xenium_skin_mixed/sample13/log/Abca8a.log

format	spacetravlr_training_log	v1
gene	Abca8a
seed_only	false
per_cell_cnn_export	true
cnn_epochs_config	10
learning_rate	0.0002
lasso_n_iter_max	100
lasso_tol	0.0001

# 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
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
0	263	626	0.685112	0.000008	100	false	10	0.000194	0.000023
1	752	626	0.392904	0.000033	100	false	10	0.000133	0.000036
2	4234	626	0.374268	0.000047	100	false	10	0.000140	0.000059
3	3435	626	0.693048	0.003142	100	false	10	0.004443	0.003538
4	77	626	0.000000	0.000000	1	true	10	0.000000	0.000000
5	220	626	0.812069	0.000424	100	false	10	0.000543	0.000452
6	2395	626	0.304314	0.000064	100	false	10	0.000111	0.000070
7	14	626	0.000000	0.000000	1	true	10	0.000000	0.000000
8	534	626	0.529011	0.000896	100	false	10	0.001537	0.001028
9	232	626	0.939726	0.004987	100	false	10	0.034615	0.009933
10	108	626	0.000000	0.000000	1	true	10	0.000000	0.000000

# cnn_mse_by_epoch: cluster_id, epoch, train_mse
cluster_id	epoch	train_mse
0	0	0.000194
0	1	0.000166
0	2	0.000140
0	3	0.000116
0	4	0.000094
0	5	0.000074
0	6	0.000057
0	7	0.000043
0	8	0.000031
0	9	0.000023
1	0	0.000133
1	1	0.000117
1	2	0.000102
1	3	0.000087
1	4	0.000074
1	5	0.000063
1	6	0.000053
1	7	0.000046
1	8	0.000040
1	9	0.000036
2	0	0.000140
2	1	0.000126
2	2	0.000113
2	3	0.000102
2	4	0.000092
2	5	0.000083
2	6	0.000075
2	7	0.000069
2	8	0.000063
2	9	0.000059
3	0	0.004443
3	1	0.004188
3	2	0.004018
3	3	0.003908
3	4	0.003834
3	5	0.003776
3	6	0.003722
3	7	0.003665
3	8	0.003604
3	9	0.003538
4	0	0.000000
4	1	0.000000
4	2	0.000000
4	3	0.000000
4	4	0.000000
4	5	0.000000
4	6	0.000000
4	7	0.000000
4	8	0.000000
4	9	0.000000
5	0	0.000543
5	1	0.000510
5	2	0.000494
5	3	0.000488
5	4	0.000486
5	5	0.000482
5	6	0.000476
5	7	0.000468
5	8	0.000460
5	9	0.000452
6	0	0.000111
6	1	0.000099
6	2	0.000088
6	3	0.000080
6	4	0.000074
6	5	0.000071
6	6	0.000069
6	7	0.000068
6	8	0.000069
6	9	0.000070
7	0	0.000000
7	1	0.000000
7	2	0.000000
7	3	0.000000
7	4	0.000000
7	5	0.000000
7	6	0.000000
7	7	0.000000
7	8	0.000000
7	9	0.000000
8	0	0.001537
8	1	0.001386
8	2	0.001268
8	3	0.001181
8	4	0.001123
8	5	0.001086
8	6	0.001064
8	7	0.001050
8	8	0.001039
8	9	0.001028
9	0	0.034615
9	1	0.025113
9	2	0.017436
9	3	0.011905
9	4	0.008608
9	5	0.007350
9	6	0.007585
9	7	0.008528
9	8	0.009456
9	9	0.009933
10	0	0.000000
10	1	0.000000
10	2	0.000000
10	3	0.000000
10	4	0.000000
10	5	0.000000
10	6	0.000000
10	7	0.000000
10	8	0.000000
10	9	0.000000