| 115 |
+
8 9 0.000039
|
| 116 |
+
9 0 0.000027
|
| 117 |
+
9 1 0.000025
|
| 118 |
+
9 2 0.000024
|
| 119 |
+
9 3 0.000023
|
| 120 |
+
9 4 0.000023
|
| 121 |
+
9 5 0.000022
|
| 122 |
+
9 6 0.000021
|
| 123 |
+
9 7 0.000021
|
| 124 |
+
9 8 0.000020
|
| 125 |
+
9 9 0.000020
|
| 126 |
+
10 0 0.001696
|
| 127 |
+
10 1 0.000525
|
| 128 |
+
10 2 0.000179
|
| 129 |
+
10 3 0.000582
|
| 130 |
+
10 4 0.000732
|
| 131 |
+
10 5 0.000512
|
| 132 |
+
10 6 0.000253
|
| 133 |
+
10 7 0.000158
|
| 134 |
+
10 8 0.000226
|
| 135 |
+
10 9 0.000339
|
xenium_skin_mixed/sample15/log/Adipor1.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Adipor1
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 630 0.477743 0.000111 100 false 10 0.003143 0.000741
|
| 13 |
+
1 680 630 0.764436 0.000333 100 false 10 0.000608 0.000421
|
| 14 |
+
2 5552 630 0.675445 0.001175 100 false 10 0.001407 0.001260
|
| 15 |
+
3 3231 630 0.703441 0.000173 100 false 10 0.000251 0.000205
|
| 16 |
+
4 87 630 0.451908 0.000063 100 false 10 0.008919 0.001850
|
| 17 |
+
5 96 630 0.813735 0.000246 100 false 10 0.000413 0.000279
|
| 18 |
+
6 1210 630 0.523651 0.000343 100 false 10 0.000692 0.000367
|
| 19 |
+
7 3 630 0.257261 0.000269 100 false 10 0.011093 0.004525
|
| 20 |
+
8 448 630 0.660826 0.000100 100 false 10 0.000368 0.000134
|
| 21 |
+
9 332 630 0.750560 0.000164 100 false 10 0.002116 0.000326
|
| 22 |
+
10 82 630 0.431262 0.000075 100 false 10 0.017946 0.000856
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.003143
|
| 27 |
+
0 1 0.002031
|
| 28 |
+
0 2 0.001049
|
| 29 |
+
0 3 0.000390
|
| 30 |
+
0 4 0.000203
|
| 31 |
+
0 5 0.000403
|
| 32 |
+
0 6 0.000687
|
| 33 |
+
0 7 0.000850
|
| 34 |
+
0 8 0.000857
|
| 35 |
+
0 9 0.000741
|
| 36 |
+
1 0 0.000608
|
| 37 |
+
1 1 0.000486
|
| 38 |
+
1 2 0.000487
|
| 39 |
+
1 3 0.000504
|
| 40 |
+
1 4 0.000486
|
| 41 |
+
1 5 0.000452
|
| 42 |
+
1 6 0.000426
|
| 43 |
+
1 7 0.000419
|
| 44 |
+
1 8 0.000422
|
| 45 |
+
1 9 0.000421
|
| 46 |
+
2 0 0.001407
|
| 47 |
+
2 1 0.001338
|
| 48 |
+
2 2 0.001373
|
| 49 |
+
2 3 0.001304
|
| 50 |
+
2 4 0.001277
|
| 51 |
+
2 5 0.001303
|
| 52 |
+
2 6 0.001308
|
| 53 |
+
2 7 0.001279
|
| 54 |
+
2 8 0.001256
|
| 55 |
+
2 9 0.001260
|
| 56 |
+
3 0 0.000251
|
| 57 |
+
3 1 0.000228
|
| 58 |
+
3 2 0.000212
|
| 59 |
+
3 3 0.000203
|
| 60 |
+
3 4 0.000201
|
| 61 |
+
3 5 0.000203
|
| 62 |
+
3 6 0.000207
|
| 63 |
+
3 7 0.000209
|
| 64 |
+
3 8 0.000208
|
| 65 |
+
3 9 0.000205
|
| 66 |
+
4 0 0.008919
|
| 67 |
+
4 1 0.005599
|
| 68 |
+
4 2 0.002707
|
| 69 |
+
4 3 0.000766
|
| 70 |
+
4 4 0.000092
|
| 71 |
+
4 5 0.000421
|
| 72 |
+
4 6 0.001087
|
| 73 |
+
4 7 0.001617
|
| 74 |
+
4 8 0.001866
|
| 75 |
+
4 9 0.001850
|
| 76 |
+
5 0 0.000413
|
| 77 |
+
5 1 0.000351
|
| 78 |
+
5 2 0.000306
|
| 79 |
+
5 3 0.000278
|
| 80 |
+
5 4 0.000266
|
| 81 |
+
5 5 0.000267
|
| 82 |
+
5 6 0.000275
|
| 83 |
+
5 7 0.000282
|
| 84 |
+
5 8 0.000283
|
| 85 |
+
5 9 0.000279
|
| 86 |
+
6 0 0.000692
|
| 87 |
+
6 1 0.000533
|
| 88 |
+
6 2 0.000452
|
| 89 |
+
6 3 0.000444
|
| 90 |
+
6 4 0.000464
|
| 91 |
+
6 5 0.000461
|
| 92 |
+
6 6 0.000431
|
| 93 |
+
6 7 0.000396
|
| 94 |
+
6 8 0.000372
|
| 95 |
+
6 9 0.000367
|
| 96 |
+
7 0 0.011093
|
| 97 |
+
7 1 0.010404
|
| 98 |
+
7 2 0.009727
|
| 99 |
+
7 3 0.009058
|
| 100 |
+
7 4 0.008392
|
| 101 |
+
7 5 0.007723
|
| 102 |
+
7 6 0.007027
|
| 103 |
+
7 7 0.006278
|
| 104 |
+
7 8 0.005455
|
| 105 |
+
7 9 0.004525
|
| 106 |
+
8 0 0.000368
|
| 107 |
+
8 1 0.000337
|
| 108 |
+
8 2 0.000306
|
| 109 |
+
8 3 0.000276
|
| 110 |
+
8 4 0.000245
|
| 111 |
+
8 5 0.000216
|
| 112 |
+
8 6 0.000188
|
| 113 |
+
8 7 0.000164
|
| 114 |
+
8 8 0.000146
|
| 115 |
+
8 9 0.000134
|
| 116 |
+
9 0 0.002116
|
| 117 |
+
9 1 0.001638
|
| 118 |
+
9 2 0.001266
|
| 119 |
+
9 3 0.000973
|
| 120 |
+
9 4 0.000737
|
| 121 |
+
9 5 0.000549
|
| 122 |
+
9 6 0.000408
|
| 123 |
+
9 7 0.000318
|
| 124 |
+
9 8 0.000290
|
| 125 |
+
9 9 0.000326
|
| 126 |
+
10 0 0.017946
|
| 127 |
+
10 1 0.015558
|
| 128 |
+
10 2 0.013123
|
| 129 |
+
10 3 0.010631
|
| 130 |
+
10 4 0.008086
|
| 131 |
+
10 5 0.005558
|
| 132 |
+
10 6 0.003225
|
| 133 |
+
10 7 0.001411
|
| 134 |
+
10 8 0.000555
|
| 135 |
+
10 9 0.000856
|
xenium_skin_mixed/sample15/log/Ago2.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Ago2
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 642 0.753830 0.000065 100 false 10 0.000452 0.000149
|
| 13 |
+
1 680 642 0.335865 0.000053 100 false 10 0.000132 0.000057
|
| 14 |
+
2 5552 642 0.727474 0.000087 100 false 10 0.000205 0.000110
|
| 15 |
+
3 3231 642 0.704609 0.000047 100 false 10 0.000048 0.000048
|
| 16 |
+
4 87 642 0.267967 0.000045 100 false 10 0.001224 0.000317
|
| 17 |
+
5 96 642 0.953158 0.000211 100 false 10 0.000614 0.000291
|
| 18 |
+
6 1210 642 0.573463 0.000055 100 false 10 0.000213 0.000088
|
| 19 |
+
7 3 642 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 642 0.690362 0.000040 100 false 10 0.000052 0.000047
|
| 21 |
+
9 332 642 0.735840 0.000030 100 false 10 0.000045 0.000037
|
| 22 |
+
10 82 642 0.606290 0.000031 100 false 10 0.007537 0.001659
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000452
|
| 27 |
+
0 1 0.000314
|
| 28 |
+
0 2 0.000223
|
| 29 |
+
0 3 0.000182
|
| 30 |
+
0 4 0.000180
|
| 31 |
+
0 5 0.000193
|
| 32 |
+
0 6 0.000199
|
| 33 |
+
0 7 0.000192
|
| 34 |
+
0 8 0.000174
|
| 35 |
+
0 9 0.000149
|
| 36 |
+
1 0 0.000132
|
| 37 |
+
1 1 0.000104
|
| 38 |
+
1 2 0.000083
|
| 39 |
+
1 3 0.000069
|
| 40 |
+
1 4 0.000061
|
| 41 |
+
1 5 0.000057
|
| 42 |
+
1 6 0.000055
|
| 43 |
+
1 7 0.000055
|
| 44 |
+
1 8 0.000056
|
| 45 |
+
1 9 0.000057
|
| 46 |
+
2 0 0.000205
|
| 47 |
+
2 1 0.000164
|
| 48 |
+
2 2 0.000133
|
| 49 |
+
2 3 0.000113
|
| 50 |
+
2 4 0.000102
|
| 51 |
+
2 5 0.000099
|
| 52 |
+
2 6 0.000100
|
| 53 |
+
2 7 0.000104
|
| 54 |
+
2 8 0.000107
|
| 55 |
+
2 9 0.000110
|
| 56 |
+
3 0 0.000048
|
| 57 |
+
3 1 0.000048
|
| 58 |
+
3 2 0.000048
|
| 59 |
+
3 3 0.000048
|
| 60 |
+
3 4 0.000048
|
| 61 |
+
3 5 0.000048
|
| 62 |
+
3 6 0.000048
|
| 63 |
+
3 7 0.000048
|
| 64 |
+
3 8 0.000048
|
| 65 |
+
3 9 0.000048
|
| 66 |
+
4 0 0.001224
|
| 67 |
+
4 1 0.000717
|
| 68 |
+
4 2 0.000356
|
| 69 |
+
4 3 0.000158
|
| 70 |
+
4 4 0.000104
|
| 71 |
+
4 5 0.000140
|
| 72 |
+
4 6 0.000209
|
| 73 |
+
4 7 0.000271
|
| 74 |
+
4 8 0.000308
|
| 75 |
+
4 9 0.000317
|
| 76 |
+
5 0 0.000614
|
| 77 |
+
5 1 0.000473
|
| 78 |
+
5 2 0.000371
|
| 79 |
+
5 3 0.000307
|
| 80 |
+
5 4 0.000274
|
| 81 |
+
5 5 0.000264
|
| 82 |
+
5 6 0.000269
|
| 83 |
+
5 7 0.000280
|
| 84 |
+
5 8 0.000288
|
| 85 |
+
5 9 0.000291
|
| 86 |
+
6 0 0.000213
|
| 87 |
+
6 1 0.000158
|
| 88 |
+
6 2 0.000116
|
| 89 |
+
6 3 0.000089
|
| 90 |
+
6 4 0.000078
|
| 91 |
+
6 5 0.000078
|
| 92 |
+
6 6 0.000084
|
| 93 |
+
6 7 0.000090
|
| 94 |
+
6 8 0.000091
|
| 95 |
+
6 9 0.000088
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000052
|
| 107 |
+
8 1 0.000051
|
| 108 |
+
8 2 0.000050
|
| 109 |
+
8 3 0.000049
|
| 110 |
+
8 4 0.000048
|
| 111 |
+
8 5 0.000048
|
| 112 |
+
8 6 0.000048
|
| 113 |
+
8 7 0.000047
|
| 114 |
+
8 8 0.000047
|
| 115 |
+
8 9 0.000047
|
| 116 |
+
9 0 0.000045
|
| 117 |
+
9 1 0.000044
|
| 118 |
+
9 2 0.000043
|
| 119 |
+
9 3 0.000042
|
| 120 |
+
9 4 0.000041
|
| 121 |
+
9 5 0.000040
|
| 122 |
+
9 6 0.000039
|
| 123 |
+
9 7 0.000038
|
| 124 |
+
9 8 0.000038
|
| 125 |
+
9 9 0.000037
|
| 126 |
+
10 0 0.007537
|
| 127 |
+
10 1 0.005184
|
| 128 |
+
10 2 0.002959
|
| 129 |
+
10 3 0.001202
|
| 130 |
+
10 4 0.000319
|
| 131 |
+
10 5 0.000401
|
| 132 |
+
10 6 0.000989
|
| 133 |
+
10 7 0.001505
|
| 134 |
+
10 8 0.001725
|
| 135 |
+
10 9 0.001659
|
xenium_skin_mixed/sample15/log/Agrn.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Agrn
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 643 0.848699 0.000010 100 false 10 0.000068 0.000014
|
| 13 |
+
1 680 643 0.843452 0.000076 100 false 10 0.000101 0.000086
|
| 14 |
+
2 5552 643 0.929960 0.000445 100 false 10 0.001052 0.000720
|
| 15 |
+
3 3231 643 0.705792 0.000032 100 false 10 0.000180 0.000083
|
| 16 |
+
4 87 643 0.270515 0.000019 100 false 10 0.000082 0.000032
|
| 17 |
+
5 96 643 0.685528 0.000061 100 false 10 0.000144 0.000097
|
| 18 |
+
6 1210 643 0.326695 0.000008 100 false 10 0.000022 0.000015
|
| 19 |
+
7 3 643 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 643 0.506872 0.000037 100 false 10 0.000088 0.000047
|
| 21 |
+
9 332 643 0.907734 0.000169 100 false 10 0.000592 0.000187
|
| 22 |
+
10 82 643 0.290742 0.000008 100 false 10 0.000008 0.000008
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000068
|
| 27 |
+
0 1 0.000057
|
| 28 |
+
0 2 0.000048
|
| 29 |
+
0 3 0.000039
|
| 30 |
+
0 4 0.000032
|
| 31 |
+
0 5 0.000026
|
| 32 |
+
0 6 0.000021
|
| 33 |
+
0 7 0.000018
|
| 34 |
+
0 8 0.000016
|
| 35 |
+
0 9 0.000014
|
| 36 |
+
1 0 0.000101
|
| 37 |
+
1 1 0.000096
|
| 38 |
+
1 2 0.000096
|
| 39 |
+
1 3 0.000094
|
| 40 |
+
1 4 0.000092
|
| 41 |
+
1 5 0.000089
|
| 42 |
+
1 6 0.000088
|
| 43 |
+
1 7 0.000087
|
| 44 |
+
1 8 0.000087
|
| 45 |
+
1 9 0.000086
|
| 46 |
+
2 0 0.001052
|
| 47 |
+
2 1 0.001014
|
| 48 |
+
2 2 0.000927
|
| 49 |
+
2 3 0.000903
|
| 50 |
+
2 4 0.000866
|
| 51 |
+
2 5 0.000823
|
| 52 |
+
2 6 0.000799
|
| 53 |
+
2 7 0.000779
|
| 54 |
+
2 8 0.000749
|
| 55 |
+
2 9 0.000720
|
| 56 |
+
3 0 0.000180
|
| 57 |
+
3 1 0.000167
|
| 58 |
+
3 2 0.000154
|
| 59 |
+
3 3 0.000142
|
| 60 |
+
3 4 0.000131
|
| 61 |
+
3 5 0.000120
|
| 62 |
+
3 6 0.000110
|
| 63 |
+
3 7 0.000100
|
| 64 |
+
3 8 0.000091
|
| 65 |
+
3 9 0.000083
|
| 66 |
+
4 0 0.000082
|
| 67 |
+
4 1 0.000038
|
| 68 |
+
4 2 0.000037
|
| 69 |
+
4 3 0.000048
|
| 70 |
+
4 4 0.000050
|
| 71 |
+
4 5 0.000042
|
| 72 |
+
4 6 0.000034
|
| 73 |
+
4 7 0.000029
|
| 74 |
+
4 8 0.000029
|
| 75 |
+
4 9 0.000032
|
| 76 |
+
5 0 0.000144
|
| 77 |
+
5 1 0.000133
|
| 78 |
+
5 2 0.000124
|
| 79 |
+
5 3 0.000117
|
| 80 |
+
5 4 0.000110
|
| 81 |
+
5 5 0.000105
|
| 82 |
+
5 6 0.000101
|
| 83 |
+
5 7 0.000099
|
| 84 |
+
5 8 0.000097
|
| 85 |
+
5 9 0.000097
|
| 86 |
+
6 0 0.000022
|
| 87 |
+
6 1 0.000021
|
| 88 |
+
6 2 0.000020
|
| 89 |
+
6 3 0.000019
|
| 90 |
+
6 4 0.000018
|
| 91 |
+
6 5 0.000017
|
| 92 |
+
6 6 0.000017
|
| 93 |
+
6 7 0.000016
|
| 94 |
+
6 8 0.000015
|
| 95 |
+
6 9 0.000015
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000088
|
| 107 |
+
8 1 0.000081
|
| 108 |
+
8 2 0.000074
|
| 109 |
+
8 3 0.000068
|
| 110 |
+
8 4 0.000063
|
| 111 |
+
8 5 0.000058
|
| 112 |
+
8 6 0.000054
|
| 113 |
+
8 7 0.000051
|
| 114 |
+
8 8 0.000049
|
| 115 |
+
8 9 0.000047
|
| 116 |
+
9 0 0.000592
|
| 117 |
+
9 1 0.000489
|
| 118 |
+
9 2 0.000402
|
| 119 |
+
9 3 0.000331
|
| 120 |
+
9 4 0.000277
|
| 121 |
+
9 5 0.000237
|
| 122 |
+
9 6 0.000212
|
| 123 |
+
9 7 0.000197
|
| 124 |
+
9 8 0.000190
|
| 125 |
+
9 9 0.000187
|
| 126 |
+
10 0 0.000008
|
| 127 |
+
10 1 0.000008
|
| 128 |
+
10 2 0.000008
|
| 129 |
+
10 3 0.000008
|
| 130 |
+
10 4 0.000008
|
| 131 |
+
10 5 0.000008
|
| 132 |
+
10 6 0.000008
|
| 133 |
+
10 7 0.000008
|
| 134 |
+
10 8 0.000008
|
| 135 |
+
10 9 0.000008
|
xenium_skin_mixed/sample15/log/Akap9.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Akap9
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 636 0.699932 0.000060 100 false 10 0.002463 0.000535
|
| 13 |
+
1 680 636 0.356874 0.000067 100 false 10 0.000138 0.000072
|
| 14 |
+
2 5552 636 0.739561 0.000131 100 false 10 0.000230 0.000152
|
| 15 |
+
3 3231 636 0.698810 0.000100 100 false 10 0.000160 0.000112
|
| 16 |
+
4 87 636 0.219009 0.000030 100 false 10 0.000581 0.000066
|
| 17 |
+
5 96 636 0.674556 0.000065 100 false 10 0.000119 0.000079
|
| 18 |
+
6 1210 636 0.334413 0.000072 100 false 10 0.000813 0.000103
|
| 19 |
+
7 3 636 0.198804 0.000014 100 false 10 0.000304 0.000045
|
| 20 |
+
8 448 636 0.544531 0.000087 100 false 10 0.000561 0.000110
|
| 21 |
+
9 332 636 0.410216 0.000116 100 false 10 0.001367 0.000264
|
| 22 |
+
10 82 636 0.217147 0.000070 100 false 10 0.000488 0.000118
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.002463
|
| 27 |
+
0 1 0.001436
|
| 28 |
+
0 2 0.000622
|
| 29 |
+
0 3 0.000202
|
| 30 |
+
0 4 0.000201
|
| 31 |
+
0 5 0.000410
|
| 32 |
+
0 6 0.000598
|
| 33 |
+
0 7 0.000676
|
| 34 |
+
0 8 0.000644
|
| 35 |
+
0 9 0.000535
|
| 36 |
+
1 0 0.000138
|
| 37 |
+
1 1 0.000119
|
| 38 |
+
1 2 0.000104
|
| 39 |
+
1 3 0.000093
|
| 40 |
+
1 4 0.000084
|
| 41 |
+
1 5 0.000078
|
| 42 |
+
1 6 0.000074
|
| 43 |
+
1 7 0.000072
|
| 44 |
+
1 8 0.000072
|
| 45 |
+
1 9 0.000072
|
| 46 |
+
2 0 0.000230
|
| 47 |
+
2 1 0.000215
|
| 48 |
+
2 2 0.000202
|
| 49 |
+
2 3 0.000190
|
| 50 |
+
2 4 0.000180
|
| 51 |
+
2 5 0.000171
|
| 52 |
+
2 6 0.000164
|
| 53 |
+
2 7 0.000158
|
| 54 |
+
2 8 0.000154
|
| 55 |
+
2 9 0.000152
|
| 56 |
+
3 0 0.000160
|
| 57 |
+
3 1 0.000140
|
| 58 |
+
3 2 0.000125
|
| 59 |
+
3 3 0.000115
|
| 60 |
+
3 4 0.000110
|
| 61 |
+
3 5 0.000108
|
| 62 |
+
3 6 0.000108
|
| 63 |
+
3 7 0.000109
|
| 64 |
+
3 8 0.000110
|
| 65 |
+
3 9 0.000112
|
| 66 |
+
4 0 0.000581
|
| 67 |
+
4 1 0.000315
|
| 68 |
+
4 2 0.000119
|
| 69 |
+
4 3 0.000044
|
| 70 |
+
4 4 0.000089
|
| 71 |
+
4 5 0.000162
|
| 72 |
+
4 6 0.000186
|
| 73 |
+
4 7 0.000161
|
| 74 |
+
4 8 0.000112
|
| 75 |
+
4 9 0.000066
|
| 76 |
+
5 0 0.000119
|
| 77 |
+
5 1 0.000113
|
| 78 |
+
5 2 0.000106
|
| 79 |
+
5 3 0.000101
|
| 80 |
+
5 4 0.000096
|
| 81 |
+
5 5 0.000092
|
| 82 |
+
5 6 0.000088
|
| 83 |
+
5 7 0.000085
|
| 84 |
+
5 8 0.000082
|
| 85 |
+
5 9 0.000079
|
| 86 |
+
6 0 0.000813
|
| 87 |
+
6 1 0.000725
|
| 88 |
+
6 2 0.000636
|
| 89 |
+
6 3 0.000545
|
| 90 |
+
6 4 0.000454
|
| 91 |
+
6 5 0.000364
|
| 92 |
+
6 6 0.000279
|
| 93 |
+
6 7 0.000203
|
| 94 |
+
6 8 0.000143
|
| 95 |
+
6 9 0.000103
|
| 96 |
+
7 0 0.000304
|
| 97 |
+
7 1 0.000234
|
| 98 |
+
7 2 0.000162
|
| 99 |
+
7 3 0.000096
|
| 100 |
+
7 4 0.000045
|
| 101 |
+
7 5 0.000013
|
| 102 |
+
7 6 0.000005
|
| 103 |
+
7 7 0.000014
|
| 104 |
+
7 8 0.000031
|
| 105 |
+
7 9 0.000045
|
| 106 |
+
8 0 0.000561
|
| 107 |
+
8 1 0.000476
|
| 108 |
+
8 2 0.000397
|
| 109 |
+
8 3 0.000323
|
| 110 |
+
8 4 0.000257
|
| 111 |
+
8 5 0.000198
|
| 112 |
+
8 6 0.000150
|
| 113 |
+
8 7 0.000115
|
| 114 |
+
8 8 0.000101
|
| 115 |
+
8 9 0.000110
|
| 116 |
+
9 0 0.001367
|
| 117 |
+
9 1 0.000849
|
| 118 |
+
9 2 0.000547
|
| 119 |
+
9 3 0.000477
|
| 120 |
+
9 4 0.000528
|
| 121 |
+
9 5 0.000562
|
| 122 |
+
9 6 0.000532
|
| 123 |
+
9 7 0.000451
|
| 124 |
+
9 8 0.000352
|
| 125 |
+
9 9 0.000264
|
| 126 |
+
10 0 0.000488
|
| 127 |
+
10 1 0.000236
|
| 128 |
+
10 2 0.000109
|
| 129 |
+
10 3 0.000096
|
| 130 |
+
10 4 0.000140
|
| 131 |
+
10 5 0.000181
|
| 132 |
+
10 6 0.000194
|
| 133 |
+
10 7 0.000181
|
| 134 |
+
10 8 0.000151
|
| 135 |
+
10 9 0.000118
|
xenium_skin_mixed/sample15/log/Alox5.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Alox5
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 588 0.333787 0.000677 100 false 10 0.002745 0.000773
|
| 13 |
+
1 680 588 0.288976 0.000004 100 false 10 0.000011 0.000006
|
| 14 |
+
2 5552 588 0.777363 0.000036 100 false 10 0.000050 0.000043
|
| 15 |
+
3 3231 588 0.295047 0.000058 100 false 10 0.000129 0.000076
|
| 16 |
+
4 87 588 0.715728 0.000890 100 false 10 0.120863 0.022877
|
| 17 |
+
5 96 588 0.862616 0.000563 100 false 10 0.001020 0.000588
|
| 18 |
+
6 1210 588 0.676140 0.000478 100 false 10 0.000542 0.000486
|
| 19 |
+
7 3 588 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 588 0.392070 0.000015 100 false 10 0.000015 0.000015
|
| 21 |
+
9 332 588 0.333149 0.000001 100 false 10 0.000002 0.000002
|
| 22 |
+
10 82 588 0.571234 0.000287 100 false 10 0.000663 0.000342
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.002745
|
| 27 |
+
0 1 0.001428
|
| 28 |
+
0 2 0.001019
|
| 29 |
+
0 3 0.001184
|
| 30 |
+
0 4 0.001392
|
| 31 |
+
0 5 0.001431
|
| 32 |
+
0 6 0.001313
|
| 33 |
+
0 7 0.001114
|
| 34 |
+
0 8 0.000911
|
| 35 |
+
0 9 0.000773
|
| 36 |
+
1 0 0.000011
|
| 37 |
+
1 1 0.000010
|
| 38 |
+
1 2 0.000009
|
| 39 |
+
1 3 0.000009
|
| 40 |
+
1 4 0.000008
|
| 41 |
+
1 5 0.000008
|
| 42 |
+
1 6 0.000007
|
| 43 |
+
1 7 0.000007
|
| 44 |
+
1 8 0.000006
|
| 45 |
+
1 9 0.000006
|
| 46 |
+
2 0 0.000050
|
| 47 |
+
2 1 0.000049
|
| 48 |
+
2 2 0.000048
|
| 49 |
+
2 3 0.000047
|
| 50 |
+
2 4 0.000046
|
| 51 |
+
2 5 0.000045
|
| 52 |
+
2 6 0.000044
|
| 53 |
+
2 7 0.000044
|
| 54 |
+
2 8 0.000043
|
| 55 |
+
2 9 0.000043
|
| 56 |
+
3 0 0.000129
|
| 57 |
+
3 1 0.000107
|
| 58 |
+
3 2 0.000088
|
| 59 |
+
3 3 0.000074
|
| 60 |
+
3 4 0.000066
|
| 61 |
+
3 5 0.000066
|
| 62 |
+
3 6 0.000070
|
| 63 |
+
3 7 0.000075
|
| 64 |
+
3 8 0.000077
|
| 65 |
+
3 9 0.000076
|
| 66 |
+
4 0 0.120863
|
| 67 |
+
4 1 0.073568
|
| 68 |
+
4 2 0.035037
|
| 69 |
+
4 3 0.010283
|
| 70 |
+
4 4 0.002256
|
| 71 |
+
4 5 0.007864
|
| 72 |
+
4 6 0.018009
|
| 73 |
+
4 7 0.024947
|
| 74 |
+
4 8 0.026289
|
| 75 |
+
4 9 0.022877
|
| 76 |
+
5 0 0.001020
|
| 77 |
+
5 1 0.000918
|
| 78 |
+
5 2 0.000834
|
| 79 |
+
5 3 0.000765
|
| 80 |
+
5 4 0.000711
|
| 81 |
+
5 5 0.000667
|
| 82 |
+
5 6 0.000634
|
| 83 |
+
5 7 0.000611
|
| 84 |
+
5 8 0.000596
|
| 85 |
+
5 9 0.000588
|
| 86 |
+
6 0 0.000542
|
| 87 |
+
6 1 0.000528
|
| 88 |
+
6 2 0.000516
|
| 89 |
+
6 3 0.000507
|
| 90 |
+
6 4 0.000501
|
| 91 |
+
6 5 0.000496
|
| 92 |
+
6 6 0.000493
|
| 93 |
+
6 7 0.000490
|
| 94 |
+
6 8 0.000488
|
| 95 |
+
6 9 0.000486
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000015
|
| 107 |
+
8 1 0.000015
|
| 108 |
+
8 2 0.000015
|
| 109 |
+
8 3 0.000015
|
| 110 |
+
8 4 0.000015
|
| 111 |
+
8 5 0.000015
|
| 112 |
+
8 6 0.000015
|
| 113 |
+
8 7 0.000015
|
| 114 |
+
8 8 0.000015
|
| 115 |
+
8 9 0.000015
|
| 116 |
+
9 0 0.000002
|
| 117 |
+
9 1 0.000002
|
| 118 |
+
