Comments (3)
It's hard to be able to pin point what might be the source of the problem w/o having more information on the dataset..
In our experience DSM typically works atleast as well if not better than Deephit on most datasets we experimented with.
Have you tried tuning the DSMs temperature parameter? 'temp' perhaps between [1, 50, 100] ? (Default is 1000).
If that doesn't help, feel free to email me at and we can discuss offline.
from auton-survival.
@Bokyeong1001 i think there might be a bug in your code.
You aren't really using the model with the lowest nll, you're reusing the last model. You need to make sure you're using the model with the lowest neg log likelihood.
from auton-survival.
Thank you so much!
I will fix the bug and try again with tuning 'temp' parameter.
If it doesn't work, I will email with information about dataset.
from auton-survival.
Related Issues (20)
- Supervised Phenotyping with Deep Cox Mixtures (DCM)-How to check phenotype characteristics HOT 1
- saving models? HOT 1
- Calculate log partial likelihood for the DCM HOT 2
- Add pyproject.toml to root dir to facilitate install as VCS or local dependency HOT 1
- Stacking DCM and DSM HOT 1
- Plotting predicted probability versus actual probability at different time points HOT 1
- error with DCM: PROBABILITY TENSOR HOT 1
- Enable federated learning with DeepCoxPH
- Remove DSM
- Fix non-PEP indentation
- AttributeError: module 'auton_survival' has no attribute 'plot_kaplanmeier' HOT 4
- ValueError: could not convert string to float: 'Rural Adj' HOT 2
- Age feature in pbc2 HOT 1
- Error in the example notebook: 'RandomSurvivalForest' object has no attribute 'event_times_' HOT 1
- opened by mistake
- Unable to install package HOT 2
- AssertionError: Times should be within the range of event times to avoid exterpolation HOT 2
- Error in DSM on Support Dataset notebook HOT 1
- Error with CMHE model
- requirement text file HOT 9
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from auton-survival.