A PyTorch implementation of an adapted Deep Recurrent Survival Analysis model.
Project description
Deep Recurrent Survival Analysis in PyTorch
This project features a PyTorch implementation of the Deep Recurrent Survival Analysis model that is intended for use on uncensored sequential data in which the event is known to occur at the last time step for each observation
Install
How to use
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
drsa-0.0.1.tar.gz
(10.4 kB
view hashes)
Built Distribution
drsa-0.0.1-py3-none-any.whl
(9.0 kB
view hashes)