9 2 0.000002
|
| 119 |
+
9 3 0.000002
|
| 120 |
+
9 4 0.000002
|
| 121 |
+
9 5 0.000002
|
| 122 |
+
9 6 0.000002
|
| 123 |
+
9 7 0.000002
|
| 124 |
+
9 8 0.000002
|
| 125 |
+
9 9 0.000002
|
| 126 |
+
10 0 0.000663
|
| 127 |
+
10 1 0.000467
|
| 128 |
+
10 2 0.000369
|
| 129 |
+
10 3 0.000345
|
| 130 |
+
10 4 0.000357
|
| 131 |
+
10 5 0.000376
|
| 132 |
+
10 6 0.000385
|
| 133 |
+
10 7 0.000380
|
| 134 |
+
10 8 0.000364
|
| 135 |
+
10 9 0.000342
|
xenium_skin_mixed/sample15/log/Amy2a5.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Amy2a5
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 608 0.243009 0.000039 100 false 10 0.001613 0.000360
|
| 13 |
+
1 680 608 0.515620 0.000081 100 false 10 0.000460 0.000182
|
| 14 |
+
2 5552 608 0.479919 0.000079 100 false 10 0.001552 0.000131
|
| 15 |
+
3 3231 608 0.248773 0.000124 100 false 10 0.000159 0.000134
|
| 16 |
+
4 87 608 0.430104 0.000022 100 false 10 0.001337 0.000148
|
| 17 |
+
5 96 608 0.689426 0.000055 100 false 10 0.000167 0.000077
|
| 18 |
+
6 1210 608 0.144599 0.000099 100 false 10 0.000855 0.000236
|
| 19 |
+
7 3 608 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 608 0.620129 0.000080 100 false 10 0.000110 0.000094
|
| 21 |
+
9 332 608 0.618387 0.000043 100 false 10 0.000068 0.000045
|
| 22 |
+
10 82 608 0.279085 0.000015 100 false 10 0.000175 0.000022
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.001613
|
| 27 |
+
0 1 0.001238
|
| 28 |
+
0 2 0.000821
|
| 29 |
+
0 3 0.000423
|
| 30 |
+
0 4 0.000143
|
| 31 |
+
0 5 0.000057
|
| 32 |
+
0 6 0.000126
|
| 33 |
+
0 7 0.000237
|
| 34 |
+
0 8 0.000321
|
| 35 |
+
0 9 0.000360
|
| 36 |
+
1 0 0.000460
|
| 37 |
+
1 1 0.000378
|
| 38 |
+
1 2 0.000298
|
| 39 |
+
1 3 0.000222
|
| 40 |
+
1 4 0.000161
|
| 41 |
+
1 5 0.000126
|
| 42 |
+
1 6 0.000125
|
| 43 |
+
1 7 0.000151
|
| 44 |
+
1 8 0.000176
|
| 45 |
+
1 9 0.000182
|
| 46 |
+
2 0 0.001552
|
| 47 |
+
2 1 0.001396
|
| 48 |
+
2 2 0.001222
|
| 49 |
+
2 3 0.001027
|
| 50 |
+
2 4 0.000819
|
| 51 |
+
2 5 0.000605
|
| 52 |
+
2 6 0.000398
|
| 53 |
+
2 7 0.000227
|
| 54 |
+
2 8 0.000131
|
| 55 |
+
2 9 0.000131
|
| 56 |
+
3 0 0.000159
|
| 57 |
+
3 1 0.000147
|
| 58 |
+
3 2 0.000138
|
| 59 |
+
3 3 0.000133
|
| 60 |
+
3 4 0.000131
|
| 61 |
+
3 5 0.000131
|
| 62 |
+
3 6 0.000132
|
| 63 |
+
3 7 0.000133
|
| 64 |
+
3 8 0.000134
|
| 65 |
+
3 9 0.000134
|
| 66 |
+
4 0 0.001337
|
| 67 |
+
4 1 0.001096
|
| 68 |
+
4 2 0.000855
|
| 69 |
+
4 3 0.000622
|
| 70 |
+
4 4 0.000408
|
| 71 |
+
4 5 0.000228
|
| 72 |
+
4 6 0.000102
|
| 73 |
+
4 7 0.000051
|
| 74 |
+
4 8 0.000076
|
| 75 |
+
4 9 0.000148
|
| 76 |
+
5 0 0.000167
|
| 77 |
+
5 1 0.000127
|
| 78 |
+
5 2 0.000097
|
| 79 |
+
5 3 0.000077
|
| 80 |
+
5 4 0.000068
|
| 81 |
+
5 5 0.000068
|
| 82 |
+
5 6 0.000071
|
| 83 |
+
5 7 0.000076
|
| 84 |
+
5 8 0.000078
|
| 85 |
+
5 9 0.000077
|
| 86 |
+
6 0 0.000855
|
| 87 |
+
6 1 0.000782
|
| 88 |
+
6 2 0.000709
|
| 89 |
+
6 3 0.000635
|
| 90 |
+
6 4 0.000561
|
| 91 |
+
6 5 0.000489
|
| 92 |
+
6 6 0.000418
|
| 93 |
+
6 7 0.000352
|
| 94 |
+
6 8 0.000291
|
| 95 |
+
6 9 0.000236
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000110
|
| 107 |
+
8 1 0.000102
|
| 108 |
+
8 2 0.000098
|
| 109 |
+
8 3 0.000097
|
| 110 |
+
8 4 0.000098
|
| 111 |
+
8 5 0.000098
|
| 112 |
+
8 6 0.000098
|
| 113 |
+
8 7 0.000097
|
| 114 |
+
8 8 0.000096
|
| 115 |
+
8 9 0.000094
|
| 116 |
+
9 0 0.000068
|
| 117 |
+
9 1 0.000062
|
| 118 |
+
9 2 0.000057
|
| 119 |
+
9 3 0.000053
|
| 120 |
+
9 4 0.000050
|
| 121 |
+
9 5 0.000048
|
| 122 |
+
9 6 0.000046
|
| 123 |
+
9 7 0.000046
|
| 124 |
+
9 8 0.000045
|
| 125 |
+
9 9 0.000045
|
| 126 |
+
10 0 0.000175
|
| 127 |
+
10 1 0.000078
|
| 128 |
+
10 2 0.000026
|
| 129 |
+
10 3 0.000032
|
| 130 |
+
10 4 0.000058
|
| 131 |
+
10 5 0.000069
|
| 132 |
+
10 6 0.000063
|
| 133 |
+
10 7 0.000048
|
| 134 |
+
10 8 0.000031
|
| 135 |
+
10 9 0.000022
|
xenium_skin_mixed/sample15/log/Anln.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Anln
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 661 0.446446 0.000036 100 false 10 0.000078 0.000047
|
| 13 |
+
1 680 661 0.502895 0.000011 100 false 10 0.000017 0.000013
|
| 14 |
+
2 5552 661 0.728864 0.000815 100 false 10 0.001355 0.000920
|
| 15 |
+
3 3231 661 0.387484 0.000014 100 false 10 0.000015 0.000015
|
| 16 |
+
4 87 661 0.523808 0.000014 100 false 10 0.004417 0.000597
|
| 17 |
+
5 96 661 0.908973 0.000006 100 false 10 0.000009 0.000007
|
| 18 |
+
6 1210 661 0.300733 0.000027 100 false 10 0.000037 0.000033
|
| 19 |
+
7 3 661 0.251444 0.000037 100 false 10 0.002435 0.000261
|
| 20 |
+
8 448 661 0.744244 0.000002 100 false 10 0.000004 0.000004
|
| 21 |
+
9 332 661 0.874032 0.000033 100 false 10 0.000121 0.000063
|
| 22 |
+
10 82 661 0.525830 0.000018 100 false 10 0.000066 0.000020
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000078
|
| 27 |
+
0 1 0.000064
|
| 28 |
+
0 2 0.000053
|
| 29 |
+
0 3 0.000047
|
| 30 |
+
0 4 0.000043
|
| 31 |
+
0 5 0.000043
|
| 32 |
+
0 6 0.000044
|
| 33 |
+
0 7 0.000045
|
| 34 |
+
0 8 0.000046
|
| 35 |
+
0 9 0.000047
|
| 36 |
+
1 0 0.000017
|
| 37 |
+
1 1 0.000016
|
| 38 |
+
1 2 0.000016
|
| 39 |
+
1 3 0.000015
|
| 40 |
+
1 4 0.000015
|
| 41 |
+
1 5 0.000014
|
| 42 |
+
1 6 0.000014
|
| 43 |
+
1 7 0.000014
|
| 44 |
+
1 8 0.000013
|
| 45 |
+
1 9 0.000013
|
| 46 |
+
2 0 0.001355
|
| 47 |
+
2 1 0.001088
|
| 48 |
+
2 2 0.000962
|
| 49 |
+
2 3 0.000951
|
| 50 |
+
2 4 0.000995
|
| 51 |
+
2 5 0.001030
|
| 52 |
+
2 6 0.001029
|
| 53 |
+
2 7 0.000998
|
| 54 |
+
2 8 0.000956
|
| 55 |
+
2 9 0.000920
|
| 56 |
+
3 0 0.000015
|
| 57 |
+
3 1 0.000015
|
| 58 |
+
3 2 0.000015
|
| 59 |
+
3 3 0.000015
|
| 60 |
+
3 4 0.000015
|
| 61 |
+
3 5 0.000015
|
| 62 |
+
3 6 0.000015
|
| 63 |
+
3 7 0.000015
|
| 64 |
+
3 8 0.000015
|
| 65 |
+
3 9 0.000015
|
| 66 |
+
4 0 0.004417
|
| 67 |
+
4 1 0.003480
|
| 68 |
+
4 2 0.002399
|
| 69 |
+
4 3 0.001304
|
| 70 |
+
4 4 0.000453
|
| 71 |
+
4 5 0.000064
|
| 72 |
+
4 6 0.000070
|
| 73 |
+
4 7 0.000250
|
| 74 |
+
4 8 0.000446
|
| 75 |
+
4 9 0.000597
|
| 76 |
+
5 0 0.000009
|
| 77 |
+
5 1 0.000009
|
| 78 |
+
5 2 0.000009
|
| 79 |
+
5 3 0.000008
|
| 80 |
+
5 4 0.000008
|
| 81 |
+
5 5 0.000008
|
| 82 |
+
5 6 0.000008
|
| 83 |
+
5 7 0.000008
|
| 84 |
+
5 8 0.000008
|
| 85 |
+
5 9 0.000007
|
| 86 |
+
6 0 0.000037
|
| 87 |
+
6 1 0.000036
|
| 88 |
+
6 2 0.000036
|
| 89 |
+
6 3 0.000035
|
| 90 |
+
6 4 0.000035
|
| 91 |
+
6 5 0.000034
|
| 92 |
+
6 6 0.000034
|
| 93 |
+
6 7 0.000033
|
| 94 |
+
6 8 0.000033
|
| 95 |
+
6 9 0.000033
|
| 96 |
+
7 0 0.002435
|
| 97 |
+
7 1 0.002250
|
| 98 |
+
7 2 0.002054
|
| 99 |
+
7 3 0.001847
|
| 100 |
+
7 4 0.001607
|
| 101 |
+
7 5 0.001341
|
| 102 |
+
7 6 0.001054
|
| 103 |
+
7 7 0.000763
|
| 104 |
+
7 8 0.000488
|
| 105 |
+
7 9 0.000261
|
| 106 |
+
8 0 0.000004
|
| 107 |
+
8 1 0.000004
|
| 108 |
+
8 2 0.000004
|
| 109 |
+
8 3 0.000004
|
| 110 |
+
8 4 0.000004
|
| 111 |
+
8 5 0.000004
|
| 112 |
+
8 6 0.000004
|
| 113 |
+
8 7 0.000004
|
| 114 |
+
8 8 0.000004
|
| 115 |
+
8 9 0.000004
|
| 116 |
+
9 0 0.000121
|
| 117 |
+
9 1 0.000112
|
| 118 |
+
9 2 0.000104
|
| 119 |
+
9 3 0.000097
|
| 120 |
+
9 4 0.000090
|
| 121 |
+
9 5 0.000083
|
| 122 |
+
9 6 0.000077
|
| 123 |
+
9 7 0.000072
|
| 124 |
+
9 8 0.000067
|
| 125 |
+
9 9 0.000063
|
| 126 |
+
10 0 0.000066
|
| 127 |
+
10 1 0.000057
|
| 128 |
+
10 2 0.000049
|
| 129 |
+
10 3 0.000042
|
| 130 |
+
10 4 0.000036
|
| 131 |
+
10 5 0.000030
|
| 132 |
+
10 6 0.000026
|
| 133 |
+
10 7 0.000023
|
| 134 |
+
10 8 0.000021
|
| 135 |
+
10 9 0.000020
|
xenium_skin_mixed/sample15/log/Ap2a2.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Ap2a2
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 624 0.762323 0.000349 100 false 10 0.001392 0.000835
|
| 13 |
+
1 680 624 0.408039 0.000150 100 false 10 0.000255 0.000200
|
| 14 |
+
2 5552 624 0.773813 0.000099 100 false 10 0.000151 0.000120
|
| 15 |
+
3 3231 624 0.688161 0.000249 100 false 10 0.000692 0.000386
|
| 16 |
+
4 87 624 0.210795 0.000024 100 false 10 0.000158 0.000049
|
| 17 |
+
5 96 624 0.682802 0.000253 100 false 10 0.000324 0.000266
|
| 18 |
+
6 1210 624 0.824744 0.003432 100 false 10 0.019408 0.006228
|
| 19 |
+
7 3 624 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 624 0.855297 0.000211 100 false 10 0.001496 0.000288
|
| 21 |
+
9 332 624 0.781827 0.000099 100 false 10 0.000145 0.000105
|
| 22 |
+
10 82 624 0.740238 0.000064 100 false 10 0.015470 0.003609
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.001392
|
| 27 |
+
0 1 0.001664
|
| 28 |
+
0 2 0.001244
|
| 29 |
+
0 3 0.000965
|
| 30 |
+
0 4 0.001123
|
| 31 |
+
0 5 0.001072
|
| 32 |
+
0 6 0.000843
|
| 33 |
+
0 7 0.000764
|
| 34 |
+
0 8 0.000837
|
| 35 |
+
0 9 0.000835
|
| 36 |
+
1 0 0.000255
|
| 37 |
+
1 1 0.000254
|
| 38 |
+
1 2 0.000234
|
| 39 |
+
1 3 0.000228
|
| 40 |
+
1 4 0.000226
|
| 41 |
+
1 5 0.000217
|
| 42 |
+
1 6 0.000212
|
| 43 |
+
1 7 0.000211
|
| 44 |
+
1 8 0.000207
|
| 45 |
+
1 9 0.000200
|
| 46 |
+
2 0 0.000151
|
| 47 |
+
2 1 0.000127
|
| 48 |
+
2 2 0.000136
|
| 49 |
+
2 3 0.000136
|
| 50 |
+
2 4 0.000127
|
| 51 |
+
2 5 0.000121
|
| 52 |
+
2 6 0.000122
|
| 53 |
+
2 7 0.000124
|
| 54 |
+
2 8 0.000124
|
| 55 |
+
2 9 0.000120
|
| 56 |
+
3 0 0.000692
|
| 57 |
+
3 1 0.000615
|
| 58 |
+
3 2 0.000537
|
| 59 |
+
3 3 0.000459
|
| 60 |
+
3 4 0.000389
|
| 61 |
+
3 5 0.000348
|
| 62 |
+
3 6 0.000366
|
| 63 |
+
3 7 0.000414
|
| 64 |
+
3 8 0.000417
|
| 65 |
+
3 9 0.000386
|
| 66 |
+
4 0 0.000158
|
| 67 |
+
4 1 0.000085
|
| 68 |
+
4 2 0.000050
|
| 69 |
+
4 3 0.000046
|
| 70 |
+
4 4 0.000058
|
| 71 |
+
4 5 0.000070
|
| 72 |
+
4 6 0.000073
|
| 73 |
+
4 7 0.000068
|
| 74 |
+
4 8 0.000059
|
| 75 |
+
4 9 0.000049
|
| 76 |
+
5 0 0.000324
|
| 77 |
+
5 1 0.000297
|
| 78 |
+
5 2 0.000285
|
| 79 |
+
5 3 0.000286
|
| 80 |
+
5 4 0.000288
|
| 81 |
+
5 5 0.000286
|
| 82 |
+
5 6 0.000281
|
| 83 |
+
5 7 0.000274
|
| 84 |
+
5 8 0.000269
|
| 85 |
+
5 9 0.000266
|
| 86 |
+
6 0 0.019408
|
| 87 |
+
6 1 0.013642
|
| 88 |
+
6 2 0.009435
|
| 89 |
+
6 3 0.006703
|
| 90 |
+
6 4 0.005273
|
| 91 |
+
6 5 0.004868
|
| 92 |
+
6 6 0.005105
|
| 93 |
+
6 7 0.005592
|
| 94 |
+
6 8 0.006022
|
| 95 |
+
6 9 0.006228
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.001496
|
| 107 |
+
8 1 0.001240
|
| 108 |
+
8 2 0.001014
|
| 109 |
+
8 3 0.000820
|
| 110 |
+
8 4 0.000659
|
| 111 |
+
8 5 0.000530
|
| 112 |
+
8 6 0.000432
|
| 113 |
+
8 7 0.000361
|
| 114 |
+
8 8 0.000315
|
| 115 |
+
8 9 0.000288
|
| 116 |
+
9 0 0.000145
|
| 117 |
+
9 1 0.000134
|
| 118 |
+
9 2 0.000125
|
| 119 |
+
9 3 0.000118
|
| 120 |
+
9 4 0.000113
|
| 121 |
+
9 5 0.000109
|
| 122 |
+
9 6 0.000107
|
| 123 |
+
9 7 0.000105
|
| 124 |
+
9 8 0.000105
|
| 125 |
+
9 9 0.000105
|
| 126 |
+
10 0 0.015470
|
| 127 |
+
10 1 0.013002
|
| 128 |
+
10 2 0.010795
|
| 129 |
+
10 3 0.008972
|
| 130 |
+
10 4 0.007533
|
| 131 |
+
10 5 0.006410
|
| 132 |
+
10 6 0.005519
|
| 133 |
+
10 7 0.004786
|
| 134 |
+
10 8 0.004164
|
| 135 |
+
10 9 0.003609
|
xenium_skin_mixed/sample15/log/Ap3b1.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Ap3b1
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 620 0.432170 0.000075 100 false 10 0.000895 0.000175
|
| 13 |
+
1 680 620 0.401844 0.000117 100 false 10 0.001127 0.000275
|
| 14 |
+
2 5552 620 0.383725 0.000078 100 false 10 0.000512 0.000138
|
| 15 |
+
3 3231 620 0.382932 0.000101 100 false 10 0.000583 0.000279
|
| 16 |
+
4 87 620 0.000000 0.000017 100 false 10 0.000038 0.000030
|
| 17 |
+
5 96 620 0.384214 0.000105 100 false 10 0.000285 0.000102
|
| 18 |
+
6 1210 620 0.268864 0.000181 100 false 10 0.000319 0.000205
|
| 19 |
+
7 3 620 0.000000 0.000000 24 true 10 0.000129 0.000015
|
| 20 |
+
8 448 620 0.490787 0.000064 100 false 10 0.000192 0.000123
|
| 21 |
+
9 332 620 0.638492 0.000056 100 false 10 0.000489 0.000087
|
| 22 |
+
10 82 620 0.151560 0.000077 100 false 10 0.000808 0.000223
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000895
|
| 27 |
+
0 1 0.000381
|
| 28 |
+
0 2 0.000159
|
| 29 |
+
0 3 0.000189
|
| 30 |
+
0 4 0.000297
|
| 31 |
+
0 5 0.000361
|
| 32 |
+
0 6 0.000360
|
| 33 |
+
0 7 0.000309
|
| 34 |
+
0 8 0.000238
|
| 35 |
+
0 9 0.000175
|
| 36 |
+
1 0 0.001127
|
| 37 |
+
1 1 0.000837
|
| 38 |
+
1 2 0.000593
|
| 39 |
+
1 3 0.000412
|
| 40 |
+
1 4 0.000298
|
| 41 |
+
1 5 0.000243
|
| 42 |
+
1 6 0.000229
|
| 43 |
+
1 7 0.000240
|
| 44 |
+
1 8 0.000259
|
| 45 |
+
1 9 0.000275
|
| 46 |
+
2 0 0.000512
|
| 47 |
+
2 1 0.000458
|
| 48 |
+
2 2 0.000406
|
| 49 |
+
2 3 0.000355
|
| 50 |
+
2 4 0.000307
|
| 51 |
+
2 5 0.000262
|
| 52 |
+
2 6 0.000222
|
| 53 |
+
2 7 0.000187
|
| 54 |
+
2 8 0.000159
|
| 55 |
+
2 9 0.000138
|
| 56 |
+
3 0 0.000583
|
| 57 |
+
3 1 0.000540
|
| 58 |
+
3 2 0.000499
|
| 59 |
+
3 3 0.000460
|
| 60 |
+
3 4 0.000424
|
| 61 |
+
3 5 0.000390
|
| 62 |
+
3 6 0.000359
|
| 63 |
+
3 7 0.000330
|
| 64 |
+
3 8 0.000303
|
| 65 |
+
3 9 0.000279
|
| 66 |
+
4 0 0.000038
|
| 67 |
+
4 1 0.000045
|
| 68 |
+
4 2 0.000035
|
| 69 |
+
4 3 0.000035
|
| 70 |
+
4 4 0.000037
|
| 71 |
+
4 5 0.000034
|
| 72 |
+
4 6 0.000031
|
| 73 |
+
4 7 0.000031
|
| 74 |
+
4 8 0.000032
|
| 75 |
+
4 9 0.000030
|
| 76 |
+
5 0 0.000285
|
| 77 |
+
5 1 0.000243
|
| 78 |
+
5 2 0.000207
|
| 79 |
+
5 3 0.000177
|
| 80 |
+
5 4 0.000154
|
| 81 |
+
5 5 0.000135
|
| 82 |
+
5 6 0.000121
|
| 83 |
+
5 7 0.000112
|
| 84 |
+
5 8 0.000105
|
| 85 |
+
5 9 0.000102
|
| 86 |
+
6 0 0.000319
|
| 87 |
+
6 1 0.000289
|
| 88 |
+
6 2 0.000267
|
| 89 |
+
6 3 0.000252
|
| 90 |
+
6 4 0.000241
|
| 91 |
+
6 5 0.000233
|
| 92 |
+
6 6 0.000226
|
| 93 |
+
6 7 0.000219
|
| 94 |
+
6 8 0.000212
|
| 95 |
+
6 9 0.000205
|
| 96 |
+
7 0 0.000129
|
| 97 |
+
7 1 0.000116
|
| 98 |
+
7 2 0.000103
|
| 99 |
+
7 3 0.000089
|
| 100 |
+
7 4 0.000075
|
| 101 |
+
7 5 0.000060
|
| 102 |
+
7 6 0.000046
|
| 103 |
+
7 7 0.000034
|
| 104 |
+
7 8 0.000023
|
| 105 |
+
7 9 0.000015
|
| 106 |
+
8 0 0.000192
|
| 107 |
+
8 1 0.000183
|
| 108 |
+
8 2 0.000174
|
| 109 |
+
8 3 0.000166
|
| 110 |
+
8 4 0.000158
|
| 111 |
+
8 5 0.000151
|
| 112 |
+
8 6 0.000143
|
| 113 |
+
8 7 0.000137
|
| 114 |
+
8 8 0.000130
|
| 115 |
+
8 9 0.000123
|
| 116 |
+
9 0 0.000489
|
| 117 |
+
9 1 0.000421
|
| 118 |
+
9 2 0.000355
|
| 119 |
+
9 3 0.000291
|
| 120 |
+
9 4 0.000232
|
| 121 |
+
9 5 0.000182
|
| 122 |
+
9 6 0.000141
|
| 123 |
+
9 7 0.000113
|
| 124 |
+
9 8 0.000095
|
| 125 |
+
9 9 0.000087
|
| 126 |
+
10 0 0.000808
|
| 127 |
+
10 1 0.000667
|
| 128 |
+
10 2 0.000511
|
| 129 |
+
10 3 0.000345
|
| 130 |
+
10 4 0.000192
|
| 131 |
+
10 5 0.000099
|
| 132 |
+
10 6 0.000115
|
| 133 |
+
10 7 0.000198
|
| 134 |
+
10 8 0.000240
|
| 135 |
+
10 9 0.000223
|
xenium_skin_mixed/sample15/log/Apaf1.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Apaf1
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 602 0.773324 0.000103 100 false 10 0.000326 0.000159
|
| 13 |
+
1 680 602 0.812954 0.000084 100 false 10 0.000380 0.000135
|
| 14 |
+
2 5552 602 0.588325 0.000023 100 false 10 0.000040 0.000029
|
| 15 |
+
3 3231 602 0.726626 0.000162 100 false 10 0.000370 0.000208
|
| 16 |
+
4 87 602 0.183929 0.000006 100 false 10 0.000113 0.000021
|
| 17 |
+
5 96 602 0.836534 0.000103 100 false 10 0.000274 0.000133
|
| 18 |
+
6 1210 602 0.745861 0.000096 100 false 10 0.000780 0.000176
|
| 19 |
+
7 3 602 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 602 0.809802 0.000042 100 false 10 0.000065 0.000049
|
| 21 |
+
9 332 602 0.276543 0.000033 100 false 10 0.000046 0.000036
|
| 22 |
+
10 82 602 0.427719 0.000048 100 false 10 0.001204 0.000274
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000326
|
| 27 |
+
0 1 0.000239
|
| 28 |
+
0 2 0.000211
|
| 29 |
+
0 3 0.000211
|
| 30 |
+
0 4 0.000215
|
| 31 |
+
0 5 0.000211
|
| 32 |
+
0 6 0.000200
|
| 33 |
+
0 7 0.000186
|
| 34 |
+
0 8 0.000171
|
| 35 |
+
0 9 0.000159
|
| 36 |
+
1 0 0.000380
|
| 37 |
+
1 1 0.000343
|
| 38 |
+
1 2 0.000306
|
| 39 |
+
1 3 0.000273
|
| 40 |
+
1 4 0.000244
|
| 41 |
+
1 5 0.000219
|
| 42 |
+
1 6 0.000196
|
| 43 |
+
1 7 0.000174
|
| 44 |
+
1 8 0.000153
|
| 45 |
+
1 9 0.000135
|
| 46 |
+
2 0 0.000040
|
| 47 |
+
2 1 0.000032
|
| 48 |
+
2 2 0.000030
|
| 49 |
+
2 3 0.000031
|
| 50 |
+
2 4 0.000032
|
| 51 |
+
2 5 0.000032
|
| 52 |
+
2 6 0.000032
|
| 53 |
+
2 7 0.000031
|
| 54 |
+
2 8 0.000030
|
| 55 |
+
2 9 0.000029
|
| 56 |
+
3 0 0.000370
|
| 57 |
+
3 1 0.000300
|
| 58 |
+
3 2 0.000245
|
| 59 |
+
3 3 0.000208
|
| 60 |
+
3 4 0.000188
|
| 61 |
+
3 5 0.000184
|
| 62 |
+
3 6 0.000189
|
| 63 |
+
3 7 0.000197
|
| 64 |
+
3 8 0.000205
|
| 65 |
+
3 9 0.000208
|
| 66 |
+
4 0 0.000113
|
| 67 |
+
4 1 0.000085
|
| 68 |
+
4 2 0.000058
|
| 69 |
+
4 3 0.000035
|
| 70 |
+
4 4 0.000019
|
| 71 |
+
4 5 0.000010
|
| 72 |
+
4 6 0.000008
|
| 73 |
+
4 7 0.000011
|
| 74 |
+
4 8 0.000016
|
| 75 |
+
4 9 0.000021
|
| 76 |
+
5 0 0.000274
|
| 77 |
+
5 1 0.000243
|
| 78 |
+
5 2 0.000217
|
| 79 |
+
5 3 0.000196
|
| 80 |
+
5 4 0.000178
|
| 81 |
+
5 5 0.000163
|
| 82 |
+
5 6 0.000152
|
| 83 |
+
5 7 0.000144
|
| 84 |
+
5 8 0.000138
|
| 85 |
+
5 9 0.000133
|
| 86 |
+
6 0 0.000780
|
| 87 |
+
6 1 0.000688
|
| 88 |
+
6 2 0.000601
|
| 89 |
+
6 3 0.000518
|
| 90 |
+
6 4 0.000441
|
| 91 |
+
6 5 0.000370
|
| 92 |
+
6 6 0.000308
|
| 93 |
+
6 7 0.000255
|
| 94 |
+
6 8 0.000211
|
| 95 |
+
6 9 0.000176
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000065
|
| 107 |
+
8 1 0.000059
|
| 108 |
+
8 2 0.000054
|
| 109 |
+
8 3 0.000051
|
| 110 |
+
8 4 0.000049
|
| 111 |
+
8 5 0.000048
|
| 112 |
+
8 6 0.000048
|
| 113 |
+
8 7 0.000048
|
| 114 |
+
8 8 0.000049
|
| 115 |
+
8 9 0.000049
|
| 116 |
+
9 0 0.000046
|
| 117 |
+
9 1 0.000042
|
| 118 |
+
9 2 0.000038
|
| 119 |
+
9 3 0.000036
|
| 120 |
+
9 4 0.000034
|
| 121 |
+
9 5 0.000034
