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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
56
1
1,997
1.44
2.52
9
1.1
0
4,316
0
56
1
1,999
2.24
3.16
10
1.2
0
3,143
0
55
1
1,995
1.38
1.56
6
1.1
0
4,998
0
56
1
1,998
0.862
1.03
2
1.3
0
4,004
0
55
1
1,996
0.97
2.13
7
1.2
0
4,849
0
58
1
1,997
1.08
1.52
5
1
0
4,409
0
55
1
1,996
1.3
1.11
4
1.2
0
4,752
0
57
1
1,997
1.36
1.42
5
1
0
4,515
0
56
1
1,998
0.847
0.99
2
1
0
4,190
0
56
1
1,998
1.34
1.88
7
1.2
0
4,183
0
55
1
1,997
1.95
1.46
8
1.3
0
4,227
0
58
1
1,996
1.27
1.66
6
1.2
0
4,771
0
55
1
1,997
1.08
1.28
4
1.1
0
4,264
0
55
1
1,997
1.28
1.43
5
1.1
0
746
1
57
1
1,995
1.87
3.79
10
1.9
0
4,114
1
59
1
2,001
0.852
0.747
1
0.9
0
1,107
1
56
1
1,997
2.11
2.04
9
1.3
0
4,493
0
57
1
1,996
0.39
0.302
1
1.1
0
4,661
0
58
1
1,996
1.41
1.18
5
1
0
4,736
0
57
1
1,996
2.94
2.02
10
1
0
4,675
0
56
1
1,996
0.81
1.21
2
1.1
0
3,269
0
57
1
1,997
1.34
1.33
5
1.1
0
3,323
1
59
1
1,996
0.74
1.1
2
0.9
0
4,834
0
55
1
1,996
2.34
3.74
10
1.3
0
4,876
0
56
1
1,996
1.65
2.12
8
1.2
0
4,928
0
57
1
1,997
0.96
1.42
4
1.6
0
4,234
0
58
1
1,997
2.89
3
10
1.5
0
4,316
0
57
1
1,997
1.41
1.05
4
1
0
4,505
0
58
1
1,998
1.33
1.57
6
1.4
0
3,868
0
56
1
1,996
2.11
2.17
9
1.1
0
4,926
0
57
1
1,995
0.5
0.8
1
1.1
0
5,002
0
55
1
2,001
1.5
1.4
6
1.2
0
3,002
0
59
1
2,000
1.59
1.25
6
1
0
3,445
0
55
1
2,001
0.823
0.997
2
1.1
0
2,933
0
55
1
1,997
1.04
1.55
5
1
0
4,457
0
57
1
1,997
1.01
1.11
3
0.9
0
4,216
0
59
1
1,996
1.87
2.13
9
0.9
0
4,844
0
58
1
1,998
0.866
1.15
2
1.2
0
4,073
0
59
1
1,997
1.03
1.62
5
1
0
4,389
0
55
1
1,996
1.79
1.49
7
1.2
0
4,752
0
57
1
1,997
1.23
2.01
7
1.2
0
4,440
0
59
1
1,996
1.94
2.44
9
1.4
0
234
1
56
1
1,997
1.33
0.989
3
1.3
0
1,194
1
55
1
1,997
2.02
1.82
8
0.9
0
4,521
0
57
1
1,996
0.75
1.36
3
1.1
0
4,921
0
59
1
1,999
1.31
1.6
6
1.2
0
3,823
0
55
1
1,998
1.12
1.16
3
1.1
0
4,166
0
55
1
1,998
0.916
1.07
2
1.1
0
3,831
0
57
1
1,997
0.318
0.889
1
1.1
0
4,527
0
55
1
1,996
0.47
1.28
1
0.8
0
4,438
1
57
1
1,997
0.86
0.99
2
1.1
0
4,214
0
58
1
1,996
1.6
1.74
7
1.1
0
4,589
0
58
1
1,997
1.29
1.34
5
1.2
0
4,254
0
55
1
1,998
1.38
2.18
8
1.4
0
3,733
0
58
1
1,996
1.07
2
7
1.2
0
4,117
1
56
1
1,999
4.07
5.15
10
1.1
0
3,714
0
58
1
1,996
0.74
1.15
2
1.2
0
4,877
0
59
1
1,995
1.56
2.15
8
1.3
0
162
1
57
1
2,000
1.08
1.3
4
1
0
3,273
0
55
1
1,996
1.01
1.27
3
1.1
0
2,754
0
56
1
1,998
1.74
2.71
9
1.3
0
4,172
0
56
1
1,996
0.942
1.32
3
1.2
0
2,161
1
57
1
1,996
1.22
1.72
6
0.9
0
4,618
0
59
1
1,999
1.56
1.92
8
1.4
0
3,602
0
59
1
1,996
0.95
1.18
3
1.1
0
4,814
0
57
1
1,996
1.6
1.62
7
1.2
0
307
1
55
1
1,997
1.45
1.58
6
1.1
0
4,514
0
55
1
1,997
1.22
1.41
5
1.2
0
4,506
0
57
1
1,998
1.75
1.88
8
1.3
0
4,051
0
55
1
1,997
0.953
2
6
1.1
0
4,554
0
59
1
2,001
2.69
1.89
9
1.5
0
3,078
0
57
1
1,995
0.8
1.15
2
1.1
0
4,932
0
58
1
1,996
1.51
1.56
7
1
0
4,732
0
56
1
1,997
0.337
0.306
1
1.5
0
4,215
0
57
1
1,995
0.61
1.2
2
0.8
0
4,950
0
56
1
1,995
1.18
1.16
4
1.3
0
4,975
0
57
1
1,996
0.75
1.37
3
1.2
0
14
0
56
1
1,995
0.94
1.37
3
1.1
0
4,947
0
57
1
1,995
2.02
5.92
10
1
0
3,512
0
59
1
1,997
1.18
1.79
6
1.3
0
4,292
0
57
1
1,996
1.2
1.6
5
1.3
0
4,868
0
58
1
1,995
1.6
1.79
8
1
0
3,518
0
57
1
1,997
0.875
0.964
2
1.1
0
4,262
0
59
1
2,000
0.812
0.854
1
1.3
0
3,211
1
57
1
1,996
1.12
1.28
4
1.2
0
4,787
0
58
1
2,001
1.55
1.05
5
1.1
0
2,891
0
59
1
1,996
2.24
2.29
9
1.2
0
4,083
1
57
1
1,996
1.7
1.66
7
1.1
0
4,904
0
56
1
2,000
1.05
1.16
3
1.1
0
2,411
0
59
1
1,996
1.37
1.72
7
1.1
0
3,508
1
55
1
1,996
1.1
1.63
5
1.2
0
4,785
0
59
1
1,997
1.14
1.4
4
1.2
0
4,549
0
55
1
1,997
1.22
1.37
5
1.1
0
4,359
0
56
1
1,996
0.323
0.597
1
1.1
0
4,589
0
56
1
1,996
1.66
1.74
8
1
0
4,816
0
57
1
1,997
0.926
1.38
3
1
0
4,416
0
58
1
1,996
1.5
1.78
7
0.9
0
476
0
55
1
1,997
1.19
1.58
5
1.1
0
4,275
0
56
1
1,996
1.15
1.23
4
1.2
0
4,606
0
56
1
1,997
0.983
1.53
4
1
0
4,340
0