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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
59
1
1,997
0.89
1.17
2
1.1
0
4,492
0
56
1
1,997
1.72
1.31
6
1.2
0
4,459
0
59
1
1,996
2.34
3.07
10
2.5
0
1,338
1
56
1
1,998
0.968
0.929
2
1.2
0
4,052
0
58
1
1,997
0.883
0.952
2
1.2
0
4,296
0
56
1
1,998
0.756
1.26
2
1.2
0
3,620
0
56
1
2,000
1.58
2.19
8
1.1
0
3,224
0
56
1
1,998
1.68
1.64
7
1.4
0
3,934
0
58
1
1,996
1.42
1.78
7
1
0
4,882
1
57
1
1,996
0.29
1.03
1
1.1
0
4,817
0
57
1
1,996
1.32
0.94
3
1
0
4,829
0
55
1
2,000
0.874
0.575
1
1.2
0
649
0
58
1
2,000
1.66
2.4
9
1.1
0
3,436
0
56
1
1,998
1.19
1.33
4
0.9
0
484
0
55
1
1,997
1.34
1.48
6
1.2
0
4,558
0
58
1
1,996
1.2
1.82
6
1
0
4,738
0
59
1
1,996
2.73
2.34
10
1.4
0
4,607
0
56
1
1,998
2.07
2.06
9
1.2
0
4,071
0
59
1
2,001
1.64
1.91
8
1.3
0
288
0
58
1
2,000
1.71
1.77
8
1.3
0
3,323
0
57
1
1,995
0.36
1.06
1
1.1
0
5,003
0
56
1
1,996
1.81
1.46
7
0.9
0
4,585
0
55
1
1,996
0.988
1.49
4
1.1
0
4,719
0
57
1
1,999
1.25
1.5
5
1.2
0
3,826
0
56
1
2,000
1.91
1.89
8
1
0
2,956
0
57
1
1,996
1.34
1.71
6
1.1
0
4,919
0
59
1
1,997
1.1
1.6
5
1.1
0
2,943
1
58
1
1,998
1.92
3.02
10
1.2
0
1,708
0
55
1
1,997
2.13
2.12
9
1
0
4,424
0
58
1
1,997
0.412
0.471
1
1.2
0
4,542
0
56
1
1,996
2.09
2.36
9
1.1
0
2,453
0
57
1
1,997
2.73
1.9
9
0.9
0
3,544
1
55
1
1,995
1.22
1.2
4
1
0
5,002
0
58
1
1,996
1.51
2.52
9
1
0
4,731
0
59
1
1,995
0.96
1.1
2
1.1
0
4,989
0
59
1
1,997
0.816
1.44
3
1.1
0
4,339
0
58
1
2,000
1.99
1.48
8
1.5
0
3,337
0
56
1
1,997
1.51
1.85
7
1
0
4,541
0
58
1
1,997
1.19
0.969
3
1.5
0
4,264
0
59
1
1,998
0.117
0.176
1
1.7
0
2,550
0
57
1
1,998
1.17
1.42
5
1
0
3,879
0
57
1
1,995
2.11
1.98
9
1.2
0
4,982
0
58
1
1,996
1.3
1.4
5
1
0
4,708
0
58
1
1,995
3.85
3.26
10
1.4
0
1,484
1
57
1
1,996
1.8
1.91
8
1.1
0
4,590
0
58
1
1,996
1.36
1.11
4
1.3
0
3,864
1
55
1
1,996
0.79
1.42
3
1
0
469
0
57
1
1,999
1.73
2.08
8
1.4
0
1,077
0
57
1
1,997
0.672
1.89
5
1
0
4,493
0
55
1
1,996
0.978
1.17
3
1.2
0
4,641
0
57
1
1,996
1.32
1.76
7
1.3
0
4,626
0
59
1
2,001
1.17
1.38
4
1.1
0
3,008
0
57
1
1,996
0.81
0.92
1
1.1
0
4,606
0
58
1
1,996
0.994
1.35
4
1.2
0
4,759
0
55
1
1,997
1.06
0.964
2
1.2
0
4,366
0
56
1
1,995
0.97
1.29
3
1
0
4,633
0
57
1
1,996
0.49
0.94
1
1.2
0
3,541
0
55
1
1,999
0.666
0.428
1
1.1
0
3,826
0
58
1
1,998
0.978
1.07
2
1.1
0
3,932
0
55
1
1,996
0.85
1.09
2
1
0
4,849
0
56
1
1,997
0.731
1.44
3
1.1
0
4,527
0
55
1
1,999
1.61
2.35
9
1.1
0
3,502
0
57
1
1,996
1.39
2.01
8
1.2
0
4,905
0
55
1
1,998
0.991
1.05
2
1.1
0
4,180
0
57
1
1,997
1.12
0.955
2
1.1
0
4,474
0
58
1
1,996
0.65
1.11
2
1
0
4,824
0
56
1
1,997
1.19
1.19
4
1
0
4,264
0
58
1
1,995
2.04
2.34
9
1
0
4,992
0
55
1
1,996
2.05
3.39
10
1
0
4,911
0
55
1
1,996
1.38
1.43
6
1.1
0
3,518
0
56
1
1,998
1
1.72
5
1.1
0
3,925
0
58
1
1,997
1.86
1.57
8
1.1
0
3,274
1
56
1
1,998
1.44
0.581
2
1.4
1
4,197
0
55
1
1,997
0.912
1.28
3
1
0
4,232
0
58
1
1,999
0.862
2.14
6
1.1
0
3,781
0
55
1
1,995
1.51
1.67
7
1
0
976
1
57
1
1,996
0.62
0.502
1
1.1
0
4,695
0
56
1
1,996
1.41
1.36
5
1
0
4,897
0
55
1
1,998
0.336
1.22
1
1.1
0
3,889
0
55
1
1,996
1.66
1.61
7
1.1
0
4,754
0
56
1
1,996
0.344
0.979
1
1.3
0
4,585
0
56
1
2,000
1.77
2.82
9
1.2
0
3,130
0
56
1
1,995
1.24
1.55
5
1.3
0
3,228
0
55
1
1,997
0.37
0.701
1
0.9
0
4,555
0
56
1
1,996
1.39
1.46
6
1
0
4,697
0
56
1
1,996
0.5
0.82
1
1.1
0
4,740
0
59
1
1,999
1.57
1.42
6
1.3
0
3,485
0
59
1
1,995
0.82
1.15
2
0.7
0
4,949
0
55
1
1,997
1.54
1.5
6
1
0
4,325
0
58
1
1,998
1.94
3.76
10
1.3
0
3,910
0
59
1
1,996
1.68
1.61
7
1.4
0
4,663
0
59
1
1,995
0.76
1.13
2
1.1
0
4,988
0
55
1
1,995
1.28
1.5
5
1.2
0
4,957
0
59
1
2,001
2.93
2.48
10
1.3
0
3,009
0
58
1
1,996
0.783
1.25
2
1
0
4,626
0
58
1
1,996
0.77
1.42
3
1
0
4,688
0
55
1
1,997
0.719
0.332
1
0.6
1
2,941
0
57
1
1,997
0.822
1.55
4
1.1
0
4,303
0
57
1
1,998
1.62
1.75
7
1.2
0
4,096
0
59
1
1,997
1.55
1.31
6
1.8
0
2,786
1