|
| 122 |
+
9 6 0.000034
|
| 123 |
+
9 7 0.000035
|
| 124 |
+
9 8 0.000035
|
| 125 |
+
9 9 0.000036
|
| 126 |
+
10 0 0.001204
|
| 127 |
+
10 1 0.000880
|
| 128 |
+
10 2 0.000583
|
| 129 |
+
10 3 0.000332
|
| 130 |
+
10 4 0.000156
|
| 131 |
+
10 5 0.000086
|
| 132 |
+
10 6 0.000126
|
| 133 |
+
10 7 0.000215
|
| 134 |
+
10 8 0.000274
|
| 135 |
+
10 9 0.000274
|
xenium_skin_mixed/sample15/log/Apc.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Apc
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 669 0.505006 0.000068 100 false 10 0.004448 0.001737
|
| 13 |
+
1 680 669 0.727057 0.000163 100 false 10 0.000479 0.000219
|
| 14 |
+
2 5552 669 0.747312 0.000076 100 false 10 0.000300 0.000106
|
| 15 |
+
3 3231 669 0.577338 0.000052 100 false 10 0.000056 0.000055
|
| 16 |
+
4 87 669 0.132652 0.000039 100 false 10 0.001744 0.000302
|
| 17 |
+
5 96 669 0.948917 0.000014 100 false 10 0.000032 0.000021
|
| 18 |
+
6 1210 669 0.701223 0.000059 100 false 10 0.000145 0.000068
|
| 19 |
+
7 3 669 0.229179 0.000000 100 false 10 0.000253 0.000005
|
| 20 |
+
8 448 669 0.794831 0.000064 100 false 10 0.000101 0.000068
|
| 21 |
+
9 332 669 0.720957 0.000080 100 false 10 0.000108 0.000085
|
| 22 |
+
10 82 669 0.489223 0.000028 100 false 10 0.000970 0.000082
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.004448
|
| 27 |
+
0 1 0.004160
|
| 28 |
+
0 2 0.003873
|
| 29 |
+
0 3 0.003587
|
| 30 |
+
0 4 0.003300
|
| 31 |
+
0 5 0.003007
|
| 32 |
+
0 6 0.002708
|
| 33 |
+
0 7 0.002397
|
| 34 |
+
0 8 0.002074
|
| 35 |
+
0 9 0.001737
|
| 36 |
+
1 0 0.000479
|
| 37 |
+
1 1 0.000406
|
| 38 |
+
1 2 0.000349
|
| 39 |
+
1 3 0.000306
|
| 40 |
+
1 4 0.000276
|
| 41 |
+
1 5 0.000256
|
| 42 |
+
1 6 0.000243
|
| 43 |
+
1 7 0.000234
|
| 44 |
+
1 8 0.000227
|
| 45 |
+
1 9 0.000219
|
| 46 |
+
2 0 0.000300
|
| 47 |
+
2 1 0.000230
|
| 48 |
+
2 2 0.000175
|
| 49 |
+
2 3 0.000134
|
| 50 |
+
2 4 0.000108
|
| 51 |
+
2 5 0.000095
|
| 52 |
+
2 6 0.000091
|
| 53 |
+
2 7 0.000094
|
| 54 |
+
2 8 0.000100
|
| 55 |
+
2 9 0.000106
|
| 56 |
+
3 0 0.000056
|
| 57 |
+
3 1 0.000055
|
| 58 |
+
3 2 0.000055
|
| 59 |
+
3 3 0.000055
|
| 60 |
+
3 4 0.000055
|
| 61 |
+
3 5 0.000055
|
| 62 |
+
3 6 0.000055
|
| 63 |
+
3 7 0.000055
|
| 64 |
+
3 8 0.000055
|
| 65 |
+
3 9 0.000055
|
| 66 |
+
4 0 0.001744
|
| 67 |
+
4 1 0.000991
|
| 68 |
+
4 2 0.000414
|
| 69 |
+
4 3 0.000102
|
| 70 |
+
4 4 0.000083
|
| 71 |
+
4 5 0.000250
|
| 72 |
+
4 6 0.000412
|
| 73 |
+
4 7 0.000467
|
| 74 |
+
4 8 0.000414
|
| 75 |
+
4 9 0.000302
|
| 76 |
+
5 0 0.000032
|
| 77 |
+
5 1 0.000030
|
| 78 |
+
5 2 0.000029
|
| 79 |
+
5 3 0.000027
|
| 80 |
+
5 4 0.000026
|
| 81 |
+
5 5 0.000025
|
| 82 |
+
5 6 0.000024
|
| 83 |
+
5 7 0.000023
|
| 84 |
+
5 8 0.000022
|
| 85 |
+
5 9 0.000021
|
| 86 |
+
6 0 0.000145
|
| 87 |
+
6 1 0.000124
|
| 88 |
+
6 2 0.000106
|
| 89 |
+
6 3 0.000091
|
| 90 |
+
6 4 0.000080
|
| 91 |
+
6 5 0.000073
|
| 92 |
+
6 6 0.000069
|
| 93 |
+
6 7 0.000067
|
| 94 |
+
6 8 0.000067
|
| 95 |
+
6 9 0.000068
|
| 96 |
+
7 0 0.000253
|
| 97 |
+
7 1 0.000227
|
| 98 |
+
7 2 0.000196
|
| 99 |
+
7 3 0.000160
|
| 100 |
+
7 4 0.000120
|
| 101 |
+
7 5 0.000079
|
| 102 |
+
7 6 0.000042
|
| 103 |
+
7 7 0.000017
|
| 104 |
+
7 8 0.000005
|
| 105 |
+
7 9 0.000005
|
| 106 |
+
8 0 0.000101
|
| 107 |
+
8 1 0.000093
|
| 108 |
+
8 2 0.000087
|
| 109 |
+
8 3 0.000081
|
| 110 |
+
8 4 0.000077
|
| 111 |
+
8 5 0.000073
|
| 112 |
+
8 6 0.000071
|
| 113 |
+
8 7 0.000069
|
| 114 |
+
8 8 0.000069
|
| 115 |
+
8 9 0.000068
|
| 116 |
+
9 0 0.000108
|
| 117 |
+
9 1 0.000101
|
| 118 |
+
9 2 0.000096
|
| 119 |
+
9 3 0.000091
|
| 120 |
+
9 4 0.000088
|
| 121 |
+
9 5 0.000086
|
| 122 |
+
9 6 0.000085
|
| 123 |
+
9 7 0.000084
|
| 124 |
+
9 8 0.000084
|
| 125 |
+
9 9 0.000085
|
| 126 |
+
10 0 0.000970
|
| 127 |
+
10 1 0.000574
|
| 128 |
+
10 2 0.000237
|
| 129 |
+
10 3 0.000066
|
| 130 |
+
10 4 0.000121
|
| 131 |
+
10 5 0.000245
|
| 132 |
+
10 6 0.000283
|
| 133 |
+
10 7 0.000236
|
| 134 |
+
10 8 0.000153
|
| 135 |
+
10 9 0.000082
|
xenium_skin_mixed/sample15/log/Apip.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Apip
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 593 0.254407 0.000029 100 false 10 0.000037 0.000030
|
| 13 |
+
1 680 593 0.289543 0.000033 100 false 10 0.000090 0.000054
|
| 14 |
+
2 5552 593 0.587788 0.000017 100 false 10 0.000042 0.000019
|
| 15 |
+
3 3231 593 0.575973 0.000031 100 false 10 0.000035 0.000034
|
| 16 |
+
4 87 593 0.172089 0.000006 100 false 10 0.000168 0.000020
|
| 17 |
+
5 96 593 0.776393 0.000031 100 false 10 0.000050 0.000041
|
| 18 |
+
6 1210 593 0.391849 0.000045 100 false 10 0.000178 0.000106
|
| 19 |
+
7 3 593 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 593 0.825394 0.000068 100 false 10 0.000558 0.000141
|
| 21 |
+
9 332 593 0.833496 0.000013 100 false 10 0.000024 0.000020
|
| 22 |
+
10 82 593 0.240327 0.000017 100 false 10 0.000204 0.000022
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000037
|
| 27 |
+
0 1 0.000032
|
| 28 |
+
0 2 0.000031
|
| 29 |
+
0 3 0.000031
|
| 30 |
+
0 4 0.000032
|
| 31 |
+
0 5 0.000032
|
| 32 |
+
0 6 0.000032
|
| 33 |
+
0 7 0.000031
|
| 34 |
+
0 8 0.000031
|
| 35 |
+
0 9 0.000030
|
| 36 |
+
1 0 0.000090
|
| 37 |
+
1 1 0.000081
|
| 38 |
+
1 2 0.000074
|
| 39 |
+
1 3 0.000068
|
| 40 |
+
1 4 0.000064
|
| 41 |
+
1 5 0.000061
|
| 42 |
+
1 6 0.000059
|
| 43 |
+
1 7 0.000058
|
| 44 |
+
1 8 0.000056
|
| 45 |
+
1 9 0.000054
|
| 46 |
+
2 0 0.000042
|
| 47 |
+
2 1 0.000038
|
| 48 |
+
2 2 0.000034
|
| 49 |
+
2 3 0.000030
|
| 50 |
+
2 4 0.000027
|
| 51 |
+
2 5 0.000025
|
| 52 |
+
2 6 0.000023
|
| 53 |
+
2 7 0.000021
|
| 54 |
+
2 8 0.000020
|
| 55 |
+
2 9 0.000019
|
| 56 |
+
3 0 0.000035
|
| 57 |
+
3 1 0.000035
|
| 58 |
+
3 2 0.000034
|
| 59 |
+
3 3 0.000034
|
| 60 |
+
3 4 0.000034
|
| 61 |
+
3 5 0.000034
|
| 62 |
+
3 6 0.000034
|
| 63 |
+
3 7 0.000034
|
| 64 |
+
3 8 0.000034
|
| 65 |
+
3 9 0.000034
|
| 66 |
+
4 0 0.000168
|
| 67 |
+
4 1 0.000074
|
| 68 |
+
4 2 0.000018
|
| 69 |
+
4 3 0.000010
|
| 70 |
+
4 4 0.000028
|
| 71 |
+
4 5 0.000045
|
| 72 |
+
4 6 0.000051
|
| 73 |
+
4 7 0.000045
|
| 74 |
+
4 8 0.000033
|
| 75 |
+
4 9 0.000020
|
| 76 |
+
5 0 0.000050
|
| 77 |
+
5 1 0.000046
|
| 78 |
+
5 2 0.000043
|
| 79 |
+
5 3 0.000042
|
| 80 |
+
5 4 0.000041
|
| 81 |
+
5 5 0.000041
|
| 82 |
+
5 6 0.000041
|
| 83 |
+
5 7 0.000041
|
| 84 |
+
5 8 0.000041
|
| 85 |
+
5 9 0.000041
|
| 86 |
+
6 0 0.000178
|
| 87 |
+
6 1 0.000169
|
| 88 |
+
6 2 0.000161
|
| 89 |
+
6 3 0.000153
|
| 90 |
+
6 4 0.000146
|
| 91 |
+
6 5 0.000138
|
| 92 |
+
6 6 0.000130
|
| 93 |
+
6 7 0.000122
|
| 94 |
+
6 8 0.000114
|
| 95 |
+
6 9 0.000106
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000558
|
| 107 |
+
8 1 0.000496
|
| 108 |
+
8 2 0.000436
|
| 109 |
+
8 3 0.000378
|
| 110 |
+
8 4 0.000325
|
| 111 |
+
8 5 0.000275
|
| 112 |
+
8 6 0.000232
|
| 113 |
+
8 7 0.000194
|
| 114 |
+
8 8 0.000164
|
| 115 |
+
8 9 0.000141
|
| 116 |
+
9 0 0.000024
|
| 117 |
+
9 1 0.000023
|
| 118 |
+
9 2 0.000023
|
| 119 |
+
9 3 0.000022
|
| 120 |
+
9 4 0.000022
|
| 121 |
+
9 5 0.000021
|
| 122 |
+
9 6 0.000021
|
| 123 |
+
9 7 0.000020
|
| 124 |
+
9 8 0.000020
|
| 125 |
+
9 9 0.000020
|
| 126 |
+
10 0 0.000204
|
| 127 |
+
10 1 0.000083
|
| 128 |
+
10 2 0.000027
|
| 129 |
+
10 3 0.000037
|
| 130 |
+
10 4 0.000066
|
| 131 |
+
10 5 0.000078
|
| 132 |
+
10 6 0.000070
|
| 133 |
+
10 7 0.000052
|
| 134 |
+
10 8 0.000033
|
| 135 |
+
10 9 0.000022
|
xenium_skin_mixed/sample15/log/Arf2.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Arf2
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 622 0.716050 0.000036 100 false 10 0.002111 0.000088
|
| 13 |
+
1 680 622 0.495755 0.000095 100 false 10 0.000380 0.000128
|
| 14 |
+
2 5552 622 0.470201 0.000015 100 false 10 0.000020 0.000017
|
| 15 |
+
3 3231 622 0.738458 0.000036 100 false 10 0.000089 0.000043
|
| 16 |
+
4 87 622 0.216334 0.000028 100 false 10 0.000898 0.000195
|
| 17 |
+
5 96 622 0.916985 0.000014 100 false 10 0.000032 0.000024
|
| 18 |
+
6 1210 622 0.695824 0.000070 100 false 10 0.000093 0.000075
|
| 19 |
+
7 3 622 0.202069 0.000001 100 false 10 0.000270 0.000019
|
| 20 |
+
8 448 622 0.763401 0.000072 100 false 10 0.000105 0.000084
|
| 21 |
+
9 332 622 0.637539 0.000032 100 false 10 0.000062 0.000041
|
| 22 |
+
10 82 622 0.770210 0.000019 100 false 10 0.002120 0.000271
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.002111
|
| 27 |
+
0 1 0.001922
|
| 28 |
+
0 2 0.001729
|
| 29 |
+
0 3 0.001520
|
| 30 |
+
0 4 0.001288
|
| 31 |
+
0 5 0.001028
|
| 32 |
+
0 6 0.000744
|
| 33 |
+
0 7 0.000455
|
| 34 |
+
0 8 0.000211
|
| 35 |
+
0 9 0.000088
|
| 36 |
+
1 0 0.000380
|
| 37 |
+
1 1 0.000322
|
| 38 |
+
1 2 0.000271
|
| 39 |
+
1 3 0.000227
|
| 40 |
+
1 4 0.000192
|
| 41 |
+
1 5 0.000164
|
| 42 |
+
1 6 0.000144
|
| 43 |
+
1 7 0.000131
|
| 44 |
+
1 8 0.000126
|
| 45 |
+
1 9 0.000128
|
| 46 |
+
2 0 0.000020
|
| 47 |
+
2 1 0.000019
|
| 48 |
+
2 2 0.000018
|
| 49 |
+
2 3 0.000018
|
| 50 |
+
2 4 0.000018
|
| 51 |
+
2 5 0.000017
|
| 52 |
+
2 6 0.000017
|
| 53 |
+
2 7 0.000017
|
| 54 |
+
2 8 0.000017
|
| 55 |
+
2 9 0.000017
|
| 56 |
+
3 0 0.000089
|
| 57 |
+
3 1 0.000080
|
| 58 |
+
3 2 0.000072
|
| 59 |
+
3 3 0.000065
|
| 60 |
+
3 4 0.000059
|
| 61 |
+
3 5 0.000054
|
| 62 |
+
3 6 0.000050
|
| 63 |
+
3 7 0.000047
|
| 64 |
+
3 8 0.000045
|
| 65 |
+
3 9 0.000043
|
| 66 |
+
4 0 0.000898
|
| 67 |
+
4 1 0.000623
|
| 68 |
+
4 2 0.000349
|
| 69 |
+
4 3 0.000129
|
| 70 |
+
4 4 0.000036
|
| 71 |
+
4 5 0.000084
|
| 72 |
+
4 6 0.000177
|
| 73 |
+
4 7 0.000232
|
| 74 |
+
4 8 0.000234
|
| 75 |
+
4 9 0.000195
|
| 76 |
+
5 0 0.000032
|
| 77 |
+
5 1 0.000031
|
| 78 |
+
5 2 0.000030
|
| 79 |
+
5 3 0.000029
|
| 80 |
+
5 4 0.000028
|
| 81 |
+
5 5 0.000027
|
| 82 |
+
5 6 0.000027
|
| 83 |
+
5 7 0.000026
|
| 84 |
+
5 8 0.000025
|
| 85 |
+
5 9 0.000024
|
| 86 |
+
6 0 0.000093
|
| 87 |
+
6 1 0.000085
|
| 88 |
+
6 2 0.000079
|
| 89 |
+
6 3 0.000076
|
| 90 |
+
6 4 0.000075
|
| 91 |
+
6 5 0.000074
|
| 92 |
+
6 6 0.000075
|
| 93 |
+
6 7 0.000075
|
| 94 |
+
6 8 0.000075
|
| 95 |
+
6 9 0.000075
|
| 96 |
+
7 0 0.000270
|
| 97 |
+
7 1 0.000218
|
| 98 |
+
7 2 0.000164
|
| 99 |
+
7 3 0.000112
|
| 100 |
+
7 4 0.000065
|
| 101 |
+
7 5 0.000029
|
| 102 |
+
7 6 0.000008
|
| 103 |
+
7 7 0.000002
|
| 104 |
+
7 8 0.000008
|
| 105 |
+
7 9 0.000019
|
| 106 |
+
8 0 0.000105
|
| 107 |
+
8 1 0.000094
|
| 108 |
+
8 2 0.000090
|
| 109 |
+
8 3 0.000088
|
| 110 |
+
8 4 0.000087
|
| 111 |
+
8 5 0.000087
|
| 112 |
+
8 6 0.000088
|
| 113 |
+
8 7 0.000087
|
| 114 |
+
8 8 0.000086
|
| 115 |
+
8 9 0.000084
|
| 116 |
+
9 0 0.000062
|
| 117 |
+
9 1 0.000053
|
| 118 |
+
9 2 0.000046
|
| 119 |
+
9 3 0.000043
|
| 120 |
+
9 4 0.000041
|
| 121 |
+
9 5 0.000040
|
| 122 |
+
9 6 0.000040
|
| 123 |
+
9 7 0.000041
|
| 124 |
+
9 8 0.000041
|
| 125 |
+
9 9 0.000041
|
| 126 |
+
10 0 0.002120
|
| 127 |
+
10 1 0.001440
|
| 128 |
+
10 2 0.000806
|
| 129 |
+
10 3 0.000328
|
| 130 |
+
10 4 0.000182
|
| 131 |
+
10 5 0.000378
|
| 132 |
+
10 6 0.000565
|
| 133 |
+
10 7 0.000568
|
| 134 |
+
10 8 0.000436
|
| 135 |
+
10 9 0.000271
|
xenium_skin_mixed/sample15/log/Arhgap17.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Arhgap17
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 619 0.677262 0.000031 100 false 10 0.000229 0.000058
|
| 13 |
+
1 680 619 0.536864 0.000073 100 false 10 0.000246 0.000127
|
| 14 |
+
2 5552 619 0.668438 0.000037 100 false 10 0.000094 0.000050
|
| 15 |
+
3 3231 619 0.452281 0.000031 100 false 10 0.000034 0.000034
|
| 16 |
+
4 87 619 0.498580 0.000014 100 false 10 0.001153 0.000220
|
| 17 |
+
5 96 619 0.182201 0.000041 100 false 10 0.000132 0.000057
|
| 18 |
+
6 1210 619 0.680273 0.000088 100 false 10 0.000365 0.000110
|
| 19 |
+
7 3 619 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 619 0.795647 0.000017 100 false 10 0.000037 0.000026
|
| 21 |
+
9 332 619 0.744558 0.000029 100 false 10 0.000039 0.000035
|
| 22 |
+
10 82 619 0.430849 0.000029 100 false 10 0.000050 0.000035
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000229
|
| 27 |
+
0 1 0.000170
|
| 28 |
+
0 2 0.000122
|
| 29 |
+
0 3 0.000085
|
| 30 |
+
0 4 0.000060
|
| 31 |
+
0 5 0.000047
|
| 32 |
+
0 6 0.000043
|
| 33 |
+
0 7 0.000045
|
| 34 |
+
0 8 0.000051
|
| 35 |
+
0 9 0.000058
|
| 36 |
+
1 0 0.000246
|
| 37 |
+
1 1 0.000174
|
| 38 |
+
1 2 0.000130
|
| 39 |
+
1 3 0.000114
|
| 40 |
+
1 4 0.000116
|
| 41 |
+
1 5 0.000127
|
| 42 |
+
1 6 0.000135
|
| 43 |
+
1 7 0.000138
|
| 44 |
+
1 8 0.000134
|
| 45 |
+
1 9 0.000127
|
| 46 |
+
2 0 0.000094
|
| 47 |
+
2 1 0.000075
|
| 48 |
+
2 2 0.000062
|
| 49 |
+
2 3 0.000054
|
| 50 |
+
2 4 0.000051
|
| 51 |
+
2 5 0.000051
|
| 52 |
+
2 6 0.000051
|
| 53 |
+
2 7 0.000052
|
| 54 |
+
2 8 0.000051
|
| 55 |
+
2 9 0.000050
|
| 56 |
+
3 0 0.000034
|
| 57 |
+
3 1 0.000034
|
| 58 |
+
3 2 0.000034
|
| 59 |
+
3 3 0.000034
|
| 60 |
+
3 4 0.000034
|
| 61 |
+
3 5 0.000034
|
| 62 |
+
3 6 0.000034
|
| 63 |
+
3 7 0.000034
|
| 64 |
+
3 8 0.000034
|
| 65 |
+
3 9 0.000034
|
| 66 |
+
4 0 0.001153
|
| 67 |
+
4 1 0.001023
|
| 68 |
+
4 2 0.000898
|
| 69 |
+
4 3 0.000781
|
| 70 |
+
4 4 0.000669
|
| 71 |
+
4 5 0.000565
|
| 72 |
+
4 6 0.000467
|
| 73 |
+
4 7 0.000376
|
| 74 |
+
4 8 0.000293
|
| 75 |
+
4 9 0.000220
|
| 76 |
+
5 0 0.000132
|
| 77 |
+
5 1 0.000121
|
| 78 |
+
5 2 0.000110
|
| 79 |
+
5 3 0.000100
|
| 80 |
+
5 4 0.000090
|
| 81 |
+
5 5 0.000081
|
| 82 |
+
5 6 0.000074
|
| 83 |
+
5 7 0.000067
|
| 84 |
+
5 8 0.000061
|
| 85 |
+
5 9 0.000057
|
| 86 |
+
6 0 0.000365
|
| 87 |
+
6 1 0.000308
|
| 88 |
+
6 2 0.000259
|
| 89 |
+
6 3 0.000218
|
| 90 |
+
6 4 0.000185
|
| 91 |
+
6 5 0.000159
|
| 92 |
+
6 6 0.000139
|
| 93 |
+
6 7 0.000125
|
| 94 |
+
6 8 0.000116
|
| 95 |
+
6 9 0.000110
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000037
|
| 107 |
+
8 1 0.000036
|
| 108 |
+
8 2 0.000034
|
| 109 |
+
8 3 0.000032
|
| 110 |
+
8 4 0.000031
|
| 111 |
+
8 5 0.000030
|
| 112 |
+
8 6 0.000029
|
| 113 |
+
8 7 0.000028
|
| 114 |
+
8 8 0.000027
|
| 115 |
+
8 9 0.000026
|
| 116 |
+
9 0 0.000039
|
| 117 |
+
9 1 0.000038
|
| 118 |
+
9 2 0.000037
|
| 119 |
+
9 3 0.000036
|
| 120 |
+
9 4 0.000035
|
| 121 |
+
9 5 0.000035
|
| 122 |
+
9 6 0.000035
|
| 123 |
+
9 7 0.000035
|
| 124 |
+
9 8 0.000035
|
| 125 |
+
9 9 0.000035
|
| 126 |
+
10 0 0.000050
|
| 127 |
+
10 1 0.000034
|
| 128 |
+
10 2 0.000040
|
| 129 |
+
10 3 0.000041
|
| 130 |
+
10 4 0.000037
|
| 131 |
+
10 5 0.000034
|
| 132 |
+
10 6 0.000034
|
| 133 |
+
10 7 0.000035
|
| 134 |
+
10 8 0.000036
|
| 135 |
+
10 9 0.000035
|
xenium_skin_mixed/sample15/log/Arhgap35.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Arhgap35
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 639 0.619625 0.000014 100 false 10 0.000123 0.000031
|
| 13 |
+
1 680 639 0.489368 0.000055 100 false 10 0.000613 0.000096
|
| 14 |
+
2 5552 639 0.822961 0.000081 100 false 10 0.000491 0.000139
|
| 15 |
+
3 3231 639 0.792627 0.000065 100 false 10 0.000123 0.000079
|
| 16 |
+
4 87 639 0.493472 0.000015 100 false 10 0.000062 0.000020
|
| 17 |
+
5 96 639 0.875215 0.000051 100 false 10 0.000175 0.000066
|
| 18 |
+
6 1210 639 0.286222 0.000034 100 false 10 0.000045 0.000037
|
| 19 |
+
7 3 639 0.247185 0.000125 100 false 10 0.000177 0.000067
|
| 20 |
+
8 448 639 0.847767 0.000054 100 false 10 0.000099 0.000067
|
| 21 |
+
9 332 639 0.797181 0.000091 100 false 10 0.000554 0.000134
|
| 22 |
+
10 82 639 0.396063 0.000017 100 false 10 0.000084 0.000031
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000123
|
| 27 |
+
0 1 0.000080
|
| 28 |
+
0 2 0.000051
|
| 29 |
+
0 3 0.000034
|
| 30 |
+
0 4 0.000025
|
| 31 |
+
0 5 0.000022
|
| 32 |
+
0 6 0.000023
|
| 33 |
+
0 7 0.000025
|
| 34 |
+
0 8 0.000028
|
| 35 |
+
0 9 0.000031
|
| 36 |
+
1 0 0.000613
|
| 37 |
+
1 1 0.000483
|
| 38 |
+
1 2 0.000360
|
| 39 |
+
1 3 0.000257
|
| 40 |
+
1 4 0.000183
|
| 41 |
+
1 5 0.000136
|
| 42 |
+
1 6 0.000111
|
| 43 |
+
1 7 0.000100
|
| 44 |
+
1 8 0.000096
|
| 45 |
+
1 9 0.000096
|
| 46 |
+
2 0 0.000491
|
| 47 |
+
2 1 0.000379
|
| 48 |
+
2 2 0.000283
|
| 49 |
+
2 3 0.000206
|
| 50 |
+
2 4 0.000152
|
| 51 |
+
2 5 0.000120
|
| 52 |
+
2 6 0.000109
|
| 53 |
+
2 7 0.000113
|
| 54 |
+
2 8 0.000125
|
| 55 |
+
2 9 0.000139
|
| 56 |
+
3 0 0.000123
|
| 57 |
+
3 1 0.000103
|
| 58 |
+
3 2 0.000088
|
| 59 |
+
3 3 0.000078
|
| 60 |
+
3 4 0.000073
|
| 61 |
+
3 5 0.000072
|
| 62 |
+
3 6 0.000074
|
| 63 |
+
3 7 0.000076
|
| 64 |
+
3 8 0.000078
|
| 65 |
+
3 9 0.000079
|
| 66 |
+
4 0 0.000062
|
| 67 |
+
4 1 0.000029
|
| 68 |
+
4 2 0.000022
|
| 69 |
+
4 3 0.000028
|
| 70 |
+
4 4 0.000033
|
| 71 |
+
4 5 0.000034
|
| 72 |
+
4 6 0.000031
|
| 73 |
+
4 7 0.000026
|
| 74 |
+
4 8 0.000022
|
| 75 |
+
4 9 0.000020
|
| 76 |
+
5 0 0.000175
|
| 77 |
+
5 1 0.000156
|
| 78 |
+
5 2 0.000138
|
| 79 |
+
5 3 0.000123
|
| 80 |
+
5 4 0.000108
|
| 81 |
+
5 5 0.000096
|
| 82 |
+
5 6 0.000086
|
| 83 |
+
5 7 0.000077
|
| 84 |
+
5 8 0.000071
|
| 85 |
+
5 9 0.000066
|
| 86 |
+
6 0 0.000045
|
| 87 |
+
6 1 0.000044
|
| 88 |
+
6 2 0.000042
|
| 89 |
+
6 3 0.000041
|
| 90 |
+
6 4 0.000040
|
| 91 |
+
6 5 0.000039
|
| 92 |
+
6 6 0.000038
|
| 93 |
+
6 7 0.000038
|
| 94 |
+
6 8 0.000037
|
| 95 |
+
6 9 0.000037
|
| 96 |
+
7 0 0.000177
|
| 97 |
+
7 1 0.000144
|
| 98 |
+
7 2 0.000136
|
| 99 |
+
7 3 0.000128
|
| 100 |
+
7 4 0.000114
|
| 101 |
+
7 5 0.000099
|
| 102 |
+
7 6 0.000088
|
| 103 |
+
7 7 0.000080
|
| 104 |
+
7 8 0.000074
|
| 105 |
+
7 9 0.000067
|
| 106 |
+
8 0 0.000099
|
| 107 |
+
8 1 0.000088
|
| 108 |
+
8 2 0.000081
|
| 109 |
+
8 3 0.000075
|
| 110 |
+
8 4 0.000071
|
| 111 |
+
8 5 0.000068
|
| 112 |
+
8 6 0.000067
|
| 113 |
+
8 7 0.000067
|
| 114 |
+
8 8 0.000067
|
| 115 |
+
8 9 0.000067
|
| 116 |
