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autonlab
/
auton-survival
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
http://autonlab.github.io/auton-survival
MIT License
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Question about predictions on right-censored data
#143
tyler-keller
opened
1 day ago
0
Questions about DSM
#142
WenxiongLiao
opened
1 month ago
0
requirement text file
#141
sbmubs
opened
4 months ago
10
Error with CMHE model
#140
boiarsky18
opened
6 months ago
0
Error in DSM on Support Dataset notebook
#139
kevinlazenby
opened
7 months ago
1
AssertionError: Times should be within the range of event times to avoid exterpolation
#138
rvandewater
opened
8 months ago
2
feat: improvements for federated learning and QoL
#137
matteo4diani
opened
8 months ago
2
build(torch): relax torch constraints to allow for torch v2
#136
matteo4diani
opened
8 months ago
0
Unable to install package
#135
wuduxunran
opened
8 months ago
2
feat(dcph): enable federated learning with DeepCoxPH
#134
matteo4diani
closed
8 months ago
2
opened by mistake
#133
matteo4diani
closed
8 months ago
0
Update readme for new installation method
#132
rvandewater
opened
8 months ago
2
Error in the example notebook: 'RandomSurvivalForest' object has no attribute 'event_times_'
#131
raheems
opened
8 months ago
1
Age feature in pbc2
#130
ayushpatnaikgit
opened
9 months ago
1
feat: trigger first release on PyPI
#129
matteo4diani
closed
9 months ago
0
ValueError: could not convert string to float: 'Rural Adj'
#128
sbpatel2009
opened
11 months ago
2
ci: Add semver-compliant CI-CD and poetry dependency management
#127
matteo4diani
closed
10 months ago
0
AttributeError: module 'auton_survival' has no attribute 'plot_kaplanmeier'
#126
sbpatel2009
opened
11 months ago
4
Remove /dsm
#124
matteo4diani
closed
11 months ago
0
Fix non-PEP indentation
#123
matteo4diani
opened
1 year ago
0
Remove DSM
#122
matteo4diani
closed
10 months ago
0
Packaged project using the flit build system
#121
IvanUniTO
opened
1 year ago
0
Enable federated learning with DeepCoxPH
#120
matteo4diani
opened
1 year ago
0
error with DCM: PROBABILITY TENSOR
#119
tommyvcc
opened
1 year ago
1
Plotting predicted probability versus actual probability at different time points
#118
tommyvcc
opened
1 year ago
1
Install as VCS via pip or poetry
#117
matteo4diani
closed
11 months ago
2
Stacking DCM and DSM
#116
tommyvcc
opened
1 year ago
1
Add pyproject.toml to root dir to facilitate install as VCS or local dependency
#115
matteo4diani
closed
1 year ago
1
Calculate log partial likelihood for the DCM
#114
tommyvcc
opened
1 year ago
2
saving models?
#113
zapaishchykova
closed
1 year ago
1
Supervised Phenotyping with Deep Cox Mixtures (DCM)-How to check phenotype characteristics
#112
tommyvcc
opened
1 year ago
1
Jupyter notebook for competing risk demo 0
#111
tommyvcc
opened
1 year ago
1
Ordering of rows and its effect on outcome
#110
tommyvcc
opened
1 year ago
1
Arranging rows, and competing ridk
#109
tommyvcc
opened
1 year ago
1
Update double call raising an error
#108
Jeanselme
opened
1 year ago
0
The parameter of shape and scale become NaN
#107
JiangWatson
closed
1 year ago
3
Problems in DeepCoxMixture with possible solutions
#106
braisCB
opened
1 year ago
1
mat1 and mat2 shapes cannot be multiplied (10424x58 and 57x100)
#105
tommyvcc
closed
1 year ago
5
Error evaluating AUC
#104
tommyvcc
opened
1 year ago
2
AUC time horizon
#103
tommyvcc
opened
1 year ago
1
Measure harrell C score
#102
tommyvcc
opened
1 year ago
1
survival_diff_metric is not defined
#100
zapaishchykova
closed
1 year ago
1
what is "uncensored time control" and "uncensored time treated"
#99
zapaishchykova
closed
1 year ago
3
any way to visualize DSM features? Shap: Deepexplainer does not work with outputs
#98
mahyahemmat
closed
1 year ago
3
ValueError: optimizer got an empty parameter list
#96
yihahn
opened
1 year ago
2
Applying DSM on competing risks data
#95
Bokyeong1001
closed
1 year ago
3
ValueError: Input estimate contains NaN
#94
zapaishchykova
closed
1 year ago
10
RuntimeError: expected scalar type Float but found Double
#93
zapaishchykova
closed
1 year ago
5
image_path = os.path.join(Base_Dir, filename) before = int(temp[0]) after = int(temp[1]) failure = int(temp[2]) image_path.append(image_path) NameError: name temp is not defined
#92
AseelSatar
closed
1 year ago
1
Increasing validation loss in RDSM with time-varying data
#91
ryuzakizh
opened
1 year ago
9
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