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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
79
0
1,996
1.29
2.88
9
1.1
0
3,155
1
77
0
1,998
1.66
1.7
7
1
0
4,060
0
77
0
1,996
1.31
1.62
6
0.8
0
4,746
0
78
0
1,997
1.38
2.02
8
1.1
0
3,900
1
77
0
1,996
1.06
1.66
5
0.9
0
2,998
1
77
0
1,996
1.95
1.76
8
0.9
0
1,304
1
78
0
1,996
0.44
1.22
1
1.1
0
4,625
0
78
0
1,997
3.32
3.45
10
1.6
0
3,675
1
78
0
1,995
1.451
1.45
6
0.7
0
4,617
1
75
0
1,996
0.71
1.27
2
0.9
0
3,676
1
77
0
1,996
1.43
1.41
6
0.9
0
82
1
79
0
1,999
1.34
1.31
5
1
0
2,523
1
78
0
1,996
1
1.03
2
1.2
0
3,037
1
79
0
1,997
1.23
1.56
5
1.1
0
2,884
1
77
0
1,999
3.09
1.98
10
1.3
0
3,453
1
76
0
1,997
1.13
1.11
3
1.1
0
4,352
0
79
0
1,995
1.94
2.02
9
1.3
0
419
1
78
0
1,997
0.845
1.22
2
0.8
0
4,467
0
78
0
1,995
1.14
1.52
5
0.8
0
218
1
75
0
1,996
1.24
1.26
4
1
0
3,930
1
76
0
1,996
0.747
1.4
3
0.8
0
4,618
0
75
0
1,998
2.76
2.46
10
1
0
995
1
76
0
1,996
2.39
2.43
10
0.9
0
2,478
1
79
0
1,997
1.38
1.08
4
1.4
0
3,537
1
78
0
1,996
1.46
4.17
10
0.6
0
4,373
1
77
0
1,995
0.66
1.14
2
0.9
0
4,974
0
76
0
1,996
1.18
1.34
4
1.1
0
3,997
1
76
0
1,996
1.72
1.61
7
0.9
0
4,647
0
77
0
1,997
1.83
2
8
1.3
0
2,815
1
75
0
1,996
1.51
2.59
9
0.8
0
4,872
0
77
0
1,998
2.79
2.32
10
1.2
0
3,872
0
78
0
1,997
2.39
1.67
9
0.8
0
3,325
1
77
0
1,996
1.77
1.83
8
1
0
4,774
0
78
0
1,998
1.18
0.867
2
1
0
928
0
77
0
1,996
2.54
2.62
10
1
0
42
1
76
0
1,996
2.68
4
10
1.1
0
3,961
1
77
0
1,995
1.48
1.5
6
1
0
3,586
1
77
0
1,996
0.51
1.86
4
1
0
4,820
0
79
0
1,996
1.6
1.68
7
0.9
0
1,419
1
76
0
1,996
0.783
0.999
2
0.8
0
4,698
0
76
0
1,997
1.46
1.24
5
0.9
0
1,123
1
79
0
1,997
1.13
2.06
7
0.6
0
789
1
75
0
1,996
1.82
2.4
9
0.7
0
4,785
0
76
0
1,996
0.992
1.11
3
1
0
4,655
0
77
0
1,997
0.636
1.57
3
0.8
0
4,550
0
79
0
1,995
1.12
1.36
4
1
0
4,961
0
75
0
2,001
1.69
2.45
9
1
0
2,830
0
79
0
1,996
2.58
2.43
10
1.8
0
3,488
0
77
0
1,998
1.81
1.81
8
0.9
0
14
1
78
0
1,997
0.687
1.26
2
0.7
0
3,044
1
77
0
1,995
0.95
1.08
2
1
0
4,622
1
78
0
1,996
1.53
1.58
7
0.8
0
2,877
1
75
0
1,998
1.49
1.43
6
1
0
3,871
0
76
0
1,996
1.56
1.06
5
1.1
0
4,764
0
79
0
1,998
1.14
2.11
7
1
0
160
1
77
0
1,996
1.65
2.41
9
0.8
0
2,104
1
75
0
1,998
1.62
1.63
7
1
0
4,059
0
75
0
1,997
1.58
1.81
8
0.9
0
2,948
1
79
0
1,997
1.51
1.55
6
1
0
1,679
1
76
0
1,998
1.9
1.58
8
1
0
4,110
0
79
0
1,996
1.27
1.18
4
1.2
0
2,803
1
77
0
1,998
1.38
1.1
4
1.2
0
4,019
0
77
0
1,996
1.56
2.02
8
1
0
4,585
0
79
0
1,996
1.32
2.14
8
1.3
0
4,766
0
78
0
1,996
1.21
1.14
4
1.1
0
4,750
0
77
0
1,996
1.04
0.96
2
1
0
2,084
0
76
0
1,996
2.16
2.1
9
1.2
0
4,632
0
76
0
1,996
1.42
1.45
6
1.4
0
4,556
1
76
0
1,996
1.64
2.81
9
1.2
0
3,864
0
78
0
1,998
1.68
1.33
6
0.6
0
2,323
1
76
0
1,996
0.63
1.52
3
0.8
0
4,908
0
75
0
1,996
1.49
1.75
7
0.8
0
2,879
1
76
0
1,997
1.1
1.4
4
1
0
4,436
0
78
0
1,996
0.383
1.1
1
0.6
0
1,603
1
76
0
1,995
0.95
1.23
3
0.9
0
4,990
0
75
0
1,997
1.15
1.82
6
0.9
0
4,389
0
78
0
1,997
0.709
1.41
3
0.8
0
814
1
79
0
1,995
0.87
1.22
3
0.7
0
880
1
75
0
1,996
0.92
1.32
3
1.1
0
4,641
0
78
0
1,995
2.27
1.66
9
0.9
0
4,978
0
77
0
2,001
2.73
3.61
10
1.1
0
727
1
76
0
1,996
1.91
1.81
8
1.1
0
99
1
79
0
1,996
2.17
2.02
9
0.9
0
1,876
1
77
0
1,997
1.77
1.55
7
1.4
0
3,155
1
79
0
1,997
2.05
2.57
9
1.3
0
4,481
0
78
0
1,995
2.32
1.94
9
0.9
0
2,031
1
77
0
1,997
1.48
1.77
7
1
0
4,422
0
77
0
1,996
1.22
1.2
4
0.9
0
4,697
0
78
0
1,996
1.87
2.41
9
0.9
0
1,652
1
77
0
1,996
0.73
1.09
2
0.9
0
4,110
1
77
0
1,996
1.07
1.42
4
0.8
0
1,393
1
77
0
1,996
1.49
1.57
6
0.9
0
4,653
0
78
0
1,997
1.96
2.18
9
0.9
0
1,890
1
75
0
1,996
1.31
1.28
5
0.9
0
4,891
0
76
0
1,997
0.678
2.04
5
0.8
0
3,596
1
78
0
2,001
2.17
1.92
9
1.2
0
695
1
76
0
1,996
0.637
0.911
1
1
0
4,732
0
78
0
1,996
1.69
1.83
8
1.4
0
2,978
1
77
0
1,997
1.6
1.58
7
1
0
4,412
0
78
0
1,996
0.9
1.22
3
1.1
0
3,924
1