+
9 0 0.000554
|
| 117 |
+
9 1 0.000476
|
| 118 |
+
9 2 0.000405
|
| 119 |
+
9 3 0.000341
|
| 120 |
+
9 4 0.000285
|
| 121 |
+
9 5 0.000238
|
| 122 |
+
9 6 0.000200
|
| 123 |
+
9 7 0.000170
|
| 124 |
+
9 8 0.000149
|
| 125 |
+
9 9 0.000134
|
| 126 |
+
10 0 0.000084
|
| 127 |
+
10 1 0.000056
|
| 128 |
+
10 2 0.000036
|
| 129 |
+
10 3 0.000025
|
| 130 |
+
10 4 0.000021
|
| 131 |
+
10 5 0.000022
|
| 132 |
+
10 6 0.000025
|
| 133 |
+
10 7 0.000029
|
| 134 |
+
10 8 0.000031
|
| 135 |
+
10 9 0.000031
|
xenium_skin_mixed/sample15/log/Arhgef3.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Arhgef3
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 689 0.727553 0.000031 100 false 10 0.000115 0.000056
|
| 13 |
+
1 680 689 0.773274 0.000174 100 false 10 0.002185 0.000316
|
| 14 |
+
2 5552 689 0.938801 0.000054 100 false 10 0.000725 0.000257
|
| 15 |
+
3 3231 689 0.627132 0.000085 100 false 10 0.000183 0.000119
|
| 16 |
+
4 87 689 0.665278 0.000013 100 false 10 0.000193 0.000020
|
| 17 |
+
5 96 689 0.727774 0.000043 100 false 10 0.000173 0.000065
|
| 18 |
+
6 1210 689 0.890587 0.000555 100 false 10 0.001135 0.000667
|
| 19 |
+
7 3 689 0.275639 0.000121 100 false 10 0.000357 0.000083
|
| 20 |
+
8 448 689 0.846939 0.000030 100 false 10 0.000059 0.000041
|
| 21 |
+
9 332 689 0.890030 0.000032 100 false 10 0.000536 0.000128
|
| 22 |
+
10 82 689 0.660882 0.000052 100 false 10 0.003626 0.000815
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000115
|
| 27 |
+
0 1 0.000050
|
| 28 |
+
0 2 0.000060
|
| 29 |
+
0 3 0.000076
|
| 30 |
+
0 4 0.000073
|
| 31 |
+
0 5 0.000059
|
| 32 |
+
0 6 0.000047
|
| 33 |
+
0 7 0.000045
|
| 34 |
+
0 8 0.000050
|
| 35 |
+
0 9 0.000056
|
| 36 |
+
1 0 0.002185
|
| 37 |
+
1 1 0.001783
|
| 38 |
+
1 2 0.001427
|
| 39 |
+
1 3 0.001126
|
| 40 |
+
1 4 0.000883
|
| 41 |
+
1 5 0.000691
|
| 42 |
+
1 6 0.000542
|
| 43 |
+
1 7 0.000431
|
| 44 |
+
1 8 0.000356
|
| 45 |
+
1 9 0.000316
|
| 46 |
+
2 0 0.000725
|
| 47 |
+
2 1 0.000564
|
| 48 |
+
2 2 0.000425
|
| 49 |
+
2 3 0.000315
|
| 50 |
+
2 4 0.000244
|
| 51 |
+
2 5 0.000214
|
| 52 |
+
2 6 0.000217
|
| 53 |
+
2 7 0.000235
|
| 54 |
+
2 8 0.000252
|
| 55 |
+
2 9 0.000257
|
| 56 |
+
3 0 0.000183
|
| 57 |
+
3 1 0.000159
|
| 58 |
+
3 2 0.000139
|
| 59 |
+
3 3 0.000124
|
| 60 |
+
3 4 0.000115
|
| 61 |
+
3 5 0.000111
|
| 62 |
+
3 6 0.000113
|
| 63 |
+
3 7 0.000116
|
| 64 |
+
3 8 0.000119
|
| 65 |
+
3 9 0.000119
|
| 66 |
+
4 0 0.000193
|
| 67 |
+
4 1 0.000145
|
| 68 |
+
4 2 0.000104
|
| 69 |
+
4 3 0.000071
|
| 70 |
+
4 4 0.000045
|
| 71 |
+
4 5 0.000027
|
| 72 |
+
4 6 0.000017
|
| 73 |
+
4 7 0.000014
|
| 74 |
+
4 8 0.000015
|
| 75 |
+
4 9 0.000020
|
| 76 |
+
5 0 0.000173
|
| 77 |
+
5 1 0.000117
|
| 78 |
+
5 2 0.000081
|
| 79 |
+
5 3 0.000066
|
| 80 |
+
5 4 0.000069
|
| 81 |
+
5 5 0.000077
|
| 82 |
+
5 6 0.000082
|
| 83 |
+
5 7 0.000080
|
| 84 |
+
5 8 0.000073
|
| 85 |
+
5 9 0.000065
|
| 86 |
+
6 0 0.001135
|
| 87 |
+
6 1 0.000943
|
| 88 |
+
6 2 0.000814
|
| 89 |
+
6 3 0.000736
|
| 90 |
+
6 4 0.000697
|
| 91 |
+
6 5 0.000683
|
| 92 |
+
6 6 0.000681
|
| 93 |
+
6 7 0.000680
|
| 94 |
+
6 8 0.000677
|
| 95 |
+
6 9 0.000667
|
| 96 |
+
7 0 0.000357
|
| 97 |
+
7 1 0.000239
|
| 98 |
+
7 2 0.000164
|
| 99 |
+
7 3 0.000139
|
| 100 |
+
7 4 0.000140
|
| 101 |
+
7 5 0.000141
|
| 102 |
+
7 6 0.000134
|
| 103 |
+
7 7 0.000119
|
| 104 |
+
7 8 0.000101
|
| 105 |
+
7 9 0.000083
|
| 106 |
+
8 0 0.000059
|
| 107 |
+
8 1 0.000056
|
| 108 |
+
8 2 0.000053
|
| 109 |
+
8 3 0.000051
|
| 110 |
+
8 4 0.000049
|
| 111 |
+
8 5 0.000047
|
| 112 |
+
8 6 0.000045
|
| 113 |
+
8 7 0.000044
|
| 114 |
+
8 8 0.000042
|
| 115 |
+
8 9 0.000041
|
| 116 |
+
9 0 0.000536
|
| 117 |
+
9 1 0.000449
|
| 118 |
+
9 2 0.000360
|
| 119 |
+
9 3 0.000272
|
| 120 |
+
9 4 0.000190
|
| 121 |
+
9 5 0.000122
|
| 122 |
+
9 6 0.000082
|
| 123 |
+
9 7 0.000075
|
| 124 |
+
9 8 0.000098
|
| 125 |
+
9 9 0.000128
|
| 126 |
+
10 0 0.003626
|
| 127 |
+
10 1 0.002676
|
| 128 |
+
10 2 0.001674
|
| 129 |
+
10 3 0.000751
|
| 130 |
+
10 4 0.000163
|
| 131 |
+
10 5 0.000131
|
| 132 |
+
10 6 0.000455
|
| 133 |
+
10 7 0.000745
|
| 134 |
+
10 8 0.000861
|
| 135 |
+
10 9 0.000815
|
xenium_skin_mixed/sample15/log/Arl13b.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Arl13b
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 591 0.548357 0.000040 100 false 10 0.002269 0.000478
|
| 13 |
+
1 680 591 0.531943 0.000088 100 false 10 0.000102 0.000090
|
| 14 |
+
2 5552 591 0.820196 0.000185 100 false 10 0.000307 0.000239
|
| 15 |
+
3 3231 591 0.510603 0.000166 100 false 10 0.000209 0.000167
|
| 16 |
+
4 87 591 0.156170 0.000049 100 false 10 0.000279 0.000074
|
| 17 |
+
5 96 591 0.753114 0.000053 100 false 10 0.000496 0.000214
|
| 18 |
+
6 1210 591 0.332629 0.000051 100 false 10 0.000327 0.000074
|
| 19 |
+
7 3 591 0.000000 0.000000 26 true 10 0.000010 0.000000
|
| 20 |
+
8 448 591 0.679106 0.000071 100 false 10 0.000136 0.000087
|
| 21 |
+
9 332 591 0.647296 0.000052 100 false 10 0.000127 0.000075
|
| 22 |
+
10 82 591 0.228347 0.000021 100 false 10 0.000242 0.000032
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.002269
|
| 27 |
+
0 1 0.002010
|
| 28 |
+
0 2 0.001742
|
| 29 |
+
0 3 0.001477
|
| 30 |
+
0 4 0.001228
|
| 31 |
+
0 5 0.001010
|
| 32 |
+
0 6 0.000830
|
| 33 |
+
0 7 0.000685
|
| 34 |
+
0 8 0.000570
|
| 35 |
+
0 9 0.000478
|
| 36 |
+
1 0 0.000102
|
| 37 |
+
1 1 0.000099
|
| 38 |
+
1 2 0.000097
|
| 39 |
+
1 3 0.000096
|
| 40 |
+
1 4 0.000094
|
| 41 |
+
1 5 0.000093
|
| 42 |
+
1 6 0.000092
|
| 43 |
+
1 7 0.000091
|
| 44 |
+
1 8 0.000091
|
| 45 |
+
1 9 0.000090
|
| 46 |
+
2 0 0.000307
|
| 47 |
+
2 1 0.000255
|
| 48 |
+
2 2 0.000283
|
| 49 |
+
2 3 0.000274
|
| 50 |
+
2 4 0.000252
|
| 51 |
+
2 5 0.000245
|
| 52 |
+
2 6 0.000254
|
| 53 |
+
2 7 0.000257
|
| 54 |
+
2 8 0.000250
|
| 55 |
+
2 9 0.000239
|
| 56 |
+
3 0 0.000209
|
| 57 |
+
3 1 0.000195
|
| 58 |
+
3 2 0.000185
|
| 59 |
+
3 3 0.000178
|
| 60 |
+
3 4 0.000173
|
| 61 |
+
3 5 0.000170
|
| 62 |
+
3 6 0.000168
|
| 63 |
+
3 7 0.000167
|
| 64 |
+
3 8 0.000167
|
| 65 |
+
3 9 0.000167
|
| 66 |
+
4 0 0.000279
|
| 67 |
+
4 1 0.000077
|
| 68 |
+
4 2 0.000071
|
| 69 |
+
4 3 0.000128
|
| 70 |
+
4 4 0.000145
|
| 71 |
+
4 5 0.000121
|
| 72 |
+
4 6 0.000083
|
| 73 |
+
4 7 0.000058
|
| 74 |
+
4 8 0.000057
|
| 75 |
+
4 9 0.000074
|
| 76 |
+
5 0 0.000496
|
| 77 |
+
5 1 0.000462
|
| 78 |
+
5 2 0.000430
|
| 79 |
+
5 3 0.000399
|
| 80 |
+
5 4 0.000367
|
| 81 |
+
5 5 0.000337
|
| 82 |
+
5 6 0.000307
|
| 83 |
+
5 7 0.000277
|
| 84 |
+
5 8 0.000246
|
| 85 |
+
5 9 0.000214
|
| 86 |
+
6 0 0.000327
|
| 87 |
+
6 1 0.000249
|
| 88 |
+
6 2 0.000181
|
| 89 |
+
6 3 0.000127
|
| 90 |
+
6 4 0.000089
|
| 91 |
+
6 5 0.000068
|
| 92 |
+
6 6 0.000060
|
| 93 |
+
6 7 0.000061
|
| 94 |
+
6 8 0.000067
|
| 95 |
+
6 9 0.000074
|
| 96 |
+
7 0 0.000010
|
| 97 |
+
7 1 0.000003
|
| 98 |
+
7 2 0.000001
|
| 99 |
+
7 3 0.000002
|
| 100 |
+
7 4 0.000003
|
| 101 |
+
7 5 0.000003
|
| 102 |
+
7 6 0.000002
|
| 103 |
+
7 7 0.000001
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000136
|
| 107 |
+
8 1 0.000125
|
| 108 |
+
8 2 0.000116
|
| 109 |
+
8 3 0.000108
|
| 110 |
+
8 4 0.000101
|
| 111 |
+
8 5 0.000096
|
| 112 |
+
8 6 0.000092
|
| 113 |
+
8 7 0.000089
|
| 114 |
+
8 8 0.000088
|
| 115 |
+
8 9 0.000087
|
| 116 |
+
9 0 0.000127
|
| 117 |
+
9 1 0.000119
|
| 118 |
+
9 2 0.000112
|
| 119 |
+
9 3 0.000105
|
| 120 |
+
9 4 0.000098
|
| 121 |
+
9 5 0.000093
|
| 122 |
+
9 6 0.000087
|
| 123 |
+
9 7 0.000083
|
| 124 |
+
9 8 0.000078
|
| 125 |
+
9 9 0.000075
|
| 126 |
+
10 0 0.000242
|
| 127 |
+
10 1 0.000125
|
| 128 |
+
10 2 0.000048
|
| 129 |
+
10 3 0.000025
|
| 130 |
+
10 4 0.000046
|
| 131 |
+
10 5 0.000074
|
| 132 |
+
10 6 0.000080
|
| 133 |
+
10 7 0.000068
|
| 134 |
+
10 8 0.000048
|
| 135 |
+
10 9 0.000032
|
xenium_skin_mixed/sample15/log/Asap1.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Asap1
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 650 0.731733 0.000339 100 false 10 0.046171 0.017456
|
| 13 |
+
1 680 650 0.740609 0.000135 100 false 10 0.002395 0.000463
|
| 14 |
+
2 5552 650 0.885157 0.000095 100 false 10 0.000305 0.000167
|
| 15 |
+
3 3231 650 0.776099 0.000426 100 false 10 0.000635 0.000480
|
| 16 |
+
4 87 650 0.249994 0.000062 100 false 10 0.000720 0.000134
|
| 17 |
+
5 96 650 0.866564 0.000148 100 false 10 0.000213 0.000163
|
| 18 |
+
6 1210 650 0.832421 0.000196 100 false 10 0.000382 0.000243
|
| 19 |
+
7 3 650 0.255480 0.000046 100 false 10 0.000633 0.000116
|
| 20 |
+
8 448 650 0.928781 0.000104 100 false 10 0.000407 0.000150
|
| 21 |
+
9 332 650 0.771800 0.000038 100 false 10 0.000083 0.000053
|
| 22 |
+
10 82 650 0.441142 0.000053 100 false 10 0.003182 0.000645
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.046171
|
| 27 |
+
0 1 0.043387
|
| 28 |
+
0 2 0.040547
|
| 29 |
+
0 3 0.037636
|
| 30 |
+
0 4 0.034623
|
| 31 |
+
0 5 0.031486
|
| 32 |
+
0 6 0.028198
|
| 33 |
+
0 7 0.024743
|
| 34 |
+
0 8 0.021132
|
| 35 |
+
0 9 0.017456
|
| 36 |
+
1 0 0.002395
|
| 37 |
+
1 1 0.001633
|
| 38 |
+
1 2 0.000941
|
| 39 |
+
1 3 0.000427
|
| 40 |
+
1 4 0.000221
|
| 41 |
+
1 5 0.000346
|
| 42 |
+
1 6 0.000574
|
| 43 |
+
1 7 0.000672
|
| 44 |
+
1 8 0.000612
|
| 45 |
+
1 9 0.000463
|
| 46 |
+
2 0 0.000305
|
| 47 |
+
2 1 0.000219
|
| 48 |
+
2 2 0.000174
|
| 49 |
+
2 3 0.000159
|
| 50 |
+
2 4 0.000162
|
| 51 |
+
2 5 0.000169
|
| 52 |
+
2 6 0.000175
|
| 53 |
+
2 7 0.000176
|
| 54 |
+
2 8 0.000173
|
| 55 |
+
2 9 0.000167
|
| 56 |
+
3 0 0.000635
|
| 57 |
+
3 1 0.000566
|
| 58 |
+
3 2 0.000513
|
| 59 |
+
3 3 0.000478
|
| 60 |
+
3 4 0.000459
|
| 61 |
+
3 5 0.000456
|
| 62 |
+
3 6 0.000461
|
| 63 |
+
3 7 0.000470
|
| 64 |
+
3 8 0.000477
|
| 65 |
+
3 9 0.000480
|
| 66 |
+
4 0 0.000720
|
| 67 |
+
4 1 0.000197
|
| 68 |
+
4 2 0.000129
|
| 69 |
+
4 3 0.000278
|
| 70 |
+
4 4 0.000336
|
| 71 |
+
4 5 0.000271
|
| 72 |
+
4 6 0.000165
|
| 73 |
+
4 7 0.000094
|
| 74 |
+
4 8 0.000091
|
| 75 |
+
4 9 0.000134
|
| 76 |
+
5 0 0.000213
|
| 77 |
+
5 1 0.000204
|
| 78 |
+
5 2 0.000197
|
| 79 |
+
5 3 0.000191
|
| 80 |
+
5 4 0.000184
|
| 81 |
+
5 5 0.000179
|
| 82 |
+
5 6 0.000174
|
| 83 |
+
5 7 0.000170
|
| 84 |
+
5 8 0.000167
|
| 85 |
+
5 9 0.000163
|
| 86 |
+
6 0 0.000382
|
| 87 |
+
6 1 0.000300
|
| 88 |
+
6 2 0.000251
|
| 89 |
+
6 3 0.000229
|
| 90 |
+
6 4 0.000227
|
| 91 |
+
6 5 0.000234
|
| 92 |
+
6 6 0.000244
|
| 93 |
+
6 7 0.000249
|
| 94 |
+
6 8 0.000248
|
| 95 |
+
6 9 0.000243
|
| 96 |
+
7 0 0.000633
|
| 97 |
+
7 1 0.000426
|
| 98 |
+
7 2 0.000249
|
| 99 |
+
7 3 0.000125
|
| 100 |
+
7 4 0.000063
|
| 101 |
+
7 5 0.000054
|
| 102 |
+
7 6 0.000074
|
| 103 |
+
7 7 0.000100
|
| 104 |
+
7 8 0.000115
|
| 105 |
+
7 9 0.000116
|
| 106 |
+
8 0 0.000407
|
| 107 |
+
8 1 0.000361
|
| 108 |
+
8 2 0.000319
|
| 109 |
+
8 3 0.000281
|
| 110 |
+
8 4 0.000248
|
| 111 |
+
8 5 0.000220
|
| 112 |
+
8 6 0.000196
|
| 113 |
+
8 7 0.000177
|
| 114 |
+
8 8 0.000161
|
| 115 |
+
8 9 0.000150
|
| 116 |
+
9 0 0.000083
|
| 117 |
+
9 1 0.000076
|
| 118 |
+
9 2 0.000070
|
| 119 |
+
9 3 0.000064
|
| 120 |
+
9 4 0.000060
|
| 121 |
+
9 5 0.000057
|
| 122 |
+
9 6 0.000055
|
| 123 |
+
9 7 0.000054
|
| 124 |
+
9 8 0.000053
|
| 125 |
+
9 9 0.000053
|
| 126 |
+
10 0 0.003182
|
| 127 |
+
10 1 0.001852
|
| 128 |
+
10 2 0.000874
|
| 129 |
+
10 3 0.000307
|
| 130 |
+
10 4 0.000118
|
| 131 |
+
10 5 0.000179
|
| 132 |
+
10 6 0.000341
|
| 133 |
+
10 7 0.000500
|
| 134 |
+
10 8 0.000606
|
| 135 |
+
10 9 0.000645
|
xenium_skin_mixed/sample15/log/Atf6b.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Atf6b
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 643 0.519702 0.000065 100 false 10 0.000509 0.000193
|
| 13 |
+
1 680 643 0.579572 0.000073 100 false 10 0.001429 0.000336
|
| 14 |
+
2 5552 643 0.833629 0.000121 100 false 10 0.000165 0.000148
|
| 15 |
+
3 3231 643 0.690855 0.000062 100 false 10 0.000067 0.000065
|
| 16 |
+
4 87 643 0.148867 0.000036 100 false 10 0.015881 0.006661
|
| 17 |
+
5 96 643 0.571386 0.000087 100 false 10 0.000148 0.000093
|
| 18 |
+
6 1210 643 0.712360 0.000102 100 false 10 0.000104 0.000101
|
| 19 |
+
7 3 643 0.216960 0.000033 100 false 10 0.002601 0.000118
|
| 20 |
+
8 448 643 0.589355 0.000039 100 false 10 0.000054 0.000046
|
| 21 |
+
9 332 643 0.806445 0.000047 100 false 10 0.000076 0.000068
|
| 22 |
+
10 82 643 0.680410 0.000041 100 false 10 0.000742 0.000066
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000509
|
| 27 |
+
0 1 0.000343
|
| 28 |
+
0 2 0.000423
|
| 29 |
+
0 3 0.000366
|
| 30 |
+
0 4 0.000279
|
| 31 |
+
0 5 0.000259
|
| 32 |
+
0 6 0.000283
|
| 33 |
+
0 7 0.000275
|
| 34 |
+
0 8 0.000231
|
| 35 |
+
0 9 0.000193
|
| 36 |
+
1 0 0.001429
|
| 37 |
+
1 1 0.001088
|
| 38 |
+
1 2 0.000762
|
| 39 |
+
1 3 0.000477
|
| 40 |
+
1 4 0.000268
|
| 41 |
+
1 5 0.000178
|
| 42 |
+
1 6 0.000211
|
| 43 |
+
1 7 0.000298
|
| 44 |
+
1 8 0.000349
|
| 45 |
+
1 9 0.000336
|
| 46 |
+
2 0 0.000165
|
| 47 |
+
2 1 0.000165
|
| 48 |
+
2 2 0.000161
|
| 49 |
+
2 3 0.000157
|
| 50 |
+
2 4 0.000156
|
| 51 |
+
2 5 0.000155
|
| 52 |
+
2 6 0.000152
|
| 53 |
+
2 7 0.000150
|
| 54 |
+
2 8 0.000149
|
| 55 |
+
2 9 0.000148
|
| 56 |
+
3 0 0.000067
|
| 57 |
+
3 1 0.000066
|
| 58 |
+
3 2 0.000065
|
| 59 |
+
3 3 0.000064
|
| 60 |
+
3 4 0.000064
|
| 61 |
+
3 5 0.000065
|
| 62 |
+
3 6 0.000065
|
| 63 |
+
3 7 0.000065
|
| 64 |
+
3 8 0.000065
|
| 65 |
+
3 9 0.000065
|
| 66 |
+
4 0 0.015881
|
| 67 |
+
4 1 0.015490
|
| 68 |
+
4 2 0.015015
|
| 69 |
+
4 3 0.014429
|
| 70 |
+
4 4 0.013701
|
| 71 |
+
4 5 0.012795
|
| 72 |
+
4 6 0.011669
|
| 73 |
+
4 7 0.010283
|
| 74 |
+
4 8 0.008612
|
| 75 |
+
4 9 0.006661
|
| 76 |
+
5 0 0.000148
|
| 77 |
+
5 1 0.000132
|
| 78 |
+
5 2 0.000118
|
| 79 |
+
5 3 0.000107
|
| 80 |
+
5 4 0.000099
|
| 81 |
+
5 5 0.000094
|
| 82 |
+
5 6 0.000092
|
| 83 |
+
5 7 0.000091
|
| 84 |
+
5 8 0.000092
|
| 85 |
+
5 9 0.000093
|
| 86 |
+
6 0 0.000104
|
| 87 |
+
6 1 0.000103
|
| 88 |
+
6 2 0.000103
|
| 89 |
+
6 3 0.000102
|
| 90 |
+
6 4 0.000102
|
| 91 |
+
6 5 0.000101
|
| 92 |
+
6 6 0.000101
|
| 93 |
+
6 7 0.000101
|
| 94 |
+
6 8 0.000101
|
| 95 |
+
6 9 0.000101
|
| 96 |
+
7 0 0.002601
|
| 97 |
+
7 1 0.002090
|
| 98 |
+
7 2 0.001581
|
| 99 |
+
7 3 0.001110
|
| 100 |
+
7 4 0.000691
|
| 101 |
+
7 5 0.000356
|
| 102 |
+
7 6 0.000132
|
| 103 |
+
7 7 0.000034
|
| 104 |
+
7 8 0.000042
|
| 105 |
+
7 9 0.000118
|
| 106 |
+
8 0 0.000054
|
| 107 |
+
8 1 0.000051
|
| 108 |
+
8 2 0.000052
|
| 109 |
+
8 3 0.000051
|
| 110 |
+
8 4 0.000049
|
| 111 |
+
8 5 0.000048
|
| 112 |
+
8 6 0.000048
|
| 113 |
+
8 7 0.000048
|
| 114 |
+
8 8 0.000047
|
| 115 |
+
8 9 0.000046
|
| 116 |
+
9 0 0.000076
|
| 117 |
+
9 1 0.000074
|
| 118 |
+
9 2 0.000073
|
| 119 |
+
9 3 0.000073
|
| 120 |
+
9 4 0.000072
|
| 121 |
+
9 5 0.000071
|
| 122 |
+
9 6 0.000070
|
| 123 |
+
9 7 0.000070
|
| 124 |
+
9 8 0.000069
|
| 125 |
+
9 9 0.000068
|
| 126 |
+
10 0 0.000742
|
| 127 |
+
10 1 0.000527
|
| 128 |
+
10 2 0.000361
|
| 129 |
+
10 3 0.000241
|
| 130 |
+
10 4 0.000159
|
| 131 |
+
10 5 0.000106
|
| 132 |
+
10 6 0.000076
|
| 133 |
+
10 7 0.000062
|
| 134 |
+
10 8 0.000060
|
| 135 |
+
10 9 0.000066
|
xenium_skin_mixed/sample15/log/Atg13.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Atg13
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 594 0.608720 0.000035 100 false 10 0.000749 0.000134
|
| 13 |
+
1 680 594 0.230896 0.000050 100 false 10 0.000142 0.000060
|
| 14 |
+
2 5552 594 0.818063 0.000595 100 false 10 0.017594 0.001316
|
| 15 |
+
3 3231 594 0.459589 0.000094 100 false 10 0.000095 0.000094
|
| 16 |
+
4 87 594 0.000000 0.000030 100 false 10 0.003419 0.000687
|
| 17 |
+
5 96 594 0.625489 0.000065 100 false 10 0.000069 0.000063
|
| 18 |
+
6 1210 594 0.636129 0.000053 100 false 10 0.000073 0.000058
|
| 19 |
+
7 3 594 0.125123 0.000000 100 false 10 0.000065 0.000020
|
| 20 |
+
8 448 594 0.311845 0.000092 100 false 10 0.000444 0.000131
|
| 21 |
+
9 332 594 0.863705 0.000130 100 false 10 0.000375 0.000220
|
| 22 |
+
10 82 594 0.281288 0.000045 100 false 10 0.000305 0.000068
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000749
|
| 27 |
+
0 1 0.000662
|
| 28 |
+
0 2 0.000578
|
| 29 |
+
0 3 0.000497
|
| 30 |
+
0 4 0.000421
|
| 31 |
+
0 5 0.000351
|
| 32 |
+
0 6 0.000288
|
| 33 |
+
0 7 0.000230
|
| 34 |
+
0 8 0.000178
|
| 35 |
+
0 9 0.000134
|
| 36 |
+
1 0 0.000142
|
| 37 |
+
1 1 0.000127
|
| 38 |
+
1 2 0.000113
|
| 39 |
+
1 3 0.000101
|
| 40 |
+
1 4 0.000090
|
| 41 |
+
1 5 0.000080
|
| 42 |
+
1 6 0.000073
|
| 43 |
+
1 7 0.000067
|
| 44 |
+
1 8 0.000063
|
| 45 |
+
1 9 0.000060
|
| 46 |
+
2 0 0.017594
|
| 47 |
+
2 1 0.014912
|
| 48 |
+
2 2 0.012316
|
| 49 |
+
2 3 0.009874
|
| 50 |
+
2 4 0.007650
|
| 51 |
+
2 5 0.005690
|
| 52 |
+
2 6 0.004044
|
| 53 |
+
2 7 0.002756
|
| 54 |
+
2 8 0.001853
|
| 55 |
+
2 9 0.001316
|
| 56 |
+
3 0 0.000095
|
| 57 |
+
3 1 0.000095
|
| 58 |
+
3 2 0.000094
|
| 59 |
+
3 3 0.000094
|
| 60 |
+
3 4 0.000094
|
| 61 |
+
3 5 0.000094
|
| 62 |
+
3 6 0.000094
|
| 63 |
+
3 7 0.000094
|
| 64 |
+
3 8 0.000094
|
| 65 |
+
3 9 0.000094
|
| 66 |
+
4 0 0.003419
|
| 67 |
+
4 1 0.002636
|
| 68 |
+
4 2 0.001831
|
| 69 |
+
4 3 0.001073
|
| 70 |
+
4 4 0.000463
|
| 71 |
+
4 5 0.000119
|
| 72 |
+
4 6 0.000102
|
| 73 |
+
4 7 0.000308
|
| 74 |
+
4 8 0.000543
|
| 75 |
+
4 9 0.000687
|
| 76 |
+
5 0 0.000069
|
| 77 |
+
5 1 0.000068
|
| 78 |
+
5 2 0.000067
|
| 79 |
+
5 3 0.000066
|
| 80 |
+
5 4 0.000066
|
| 81 |
+
5 5 0.000065
|
| 82 |
+
5 6 0.000065
|
| 83 |
+
5 7 0.000064
|
| 84 |
+
5 8 0.000064
|
| 85 |
+
5 9 0.000063
|
| 86 |
+
6 0 0.000073
|
| 87 |
+
6 1 0.000070
|
| 88 |
+
6 2 0.000068
|
| 89 |
+
6 3 0.000065
|
| 90 |
+
6 4 0.000063
|
| 91 |
+
6 5 0.000062
|
| 92 |
+
6 6 0.000061
|
