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pytorch-survival
/
flchain_pycox

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age
float32
50
101
sex
float32
0
1
sample.yr
int64
2k
2k
kappa
float32
0.01
20.5
lambda
float32
0.04
26.6
flc.grp
int64
1
10
creatinine
float32
0.4
10.8
mgus
float32
0
1
event_time
float32
0
5.17k
event_indicator
float32
0
1
70
0
1,999
1.69
1.1
5
1
0
2,987
1
74
0
1,996
0.726
1.67
4
1
0
1,825
1
71
0
1,996
1.38
2.04
8
0.9
0
4,757
1
71
0
1,995
0.53
1.25
2
0.8
0
4,991
0
74
0
1,996
1.57
2.3
9
1.3
0
1,395
1
73
0
1,996
1.59
1.55
7
0.9
0
238
1
70
0
1,997
1.7
1.69
8
0.7
0
4,357
1
71
0
1,998
0.942
1.46
4
0.8
0
3,948
0
73
0
1,999
2.26
2.94
10
0.9
0
3,727
0
74
0
1,998
2.47
3.14
10
0.9
0
3,264
1
74
0
1,996
1.36
0.87
3
1
0
4,897
0
72
0
1,996
1.65
2.58
9
0.9
0
4,837
0
72
0
1,996
2.99
2.94
10
1.3
0
3,969
1
72
0
1,996
1.89
2.2
9
1.6
0
4,682
0
70
0
1,996
1.41
1.46
6
1.1
0
4,879
0
74
0
1,996
1.21
1.2
4
1
0
4,105
1
72
0
1,996
0.8
1.78
5
0.7
0
279
1
73
0
1,996
1.29
1.54
6
0.8
0
4,816
0
71
0
1,999
2.65
2.03
9
1
0
3,801
0
73
0
1,996
0.97
1.14
3
1
0
4,726
0
70
0
1,997
1.25
1.88
7
0.9
0
4,324
0
71
0
1,996
1.99
1.72
8
1.2
0
4,866
0
71
0
1,997
0.984
0.314
1
0.7
1
4,457
0
70
0
1,996
2.28
2.17
9
1.8
0
4,813
0
71
0
2,000
0.4
1.02
1
0.8
0
3,445
0
70
0
1,996
1.59
1.85
8
1.1
0
4,325
1
74
0
1,996
0.56
1.28
2
1.2
0
4,781
0
70
0
1,995
1.21
1.49
5
1
0
4,960
0
74
0
1,996
1.33
1.35
5
0.8
0
581
0
73
0
2,000
1.16
1.16
3
0.9
0
2,277
1
74
0
1,995
1.53
1.85
8
0.9
0
4,941
0
71
0
1,996
0.68
1.56
3
0.9
0
4,871
0
71
0
1,996
0.89
2.22
7
0.8
0
4,884
0
70
0
1,996
0.96
1.24
3
0.9
0
4,801
0
71
0
1,997
2.09
2.05
9
1.1
0
4,249
0
74
0
1,999
1.44
1.63
7
1
0
398
1
70
0
1,996
0.803
1.32
3
0.9
0
4,768
0
73
0
1,996
1.42
1.74
7
1.2
0
4,172
1
70
0
1,996
1.31
1.48
5
0.9
0
3,048
1
70
0
1,997
1.06
1.09
3
1
0
4,445
0
71
0
2,001
1.57
1.48
6
1
0
2,769
1
71
0
1,996
0.7
1.16
2
0.8
0
4,880
0
70
0
1,996
1.53
1.37
6
1
0
4,787
0
72
0
2,001
1.41
1.76
7
1
0
1,653
1
72
0
1,996
1.34
1.05
4
0.8
0
4,621
0
