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Currently incubation period distributions are created by `make_cdf`. We want to allow for other diseases with other strains/covariants.
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Hi,
While trying the Weibull AFT Fitter, I used the 'check_assumptions' method to verify the PH assumption. I got the error "TypeError: compute_residuals() got an unexpected keyword argument 'kind'…
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If only a non-convergent model is run on a data set, the app will crash.
For example, the Weibull model does not converge for data set 8. If in the Setup and Apply models tab only the Weibull model…
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@ragulpr,
Spent the last very interesting month split between trying to implement this in R or magically arrive at a sufficient understanding of python to apply to this kaggle challenge:
https://w…
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If the distribution is in tensorflow probability you (generally) need only two methods:
1. initialize
- lists the arguments, as well as dimension and truncation (if applicable?)
- e.g…
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The process I'm trying to model using WTTE-RNN has two "typical" churn times, though customers can churn at any other time (they're simply a-priori more likely). This means that, at least when evaluat…
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Hi @dustinvtran
We've been playing around with censored observations in Edward, particularly inference with truncated Weibull distributions, where we know the observed times x are greater than som…
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### What can be improved?
We have to currently input vintage availability manually. Ideally we would input it programatically as part of the math.
I have put together two possible ways we can do …
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Since we're making pretty great progress at including probability distributions, I thought I'd add a list of distributions we're missing that we might want to add to rival SciPy's list:
# Continuous …
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We can continue to parametrise these in terms of mean and cv for users, but it might be worth considering asking if they want to use a Weibull via a drop-down menu. This would mean reworking `los_gamm…