| 93 |
+
6 7 0.000060
|
| 94 |
+
6 8 0.000059
|
| 95 |
+
6 9 0.000058
|
| 96 |
+
7 0 0.000065
|
| 97 |
+
7 1 0.000047
|
| 98 |
+
7 2 0.000033
|
| 99 |
+
7 3 0.000024
|
| 100 |
+
7 4 0.000022
|
| 101 |
+
7 5 0.000023
|
| 102 |
+
7 6 0.000025
|
| 103 |
+
7 7 0.000025
|
| 104 |
+
7 8 0.000023
|
| 105 |
+
7 9 0.000020
|
| 106 |
+
8 0 0.000444
|
| 107 |
+
8 1 0.000374
|
| 108 |
+
8 2 0.000312
|
| 109 |
+
8 3 0.000257
|
| 110 |
+
8 4 0.000211
|
| 111 |
+
8 5 0.000175
|
| 112 |
+
8 6 0.000150
|
| 113 |
+
8 7 0.000135
|
| 114 |
+
8 8 0.000129
|
| 115 |
+
8 9 0.000131
|
| 116 |
+
9 0 0.000375
|
| 117 |
+
9 1 0.000328
|
| 118 |
+
9 2 0.000291
|
| 119 |
+
9 3 0.000264
|
| 120 |
+
9 4 0.000245
|
| 121 |
+
9 5 0.000233
|
| 122 |
+
9 6 0.000226
|
| 123 |
+
9 7 0.000223
|
| 124 |
+
9 8 0.000221
|
| 125 |
+
9 9 0.000220
|
| 126 |
+
10 0 0.000305
|
| 127 |
+
10 1 0.000238
|
| 128 |
+
10 2 0.000180
|
| 129 |
+
10 3 0.000135
|
| 130 |
+
10 4 0.000102
|
| 131 |
+
10 5 0.000080
|
| 132 |
+
10 6 0.000069
|
| 133 |
+
10 7 0.000065
|
| 134 |
+
10 8 0.000065
|
| 135 |
+
10 9 0.000068
|
xenium_skin_mixed/sample15/log/Atg7.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
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|
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|
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|
|
|
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|
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|
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|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
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|
|
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|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
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|
|
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|
|
|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Atg7
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 616 0.591127 0.000048 100 false 10 0.000816 0.000086
|
| 13 |
+
1 680 616 0.674054 0.000069 100 false 10 0.001246 0.000146
|
| 14 |
+
2 5552 616 0.642022 0.000110 100 false 10 0.000140 0.000121
|
| 15 |
+
3 3231 616 0.651691 0.000110 100 false 10 0.000116 0.000114
|
| 16 |
+
4 87 616 0.361345 0.000012 100 false 10 0.000026 0.000016
|
| 17 |
+
5 96 616 0.690354 0.000176 100 false 10 0.000471 0.000189
|
| 18 |
+
6 1210 616 0.647590 0.000182 100 false 10 0.000287 0.000210
|
| 19 |
+
7 3 616 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 616 0.753086 0.000047 100 false 10 0.000143 0.000082
|
| 21 |
+
9 332 616 0.490366 0.000033 100 false 10 0.000111 0.000055
|
| 22 |
+
10 82 616 0.659491 0.000045 100 false 10 0.001361 0.000296
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000816
|
| 27 |
+
0 1 0.000607
|
| 28 |
+
0 2 0.000426
|
| 29 |
+
0 3 0.000281
|
| 30 |
+
0 4 0.000174
|
| 31 |
+
0 5 0.000105
|
| 32 |
+
0 6 0.000069
|
| 33 |
+
0 7 0.000060
|
| 34 |
+
0 8 0.000068
|
| 35 |
+
0 9 0.000086
|
| 36 |
+
1 0 0.001246
|
| 37 |
+
1 1 0.001030
|
| 38 |
+
1 2 0.000817
|
| 39 |
+
1 3 0.000615
|
| 40 |
+
1 4 0.000435
|
| 41 |
+
1 5 0.000290
|
| 42 |
+
1 6 0.000190
|
| 43 |
+
1 7 0.000138
|
| 44 |
+
1 8 0.000129
|
| 45 |
+
1 9 0.000146
|
| 46 |
+
2 0 0.000140
|
| 47 |
+
2 1 0.000135
|
| 48 |
+
2 2 0.000131
|
| 49 |
+
2 3 0.000129
|
| 50 |
+
2 4 0.000127
|
| 51 |
+
2 5 0.000126
|
| 52 |
+
2 6 0.000125
|
| 53 |
+
2 7 0.000124
|
| 54 |
+
2 8 0.000123
|
| 55 |
+
2 9 0.000121
|
| 56 |
+
3 0 0.000116
|
| 57 |
+
3 1 0.000116
|
| 58 |
+
3 2 0.000116
|
| 59 |
+
3 3 0.000115
|
| 60 |
+
3 4 0.000115
|
| 61 |
+
3 5 0.000115
|
| 62 |
+
3 6 0.000115
|
| 63 |
+
3 7 0.000114
|
| 64 |
+
3 8 0.000114
|
| 65 |
+
3 9 0.000114
|
| 66 |
+
4 0 0.000026
|
| 67 |
+
4 1 0.000015
|
| 68 |
+
4 2 0.000019
|
| 69 |
+
4 3 0.000020
|
| 70 |
+
4 4 0.000018
|
| 71 |
+
4 5 0.000015
|
| 72 |
+
4 6 0.000015
|
| 73 |
+
4 7 0.000016
|
| 74 |
+
4 8 0.000017
|
| 75 |
+
4 9 0.000016
|
| 76 |
+
5 0 0.000471
|
| 77 |
+
5 1 0.000422
|
| 78 |
+
5 2 0.000375
|
| 79 |
+
5 3 0.000332
|
| 80 |
+
5 4 0.000294
|
| 81 |
+
5 5 0.000261
|
| 82 |
+
5 6 0.000234
|
| 83 |
+
5 7 0.000214
|
| 84 |
+
5 8 0.000199
|
| 85 |
+
5 9 0.000189
|
| 86 |
+
6 0 0.000287
|
| 87 |
+
6 1 0.000262
|
| 88 |
+
6 2 0.000242
|
| 89 |
+
6 3 0.000227
|
| 90 |
+
6 4 0.000218
|
| 91 |
+
6 5 0.000214
|
| 92 |
+
6 6 0.000212
|
| 93 |
+
6 7 0.000211
|
| 94 |
+
6 8 0.000211
|
| 95 |
+
6 9 0.000210
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000143
|
| 107 |
+
8 1 0.000118
|
| 108 |
+
8 2 0.000099
|
| 109 |
+
8 3 0.000086
|
| 110 |
+
8 4 0.000079
|
| 111 |
+
8 5 0.000078
|
| 112 |
+
8 6 0.000079
|
| 113 |
+
8 7 0.000082
|
| 114 |
+
8 8 0.000083
|
| 115 |
+
8 9 0.000082
|
| 116 |
+
9 0 0.000111
|
| 117 |
+
9 1 0.000105
|
| 118 |
+
9 2 0.000100
|
| 119 |
+
9 3 0.000093
|
| 120 |
+
9 4 0.000087
|
| 121 |
+
9 5 0.000080
|
| 122 |
+
9 6 0.000073
|
| 123 |
+
9 7 0.000066
|
| 124 |
+
9 8 0.000060
|
| 125 |
+
9 9 0.000055
|
| 126 |
+
10 0 0.001361
|
| 127 |
+
10 1 0.001149
|
| 128 |
+
10 2 0.000928
|
| 129 |
+
10 3 0.000700
|
| 130 |
+
10 4 0.000473
|
| 131 |
+
10 5 0.000266
|
| 132 |
+
10 6 0.000122
|
| 133 |
+
10 7 0.000096
|
| 134 |
+
10 8 0.000194
|
| 135 |
+
10 9 0.000296
|
xenium_skin_mixed/sample15/log/Atn1.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Atn1
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 633 0.531064 0.000043 100 false 10 0.000244 0.000060
|
| 13 |
+
1 680 633 0.485746 0.000106 100 false 10 0.000341 0.000137
|
| 14 |
+
2 5552 633 0.800887 0.000101 100 false 10 0.001103 0.000209
|
| 15 |
+
3 3231 633 0.838567 0.000152 100 false 10 0.000175 0.000157
|
| 16 |
+
4 87 633 0.100311 0.000026 100 false 10 0.000119 0.000057
|
| 17 |
+
5 96 633 0.977275 0.000050 100 false 10 0.000379 0.000133
|
| 18 |
+
6 1210 633 0.604372 0.000059 100 false 10 0.000073 0.000065
|
| 19 |
+
7 3 633 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 633 0.862136 0.000125 100 false 10 0.000211 0.000141
|
| 21 |
+
9 332 633 0.854952 0.000138 100 false 10 0.000859 0.000251
|
| 22 |
+
10 82 633 0.567560 0.000051 100 false 10 0.005510 0.000171
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000244
|
| 27 |
+
0 1 0.000114
|
| 28 |
+
0 2 0.000067
|
| 29 |
+
0 3 0.000081
|
| 30 |
+
0 4 0.000107
|
| 31 |
+
0 5 0.000117
|
| 32 |
+
0 6 0.000109
|
| 33 |
+
0 7 0.000091
|
| 34 |
+
0 8 0.000072
|
| 35 |
+
0 9 0.000060
|
| 36 |
+
1 0 0.000341
|
| 37 |
+
1 1 0.000224
|
| 38 |
+
1 2 0.000170
|
| 39 |
+
1 3 0.000174
|
| 40 |
+
1 4 0.000195
|
| 41 |
+
1 5 0.000196
|
| 42 |
+
1 6 0.000178
|
| 43 |
+
1 7 0.000156
|
| 44 |
+
1 8 0.000141
|
| 45 |
+
1 9 0.000137
|
| 46 |
+
2 0 0.001103
|
| 47 |
+
2 1 0.000894
|
| 48 |
+
2 2 0.000715
|
| 49 |
+
2 3 0.000568
|
| 50 |
+
2 4 0.000452
|
| 51 |
+
2 5 0.000364
|
| 52 |
+
2 6 0.000301
|
| 53 |
+
2 7 0.000258
|
| 54 |
+
2 8 0.000228
|
| 55 |
+
2 9 0.000209
|
| 56 |
+
3 0 0.000175
|
| 57 |
+
3 1 0.000165
|
| 58 |
+
3 2 0.000161
|
| 59 |
+
3 3 0.000161
|
| 60 |
+
3 4 0.000162
|
| 61 |
+
3 5 0.000162
|
| 62 |
+
3 6 0.000162
|
| 63 |
+
3 7 0.000160
|
| 64 |
+
3 8 0.000159
|
| 65 |
+
3 9 0.000157
|
| 66 |
+
4 0 0.000119
|
| 67 |
+
4 1 0.000057
|
| 68 |
+
4 2 0.000070
|
| 69 |
+
4 3 0.000083
|
| 70 |
+
4 4 0.000072
|
| 71 |
+
4 5 0.000055
|
| 72 |
+
4 6 0.000047
|
| 73 |
+
4 7 0.000050
|
| 74 |
+
4 8 0.000056
|
| 75 |
+
4 9 0.000057
|
| 76 |
+
5 0 0.000379
|
| 77 |
+
5 1 0.000320
|
| 78 |
+
5 2 0.000264
|
| 79 |
+
5 3 0.000213
|
| 80 |
+
5 4 0.000170
|
| 81 |
+
5 5 0.000137
|
| 82 |
+
5 6 0.000118
|
| 83 |
+
5 7 0.000115
|
| 84 |
+
5 8 0.000122
|
| 85 |
+
5 9 0.000133
|
| 86 |
+
6 0 0.000073
|
| 87 |
+
6 1 0.000069
|
| 88 |
+
6 2 0.000066
|
| 89 |
+
6 3 0.000065
|
| 90 |
+
6 4 0.000064
|
| 91 |
+
6 5 0.000064
|
| 92 |
+
6 6 0.000064
|
| 93 |
+
6 7 0.000064
|
| 94 |
+
6 8 0.000064
|
| 95 |
+
6 9 0.000065
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000211
|
| 107 |
+
8 1 0.000198
|
| 108 |
+
8 2 0.000187
|
| 109 |
+
8 3 0.000177
|
| 110 |
+
8 4 0.000169
|
| 111 |
+
8 5 0.000161
|
| 112 |
+
8 6 0.000155
|
| 113 |
+
8 7 0.000149
|
| 114 |
+
8 8 0.000145
|
| 115 |
+
8 9 0.000141
|
| 116 |
+
9 0 0.000859
|
| 117 |
+
9 1 0.000748
|
| 118 |
+
9 2 0.000649
|
| 119 |
+
9 3 0.000562
|
| 120 |
+
9 4 0.000485
|
| 121 |
+
9 5 0.000419
|
| 122 |
+
9 6 0.000363
|
| 123 |
+
9 7 0.000316
|
| 124 |
+
9 8 0.000279
|
| 125 |
+
9 9 0.000251
|
| 126 |
+
10 0 0.005510
|
| 127 |
+
10 1 0.004774
|
| 128 |
+
10 2 0.004034
|
| 129 |
+
10 3 0.003303
|
| 130 |
+
10 4 0.002605
|
| 131 |
+
10 5 0.001948
|
| 132 |
+
10 6 0.001351
|
| 133 |
+
10 7 0.000835
|
| 134 |
+
10 8 0.000429
|
| 135 |
+
10 9 0.000171
|
xenium_skin_mixed/sample15/log/Atp2a3.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Atp2a3
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 628 0.706902 0.000130 100 false 10 0.001509 0.000309
|
| 13 |
+
1 680 628 0.887377 0.002060 100 false 10 0.060348 0.003760
|
| 14 |
+
2 5552 628 0.638222 0.000044 100 false 10 0.000262 0.000090
|
| 15 |
+
3 3231 628 0.457840 0.000054 100 false 10 0.000106 0.000065
|
| 16 |
+
4 87 628 0.792807 0.000057 100 false 10 0.004869 0.000704
|
| 17 |
+
5 96 628 0.923678 0.000651 100 false 10 0.002673 0.000910
|
| 18 |
+
6 1210 628 0.650015 0.000139 100 false 10 0.000164 0.000151
|
| 19 |
+
7 3 628 0.000000 0.000000 26 true 10 0.000463 0.000070
|
| 20 |
+
8 448 628 0.919082 0.000490 100 false 10 0.001064 0.000474
|
| 21 |
+
9 332 628 0.802713 0.000004 100 false 10 0.000023 0.000015
|
| 22 |
+
10 82 628 0.353900 0.000519 100 false 10 0.060361 0.006864
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.001509
|
| 27 |
+
0 1 0.001055
|
| 28 |
+
0 2 0.000681
|
| 29 |
+
0 3 0.000411
|
| 30 |
+
0 4 0.000252
|
| 31 |
+
0 5 0.000188
|
| 32 |
+
0 6 0.000189
|
| 33 |
+
0 7 0.000223
|
| 34 |
+
0 8 0.000268
|
| 35 |
+
0 9 0.000309
|
| 36 |
+
1 0 0.060348
|
| 37 |
+
1 1 0.051296
|
| 38 |
+
1 2 0.042640
|
| 39 |
+
1 3 0.034467
|
| 40 |
+
1 4 0.026891
|
| 41 |
+
1 5 0.020055
|
| 42 |
+
1 6 0.014148
|
| 43 |
+
1 7 0.009367
|
| 44 |
+
1 8 0.005882
|
| 45 |
+
1 9 0.003760
|
| 46 |
+
2 0 0.000262
|
| 47 |
+
2 1 0.000178
|
| 48 |
+
2 2 0.000116
|
| 49 |
+
2 3 0.000078
|
| 50 |
+
2 4 0.000060
|
| 51 |
+
2 5 0.000059
|
| 52 |
+
2 6 0.000066
|
| 53 |
+
2 7 0.000076
|
| 54 |
+
2 8 0.000085
|
| 55 |
+
2 9 0.000090
|
| 56 |
+
3 0 0.000106
|
| 57 |
+
3 1 0.000088
|
| 58 |
+
3 2 0.000073
|
| 59 |
+
3 3 0.000063
|
| 60 |
+
3 4 0.000058
|
| 61 |
+
3 5 0.000057
|
| 62 |
+
3 6 0.000059
|
| 63 |
+
3 7 0.000062
|
| 64 |
+
3 8 0.000064
|
| 65 |
+
3 9 0.000065
|
| 66 |
+
4 0 0.004869
|
| 67 |
+
4 1 0.002639
|
| 68 |
+
4 2 0.001069
|
| 69 |
+
4 3 0.000299
|
| 70 |
+
4 4 0.000303
|
| 71 |
+
4 5 0.000748
|
| 72 |
+
4 6 0.001133
|
| 73 |
+
4 7 0.001213
|
| 74 |
+
4 8 0.001023
|
| 75 |
+
4 9 0.000704
|
| 76 |
+
5 0 0.002673
|
| 77 |
+
5 1 0.001789
|
| 78 |
+
5 2 0.001191
|
| 79 |
+
5 3 0.000885
|
| 80 |
+
5 4 0.000822
|
| 81 |
+
5 5 0.000896
|
| 82 |
+
5 6 0.000985
|
| 83 |
+
5 7 0.001021
|
| 84 |
+
5 8 0.000988
|
| 85 |
+
5 9 0.000910
|
| 86 |
+
6 0 0.000164
|
| 87 |
+
6 1 0.000159
|
| 88 |
+
6 2 0.000156
|
| 89 |
+
6 3 0.000155
|
| 90 |
+
6 4 0.000155
|
| 91 |
+
6 5 0.000155
|
| 92 |
+
6 6 0.000154
|
| 93 |
+
6 7 0.000153
|
| 94 |
+
6 8 0.000152
|
| 95 |
+
6 9 0.000151
|
| 96 |
+
7 0 0.000463
|
| 97 |
+
7 1 0.000137
|
| 98 |
+
7 2 0.000108
|
| 99 |
+
7 3 0.000148
|
| 100 |
+
7 4 0.000116
|
| 101 |
+
7 5 0.000049
|
| 102 |
+
7 6 0.000007
|
| 103 |
+
7 7 0.000013
|
| 104 |
+
7 8 0.000047
|
| 105 |
+
7 9 0.000070
|
| 106 |
+
8 0 0.001064
|
| 107 |
+
8 1 0.000895
|
| 108 |
+
8 2 0.000778
|
| 109 |
+
8 3 0.000698
|
| 110 |
+
8 4 0.000638
|
| 111 |
+
8 5 0.000588
|
| 112 |
+
8 6 0.000544
|
| 113 |
+
8 7 0.000509
|
| 114 |
+
8 8 0.000485
|
| 115 |
+
8 9 0.000474
|
| 116 |
+
9 0 0.000023
|
| 117 |
+
9 1 0.000022
|
| 118 |
+
9 2 0.000021
|
| 119 |
+
9 3 0.000020
|
| 120 |
+
9 4 0.000019
|
| 121 |
+
9 5 0.000018
|
| 122 |
+
9 6 0.000017
|
| 123 |
+
9 7 0.000017
|
| 124 |
+
9 8 0.000016
|
| 125 |
+
9 9 0.000015
|
| 126 |
+
10 0 0.060361
|
| 127 |
+
10 1 0.045195
|
| 128 |
+
10 2 0.030649
|
| 129 |
+
10 3 0.017850
|
| 130 |
+
10 4 0.008154
|
| 131 |
+
10 5 0.002381
|
| 132 |
+
10 6 0.000649
|
| 133 |
+
10 7 0.001956
|
| 134 |
+
10 8 0.004523
|
| 135 |
+
10 9 0.006864
|
xenium_skin_mixed/sample15/log/Atp5o.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Atp5o
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 654 0.767555 0.000111 100 false 10 0.002752 0.000173
|
| 13 |
+
1 680 654 0.408371 0.000173 100 false 10 0.003585 0.001019
|
| 14 |
+
2 5552 654 0.831799 0.000575 100 false 10 0.012167 0.002879
|
| 15 |
+
3 3231 654 0.624484 0.000199 100 false 10 0.000264 0.000243
|
| 16 |
+
4 87 654 0.418070 0.000082 100 false 10 0.000784 0.000222
|
| 17 |
+
5 96 654 0.761480 0.000123 100 false 10 0.001620 0.000427
|
| 18 |
+
6 1210 654 0.748567 0.000507 100 false 10 0.000942 0.000562
|
| 19 |
+
7 3 654 0.162026 0.000002 100 false 10 0.004120 0.000723
|
| 20 |
+
8 448 654 0.831346 0.000200 100 false 10 0.001769 0.000512
|
| 21 |
+
9 332 654 0.726478 0.000126 100 false 10 0.000167 0.000135
|
| 22 |
+
10 82 654 0.462366 0.000113 100 false 10 0.004479 0.000383
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.002752
|
| 27 |
+
0 1 0.000784
|
| 28 |
+
0 2 0.000175
|
| 29 |
+
0 3 0.000554
|
| 30 |
+
0 4 0.000983
|
| 31 |
+
0 5 0.001035
|
| 32 |
+
0 6 0.000795
|
| 33 |
+
0 7 0.000465
|
| 34 |
+
0 8 0.000225
|
| 35 |
+
0 9 0.000173
|
| 36 |
+
1 0 0.003585
|
| 37 |
+
1 1 0.003144
|
| 38 |
+
1 2 0.002745
|
| 39 |
+
1 3 0.002390
|
| 40 |
+
1 4 0.002079
|
| 41 |
+
1 5 0.001806
|
| 42 |
+
1 6 0.001568
|
| 43 |
+
1 7 0.001360
|
| 44 |
+
1 8 0.001178
|
| 45 |
+
1 9 0.001019
|
| 46 |
+
2 0 0.012167
|
| 47 |
+
2 1 0.008668
|
| 48 |
+
2 2 0.005844
|
| 49 |
+
2 3 0.003682
|
| 50 |
+
2 4 0.002190
|
| 51 |
+
2 5 0.001414
|
| 52 |
+
2 6 0.001366
|
| 53 |
+
2 7 0.001874
|
| 54 |
+
2 8 0.002505
|
| 55 |
+
2 9 0.002879
|
| 56 |
+
3 0 0.000264
|
| 57 |
+
3 1 0.000265
|
| 58 |
+
3 2 0.000258
|
| 59 |
+
3 3 0.000254
|
| 60 |
+
3 4 0.000254
|
| 61 |
+
3 5 0.000252
|
| 62 |
+
3 6 0.000248
|
| 63 |
+
3 7 0.000245
|
| 64 |
+
3 8 0.000244
|
| 65 |
+
3 9 0.000243
|
| 66 |
+
4 0 0.000784
|
| 67 |
+
4 1 0.000206
|
| 68 |
+
4 2 0.000367
|
| 69 |
+
4 3 0.000460
|
| 70 |
+
4 4 0.000325
|
| 71 |
+
4 5 0.000170
|
| 72 |
+
4 6 0.000130
|
| 73 |
+
4 7 0.000190
|
| 74 |
+
4 8 0.000242
|
| 75 |
+
4 9 0.000222
|
| 76 |
+
5 0 0.001620
|
| 77 |
+
5 1 0.001455
|
| 78 |
+
5 2 0.001297
|
| 79 |
+
5 3 0.001148
|
| 80 |
+
5 4 0.001006
|
| 81 |
+
5 5 0.000872
|
| 82 |
+
5 6 0.000745
|
| 83 |
+
5 7 0.000627
|
| 84 |
+
5 8 0.000519
|
| 85 |
+
5 9 0.000427
|
| 86 |
+
6 0 0.000942
|
| 87 |
+
6 1 0.000833
|
| 88 |
+
6 2 0.000768
|
| 89 |
+
6 3 0.000722
|
| 90 |
+
6 4 0.000678
|
| 91 |
+
6 5 0.000636
|
| 92 |
+
6 6 0.000601
|
| 93 |
+
6 7 0.000578
|
| 94 |
+
6 8 0.000567
|
| 95 |
+
6 9 0.000562
|
| 96 |
+
7 0 0.004120
|
| 97 |
+
7 1 0.003283
|
| 98 |
+
7 2 0.002317
|
| 99 |
+
7 3 0.001389
|
| 100 |
+
7 4 0.000592
|
| 101 |
+
7 5 0.000126
|
| 102 |
+
7 6 0.000070
|
| 103 |
+
7 7 0.000292
|
| 104 |
+
7 8 0.000558
|
| 105 |
+
7 9 0.000723
|
| 106 |
+
8 0 0.001769
|
| 107 |
+
8 1 0.001431
|
| 108 |
+
8 2 0.001112
|
| 109 |
+
8 3 0.000825
|
| 110 |
+
8 4 0.000592
|
| 111 |
+
8 5 0.000438
|
| 112 |
+
8 6 0.000380
|
| 113 |
+
8 7 0.000408
|
| 114 |
+
8 8 0.000471
|
| 115 |
+
8 9 0.000512
|
| 116 |
+
9 0 0.000167
|
| 117 |
+
9 1 0.000158
|
| 118 |
+
9 2 0.000158
|
| 119 |
+
9 3 0.000152
|
| 120 |
+
9 4 0.000146
|
| 121 |
+
9 5 0.000143
|
| 122 |
+
9 6 0.000143
|
| 123 |
+
9 7 0.000141
|
| 124 |
+
9 8 0.000138
|
| 125 |
+
9 9 0.000135
|
| 126 |
+
10 0 0.004479
|
| 127 |
+
10 1 0.001830
|
| 128 |
+
10 2 0.000511
|
| 129 |
+
10 3 0.000660
|
| 130 |
+
10 4 0.001286
|
| 131 |
+
10 5 0.001574
|
| 132 |
+
10 6 0.001439
|
| 133 |
+
10 7 0.001059
|
| 134 |
+
10 8 0.000648
|
| 135 |
+
10 9 0.000383
|
xenium_skin_mixed/sample15/log/Atp6v1b2.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Atp6v1b2
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 626 0.597389 0.000543 100 false 10 0.009461 0.002255
|
| 13 |
+
1 680 626 0.534259 0.000177 100 false 10 0.000282 0.000204
|
| 14 |
+
2 5552 626 0.923570 0.000548 100 false 10 0.010245 0.002143
|
| 15 |
+
3 3231 626 0.634926 0.000388 100 false 10 0.000580 0.000407
|
| 16 |
+
4 87 626 0.185573 0.000088 100 false 10 0.004760 0.001001
|
| 17 |
+
5 96 626 0.802046 0.000287 100 false 10 0.000967 0.000318
|
| 18 |
+
6 1210 626 0.734727 0.002796 100 false 10 0.005570 0.002833
|
| 19 |
+
7 3 626 0.128217 0.000669 100 false 10 0.010128 0.001623
|
| 20 |
+
8 448 626 0.837101 0.000180 100 false 10 0.000612 0.000239
|
| 21 |
+
9 332 626 0.828212 0.000111 100 false 10 0.000693 0.000154
|
| 22 |
+
10 82 626 0.589903 0.000074 100 false 10 0.002288 0.000414
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.009461
|
| 27 |
+
0 1 0.004796
|
| 28 |
+
0 2 0.001966
|
| 29 |
+
0 3 0.000767
|
| 30 |
+
0 4 0.000663
|
| 31 |
+
0 5 0.001075
|
| 32 |
+
0 6 0.001592
|
| 33 |
+
0 7 0.001998
|
| 34 |
+
0 8 0.002219
|
| 35 |
+
0 9 0.002255
|
| 36 |
+
1 0 0.000282
|
| 37 |
+
1 1 0.000242
|
| 38 |
+
1 2 0.000214
|
| 39 |
+
1 3 0.000198
|
| 40 |
+
1 4 0.000192
|
| 41 |
+
1 5 0.000193
|
| 42 |
+
1 6 0.000197
|
| 43 |
+
1 7 0.000201
|
| 44 |
+
1 8 0.000203
|
| 45 |
+
1 9 0.000204
|
| 46 |
+
2 0 0.010245
|
| 47 |
+
2 1 0.008525
|
| 48 |
+
2 2 0.007014
|
| 49 |
+
2 3 0.005717
|
| 50 |
+
2 4 0.004633
|
| 51 |
+
2 5 0.003759
|
| 52 |
+
2 6 0.003090
|
| 53 |
+
2 7 0.002613
|
| 54 |
+
2 8 0.002307
|
| 55 |
+
2 9 0.002143
|
| 56 |
+
3 0 0.000580
|
| 57 |
