Skip to main content

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


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)

Uploaded Source

Built Distribution

drsa-0.0.1-py3-none-any.whl (9.0 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page