wtte-rnn
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ragulpr
WTTE-RNN a framework for churn and time to event prediction
Hello! Thank you for the materials! Please, can you help with advise? I am trying to solve churn prediction task. I have 12 timestamp (month) time-series for 500000 customers with...
great code thanks may you clarify : will it work for multivariate time series prediction both regression and classification 1 where all values are continues values weight height age target...
First of all I just want to say that your WTTE is really cool. Great blog post and paper. I've been using an adapted version of it for a time-to-event...
Hello, First of all, thanks for this great contribution. I've been trying to use it to solve churn issues, but I wanted to save so time and directly ask you:...
Is it possible to use WTTE-RNN when time is continuous or almost continuous? I have time scale as seconds and trying to predict next user session and not sure how...
great code thanks but what to do with multi variate time series when at each time point we have many observatoins when we have categorical and continues data for example...
I am frequent users of the WTTE-RNN and believe the idea of this structure fits very well, theoretically, the problems of survival analysis and Churn predictions. I have applied this...
This is a fix for both continuous and discrete Weibull log-likelihood issues #58 and #56
There seems to be an issue with log-likelihood for discrete Weibull distribution with censored data (u=0). According to equation (2.7) in Proposition 2.26 of your great thesis, the likelihood in...