+
3 1 0.000531
|
| 58 |
+
3 2 0.000514
|
| 59 |
+
3 3 0.000488
|
| 60 |
+
3 4 0.000460
|
| 61 |
+
3 5 0.000440
|
| 62 |
+
3 6 0.000430
|
| 63 |
+
3 7 0.000423
|
| 64 |
+
3 8 0.000415
|
| 65 |
+
3 9 0.000407
|
| 66 |
+
4 0 0.004760
|
| 67 |
+
4 1 0.003325
|
| 68 |
+
4 2 0.002065
|
| 69 |
+
4 3 0.001066
|
| 70 |
+
4 4 0.000418
|
| 71 |
+
4 5 0.000191
|
| 72 |
+
4 6 0.000331
|
| 73 |
+
4 7 0.000636
|
| 74 |
+
4 8 0.000892
|
| 75 |
+
4 9 0.001001
|
| 76 |
+
5 0 0.000967
|
| 77 |
+
5 1 0.000851
|
| 78 |
+
5 2 0.000741
|
| 79 |
+
5 3 0.000642
|
| 80 |
+
5 4 0.000553
|
| 81 |
+
5 5 0.000479
|
| 82 |
+
5 6 0.000419
|
| 83 |
+
5 7 0.000374
|
| 84 |
+
5 8 0.000341
|
| 85 |
+
5 9 0.000318
|
| 86 |
+
6 0 0.005570
|
| 87 |
+
6 1 0.004765
|
| 88 |
+
6 2 0.004094
|
| 89 |
+
6 3 0.003553
|
| 90 |
+
6 4 0.003157
|
| 91 |
+
6 5 0.002907
|
| 92 |
+
6 6 0.002786
|
| 93 |
+
6 7 0.002762
|
| 94 |
+
6 8 0.002791
|
| 95 |
+
6 9 0.002833
|
| 96 |
+
7 0 0.010128
|
| 97 |
+
7 1 0.006446
|
| 98 |
+
7 2 0.003539
|
| 99 |
+
7 3 0.001618
|
| 100 |
+
7 4 0.000760
|
| 101 |
+
7 5 0.000745
|
| 102 |
+
7 6 0.001127
|
| 103 |
+
7 7 0.001506
|
| 104 |
+
7 8 0.001690
|
| 105 |
+
7 9 0.001623
|
| 106 |
+
8 0 0.000612
|
| 107 |
+
8 1 0.000451
|
| 108 |
+
8 2 0.000326
|
| 109 |
+
8 3 0.000254
|
| 110 |
+
8 4 0.000240
|
| 111 |
+
8 5 0.000261
|
| 112 |
+
8 6 0.000280
|
| 113 |
+
8 7 0.000280
|
| 114 |
+
8 8 0.000263
|
| 115 |
+
8 9 0.000239
|
| 116 |
+
9 0 0.000693
|
| 117 |
+
9 1 0.000595
|
| 118 |
+
9 2 0.000502
|
| 119 |
+
9 3 0.000416
|
| 120 |
+
9 4 0.000340
|
| 121 |
+
9 5 0.000274
|
| 122 |
+
9 6 0.000222
|
| 123 |
+
9 7 0.000184
|
| 124 |
+
9 8 0.000161
|
| 125 |
+
9 9 0.000154
|
| 126 |
+
10 0 0.002288
|
| 127 |
+
10 1 0.001386
|
| 128 |
+
10 2 0.000901
|
| 129 |
+
10 3 0.000838
|
| 130 |
+
10 4 0.000955
|
| 131 |
+
10 5 0.000993
|
| 132 |
+
10 6 0.000894
|
| 133 |
+
10 7 0.000716
|
| 134 |
+
10 8 0.000537
|
| 135 |
+
10 9 0.000414
|
xenium_skin_mixed/sample15/log/Atrx.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Atrx
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 623 0.351777 0.000088 100 false 10 0.003636 0.000395
|
| 13 |
+
1 680 623 0.579456 0.000123 100 false 10 0.000321 0.000140
|
| 14 |
+
2 5552 623 0.822914 0.000100 100 false 10 0.000589 0.000330
|
| 15 |
+
3 3231 623 0.564088 0.000137 100 false 10 0.000250 0.000162
|
| 16 |
+
4 87 623 0.200045 0.000049 100 false 10 0.002335 0.000503
|
| 17 |
+
5 96 623 0.846102 0.000103 100 false 10 0.000179 0.000107
|
| 18 |
+
6 1210 623 0.512327 0.000096 100 false 10 0.000153 0.000104
|
| 19 |
+
7 3 623 0.269467 0.000004 100 false 10 0.002841 0.000474
|
| 20 |
+
8 448 623 0.793323 0.000169 100 false 10 0.000214 0.000188
|
| 21 |
+
9 332 623 0.806304 0.000070 100 false 10 0.000118 0.000078
|
| 22 |
+
10 82 623 0.263164 0.000071 100 false 10 0.007032 0.000646
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.003636
|
| 27 |
+
0 1 0.003030
|
| 28 |
+
0 2 0.002409
|
| 29 |
+
0 3 0.001800
|
| 30 |
+
0 4 0.001245
|
| 31 |
+
0 5 0.000795
|
| 32 |
+
0 6 0.000488
|
| 33 |
+
0 7 0.000340
|
| 34 |
+
0 8 0.000326
|
| 35 |
+
0 9 0.000395
|
| 36 |
+
1 0 0.000321
|
| 37 |
+
1 1 0.000246
|
| 38 |
+
1 2 0.000192
|
| 39 |
+
1 3 0.000163
|
| 40 |
+
1 4 0.000156
|
| 41 |
+
1 5 0.000160
|
| 42 |
+
1 6 0.000162
|
| 43 |
+
1 7 0.000159
|
| 44 |
+
1 8 0.000150
|
| 45 |
+
1 9 0.000140
|
| 46 |
+
2 0 0.000589
|
| 47 |
+
2 1 0.000462
|
| 48 |
+
2 2 0.000371
|
| 49 |
+
2 3 0.000317
|
| 50 |
+
2 4 0.000301
|
| 51 |
+
2 5 0.000314
|
| 52 |
+
2 6 0.000337
|
| 53 |
+
2 7 0.000349
|
| 54 |
+
2 8 0.000345
|
| 55 |
+
2 9 0.000330
|
| 56 |
+
3 0 0.000250
|
| 57 |
+
3 1 0.000215
|
| 58 |
+
3 2 0.000187
|
| 59 |
+
3 3 0.000166
|
| 60 |
+
3 4 0.000153
|
| 61 |
+
3 5 0.000149
|
| 62 |
+
3 6 0.000150
|
| 63 |
+
3 7 0.000156
|
| 64 |
+
3 8 0.000160
|
| 65 |
+
3 9 0.000162
|
| 66 |
+
4 0 0.002335
|
| 67 |
+
4 1 0.001523
|
| 68 |
+
4 2 0.000822
|
| 69 |
+
4 3 0.000326
|
| 70 |
+
4 4 0.000101
|
| 71 |
+
4 5 0.000143
|
| 72 |
+
4 6 0.000327
|
| 73 |
+
4 7 0.000488
|
| 74 |
+
4 8 0.000547
|
| 75 |
+
4 9 0.000503
|
| 76 |
+
5 0 0.000179
|
| 77 |
+
5 1 0.000157
|
| 78 |
+
5 2 0.000141
|
| 79 |
+
5 3 0.000128
|
| 80 |
+
5 4 0.000119
|
| 81 |
+
5 5 0.000113
|
| 82 |
+
5 6 0.000109
|
| 83 |
+
5 7 0.000108
|
| 84 |
+
5 8 0.000107
|
| 85 |
+
5 9 0.000107
|
| 86 |
+
6 0 0.000153
|
| 87 |
+
6 1 0.000118
|
| 88 |
+
6 2 0.000103
|
| 89 |
+
6 3 0.000105
|
| 90 |
+
6 4 0.000112
|
| 91 |
+
6 5 0.000116
|
| 92 |
+
6 6 0.000116
|
| 93 |
+
6 7 0.000113
|
| 94 |
+
6 8 0.000108
|
| 95 |
+
6 9 0.000104
|
| 96 |
+
7 0 0.002841
|
| 97 |
+
7 1 0.002546
|
| 98 |
+
7 2 0.002185
|
| 99 |
+
7 3 0.001738
|
| 100 |
+
7 4 0.001191
|
| 101 |
+
7 5 0.000603
|
| 102 |
+
7 6 0.000139
|
| 103 |
+
7 7 0.000013
|
| 104 |
+
7 8 0.000228
|
| 105 |
+
7 9 0.000474
|
| 106 |
+
8 0 0.000214
|
| 107 |
+
8 1 0.000210
|
| 108 |
+
8 2 0.000206
|
| 109 |
+
8 3 0.000203
|
| 110 |
+
8 4 0.000200
|
| 111 |
+
8 5 0.000197
|
| 112 |
+
8 6 0.000195
|
| 113 |
+
8 7 0.000192
|
| 114 |
+
8 8 0.000190
|
| 115 |
+
8 9 0.000188
|
| 116 |
+
9 0 0.000118
|
| 117 |
+
9 1 0.000103
|
| 118 |
+
9 2 0.000091
|
| 119 |
+
9 3 0.000083
|
| 120 |
+
9 4 0.000078
|
| 121 |
+
9 5 0.000075
|
| 122 |
+
9 6 0.000075
|
| 123 |
+
9 7 0.000076
|
| 124 |
+
9 8 0.000077
|
| 125 |
+
9 9 0.000078
|
| 126 |
+
10 0 0.007032
|
| 127 |
+
10 1 0.005966
|
| 128 |
+
10 2 0.004813
|
| 129 |
+
10 3 0.003598
|
| 130 |
+
10 4 0.002384
|
| 131 |
+
10 5 0.001288
|
| 132 |
+
10 6 0.000488
|
| 133 |
+
10 7 0.000146
|
| 134 |
+
10 8 0.000271
|
| 135 |
+
10 9 0.000646
|
xenium_skin_mixed/sample15/log/Azi2.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Azi2
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 640 0.404372 0.000053 100 false 10 0.000619 0.000167
|
| 13 |
+
1 680 640 0.586283 0.000122 100 false 10 0.000330 0.000177
|
| 14 |
+
2 5552 640 0.690479 0.000097 100 false 10 0.000321 0.000143
|
| 15 |
+
3 3231 640 0.762377 0.000101 100 false 10 0.000128 0.000109
|
| 16 |
+
4 87 640 0.544155 0.000048 100 false 10 0.000872 0.000099
|
| 17 |
+
5 96 640 0.666089 0.000213 100 false 10 0.001232 0.000310
|
| 18 |
+
6 1210 640 0.414635 0.000161 100 false 10 0.000248 0.000186
|
| 19 |
+
7 3 640 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 640 0.700650 0.000150 100 false 10 0.001464 0.000431
|
| 21 |
+
9 332 640 0.697109 0.000081 100 false 10 0.000338 0.000121
|
| 22 |
+
10 82 640 0.664224 0.000124 100 false 10 0.003503 0.000907
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000619
|
| 27 |
+
0 1 0.000319
|
| 28 |
+
0 2 0.000164
|
| 29 |
+
0 3 0.000141
|
| 30 |
+
0 4 0.000185
|
| 31 |
+
0 5 0.000229
|
| 32 |
+
0 6 0.000247
|
| 33 |
+
0 7 0.000237
|
| 34 |
+
0 8 0.000206
|
| 35 |
+
0 9 0.000167
|
| 36 |
+
1 0 0.000330
|
| 37 |
+
1 1 0.000243
|
| 38 |
+
1 2 0.000186
|
| 39 |
+
1 3 0.000157
|
| 40 |
+
1 4 0.000152
|
| 41 |
+
1 5 0.000161
|
| 42 |
+
1 6 0.000173
|
| 43 |
+
1 7 0.000180
|
| 44 |
+
1 8 0.000182
|
| 45 |
+
1 9 0.000177
|
| 46 |
+
2 0 0.000321
|
| 47 |
+
2 1 0.000250
|
| 48 |
+
2 2 0.000193
|
| 49 |
+
2 3 0.000150
|
| 50 |
+
2 4 0.000125
|
| 51 |
+
2 5 0.000114
|
| 52 |
+
2 6 0.000117
|
| 53 |
+
2 7 0.000126
|
| 54 |
+
2 8 0.000136
|
| 55 |
+
2 9 0.000143
|
| 56 |
+
3 0 0.000128
|
| 57 |
+
3 1 0.000123
|
| 58 |
+
3 2 0.000119
|
| 59 |
+
3 3 0.000116
|
| 60 |
+
3 4 0.000113
|
| 61 |
+
3 5 0.000111
|
| 62 |
+
3 6 0.000110
|
| 63 |
+
3 7 0.000109
|
| 64 |
+
3 8 0.000109
|
| 65 |
+
3 9 0.000109
|
| 66 |
+
4 0 0.000872
|
| 67 |
+
4 1 0.000360
|
| 68 |
+
4 2 0.000113
|
| 69 |
+
4 3 0.000105
|
| 70 |
+
4 4 0.000210
|
| 71 |
+
4 5 0.000290
|
| 72 |
+
4 6 0.000294
|
| 73 |
+
4 7 0.000240
|
| 74 |
+
4 8 0.000164
|
| 75 |
+
4 9 0.000099
|
| 76 |
+
5 0 0.001232
|
| 77 |
+
5 1 0.000692
|
| 78 |
+
5 2 0.000371
|
| 79 |
+
5 3 0.000327
|
| 80 |
+
5 4 0.000441
|
| 81 |
+
5 5 0.000525
|
| 82 |
+
5 6 0.000526
|
| 83 |
+
5 7 0.000465
|
| 84 |
+
5 8 0.000381
|
| 85 |
+
5 9 0.000310
|
| 86 |
+
6 0 0.000248
|
| 87 |
+
6 1 0.000207
|
| 88 |
+
6 2 0.000191
|
| 89 |
+
6 3 0.000197
|
| 90 |
+
6 4 0.000206
|
| 91 |
+
6 5 0.000206
|
| 92 |
+
6 6 0.000199
|
| 93 |
+
6 7 0.000191
|
| 94 |
+
6 8 0.000186
|
| 95 |
+
6 9 0.000186
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.001464
|
| 107 |
+
8 1 0.001098
|
| 108 |
+
8 2 0.000787
|
| 109 |
+
8 3 0.000548
|
| 110 |
+
8 4 0.000392
|
| 111 |
+
8 5 0.000323
|
| 112 |
+
8 6 0.000328
|
| 113 |
+
8 7 0.000372
|
| 114 |
+
8 8 0.000415
|
| 115 |
+
8 9 0.000431
|
| 116 |
+
9 0 0.000338
|
| 117 |
+
9 1 0.000188
|
| 118 |
+
9 2 0.000118
|
| 119 |
+
9 3 0.000117
|
| 120 |
+
9 4 0.000144
|
| 121 |
+
9 5 0.000164
|
| 122 |
+
9 6 0.000168
|
| 123 |
+
9 7 0.000159
|
| 124 |
+
9 8 0.000141
|
| 125 |
+
9 9 0.000121
|
| 126 |
+
10 0 0.003503
|
| 127 |
+
10 1 0.002924
|
| 128 |
+
10 2 0.002370
|
| 129 |
+
10 3 0.001836
|
| 130 |
+
10 4 0.001326
|
| 131 |
+
10 5 0.000873
|
| 132 |
+
10 6 0.000549
|
| 133 |
+
10 7 0.000463
|
| 134 |
+
10 8 0.000665
|
| 135 |
+
10 9 0.000907
|
xenium_skin_mixed/sample15/log/Bach1.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Bach1
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 641 0.621357 0.000147 100 false 10 0.006953 0.001525
|
| 13 |
+
1 680 641 0.386412 0.000054 100 false 10 0.000381 0.000109
|
| 14 |
+
2 5552 641 0.820313 0.000329 100 false 10 0.002193 0.000676
|
| 15 |
+
3 3231 641 0.404842 0.000136 100 false 10 0.000194 0.000166
|
| 16 |
+
4 87 641 0.638915 0.000032 100 false 10 0.000284 0.000080
|
| 17 |
+
5 96 641 0.927426 0.000096 100 false 10 0.000210 0.000133
|
| 18 |
+
6 1210 641 0.794866 0.000256 100 false 10 0.001000 0.000299
|
| 19 |
+
7 3 641 0.182174 0.000085 100 false 10 0.001536 0.000192
|
| 20 |
+
8 448 641 0.620780 0.000134 100 false 10 0.000597 0.000145
|
| 21 |
+
9 332 641 0.928042 0.000359 100 false 10 0.000650 0.000407
|
| 22 |
+
10 82 641 0.489847 0.000078 100 false 10 0.004256 0.000885
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.006953
|
| 27 |
+
0 1 0.005133
|
| 28 |
+
0 2 0.003408
|
| 29 |
+
0 3 0.001894
|
| 30 |
+
0 4 0.000781
|
| 31 |
+
0 5 0.000268
|
| 32 |
+
0 6 0.000416
|
| 33 |
+
0 7 0.000943
|
| 34 |
+
0 8 0.001389
|
| 35 |
+
0 9 0.001525
|
| 36 |
+
1 0 0.000381
|
| 37 |
+
1 1 0.000272
|
| 38 |
+
1 2 0.000174
|
| 39 |
+
1 3 0.000105
|
| 40 |
+
1 4 0.000073
|
| 41 |
+
1 5 0.000068
|
| 42 |
+
1 6 0.000077
|
| 43 |
+
1 7 0.000090
|
| 44 |
+
1 8 0.000101
|
| 45 |
+
1 9 0.000109
|
| 46 |
+
2 0 0.002193
|
| 47 |
+
2 1 0.001435
|
| 48 |
+
2 2 0.000900
|
| 49 |
+
2 3 0.000575
|
| 50 |
+
2 4 0.000429
|
| 51 |
+
2 5 0.000414
|
| 52 |
+
2 6 0.000476
|
| 53 |
+
2 7 0.000563
|
| 54 |
+
2 8 0.000636
|
| 55 |
+
2 9 0.000676
|
| 56 |
+
3 0 0.000194
|
| 57 |
+
3 1 0.000187
|
| 58 |
+
3 2 0.000184
|
| 59 |
+
3 3 0.000181
|
| 60 |
+
3 4 0.000179
|
| 61 |
+
3 5 0.000176
|
| 62 |
+
3 6 0.000173
|
| 63 |
+
3 7 0.000170
|
| 64 |
+
3 8 0.000168
|
| 65 |
+
3 9 0.000166
|
| 66 |
+
4 0 0.000284
|
| 67 |
+
4 1 0.000159
|
| 68 |
+
4 2 0.000089
|
| 69 |
+
4 3 0.000066
|
| 70 |
+
4 4 0.000075
|
| 71 |
+
4 5 0.000095
|
| 72 |
+
4 6 0.000107
|
| 73 |
+
4 7 0.000107
|
| 74 |
+
4 8 0.000096
|
| 75 |
+
4 9 0.000080
|
| 76 |
+
5 0 0.000210
|
| 77 |
+
5 1 0.000182
|
| 78 |
+
5 2 0.000161
|
| 79 |
+
5 3 0.000145
|
| 80 |
+
5 4 0.000136
|
| 81 |
+
5 5 0.000133
|
| 82 |
+
5 6 0.000132
|
| 83 |
+
5 7 0.000133
|
| 84 |
+
5 8 0.000133
|
| 85 |
+
5 9 0.000133
|
| 86 |
+
6 0 0.001000
|
| 87 |
+
6 1 0.000856
|
| 88 |
+
6 2 0.000729
|
| 89 |
+
6 3 0.000621
|
| 90 |
+
6 4 0.000530
|
| 91 |
+
6 5 0.000455
|
| 92 |
+
6 6 0.000396
|
| 93 |
+
6 7 0.000352
|
| 94 |
+
6 8 0.000320
|
| 95 |
+
6 9 0.000299
|
| 96 |
+
7 0 0.001536
|
| 97 |
+
7 1 0.000848
|
| 98 |
+
7 2 0.000329
|
| 99 |
+
7 3 0.000058
|
| 100 |
+
7 4 0.000046
|
| 101 |
+
7 5 0.000185
|
| 102 |
+
7 6 0.000315
|
| 103 |
+
7 7 0.000345
|
| 104 |
+
7 8 0.000291
|
| 105 |
+
7 9 0.000192
|
| 106 |
+
8 0 0.000597
|
| 107 |
+
8 1 0.000520
|
| 108 |
+
8 2 0.000444
|
| 109 |
+
8 3 0.000371
|
| 110 |
+
8 4 0.000303
|
| 111 |
+
8 5 0.000241
|
| 112 |
+
8 6 0.000190
|
| 113 |
+
8 7 0.000155
|
| 114 |
+
8 8 0.000140
|
| 115 |
+
8 9 0.000145
|
| 116 |
+
9 0 0.000650
|
| 117 |
+
9 1 0.000484
|
| 118 |
+
9 2 0.000509
|
| 119 |
+
9 3 0.000516
|
| 120 |
+
9 4 0.000470
|
| 121 |
+
9 5 0.000421
|
| 122 |
+
9 6 0.000404
|
| 123 |
+
9 7 0.000411
|
| 124 |
+
9 8 0.000417
|
| 125 |
+
9 9 0.000407
|
| 126 |
+
10 0 0.004256
|
| 127 |
+
10 1 0.002892
|
| 128 |
+
10 2 0.001696
|
| 129 |
+
10 3 0.000787
|
| 130 |
+
10 4 0.000268
|
| 131 |
+
10 5 0.000149
|
| 132 |
+
10 6 0.000309
|
| 133 |
+
10 7 0.000563
|
| 134 |
+
10 8 0.000776
|
| 135 |
+
10 9 0.000885
|
xenium_skin_mixed/sample15/log/Bap1.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Bap1
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 640 0.423885 0.000012 100 false 10 0.000115 0.000043
|
| 13 |
+
1 680 640 0.498487 0.000038 100 false 10 0.000064 0.000052
|
| 14 |
+
2 5552 640 0.642043 0.000043 100 false 10 0.000053 0.000046
|
| 15 |
+
3 3231 640 0.509807 0.000046 100 false 10 0.000108 0.000070
|
| 16 |
+
4 87 640 0.000000 0.000015 100 false 10 0.000458 0.000026
|
| 17 |
+
5 96 640 0.847570 0.000006 100 false 10 0.000009 0.000008
|
| 18 |
+
6 1210 640 0.331936 0.000047 100 false 10 0.000047 0.000047
|
| 19 |
+
7 3 640 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 640 0.368227 0.000047 100 false 10 0.000086 0.000056
|
| 21 |
+
9 332 640 0.614468 0.000037 100 false 10 0.000039 0.000038
|
| 22 |
+
10 82 640 0.478863 0.000055 100 false 10 0.000286 0.000063
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000115
|
| 27 |
+
0 1 0.000106
|
| 28 |
+
0 2 0.000097
|
| 29 |
+
0 3 0.000088
|
| 30 |
+
0 4 0.000080
|
| 31 |
+
0 5 0.000072
|
| 32 |
+
0 6 0.000064
|
| 33 |
+
0 7 0.000056
|
| 34 |
+
0 8 0.000050
|
| 35 |
+
0 9 0.000043
|
| 36 |
+
1 0 0.000064
|
| 37 |
+
1 1 0.000061
|
| 38 |
+
1 2 0.000060
|
| 39 |
+
1 3 0.000059
|
| 40 |
+
1 4 0.000057
|
| 41 |
+
1 5 0.000056
|
| 42 |
+
1 6 0.000055
|
| 43 |
+
1 7 0.000054
|
| 44 |
+
1 8 0.000053
|
| 45 |
+
1 9 0.000052
|
| 46 |
+
2 0 0.000053
|
| 47 |
+
2 1 0.000049
|
| 48 |
+
2 2 0.000046
|
| 49 |
+
2 3 0.000045
|
| 50 |
+
2 4 0.000045
|
| 51 |
+
2 5 0.000046
|
| 52 |
+
2 6 0.000046
|
| 53 |
+
2 7 0.000046
|
| 54 |
+
2 8 0.000046
|
| 55 |
+
2 9 0.000046
|
| 56 |
+
3 0 0.000108
|
| 57 |
+
3 1 0.000102
|
| 58 |
+
3 2 0.000097
|
| 59 |
+
3 3 0.000092
|
| 60 |
+
3 4 0.000087
|
| 61 |
+
3 5 0.000083
|
| 62 |
+
3 6 0.000079
|
| 63 |
+
3 7 0.000076
|
| 64 |
+
3 8 0.000073
|
| 65 |
+
3 9 0.000070
|
| 66 |
+
4 0 0.000458
|
| 67 |
+
4 1 0.000377
|
| 68 |
+
4 2 0.000295
|
| 69 |
+
4 3 0.000217
|
| 70 |
+
4 4 0.000146
|
| 71 |
+
4 5 0.000088
|
| 72 |
+
4 6 0.000047
|
| 73 |
+
4 7 0.000025
|
| 74 |
+
4 8 0.000019
|
| 75 |
+
4 9 0.000026
|
| 76 |
+
5 0 0.000009
|
| 77 |
+
5 1 0.000009
|
| 78 |
+
5 2 0.000009
|
| 79 |
+
5 3 0.000009
|
| 80 |
+
5 4 0.000008
|
| 81 |
+
5 5 0.000008
|
| 82 |
+
5 6 0.000008
|
| 83 |
+
5 7 0.000008
|
| 84 |
+
5 8 0.000008
|
| 85 |
+
5 9 0.000008
|
| 86 |
+
6 0 0.000047
|
| 87 |
+
6 1 0.000047
|
| 88 |
+
6 2 0.000047
|
| 89 |
+
6 3 0.000047
|
| 90 |
+
6 4 0.000047
|
| 91 |
+
6 5 0.000047
|
| 92 |
+
6 6 0.000047
|
| 93 |
+
6 7 0.000047
|
| 94 |
+
6 8 0.000047
|
| 95 |
+
6 9 0.000047
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000086
|
| 107 |
+
8 1 0.000073
|
| 108 |
+
8 2 0.000067
|
| 109 |
+
8 3 0.000065
|
| 110 |
+
8 4 0.000064
|
| 111 |
+
8 5 0.000063
|
| 112 |
+
8 6 0.000061
|
| 113 |
+
8 7 0.000059
|
| 114 |
+
8 8 0.000057
|
| 115 |
+
8 9 0.000056
|
| 116 |
+
9 0 0.000039
|
| 117 |
+
9 1 0.000039
|
| 118 |
+
9 2 0.000039
|
| 119 |
+
9 3 0.000039
|
| 120 |
+
9 4 0.000039
|
| 121 |
+
9 5 0.000038
|
| 122 |
+
9 6 0.000038
|
| 123 |
+
9 7 0.000038
|
| 124 |
+
9 8 0.000038
|
| 125 |
+
9 9 0.000038
|
| 126 |
+
10 0 0.000286
|
| 127 |
+
10 1 0.000231
|
| 128 |
+
10 2 0.000184
|
| 129 |
+
10 3 0.000147
|
| 130 |
+
10 4 0.000118
|
| 131 |
+
10 5 0.000097
|
| 132 |
+
10 6 0.000081
|
| 133 |
+
10 7 0.000071
|
| 134 |
+
10 8 0.000065
|
| 135 |
+
10 9 0.000063
|
xenium_skin_mixed/sample15/log/Bcam.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Bcam
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 627 0.230359 0.000014 100 false 10 0.000025 0.000014
|
| 13 |
+
1 680 627 0.912798 0.001811 100 false 10 0.010826 0.002676
|
| 14 |
+
2 5552 627 0.943921 0.002632 100 false 10 0.075170 0.021415
|
| 15 |
+
3 3231 627 0.610965 0.000232 100 false 10 0.000578 0.000293
|
| 16 |
+
4 87 627 0.696034 0.000216 100 false 10 0.001154 0.000403
|
| 17 |
+
5 96 627 0.953781 0.000112 100 false 10 0.001551 0.000402
|
| 18 |
+
6 1210 627 0.746569 0.000085 100 false 10 0.000169 0.000122
|
| 19 |
+
7 3 627 0.177478 0.000038 100 false 10 0.000161 0.000028
|
| 20 |
+
8 448 627 0.913713 0.002322 100 false 10 0.021613 0.006998
|
| 21 |
+
9 332 627 0.974496 0.000685 100 false 10 0.004842 0.000994
|
| 22 |
+
10 82 627 0.505774 0.000003 100 false 10 0.000111 0.000011
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000025
|
| 27 |
+
0 1 0.000022
|
| 28 |
+
0 2 0.000020
|
| 29 |
+
0 3 0.000017
|
| 30 |
+
0 4 0.000016
|
| 31 |
+
0 5 0.000015
|
| 32 |
+
0 6 0.000014
|
| 33 |
+
0 7 0.000014
|
| 34 |
+
0 8 0.000014
|
| 35 |
+
0 9 0.000014
|
| 36 |
+
1 0 0.010826
|
| 37 |
+
1 1 0.008523
|
| 38 |
+
1 2 0.006940
|
| 39 |
+
1 3 0.005868
|
| 40 |
+
1 4 0.005077
|
| 41 |
+
1 5 0.004423
|
| 42 |
+
1 6 0.003848
|
| 43 |
+
1 7 0.003351
|
| 44 |
+
1 8 0.002952
|
| 45 |
+
1 9 0.002676
|
| 46 |
+
2 0 0.075170
|
| 47 |
+
2 1 0.058641
|
| 48 |
+
2 2 0.045651
|
| 49 |
+
2 3 0.035997
|
| 50 |
+
2 4 0.029308
|
| 51 |
+
2 5 0.025124
