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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
82
0
1,996
1.97
3.16
10
1
0
4,878
0
80
0
1,996
1.93
1.94
9
1.3
0
3,114
1
81
0
1,995
1
1.49
4
1
0
4,981
0
89
0
1,998
2.28
1.75
9
1
0
2,481
1
80
0
1,997
2
2.61
9
0.9
0
2,930
1
85
0
1,996
2.98
3.09
10
1.2
0
2,435
1
88
0
1,997
2.21
3.35
10
1.4
0
1,195
1
80
0
1,997
3.07
3.45
10
1.9
0
3,645
1
82
0
2,001
1.28
0.817
3
0.9
0
2,836
1
87
0
1,996
1.23
1.8
6
1
0
3,285
1
80
0
1,996
1.41
1.11
4
0.9
0
2,635
1
87
0
1,997
2.66
2.65
10
0.7
0
1,216
0
89
0
1,996
3.16
3.15
10
0.7
0
830
1
83
0
1,996
1.82
2.03
8
1
0
4,662
0
87
0
1,996
1.41
1.33
5
0.8
0
3,367
1
84
0
1,997
1.17
1.32
4
1
0
2
1
82
0
1,997
2.39
1.57
9
1.6
0
3,995
1
87
0
1,997
2.06
1.64
8
1.3
0
751
1
80
0
1,996
1.62
1.76
8
1
0
1,504
1
86
0
1,996
2.72
2.56
10
1.2
0
459
1
80
0
1,996
2.72
2.91
10
1.2
0
4,357
1
83
0
1,996
3.49
6.48
10
1.4
0
3,547
1
82
0
1,997
1.54
1.55
7
1.3
0
4,402
0
80
0
1,995
1.12
1.71
6
0.9
0
5,004
0
80
0
1,996
2.26
3.71
10
1.1
0
1,973
0
83
0
1,995
1.97
2.84
10
0.7
0
4,202
1
80
0
1,996
2.6
1.89
9
1.9
0
121
1
81
0
1,997
1.84
1.76
8
0.9
0
691
1
82
0
1,996
1.91
2.06
9
1
0
3,618
1
84
0
1,997
1.42
1.75
7
0.8
0
2,439
1
88
0
1,997
5
4.42
10
0.8
0
54
1
82
0
1,998
1.05
1.37
4
1.1
0
1,299
0
85
0
1,995
2.51
2.26
10
1.4
0
2,967
1
80
0
1,996
1.11
1.55
5
0.8
0
4,556
1
82
0
1,995
1.55
1.36
6
0.9
0
4,957
0
84
0
1,996
2.35
1.72
9
1.2
0
3,140
0
80
0
1,996
1.25
1.45
5
1
0
3,653
1
83
0
1,996
1.81
3.57
10
1
0
2,892
1
83
0
1,995
0.83
1.14
2
1
0
3,610
1
84
0
1,996
1.36
1.55
6
1.1
0
3,002
1
81
0
1,996
1.93
3.32
10
1.8
0
1,379
1
83
0
1,996
1.11
1.37
4
1.2
0
4,855
0
84
0
1,996
2.58
4.24
10
1.2
0
266
1
81
0
1,999
1.61
2.13
8
1.3
0
3,730
0
86
0
1,997
3.12
2.36
10
1
0
3,288
1
81
0
1,995
0.34
0.86
1
0.9
0
27
1
88
0
1,996
1.7
3.77
10
1.3
0
1,657
1
81
0
1,996
1.44
1.81
7
1.1
0
4,731
0
81
0
1,997
1.19
1.7
6
0.8
0
1,918
1
84
0
1,996
1.59
1.61
7
1.4
0
3,037
1
86
0
1,996
1.11
1.68
5
1.5
0
2,575
1
83
0
1,998
1.28
1.22
4
1.1
0
3,917
0
82
0
2,000
1.44
1.16
5
0.8
0
3,367
0
86
0
1,997
3.44
4.29
10
1.3
0
468
1
84
0
1,996
2
1.92
9
0.9
0
4,041
1
85
0
1,996
3.14
2.94
10
1.3
0
1,633
1
83
0
1,996
1.83
2.3
9
1.2
0
1,632
1
81
0
1,997
1.58
1.66
7
0.8
0
1,724
1
80
0
1,996
1
2.64
8
1.2
0
1,441
1
82
0
1,997
1.8
2.36
9
1.3
0
37
1
81
0
1,996
1.74
1.49
7
1
0
2,236
1
81
0
1,996
2.01
2.4
9
1.5
0
3,016
1
84
0
1,996
0.988
1
2
0.8
0
4,641
0
86
0
1,996
1.25
1.23
4
1.2
0
3,354
1
83
0
1,997
1.3
1.05
4
1
0
4,464
0
83
0
1,995
0.82
1.18
2
1.1
0
5,025
0
80
0
1,996
1.07
2.09
7
1
0
4,913
0
81
0
1,996
1.49
1.25
5
1.1
0
3,065
1
83
0
1,996
0.904
0.963
2
1.1
0
4,666
0
81
0
1,995
1.24
1.82
6
1.1
0
467
0
80
0
1,999
2.26
3.01
10
1.3
0
3,651
0
85
0
1,996
1.98
1.52
8
1
0
1,448
1
83
0
1,997
2.56
1.71
9
0.9
0
1,440
1
81
0
1,996
1.75
1.64
8
1.8
0
2,304
1
80
0
1,995
6.28
7.58
10
1.1
0
527
1
83
0
1,997
2.78
2.44
10
1.5
0
79
1
80
0
1,996
2.12
1.38
8
1
0
4,005
1
83
0
1,997
0.273
0.478
1
0.8
0
2,473
1
82
0
1,997
0.83
1.25
2
0.9
0
3,080
0
89
0
1,996
1.68
1.76
8
0.8
0
538
1
86
0
1,998
1.6
1.49
7
1.1
0
4,143
0
82
0
1,997
1.37
1.37
5
1.1
0
4,470
0
88
0
1,996
1.3
1.09
4
1
0
4,033
1
82
0
1,996
0.95
1.54
4
0.7
0
2,534
0
84
0
1,997
1.43
1.68
7
0.8
0
373
1
84
0
1,996
1.21
1.46
5
1.3
0
1,638
1
86
0
1,998
1.34
1.93
7
0.7
0
3,596
1
81
0
1,999
1.25
1.05
3
1.4
0
3,342
1
80
0
1,995
1.51
1.68
7
0.9
0
3,812
1
80
0
1,995
2.92
4.51
10
1.1
0
291
1
88
0
1,998
1.32
1.7
6
1.1
0
1,539
1
84
0
2,001
3.14
2.42
10
1
0
660
1
84
0
1,996
1.77
3.33
10
1
0
4,893
0
82
0
1,996
1.19
1.8
6
0.8
0
3,176
1
80
0
1,997
2.15
1.81
9
1.1
0
151
1
80
0
1,996
1.27
1.26
4
1.2
0
4,165
1
81
0
1,995
1.67
1.5
7
1
0
4,985
0
82
0
1,995
0.96
1.37
3
0.9
0
549
1
86
0
1,995
0.77
1.29
2
0.9
0
4,823
1
85
0
1,998
1.97
2.08
9
0.8
0
278
1