pawleymatthew / deepweibull Goto Github PK
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DeepWeibull: a deep learning approach to parametric survival analysis
Hello @pawleymatthew !
Not sure if you are still support this repo since its been a few years, but I figured heck I'll give it a try...
Firstly, thanks for the great repo. Very well organized code. I didn't have to do too much to update it to new versions of various python packages.
My question in this issue regards reproducing your metabric size experiments.
I reran the full experiment and here are my results:
This looks a bit different than your results, esp. with respect to the performance of deep_weibull and I'm sure I've missed something.
One thing I noticed is that your repo already captured various experiments from proportion=0.05 to 0.60 in a csv.
Question: Did you run those with special training parameters not captured in the current code?
Anyway, I'm sure I'm missing something obvious.
Thanks for any help you can lend!
( If it helps, my code is in a forked repo as you can see from the experiment results image above. )
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