Egil Martinsson

# General answer NaN is *always* a problem, and it's hard to debug. Some starting points: 1) Assume the problem is leaky truth in your data! * If truth about...

Some numerical problems I've been thinking about for the discrete case: * `alpha = 0` leading to divide by zero. * `y == 0` leading to `log(0)` since `K.pow` may...

Also pertinent to your problem: There's a very subtle philosophical problem at the first step of sequences that may expose the truth: If a sequence is born due to an...

Hi Adam, thank you for your question. If I understand it right, on the format`(tstart,tstop,feature)` *feature* is true from *tstart* to *tstop* (example, certain bloodpressure during a period of time)....

Your data should consist of two tensors, one for the features (`x`) and one for the tte and (non)censoring indicators (`y`). If you only have data on month-time resolution then...

1. That sounds like what it should do yes, what's the output instead? 2. Yes, I add nan-padding initially which is great for preprocessing/plotting purposes but you need to change...

Thank you @chris-english for the very kind supportive words and very interesting read. I've been thinking alot about trying to make a R- plug&play package but never had the reason...

Great update. I don't have access to GPU right now so I haven't run the unit-tests for CUDA for a while. One initial theory is that I think cuda-batchnorm is...

If you find anything inside WTTE not working properly with GPU it would be very good to know thanks alot for raising issue. For general NaN-avoidance there are many other...

Another idea I forgot; I've had problems getting GPU to respect the random seed I set for it, but that might be a pytorch problem. If you repeat experiment using...