pycox
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havakv
Survival analysis with PyTorch
Hello, Thank you so much for the excellent package on survival analysis. I am using the DeepHit model, and I observed a weird thing: I have a dataset with input...
Hi! Came across this wonderful package and I have a small idea for improvement: In here: https://github.com/havakv/pycox/blob/0e9d6f9a1eff88a355ead11f0aa68bfb94647bf8/pycox/models/loss.py#L422 you implement the logcumsumexp function manually, while pytorch has a built-in implementation: https://pytorch.org/docs/stable/generated/torch.logcumsumexp.html...
Hi, Havard. I'm using the CoxPH Model in my project, and trying to apply the corresponding Continuous-Time Loss function, CoxPHLoss, to calculate the loss. However, it got some errors. The...
Hi Håvard Kvamme, Thank you for your creating the pycox. it's been really helpful to implement survival model for different datasets. I am working on survival analysis for liver cancer...
Hello, I would like to thank you for your valuable survival analysis package pycox which helped us to fulfill our research project. We used the pycox code to test an...
Hi, dear Haavard When I execute this function---- ev=EvalSurv (surv, durations_test, events_test, center_surv='km '), the following error occurs: AttributeError Traceback (most recent call last) Cell In[27], line 1 ----> 1...
Changed `pd.Series.is_monotonic` to `pd.Series.is_monotonic_increasing` for newer versions of pandas.
Hi, thank you very much for this amazing package! Is there a way to add L1 and L2 penalty to coxph loss? Thank you in advance!
Hi, I was working on cross validation/ splitting data using different seed points and then train a PyCOX model before averaging the result. I tried to fix the data leakage...