71
0
1,996
1.2
1.61
6
0.8
0
1,498
1
72
0
2,001
1.51
1.25
5
0.9
0
3,081
0
72
0
1,997
1.75
1.89
8
1
0
4,513
0
70
0
1,995
0.63
1.08
1
0.6
0
4,532
1
72
0
1,996
1.24
1.79
6
1.1
0
4,831
0
73
0
1,996
1.02
1.35
4
1.1
0
1,087
1
72
0
1,996
1.73
2.33
9
1.2
0
2,141
1
71
0
1,996
0.51
0.95
1
0.8
0
4,866
0
74
0
1,997
1.57
2.36
9
1
0
4,019
1
70
0
1,996
1.66
2.19
8
1
0
3,259
1
70
0
1,999
1.36
1.61
6
0.7
0
1,410
1
74
0
1,996
0.802
1.29
3
0.9
0
4,710
0
73
0
1,998
1.16
1.61
5
0.9
0
4,125
0
71
0
1,997
1.21
1.32
4
0.9
0
4,444
0
72
0
1,997
1.67
1.83
8
0.8
0
4,543
0
73
0
1,995
2.25
3.43
10
1
0
49
1
70
0
1,996
1.57
1.62
7
1
0
4,565
0
72
0
1,995
2.78
3.01
10
1
0
4,029
1
71
0
1,995
1.16
1.5
5
0.7
0
2,719
1
70
0
1,995
1.59
1.58
7
1.1
0
3,477
1
73
0
1,997
0.652
1.46
3
0.9
0
4,528
0
71
0
1,998
5.26
3.83
10
0.9
0
4,162
0
72
0
1,997
1.87
1.81
8
0.8
0
3,333
0
71
0
1,997
1.65
2.05
8
0.7
0
3,097
1
74
0
1,996
1.21
1.65
6
1
0
4,639
0
73
0
2,000
1.32
0.955
3
0.9
0
3,205
0
70
0
1,998
1.95
1.83
8
1.1
0
4,121
0
74
0
1,997
1.75
1.74
8
0.8
0
4,143
1
71
0
1,996
0.74
1.72
4
1.2
0
4,892
0
74
0
1,995
1.15
1.46
5
1.1
0
4,674
1
70
0
1,995
0.97
2.11
7
0.9
0
4,949
0
70
0
1,996
1.56
2.92
9
0.9
0
4,919
0
72
0
1,996
1.53
1.19
5
1
0
4,823
0
71
0
1,996
2.18
2.25
9
1.2
0
4,781
0
73
0
1,996
0.65
1.28
2
0.7
0
4,859
0
70
0
1,999
0.69
1.65
4
1
0
1,693
1
70
0
1,996
1.18
1.77
6
1
0
4,786
0
73
0
1,996
1.16
0.93
3
1
0
4,829
0
71
0
1,997
1.52
1.74
7
1
0
4,351
0
73
0
1,997
2.68
3.13
10
1.4
0
106
1
71
0
1,997
1.75
1.4
7
1.2
0
2,696
1
72
0
1,996
2.46
2.04
9
1.1
0
4,649
0
74
0
1,996
1.36
1.18
4
1
0
4,759
0
74
0
2,000
1.7
1.14
6
0.9
0
3,345
1
71
0
1,996
2.01
2.79
10
1
0
4,674
1
72
0
1,996
2.43
2.75
10
0.9
0
3,591
1
72
0
1,997
2.08
1.53
8
1.2
0
3,449
1
73
0
1,996
0.595
0.464
1
1
0
4,572
0
72
0
2,001
2.52
3.81
10
1
0
2,586
1
73
0
1,996
1.73
1.8
8
1
0
4,927
0
71
0
1,996
0.97
1.49
4
0.7
0
4,640
0
72
0
1,997
1.74
2.46
9
0.9
0
4,216
0
70
0
1,996
1.4
1.56
6
0.8
0
4,760
0
72
0
1,997
1.02
0.885
2
0.8
0
4,408
0
71
0
1,996
0.74
1
1
0.6
0
4,837
0