|
| 52 |
+
2 6 0.022914
|
| 53 |
+
2 7 0.022019
|
| 54 |
+
2 8 0.021713
|
| 55 |
+
2 9 0.021415
|
| 56 |
+
3 0 0.000578
|
| 57 |
+
3 1 0.000471
|
| 58 |
+
3 2 0.000386
|
| 59 |
+
3 3 0.000325
|
| 60 |
+
3 4 0.000287
|
| 61 |
+
3 5 0.000270
|
| 62 |
+
3 6 0.000267
|
| 63 |
+
3 7 0.000274
|
| 64 |
+
3 8 0.000284
|
| 65 |
+
3 9 0.000293
|
| 66 |
+
4 0 0.001154
|
| 67 |
+
4 1 0.000659
|
| 68 |
+
4 2 0.000388
|
| 69 |
+
4 3 0.000283
|
| 70 |
+
4 4 0.000287
|
| 71 |
+
4 5 0.000347
|
| 72 |
+
4 6 0.000409
|
| 73 |
+
4 7 0.000438
|
| 74 |
+
4 8 0.000432
|
| 75 |
+
4 9 0.000403
|
| 76 |
+
5 0 0.001551
|
| 77 |
+
5 1 0.001071
|
| 78 |
+
5 2 0.000692
|
| 79 |
+
5 3 0.000448
|
| 80 |
+
5 4 0.000349
|
| 81 |
+
5 5 0.000359
|
| 82 |
+
5 6 0.000403
|
| 83 |
+
5 7 0.000429
|
| 84 |
+
5 8 0.000425
|
| 85 |
+
5 9 0.000402
|
| 86 |
+
6 0 0.000169
|
| 87 |
+
6 1 0.000156
|
| 88 |
+
6 2 0.000146
|
| 89 |
+
6 3 0.000138
|
| 90 |
+
6 4 0.000131
|
| 91 |
+
6 5 0.000127
|
| 92 |
+
6 6 0.000124
|
| 93 |
+
6 7 0.000123
|
| 94 |
+
6 8 0.000122
|
| 95 |
+
6 9 0.000122
|
| 96 |
+
7 0 0.000161
|
| 97 |
+
7 1 0.000106
|
| 98 |
+
7 2 0.000062
|
| 99 |
+
7 3 0.000032
|
| 100 |
+
7 4 0.000015
|
| 101 |
+
7 5 0.000010
|
| 102 |
+
7 6 0.000014
|
| 103 |
+
7 7 0.000021
|
| 104 |
+
7 8 0.000026
|
| 105 |
+
7 9 0.000028
|
| 106 |
+
8 0 0.021613
|
| 107 |
+
8 1 0.015873
|
| 108 |
+
8 2 0.011086
|
| 109 |
+
8 3 0.007513
|
| 110 |
+
8 4 0.005445
|
| 111 |
+
8 5 0.004996
|
| 112 |
+
8 6 0.005774
|
| 113 |
+
8 7 0.006819
|
| 114 |
+
8 8 0.007294
|
| 115 |
+
8 9 0.006998
|
| 116 |
+
9 0 0.004842
|
| 117 |
+
9 1 0.004174
|
| 118 |
+
9 2 0.003567
|
| 119 |
+
9 3 0.003005
|
| 120 |
+
9 4 0.002496
|
| 121 |
+
9 5 0.002048
|
| 122 |
+
9 6 0.001661
|
| 123 |
+
9 7 0.001344
|
| 124 |
+
9 8 0.001114
|
| 125 |
+
9 9 0.000994
|
| 126 |
+
10 0 0.000111
|
| 127 |
+
10 1 0.000052
|
| 128 |
+
10 2 0.000018
|
| 129 |
+
10 3 0.000012
|
| 130 |
+
10 4 0.000025
|
| 131 |
+
10 5 0.000035
|
| 132 |
+
10 6 0.000034
|
| 133 |
+
10 7 0.000026
|
| 134 |
+
10 8 0.000016
|
| 135 |
+
10 9 0.000011
|
xenium_skin_mixed/sample15/log/Bcl2l11.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Bcl2l11
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 662 0.645678 0.000030 100 false 10 0.000215 0.000067
|
| 13 |
+
1 680 662 0.376044 0.000037 100 false 10 0.000052 0.000040
|
| 14 |
+
2 5552 662 0.703430 0.000059 100 false 10 0.000362 0.000151
|
| 15 |
+
3 3231 662 0.520096 0.000026 100 false 10 0.000053 0.000032
|
| 16 |
+
4 87 662 0.646805 0.000002 100 false 10 0.000002 0.000002
|
| 17 |
+
5 96 662 0.582248 0.000029 100 false 10 0.000051 0.000039
|
| 18 |
+
6 1210 662 0.719397 0.000038 100 false 10 0.000066 0.000043
|
| 19 |
+
7 3 662 0.150258 0.000000 100 false 10 0.000102 0.000007
|
| 20 |
+
8 448 662 0.495837 0.000005 100 false 10 0.000007 0.000007
|
| 21 |
+
9 332 662 0.661106 0.000033 100 false 10 0.000049 0.000045
|
| 22 |
+
10 82 662 0.502459 0.000033 100 false 10 0.000942 0.000034
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000215
|
| 27 |
+
0 1 0.000136
|
| 28 |
+
0 2 0.000078
|
| 29 |
+
0 3 0.000043
|
| 30 |
+
0 4 0.000032
|
| 31 |
+
0 5 0.000037
|
| 32 |
+
0 6 0.000049
|
| 33 |
+
0 7 0.000060
|
| 34 |
+
0 8 0.000066
|
| 35 |
+
0 9 0.000067
|
| 36 |
+
1 0 0.000052
|
| 37 |
+
1 1 0.000050
|
| 38 |
+
1 2 0.000048
|
| 39 |
+
1 3 0.000047
|
| 40 |
+
1 4 0.000045
|
| 41 |
+
1 5 0.000044
|
| 42 |
+
1 6 0.000043
|
| 43 |
+
1 7 0.000042
|
| 44 |
+
1 8 0.000041
|
| 45 |
+
1 9 0.000040
|
| 46 |
+
2 0 0.000362
|
| 47 |
+
2 1 0.000290
|
| 48 |
+
2 2 0.000234
|
| 49 |
+
2 3 0.000194
|
| 50 |
+
2 4 0.000169
|
| 51 |
+
2 5 0.000155
|
| 52 |
+
2 6 0.000149
|
| 53 |
+
2 7 0.000148
|
| 54 |
+
2 8 0.000149
|
| 55 |
+
2 9 0.000151
|
| 56 |
+
3 0 0.000053
|
| 57 |
+
3 1 0.000050
|
| 58 |
+
3 2 0.000048
|
| 59 |
+
3 3 0.000045
|
| 60 |
+
3 4 0.000043
|
| 61 |
+
3 5 0.000040
|
| 62 |
+
3 6 0.000038
|
| 63 |
+
3 7 0.000036
|
| 64 |
+
3 8 0.000034
|
| 65 |
+
3 9 0.000032
|
| 66 |
+
4 0 0.000002
|
| 67 |
+
4 1 0.000002
|
| 68 |
+
4 2 0.000002
|
| 69 |
+
4 3 0.000002
|
| 70 |
+
4 4 0.000002
|
| 71 |
+
4 5 0.000002
|
| 72 |
+
4 6 0.000002
|
| 73 |
+
4 7 0.000002
|
| 74 |
+
4 8 0.000002
|
| 75 |
+
4 9 0.000002
|
| 76 |
+
5 0 0.000051
|
| 77 |
+
5 1 0.000049
|
| 78 |
+
5 2 0.000046
|
| 79 |
+
5 3 0.000044
|
| 80 |
+
5 4 0.000042
|
| 81 |
+
5 5 0.000041
|
| 82 |
+
5 6 0.000040
|
| 83 |
+
5 7 0.000040
|
| 84 |
+
5 8 0.000039
|
| 85 |
+
5 9 0.000039
|
| 86 |
+
6 0 0.000066
|
| 87 |
+
6 1 0.000062
|
| 88 |
+
6 2 0.000058
|
| 89 |
+
6 3 0.000055
|
| 90 |
+
6 4 0.000052
|
| 91 |
+
6 5 0.000049
|
| 92 |
+
6 6 0.000047
|
| 93 |
+
6 7 0.000045
|
| 94 |
+
6 8 0.000044
|
| 95 |
+
6 9 0.000043
|
| 96 |
+
7 0 0.000102
|
| 97 |
+
7 1 0.000052
|
| 98 |
+
7 2 0.000025
|
| 99 |
+
7 3 0.000017
|
| 100 |
+
7 4 0.000020
|
| 101 |
+
7 5 0.000024
|
| 102 |
+
7 6 0.000024
|
| 103 |
+
7 7 0.000020
|
| 104 |
+
7 8 0.000014
|
| 105 |
+
7 9 0.000007
|
| 106 |
+
8 0 0.000007
|
| 107 |
+
8 1 0.000007
|
| 108 |
+
8 2 0.000007
|
| 109 |
+
8 3 0.000007
|
| 110 |
+
8 4 0.000007
|
| 111 |
+
8 5 0.000007
|
| 112 |
+
8 6 0.000007
|
| 113 |
+
8 7 0.000007
|
| 114 |
+
8 8 0.000007
|
| 115 |
+
8 9 0.000007
|
| 116 |
+
9 0 0.000049
|
| 117 |
+
9 1 0.000048
|
| 118 |
+
9 2 0.000048
|
| 119 |
+
9 3 0.000047
|
| 120 |
+
9 4 0.000047
|
| 121 |
+
9 5 0.000046
|
| 122 |
+
9 6 0.000046
|
| 123 |
+
9 7 0.000045
|
| 124 |
+
9 8 0.000045
|
| 125 |
+
9 9 0.000045
|
| 126 |
+
10 0 0.000942
|
| 127 |
+
10 1 0.000755
|
| 128 |
+
10 2 0.000573
|
| 129 |
+
10 3 0.000407
|
| 130 |
+
10 4 0.000269
|
| 131 |
+
10 5 0.000164
|
| 132 |
+
10 6 0.000095
|
| 133 |
+
10 7 0.000055
|
| 134 |
+
10 8 0.000037
|
| 135 |
+
10 9 0.000034
|
xenium_skin_mixed/sample15/log/Bcl7b.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Bcl7b
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 649 0.776837 0.000094 100 false 10 0.001965 0.000384
|
| 13 |
+
1 680 649 0.561448 0.000091 100 false 10 0.001191 0.000242
|
| 14 |
+
2 5552 649 0.530474 0.000085 100 false 10 0.000118 0.000093
|
| 15 |
+
3 3231 649 0.725669 0.000114 100 false 10 0.000136 0.000127
|
| 16 |
+
4 87 649 0.534016 0.000044 100 false 10 0.000319 0.000094
|
| 17 |
+
5 96 649 0.937657 0.000045 100 false 10 0.000211 0.000102
|
| 18 |
+
6 1210 649 0.629111 0.000132 100 false 10 0.000167 0.000141
|
| 19 |
+
7 3 649 0.202895 0.000012 100 false 10 0.000244 0.000034
|
| 20 |
+
8 448 649 0.692708 0.000198 100 false 10 0.000986 0.000346
|
| 21 |
+
9 332 649 0.757890 0.000103 100 false 10 0.000195 0.000115
|
| 22 |
+
10 82 649 0.468904 0.000039 100 false 10 0.000749 0.000078
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.001965
|
| 27 |
+
0 1 0.001499
|
| 28 |
+
0 2 0.001077
|
| 29 |
+
0 3 0.000720
|
| 30 |
+
0 4 0.000446
|
| 31 |
+
0 5 0.000274
|
| 32 |
+
0 6 0.000208
|
| 33 |
+
0 7 0.000232
|
| 34 |
+
0 8 0.000306
|
| 35 |
+
0 9 0.000384
|
| 36 |
+
1 0 0.001191
|
| 37 |
+
1 1 0.000929
|
| 38 |
+
1 2 0.000684
|
| 39 |
+
1 3 0.000465
|
| 40 |
+
1 4 0.000287
|
| 41 |
+
1 5 0.000164
|
| 42 |
+
1 6 0.000109
|
| 43 |
+
1 7 0.000123
|
| 44 |
+
1 8 0.000181
|
| 45 |
+
1 9 0.000242
|
| 46 |
+
2 0 0.000118
|
| 47 |
+
2 1 0.000103
|
| 48 |
+
2 2 0.000096
|
| 49 |
+
2 3 0.000095
|
| 50 |
+
2 4 0.000097
|
| 51 |
+
2 5 0.000099
|
| 52 |
+
2 6 0.000099
|
| 53 |
+
2 7 0.000097
|
| 54 |
+
2 8 0.000095
|
| 55 |
+
2 9 0.000093
|
| 56 |
+
3 0 0.000136
|
| 57 |
+
3 1 0.000134
|
| 58 |
+
3 2 0.000132
|
| 59 |
+
3 3 0.000131
|
| 60 |
+
3 4 0.000130
|
| 61 |
+
3 5 0.000129
|
| 62 |
+
3 6 0.000129
|
| 63 |
+
3 7 0.000128
|
| 64 |
+
3 8 0.000127
|
| 65 |
+
3 9 0.000127
|
| 66 |
+
4 0 0.000319
|
| 67 |
+
4 1 0.000149
|
| 68 |
+
4 2 0.000085
|
| 69 |
+
4 3 0.000131
|
| 70 |
+
4 4 0.000164
|
| 71 |
+
4 5 0.000137
|
| 72 |
+
4 6 0.000096
|
| 73 |
+
4 7 0.000077
|
| 74 |
+
4 8 0.000081
|
| 75 |
+
4 9 0.000094
|
| 76 |
+
5 0 0.000211
|
| 77 |
+
5 1 0.000176
|
| 78 |
+
5 2 0.000152
|
| 79 |
+
5 3 0.000137
|
| 80 |
+
5 4 0.000129
|
| 81 |
+
5 5 0.000125
|
| 82 |
+
5 6 0.000121
|
| 83 |
+
5 7 0.000116
|
| 84 |
+
5 8 0.000109
|
| 85 |
+
5 9 0.000102
|
| 86 |
+
6 0 0.000167
|
| 87 |
+
6 1 0.000155
|
| 88 |
+
6 2 0.000147
|
| 89 |
+
6 3 0.000142
|
| 90 |
+
6 4 0.000140
|
| 91 |
+
6 5 0.000139
|
| 92 |
+
6 6 0.000140
|
| 93 |
+
6 7 0.000140
|
| 94 |
+
6 8 0.000141
|
| 95 |
+
6 9 0.000141
|
| 96 |
+
7 0 0.000244
|
| 97 |
+
7 1 0.000196
|
| 98 |
+
7 2 0.000099
|
| 99 |
+
7 3 0.000046
|
| 100 |
+
7 4 0.000040
|
| 101 |
+
7 5 0.000029
|
| 102 |
+
7 6 0.000019
|
| 103 |
+
7 7 0.000025
|
| 104 |
+
7 8 0.000035
|
| 105 |
+
7 9 0.000034
|
| 106 |
+
8 0 0.000986
|
| 107 |
+
8 1 0.000666
|
| 108 |
+
8 2 0.000450
|
| 109 |
+
8 3 0.000349
|
| 110 |
+
8 4 0.000341
|
| 111 |
+
8 5 0.000373
|
| 112 |
+
8 6 0.000400
|
| 113 |
+
8 7 0.000403
|
| 114 |
+
8 8 0.000382
|
| 115 |
+
8 9 0.000346
|
| 116 |
+
9 0 0.000195
|
| 117 |
+
9 1 0.000169
|
| 118 |
+
9 2 0.000150
|
| 119 |
+
9 3 0.000137
|
| 120 |
+
9 4 0.000127
|
| 121 |
+
9 5 0.000121
|
| 122 |
+
9 6 0.000118
|
| 123 |
+
9 7 0.000116
|
| 124 |
+
9 8 0.000115
|
| 125 |
+
9 9 0.000115
|
| 126 |
+
10 0 0.000749
|
| 127 |
+
10 1 0.000636
|
| 128 |
+
10 2 0.000529
|
| 129 |
+
10 3 0.000429
|
| 130 |
+
10 4 0.000340
|
| 131 |
+
10 5 0.000263
|
| 132 |
+
10 6 0.000199
|
| 133 |
+
10 7 0.000147
|
| 134 |
+
10 8 0.000107
|
| 135 |
+
10 9 0.000078
|
xenium_skin_mixed/sample15/log/Bclaf1.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Bclaf1
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 639 0.698162 0.000100 100 false 10 0.000395 0.000134
|
| 13 |
+
1 680 639 0.341603 0.000135 100 false 10 0.000903 0.000252
|
| 14 |
+
2 5552 639 0.848609 0.000150 100 false 10 0.000462 0.000243
|
| 15 |
+
3 3231 639 0.693458 0.000161 100 false 10 0.000328 0.000180
|
| 16 |
+
4 87 639 0.595765 0.000059 100 false 10 0.016463 0.002732
|
| 17 |
+
5 96 639 0.946250 0.000088 100 false 10 0.000432 0.000143
|
| 18 |
+
6 1210 639 0.522699 0.000132 100 false 10 0.000187 0.000147
|
| 19 |
+
7 3 639 0.141132 0.000000 100 false 10 0.000045 0.000008
|
| 20 |
+
8 448 639 0.668441 0.000169 100 false 10 0.000330 0.000185
|
| 21 |
+
9 332 639 0.803405 0.000080 100 false 10 0.000365 0.000125
|
| 22 |
+
10 82 639 0.525604 0.000145 100 false 10 0.000351 0.000156
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000395
|
| 27 |
+
0 1 0.000209
|
| 28 |
+
0 2 0.000314
|
| 29 |
+
0 3 0.000259
|
| 30 |
+
0 4 0.000172
|
| 31 |
+
0 5 0.000159
|
| 32 |
+
0 6 0.000196
|
| 33 |
+
0 7 0.000199
|
| 34 |
+
0 8 0.000163
|
| 35 |
+
0 9 0.000134
|
| 36 |
+
1 0 0.000903
|
| 37 |
+
1 1 0.000567
|
| 38 |
+
1 2 0.000323
|
| 39 |
+
1 3 0.000205
|
| 40 |
+
1 4 0.000213
|
| 41 |
+
1 5 0.000280
|
| 42 |
+
1 6 0.000329
|
| 43 |
+
1 7 0.000334
|
| 44 |
+
1 8 0.000301
|
| 45 |
+
1 9 0.000252
|
| 46 |
+
2 0 0.000462
|
| 47 |
+
2 1 0.000358
|
| 48 |
+
2 2 0.000304
|
| 49 |
+
2 3 0.000283
|
| 50 |
+
2 4 0.000280
|
| 51 |
+
2 5 0.000281
|
| 52 |
+
2 6 0.000277
|
| 53 |
+
2 7 0.000267
|
| 54 |
+
2 8 0.000255
|
| 55 |
+
2 9 0.000243
|
| 56 |
+
3 0 0.000328
|
| 57 |
+
3 1 0.000303
|
| 58 |
+
3 2 0.000279
|
| 59 |
+
3 3 0.000258
|
| 60 |
+
3 4 0.000239
|
| 61 |
+
3 5 0.000223
|
| 62 |
+
3 6 0.000209
|
| 63 |
+
3 7 0.000197
|
| 64 |
+
3 8 0.000187
|
| 65 |
+
3 9 0.000180
|
| 66 |
+
4 0 0.016463
|
| 67 |
+
4 1 0.012244
|
| 68 |
+
4 2 0.008124
|
| 69 |
+
4 3 0.004459
|
| 70 |
+
4 4 0.001700
|
| 71 |
+
4 5 0.000260
|
| 72 |
+
4 6 0.000202
|
| 73 |
+
4 7 0.001035
|
| 74 |
+
4 8 0.002035
|
| 75 |
+
4 9 0.002732
|
| 76 |
+
5 0 0.000432
|
| 77 |
+
5 1 0.000332
|
| 78 |
+
5 2 0.000257
|
| 79 |
+
5 3 0.000216
|
| 80 |
+
5 4 0.000203
|
| 81 |
+
5 5 0.000200
|
| 82 |
+
5 6 0.000193
|
| 83 |
+
5 7 0.000179
|
| 84 |
+
5 8 0.000160
|
| 85 |
+
5 9 0.000143
|
| 86 |
+
6 0 0.000187
|
| 87 |
+
6 1 0.000175
|
| 88 |
+
6 2 0.000168
|
| 89 |
+
6 3 0.000163
|
| 90 |
+
6 4 0.000160
|
| 91 |
+
6 5 0.000158
|
| 92 |
+
6 6 0.000155
|
| 93 |
+
6 7 0.000152
|
| 94 |
+
6 8 0.000149
|
| 95 |
+
6 9 0.000147
|
| 96 |
+
7 0 0.000045
|
| 97 |
+
7 1 0.000025
|
| 98 |
+
7 2 0.000010
|
| 99 |
+
7 3 0.000003
|
| 100 |
+
7 4 0.000001
|
| 101 |
+
7 5 0.000003
|
| 102 |
+
7 6 0.000006
|
| 103 |
+
7 7 0.000008
|
| 104 |
+
7 8 0.000009
|
| 105 |
+
7 9 0.000008
|
| 106 |
+
8 0 0.000330
|
| 107 |
+
8 1 0.000264
|
| 108 |
+
8 2 0.000220
|
| 109 |
+
8 3 0.000201
|
| 110 |
+
8 4 0.000198
|
| 111 |
+
8 5 0.000201
|
| 112 |
+
8 6 0.000202
|
| 113 |
+
8 7 0.000198
|
| 114 |
+
8 8 0.000192
|
| 115 |
+
8 9 0.000185
|
| 116 |
+
9 0 0.000365
|
| 117 |
+
9 1 0.000301
|
| 118 |
+
9 2 0.000246
|
| 119 |
+
9 3 0.000201
|
| 120 |
+
9 4 0.000167
|
| 121 |
+
9 5 0.000143
|
| 122 |
+
9 6 0.000128
|
| 123 |
+
9 7 0.000122
|
| 124 |
+
9 8 0.000122
|
| 125 |
+
9 9 0.000125
|
| 126 |
+
10 0 0.000351
|
| 127 |
+
10 1 0.000231
|
| 128 |
+
10 2 0.000179
|
| 129 |
+
10 3 0.000179
|
| 130 |
+
10 4 0.000199
|
| 131 |
+
10 5 0.000211
|
| 132 |
+
10 6 0.000205
|
| 133 |
+
10 7 0.000188
|
| 134 |
+
10 8 0.000170
|
| 135 |
+
10 9 0.000156
|
xenium_skin_mixed/sample15/log/Bcr.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Bcr
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 635 0.536696 0.000010 100 false 10 0.000024 0.000011
|
| 13 |
+
1 680 635 0.952553 0.000320 100 false 10 0.006274 0.000594
|
| 14 |
+
2 5552 635 0.908520 0.000225 100 false 10 0.002675 0.000415
|
| 15 |
+
3 3231 635 0.433706 0.000055 100 false 10 0.000056 0.000056
|
| 16 |
+
4 87 635 0.543409 0.000043 100 false 10 0.000546 0.000059
|
| 17 |
+
5 96 635 0.872551 0.000139 100 false 10 0.000466 0.000170
|
| 18 |
+
6 1210 635 0.226309 0.000026 100 false 10 0.000027 0.000026
|
| 19 |
+
7 3 635 0.195351 0.000000 100 false 10 0.000027 0.000008
|
| 20 |
+
8 448 635 0.818103 0.000055 100 false 10 0.000103 0.000072
|
| 21 |
+
9 332 635 0.765514 0.000067 100 false 10 0.000126 0.000089
|
| 22 |
+
10 82 635 0.149086 0.000027 100 false 10 0.000583 0.000164
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000024
|
| 27 |
+
0 1 0.000021
|
| 28 |
+
0 2 0.000019
|
| 29 |
+
0 3 0.000017
|
| 30 |
+
0 4 0.000016
|
| 31 |
+
0 5 0.000014
|
| 32 |
+
0 6 0.000013
|
| 33 |
+
0 7 0.000012
|
| 34 |
+
0 8 0.000012
|
| 35 |
+
0 9 0.000011
|
| 36 |
+
1 0 0.006274
|
| 37 |
+
1 1 0.005058
|
| 38 |
+
1 2 0.004009
|
| 39 |
+
1 3 0.003132
|
| 40 |
+
1 4 0.002414
|
| 41 |
+
1 5 0.001837
|
| 42 |
+
1 6 0.001381
|
| 43 |
+
1 7 0.001031
|
| 44 |
+
1 8 0.000773
|
| 45 |
+
1 9 0.000594
|
| 46 |
+
2 0 0.002675
|
| 47 |
+
2 1 0.002199
|
| 48 |
+
2 2 0.001776
|
| 49 |
+
2 3 0.001409
|
| 50 |
+
2 4 0.001100
|
| 51 |
+
2 5 0.000849
|
| 52 |
+
2 6 0.000656
|
| 53 |
+
2 7 0.000522
|
| 54 |
+
2 8 0.000443
|
| 55 |
+
2 9 0.000415
|
| 56 |
+
3 0 0.000056
|
| 57 |
+
3 1 0.000056
|
| 58 |
+
3 2 0.000056
|
| 59 |
+
3 3 0.000056
|
| 60 |
+
3 4 0.000056
|
| 61 |
+
3 5 0.000056
|
| 62 |
+
3 6 0.000056
|
| 63 |
+
3 7 0.000056
|
| 64 |
+
3 8 0.000056
|
| 65 |
+
3 9 0.000056
|
| 66 |
+
4 0 0.000546
|
| 67 |
+
4 1 0.000374
|
| 68 |
+
4 2 0.000248
|
| 69 |
+
4 3 0.000163
|
| 70 |
+
4 4 0.000109
|
| 71 |
+
4 5 0.000076
|
| 72 |
+
4 6 0.000059
|
| 73 |
+
4 7 0.000052
|
| 74 |
+
4 8 0.000053
|
| 75 |
+
4 9 0.000059
|
| 76 |
+
5 0 0.000466
|
| 77 |
+
5 1 0.000421
|
| 78 |
+
5 2 0.000378
|
| 79 |
+
5 3 0.000336
|
| 80 |
+
5 4 0.000296
|
| 81 |
+
5 5 0.000259
|
| 82 |
+
5 6 0.000227
|
| 83 |
+
5 7 0.000201
|
| 84 |
+
5 8 0.000182
|
| 85 |
+
5 9 0.000170
|
| 86 |
+
6 0 0.000027
|
| 87 |
+
6 1 0.000027
|
| 88 |
+
6 2 0.000027
|
| 89 |
+
6 3 0.000027
|
| 90 |
+
6 4 0.000027
|
| 91 |
+
6 5 0.000027
|
| 92 |
+
6 6 0.000027
|
| 93 |
+
6 7 0.000026
|
| 94 |
+
6 8 0.000026
|
| 95 |
+
6 9 0.000026
|
| 96 |
+
7 0 0.000027
|
| 97 |
+
7 1 0.000017
|
| 98 |
+
7 2 0.000010
|
| 99 |
+
7 3 0.000006
|
| 100 |
+
7 4 0.000006
|
| 101 |
+
7 5 0.000006
|
| 102 |
+
7 6 0.000008
|
| 103 |
+
7 7 0.000008
|
| 104 |
+
7 8 0.000008
|
| 105 |
+
7 9 0.000008
|
| 106 |
+
8 0 0.000103
|
| 107 |
+
8 1 0.000097
|
| 108 |
+
8 2 0.000092
|
| 109 |
+
8 3 0.000088
|
| 110 |
+
8 4 0.000084
|
| 111 |
+
8 5 0.000081
|
| 112 |
+
8 6 0.000078
|
| 113 |
+
8 7 0.000076
|
| 114 |
+
8 8 0.000074
|
| 115 |
+
8 9 0.000072
|
| 116 |
+
9 0 0.000126
|
| 117 |
+
9 1 0.000137
|
| 118 |
+
9 2 0.000112
|
| 119 |
+
9 3 0.000103
|
| 120 |
+
9 4 0.000107
|
| 121 |
+
9 5 0.000100
|
| 122 |
+
9 6 0.000090
|
| 123 |
+
9 7 0.000088
|
| 124 |
+
9 8 0.000091
|
| 125 |
+
9 9 0.000089
|
| 126 |
+
10 0 0.000583
|
| 127 |
+
10 1 0.000484
|
| 128 |
+
10 2 0.000380
|
| 129 |
+
10 3 0.000277
|
| 130 |
+
10 4 0.000185
|
| 131 |
+
10 5 0.000116
|
| 132 |
+
10 6 0.000086
|
| 133 |
+
10 7 0.000099
|
| 134 |
+
10 8 0.000135
|
| 135 |
+
10 9 0.000164
|
xenium_skin_mixed/sample15/log/Bex3.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Bex3
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 640 0.756070 0.000042 100 false 10 0.000060 0.000045
|
| 13 |
+
1 680 640 0.457905 0.000038 100 false 10 0.000180 0.000062
|
| 14 |
+
2 5552 640 0.890807 0.000107 100 false 10 0.000382 0.000206
|
| 15 |
+
3 3231 640 0.736981 0.000051 100 false 10 0.000120 0.000068
|
| 16 |
+
4 87 640 0.281510 0.000016 100 false 10 0.000059 0.000025
|
| 17 |
+
5 96 640 0.876519 0.000028 100 false 10 0.000029 0.000026
|
| 18 |
+
6 1210 640 0.671344 0.000054 100 false 10 0.000245 0.000070
|
| 19 |
+
7 3 640 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 640 0.941383 0.000035 100 false 10 0.000135 0.000049
|
| 21 |
+
9 332 640 0.648189 0.000026 100 false 10 0.000029 0.000028
|
| 22 |
+
10 82 640 0.176836 0.000033 100 false 10 0.000237 0.000040
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000060
|
| 27 |
+
0 1 0.000049
|
| 28 |
+
0 2 0.000047
|
| 29 |
+
0 3 0.000049
|
| 30 |
+
0 4 0.000050
|
| 31 |
+
0 5 0.000050
|
| 32 |
+
0 6 0.000048
|
| 33 |
+
0 7 0.000047
|
| 34 |
+
0 8 0.000046
|
| 35 |
+
0 9 0.000045
|
| 36 |
+
1 0 0.000180
|
| 37 |
+
1 1 0.000157
|
| 38 |
+
1 2 0.000133
|
| 39 |
+
1 3 0.000110
|
| 40 |
+
1 4 0.000088
|
| 41 |
+
1 5 0.000069
|
| 42 |
+
1 6 0.000054
|
| 43 |
+
1 7 0.000048
|
| 44 |
+
1 8 0.000051
|
| 45 |
+
1 9 0.000062
|
| 46 |
+
2 0 0.000382
|
| 47 |
+
2 1 0.000294
|
| 48 |
+
2 2 0.000238
|
| 49 |
+
2 3 0.000211
|
| 50 |
+
2 4 0.000204
|
| 51 |
+
2 5 0.000209
|
| 52 |
+
2 6 0.000216
|
| 53 |
+
2 7 0.000218
|
| 54 |
+
2 8 0.000214
|
| 55 |
+
2 9 0.000206
|
| 56 |
+
3 0 0.000120
|
| 57 |
+
3 1 0.000110
|
| 58 |
+
3 2 0.000102
|
| 59 |
+
3 3 0.000095
|
| 60 |
+
3 4 0.000088
|
| 61 |
+
3 5 0.000083
|
| 62 |
+
3 6 0.000078
|
| 63 |
+
3 7 0.000074
|
| 64 |
+
3 8 0.000071
|
| 65 |
+
3 9 0.000068
|
| 66 |
+
4 0 0.000059
|
| 67 |
+
4 1 0.000030
|
| 68 |
+
4 2 0.000040
|
| 69 |
+
4 3 0.000041
|
| 70 |
+
4 4 0.000032
|
| 71 |
+
4 5 0.000025
|
| 72 |
+
4 6 0.000025
|
| 73 |
+
4 7 0.000028
|
| 74 |
+
4 8 0.000028
|
| 75 |
+
4 9 0.000025
|
| 76 |
+
5 0 0.000029
|
| 77 |
+
5 1 0.000028
|
| 78 |
+
5 2 0.000028
|
| 79 |
+
5 3 0.000027
|
| 80 |
+
5 4 0.000027
|
| 81 |
+
5 5 0.000026
|
| 82 |
+
5 6 0.000026
|
| 83 |
+
5 7 0.000026
|
| 84 |
+
5 8 0.000026
|
| 85 |
+
5 9 0.000026
|
| 86 |
+
6 0 0.000245
|
| 87 |
+
6 1 0.000141
|
| 88 |
+
6 2 0.000101
|
| 89 |
+
6 3 0.000112
|
| 90 |
+
6 4 0.000127
|
| 91 |
+
6 5 0.000125
|
| 92 |
+
6 6 0.000108
|
| 93 |
+
6 7 0.000088
|
| 94 |
+
6 8 0.000074
|
| 95 |
+
6 9 0.000070
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000135
|
| 107 |
+
8 1 0.000101
|
| 108 |
+
8 2 0.000075
|
| 109 |
+
8 3 0.000059
|
| 110 |
+
8 4 0.000049
|
| 111 |
+
8 5 0.000045
|
| 112 |
+
8 6 0.000044
|
| 113 |
+
8 7 0.000045
|
| 114 |
+
8 8 0.000047
|
| 115 |
+
8 9 0.000049
|
| 116 |
+
9 0 0.000029
|
| 117 |
+
9 1 0.000029
|
| 118 |
+
9 2 0.000029
|
| 119 |
+
9 3 0.000029
|
| 120 |
+
9 4 0.000029
|
| 121 |
+
9 5 0.000028
|
| 122 |
+
9 6 0.000028
|
| 123 |
+
9 7 0.000028
|
| 124 |
+
9 8 0.000028
|
| 125 |
+
9 9 0.000028
|
| 126 |
+
10 0 0.000237
|
| 127 |
+
10 1 0.000186
|
| 128 |
+
10 2 0.000141
|
| 129 |
+
10 3 0.000104
|
| 130 |
+
10 4 0.000076
|
| 131 |
+
10 5 0.000056
|
| 132 |
+
10 6 0.000045
|
| 133 |
+
10 7 0.000039
|
| 134 |
+
10 8 0.000039
|
| 135 |
+
10 9 0.000040
|
xenium_skin_mixed/sample15/log/Birc3.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Birc3
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 611 0.939218 0.000177 100 false 10 0.000317 0.000238
|
| 13 |
+
1 680 611 0.533772 0.000046 100 false 10 0.000112 0.000070
|
| 14 |
+
2 5552 611 0.405884 0.000049 100 false 10 0.000068 0.000055
|
| 15 |
+
3 3231 611 0.530873 0.000081 100 false 10 0.000184 0.000107
|
| 16 |
+
4 87 611 0.234496 0.000015 100 false 10 0.000485 0.000074
|
| 17 |
+
5 96 611 0.874632 0.000066 100 false 10 0.000155 0.000102
|
| 18 |
+
6 1210 611 0.538800 0.000135 100 false 10 0.000160 0.000135
|
| 19 |
+
7 3 611 0.000000 0.000000 13 true 10 0.000097 0.000019
|
| 20 |
+
8 448 611 0.764597 0.000034 100 false 10 0.000035 0.000034
|
| 21 |
+
9 332 611 0.551810 0.000038 100 false 10 0.000101 0.000059
|
| 22 |
+
10 82 611 0.357673 0.000087 100 false 10 0.012141 0.000543
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000317
|
| 27 |
+
0 1 0.000451
|
| 28 |
+
0 2 0.000288
|
| 29 |
+
0 3 0.000263
|
| 30 |
+
0 4 0.000322
|
| 31 |
+
0 5 0.000282
|
| 32 |
+
0 6 0.000220
|
| 33 |
+
0 7 0.000221
|
| 34 |
+
0 8 0.000248
|
| 35 |
+
0 9 0.000238
|
| 36 |
+
1 0 0.000112
|
| 37 |
+
1 1 0.000105
|
| 38 |
+
1 2 0.000099
|
| 39 |
+
1 3 0.000093
|
| 40 |
+
1 4 0.000088
|
| 41 |
+
1 5 0.000083
|
| 42 |
+
1 6 0.000079
|
| 43 |
+
1 7 0.000076
|
| 44 |
+
1 8 0.000073
|
| 45 |
+
1 9 0.000070
|
| 46 |
+
2 0 0.000068
|
| 47 |
+
2 1 0.000061
|
| 48 |
+
2 2 0.000057
|
| 49 |
+
2 3 0.000054
|
| 50 |
+
2 4 0.000054
|
| 51 |
+
2 5 0.000054
|
| 52 |
+
2 6 0.000054
|
| 53 |
+
2 7 0.000055
|
| 54 |
+
2 8 0.000055
|
| 55 |
+
2 9 0.000055
|
| 56 |
+
3 0 0.000184
|
| 57 |
+
3 1 0.000170
|
| 58 |
+
3 2 0.000158
|
| 59 |
+
3 3 0.000147
|
| 60 |
+
3 4 0.000137
|
| 61 |
+
3 5 0.000129
|
| 62 |
+
3 6 0.000122
|
| 63 |
+
3 7 0.000116
|
| 64 |
+
3 8 0.000111
|
| 65 |
+
3 9 0.000107
|
| 66 |
+
4 0 0.000485
|
| 67 |
+
4 1 0.000247
|
| 68 |
+
4 2 0.000085
|
| 69 |
+
4 3 0.000024
|
| 70 |
+
4 4 0.000048
|
| 71 |
+
4 5 0.000100
|
| 72 |
+
4 6 0.000132
|
| 73 |
+
4 7 0.000132
|
| 74 |
+
4 8 0.000108
|
| 75 |
+
4 9 0.000074
|
| 76 |
+
5 0 0.000155
|
| 77 |
+
5 1 0.000126
|
| 78 |
+
5 2 0.000123
|
| 79 |
+
5 3 0.000126
|
| 80 |
+
5 4 0.000125
|
| 81 |
+
5 5 0.000120
|
| 82 |
+
5 6 0.000113
|
| 83 |
+
5 7 0.000107
|
| 84 |
+
5 8 0.000104
|
| 85 |
+
5 9 0.000102
|
| 86 |
+
6 0 0.000160
|
| 87 |
+
6 1 0.000155
|
| 88 |
+
6 2 0.000151
|
| 89 |
+
6 3 0.000148
|
| 90 |
+
6 4 0.000145
|
| 91 |
+
6 5 0.000142
|
| 92 |
+
6 6 0.000140
|
| 93 |
+
6 7 0.000138
|
| 94 |
+
6 8 0.000136
|
| 95 |
+
6 9 0.000135
|
| 96 |
+
7 0 0.000097
|
| 97 |
+
7 1 0.000076
|
| 98 |
+
7 2 0.000058
|
| 99 |
+
7 3 0.000042
|
| 100 |
+
7 4 0.000030
|
| 101 |
+
7 5 0.000022
|
| 102 |
+
7 6 0.000017
|
| 103 |
+
7 7 0.000016
|
| 104 |
+
7 8 0.000017
|
| 105 |
+
7 9 0.000019
|
| 106 |
+
8 0 0.000035
|
| 107 |
+
8 1 0.000035
|
| 108 |
+
8 2 0.000035
|
| 109 |
+
8 3 0.000034
|
| 110 |
+
8 4 0.000034
|
| 111 |
+
8 5 0.000034
|
| 112 |
+
8 6 0.000034
|
| 113 |
+
8 7 0.000034
|
| 114 |
+
8 8 0.000034
|
| 115 |
+
8 9 0.000034
|
| 116 |
+
9 0 0.000101
|
| 117 |
+
9 1 0.000096
|
| 118 |
+
9 2 0.000091
|
| 119 |
+
9 3 0.000086
|
| 120 |
+
9 4 0.000081
|
| 121 |
+
9 5 0.000077
|
| 122 |
+
9 6 0.000072
|
| 123 |
+
9 7 0.000068
|
| 124 |
+
9 8 0.000064
|
| 125 |
+
9 9 0.000059
|
| 126 |
+
10 0 0.012141
|
| 127 |
+
10 1 0.010159
|
| 128 |
+
10 2 0.008086
|
| 129 |
+
10 3 0.006026
|
| 130 |
+
10 4 0.004138
|
| 131 |
+
10 5 0.002586
|
| 132 |
+
10 6 0.001482
|
| 133 |
+
10 7 0.000831
|
| 134 |
+
10 8 0.000554
|
| 135 |
+
10 9 0.000543
|
xenium_skin_mixed/sample15/log/Bmp1.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Bmp1
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 629 0.959988 0.000141 100 false 10 0.000613 0.000377
|
| 13 |
+
1 680 629 0.767921 0.000885 100 false 10 0.015576 0.004145
|
| 14 |
+
2 5552 629 0.809521 0.000474 100 false 10 0.000823 0.000527
|
| 15 |
+
3 3231 629 0.909769 0.003950 100 false 10 0.008605 0.005234
|
| 16 |
+
4 87 629 0.411226 0.000023 100 false 10 0.000206 0.000031
|
| 17 |
+
5 96 629 0.958138 0.000295 100 false 10 0.001204 0.000575
|
| 18 |
+
6 1210 629 0.770406 0.001369 100 false 10 0.002723 0.001408
|
| 19 |
+
7 3 629 0.000000 0.000000 100 false 10 0.000047 0.000011
|
| 20 |
+
8 448 629 0.932007 0.000880 100 false 10 0.008920 0.003461
|
| 21 |
+
9 332 629 0.964368 0.002255 100 false 10 0.009198 0.003024
|
| 22 |
+
10 82 629 0.939932 0.000078 100 false 10 0.018112 0.001383
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000613
|
| 27 |
+
0 1 0.000822
|
| 28 |
+
0 2 0.000498
|
| 29 |
+
0 3 0.000517
|
| 30 |
+
0 4 0.000559
|
| 31 |
+
0 5 0.000460
|
| 32 |
+
0 6 0.000360
|
| 33 |
+
0 7 0.000357
|
| 34 |
+
0 8 0.000396
|
| 35 |
+
0 9 0.000377
|
| 36 |
+
1 0 0.015576
|
| 37 |
+
1 1 0.010228
|
| 38 |
+
1 2 0.005813
|
| 39 |
+
1 3 0.002908
|
| 40 |
+
1 4 0.001778
|
| 41 |
+
1 5 0.002029
|
| 42 |
+
1 6 0.002878
|
| 43 |
+
1 7 0.003678
|
| 44 |
+
1 8 0.004118
|
| 45 |
+
1 9 0.004145
|
| 46 |
+
2 0 0.000823
|
| 47 |
+
2 1 0.000676
|
| 48 |
+
2 2 0.000609
|
| 49 |
+
2 3 0.000584
|
| 50 |
+
2 4 0.000569
|
| 51 |
+
2 5 0.000554
|
| 52 |
+
2 6 0.000538
|
| 53 |
+
2 7 0.000528
|
| 54 |
+
2 8 0.000524
|
| 55 |
+
2 9 0.000527
|
| 56 |
+
3 0 0.008605
|
| 57 |
+
3 1 0.006973
|
| 58 |
+
3 2 0.005925
|
| 59 |
+
3 3 0.005400
|
| 60 |
+
3 4 0.005254
|
| 61 |
+
3 5 0.005301
|
| 62 |
+
3 6 0.005382
|
| 63 |
+
3 7 0.005411
|
| 64 |
+
3 8 0.005358
|
| 65 |
+
3 9 0.005234
|
| 66 |
+
4 0 0.000206
|
| 67 |
+
4 1 0.000170
|
| 68 |
+
4 2 0.000138
|
| 69 |
+
4 3 0.000111
|
| 70 |
+
4 4 0.000089
|
| 71 |
+
4 5 0.000071
|
| 72 |
+
4 6 0.000056
|
| 73 |
+
4 7 0.000045
|
| 74 |
+
4 8 0.000036
|
| 75 |
+
4 9 0.000031
|
| 76 |
+
5 0 0.001204
|
| 77 |
+
5 1 0.000981
|
| 78 |
+
5 2 0.000829
|
| 79 |
+
5 3 0.000736
|
| 80 |
+
5 4 0.000683
|
| 81 |
+
5 5 0.000656
|
| 82 |
+
5 6 0.000640
|
| 83 |
+
5 7 0.000623
|
| 84 |
+
5 8 0.000602
|
| 85 |
+
5 9 0.000575
|
| 86 |
+
6 0 0.002723
|
| 87 |
+
6 1 0.001901
|
| 88 |
+
6 2 0.001511
|
| 89 |
+
6 3 0.001464
|
| 90 |
+
6 4 0.001574
|
| 91 |
+
6 5 0.001654
|
| 92 |
+
6 6 0.001641
|
| 93 |
+
6 7 0.001563
|
| 94 |
+
6 8 0.001472
|
| 95 |
+
6 9 0.001408
|
| 96 |
+
7 0 0.000047
|
| 97 |
+
7 1 0.000028
|
| 98 |
+
7 2 0.000015
|
| 99 |
+
7 3 0.000009
|
| 100 |
+
7 4 0.000009
|
| 101 |
+
7 5 0.000012
|
| 102 |
+
7 6 0.000014
|
| 103 |
+
7 7 0.000015
|
| 104 |
+
7 8 0.000013
|
| 105 |
+
7 9 0.000011
|
| 106 |
+
8 0 0.008920
|
| 107 |
+
8 1 0.005636
|
| 108 |
+
8 2 0.004346
|
| 109 |
+
8 3 0.004299
|
| 110 |
+
8 4 0.004492
|
| 111 |
+
8 5 0.004471
|
| 112 |
+
8 6 0.004247
|
| 113 |
+
8 7 0.003952
|
| 114 |
+
8 8 0.003681
|
| 115 |
+
8 9 0.003461
|
| 116 |
+
9 0 0.009198
|
| 117 |
+
9 1 0.007360
|
| 118 |
+
9 2 0.005750
|
| 119 |
+
9 3 0.004738
|
| 120 |
+
9 4 0.004660
|
| 121 |
+
9 5 0.004896
|
| 122 |
+
9 6 0.004655
|
| 123 |
+
9 7 0.004035
|
| 124 |
+
9 8 0.003405
|
| 125 |
+
9 9 0.003024
|
| 126 |
+
10 0 0.018112
|
| 127 |
+
10 1 0.014488
|
| 128 |
+
10 2 0.011098
|
| 129 |
+
10 3 0.008009
|
| 130 |
+
10 4 0.005301
|
| 131 |
+
10 5 0.003098
|
| 132 |
+
10 6 0.001559
|
| 133 |
+
10 7 0.000814
|
| 134 |
+
10 8 0.000840
|
| 135 |
+
10 9 0.001383
|
xenium_skin_mixed/sample15/log/Bmpr2.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Bmpr2
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 630 0.560994 0.000110 100 false 10 0.000911 0.000177
|
| 13 |
+
1 680 630 0.661053 0.001062 100 false 10 0.004986 0.002130
|
| 14 |
+
2 5552 630 0.846459 0.000740 100 false 10 0.002048 0.000956
|
| 15 |
+
3 3231 630 0.880704 0.000296 100 false 10 0.000466 0.000331
|
| 16 |
+
4 87 630 0.437511 0.000076 100 false 10 0.015527 0.000393
|
| 17 |
+
5 96 630 0.974128 0.000372 100 false 10 0.004512 0.001097
|
| 18 |
+
6 1210 630 0.333767 0.000261 100 false 10 0.001877 0.000420
|
| 19 |
+
7 3 630 0.189714 0.000010 100 false 10 0.000112 0.000019
|
| 20 |
+
8 448 630 0.867938 0.000302 100 false 10 0.004356 0.000794
|
| 21 |
+
9 332 630 0.884672 0.000299 100 false 10 0.001169 0.000406
|
| 22 |
+
10 82 630 0.657611 0.000036 100 false 10 0.005726 0.003091
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000911
|
| 27 |
+
0 1 0.000421
|
| 28 |
+
0 2 0.000186
|
| 29 |
+
0 3 0.000170
|
| 30 |
+
0 4 0.000259
|
| 31 |
+
0 5 0.000332
|
| 32 |
+
0 6 0.000344
|
| 33 |
+
0 7 0.000303
|
| 34 |
+
0 8 0.000238
|
| 35 |
+
0 9 0.000177
|
| 36 |
+
1 0 0.004986
|
| 37 |
+
1 1 0.003084
|
| 38 |
+
1 2 0.002092
|
| 39 |
+
1 3 0.001802
|
| 40 |
+
1 4 0.001896
|
| 41 |
+
1 5 0.002097
|
| 42 |
+
1 6 0.002248
|
| 43 |
+
1 7 0.002299
|
| 44 |
+
1 8 0.002250
|
| 45 |
+
1 9 0.002130
|
| 46 |
+
2 0 0.002048
|
| 47 |
+
2 1 0.001391
|
| 48 |
+
2 2 0.001023
|
| 49 |
+
2 3 0.000927
|
| 50 |
+
2 4 0.001017
|
| 51 |
+
2 5 0.001142
|
| 52 |
+
2 6 0.001189
|
| 53 |
+
2 7 0.001146
|
| 54 |
+
2 8 0.001053
|
| 55 |
+
2 9 0.000956
|
| 56 |
+
3 0 0.000466
|
| 57 |
+
3 1 0.000395
|
| 58 |
+
3 2 0.000359
|
| 59 |
+
3 3 0.000352
|
| 60 |
+
3 4 0.000359
|
| 61 |
+
3 5 0.000364
|
| 62 |
+
3 6 0.000362
|
| 63 |
+
3 7 0.000353
|
| 64 |
+
3 8 0.000342
|
| 65 |
+
3 9 0.000331
|
| 66 |
+
4 0 0.015527
|
| 67 |
+
4 1 0.012924
|
| 68 |
+
4 2 0.010221
|
| 69 |
+
4 3 0.007528
|
| 70 |
+
4 4 0.005020
|
| 71 |
+
4 5 0.002894
|
| 72 |
+
4 6 0.001341
|
| 73 |
+
4 7 0.000470
|
| 74 |
+
4 8 0.000218
|
| 75 |
+
4 9 0.000393
|
| 76 |
+
5 0 0.004512
|
| 77 |
+
5 1 0.003425
|
| 78 |
+
5 2 0.002491
|
| 79 |
+
5 3 0.001748
|
| 80 |
+
5 4 0.001236
|
| 81 |
+
5 5 0.000976
|
| 82 |
+
5 6 0.000921
|
| 83 |
+
5 7 0.000973
|
| 84 |
+
5 8 0.001050
|
| 85 |
+
5 9 0.001097
|
| 86 |
+
6 0 0.001877
|
| 87 |
+
6 1 0.001590
|
| 88 |
+
6 2 0.001326
|
| 89 |
+
6 3 0.001086
|
| 90 |
+
6 4 0.000877
|
| 91 |
+
6 5 0.000702
|
| 92 |
+
6 6 0.000566
|
| 93 |
+
6 7 0.000474
|
| 94 |
+
6 8 0.000427
|
| 95 |
+
6 9 0.000420
|
| 96 |
+
7 0 0.000112
|
| 97 |
+
7 1 0.000097
|
| 98 |
+
7 2 0.000083
|
| 99 |
+
7 3 0.000069
|
| 100 |
+
7 4 0.000058
|
| 101 |
+
7 5 0.000049
|
| 102 |
+
7 6 0.000039
|
| 103 |
+
7 7 0.000031
|
| 104 |
+
7 8 0.000024
|
| 105 |
+
7 9 0.000019
|
| 106 |
+
8 0 0.004356
|
| 107 |
+
8 1 0.003389
|
| 108 |
+
8 2 0.002467
|
| 109 |
+
8 3 0.001673
|
| 110 |
+
8 4 0.001123
|
| 111 |
+
8 5 0.000871
|
| 112 |
+
8 6 0.000817
|
| 113 |
+
8 7 0.000828
|
| 114 |
+
8 8 0.000830
|
| 115 |
+
8 9 0.000794
|
| 116 |
+
9 0 0.001169
|
| 117 |
+
9 1 0.000959
|
| 118 |
+
9 2 0.000787
|
| 119 |
+
9 3 0.000651
|
| 120 |
+
9 4 0.000547
|
| 121 |
+
9 5 0.000473
|
| 122 |
+
9 6 0.000425
|
| 123 |
+
9 7 0.000401
|
| 124 |
+
9 8 0.000396
|
| 125 |
+
9 9 0.000406
|
| 126 |
+
10 0 0.005726
|
| 127 |
+
10 1 0.005403
|
| 128 |
+
10 2 0.005088
|
| 129 |
+
10 3 0.004780
|
| 130 |
+
10 4 0.004480
|
| 131 |
+
10 5 0.004187
|
| 132 |
+
10 6 0.003903
|
| 133 |
+
10 7 0.003626
|
| 134 |
+
10 8 0.003355
|
| 135 |
+
10 9 0.003091
|
xenium_skin_mixed/sample15/log/Bnc2.log
ADDED
|
@@ -0,0 +1,135 @@
|
|
|
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|
| 1 |
+
format spacetravlr_training_log v1
|
| 2 |
+
gene Bnc2
|
| 3 |
+
seed_only false
|
| 4 |
+
per_cell_cnn_export true
|
| 5 |
+
cnn_epochs_config 10
|
| 6 |
+
learning_rate 0.0002
|
| 7 |
+
lasso_n_iter_max 100
|
| 8 |
+
lasso_tol 0.0001
|
| 9 |
+
|
| 10 |
+
# summary: cluster_id, n_cells, n_modulators, lasso_r2, lasso_train_mse, lasso_fista_iters, lasso_converged, cnn_epochs_ran, cnn_mse_first, cnn_mse_last
|
| 11 |
+
cluster_id n_cells n_modulators lasso_r2 lasso_train_mse lasso_fista_iters lasso_converged cnn_epochs_ran cnn_mse_first cnn_mse_last
|
| 12 |
+
0 219 650 0.796169 0.000009 100 false 10 0.000014 0.000014
|
| 13 |
+
1 680 650 0.690343 0.000012 100 false 10 0.000103 0.000023
|
| 14 |
+
2 5552 650 0.952614 0.000115 100 false 10 0.001123 0.000387
|
| 15 |
+
3 3231 650 0.750449 0.000071 100 false 10 0.000116 0.000073
|
| 16 |
+
4 87 650 0.536292 0.000003 100 false 10 0.000053 0.000022
|
| 17 |
+
5 96 650 0.971584 0.000009 100 false 10 0.000019 0.000015
|
| 18 |
+
6 1210 650 0.367386 0.000017 100 false 10 0.000017 0.000017
|
| 19 |
+
7 3 650 0.000000 0.000000 1 true 10 0.000000 0.000000
|
| 20 |
+
8 448 650 0.892972 0.000039 100 false 10 0.000259 0.000063
|
| 21 |
+
9 332 650 0.984129 0.000195 100 false 10 0.001745 0.000490
|
| 22 |
+
10 82 650 0.741813 0.000000 100 false 10 0.000046 0.000002
|
| 23 |
+
|
| 24 |
+
# cnn_mse_by_epoch: cluster_id, epoch, train_mse
|
| 25 |
+
cluster_id epoch train_mse
|
| 26 |
+
0 0 0.000014
|
| 27 |
+
0 1 0.000014
|
| 28 |
+
0 2 0.000014
|
| 29 |
+
0 3 0.000014
|
| 30 |
+
0 4 0.000014
|
| 31 |
+
0 5 0.000014
|
| 32 |
+
0 6 0.000014
|
| 33 |
+
0 7 0.000014
|
| 34 |
+
0 8 0.000014
|
| 35 |
+
0 9 0.000014
|
| 36 |
+
1 0 0.000103
|
| 37 |
+
1 1 0.000076
|
| 38 |
+
1 2 0.000053
|
| 39 |
+
1 3 0.000035
|
| 40 |
+
1 4 0.000023
|
| 41 |
+
1 5 0.000017
|
| 42 |
+
1 6 0.000016
|
| 43 |
+
1 7 0.000017
|
| 44 |
+
1 8 0.000020
|
| 45 |
+
1 9 0.000023
|
| 46 |
+
2 0 0.001123
|
| 47 |
+
2 1 0.000870
|
| 48 |
+
2 2 0.000668
|
| 49 |
+
2 3 0.000520
|
| 50 |
+
2 4 0.000423
|
| 51 |
+
2 5 0.000371
|
| 52 |
+
2 6 0.000353
|
| 53 |
+
2 7 0.000359
|
| 54 |
+
2 8 0.000375
|
| 55 |
+
2 9 0.000387
|
| 56 |
+
3 0 0.000116
|
| 57 |
+
3 1 0.000105
|
| 58 |
+
3 2 0.000096
|
| 59 |
+
3 3 0.000088
|
| 60 |
+
3 4 0.000082
|
| 61 |
+
3 5 0.000078
|
| 62 |
+
3 6 0.000075
|
| 63 |
+
3 7 0.000074
|
| 64 |
+
3 8 0.000073
|
| 65 |
+
3 9 0.000073
|
| 66 |
+
4 0 0.000053
|
| 67 |
+
4 1 0.000048
|
| 68 |
+
4 2 0.000044
|
| 69 |
+
4 3 0.000040
|
| 70 |
+
4 4 0.000037
|
| 71 |
+
4 5 0.000033
|
| 72 |
+
4 6 0.000030
|
| 73 |
+
4 7 0.000027
|
| 74 |
+
4 8 0.000025
|
| 75 |
+
4 9 0.000022
|
| 76 |
+
5 0 0.000019
|
| 77 |
+
5 1 0.000018
|
| 78 |
+
5 2 0.000017
|
| 79 |
+
5 3 0.000017
|
| 80 |
+
5 4 0.000016
|
| 81 |
+
5 5 0.000016
|
| 82 |
+
5 6 0.000016
|
| 83 |
+
5 7 0.000015
|
| 84 |
+
5 8 0.000015
|
| 85 |
+
5 9 0.000015
|
| 86 |
+
6 0 0.000017
|
| 87 |
+
6 1 0.000017
|
| 88 |
+
6 2 0.000017
|
| 89 |
+
6 3 0.000017
|
| 90 |
+
6 4 0.000017
|
| 91 |
+
6 5 0.000017
|
| 92 |
+
6 6 0.000017
|
| 93 |
+
6 7 0.000017
|
| 94 |
+
6 8 0.000017
|
| 95 |
+
6 9 0.000017
|
| 96 |
+
7 0 0.000000
|
| 97 |
+
7 1 0.000000
|
| 98 |
+
7 2 0.000000
|
| 99 |
+
7 3 0.000000
|
| 100 |
+
7 4 0.000000
|
| 101 |
+
7 5 0.000000
|
| 102 |
+
7 6 0.000000
|
| 103 |
+
7 7 0.000000
|
| 104 |
+
7 8 0.000000
|
| 105 |
+
7 9 0.000000
|
| 106 |
+
8 0 0.000259
|
| 107 |
+
8 1 0.000207
|
| 108 |
+
8 2 0.000163
|
| 109 |
+
8 3 0.000126
|
| 110 |
+
8 4 0.000098
|
| 111 |
+
8 5 0.000078
|
| 112 |
+
8 6 0.000066
|
| 113 |
+
8 7 0.000061
|
| 114 |
+
8 8 0.000060
|
| 115 |
+
8 9 0.000063
|
| 116 |
+
9 0 0.001745
|
| 117 |
+
9 1 0.001170
|
| 118 |
+
9 2 0.000724
|
| 119 |
+
9 3 0.000437
|
| 120 |
+
9 4 0.000310
|
| 121 |
+
9 5 0.000305
|
| 122 |
+
9 6 0.000364
|
| 123 |
+
9 7 0.000433
|
| 124 |
+
9 8 0.000479
|
| 125 |
+
9 9 0.000490
|
| 126 |
+
10 0 0.000046
|
| 127 |
+
10 1 0.000037
|
| 128 |
+
10 2 0.000028
|
| 129 |
+
10 3 0.000020
|
| 130 |
+
10 4 0.000014
|
| 131 |
+
10 5 0.000010
|
| 132 |
+
10 6 0.000007
|
| 133 |
+
10 7 0.000004
|
| 134 |
+
10 8 0.000003
|
| 135 |
+
10 9 0.000002
|