Skip to main content

Survival analysis with PyTorch

Project description

pycox is a python package for survival analysis and time-to-event prediction with PyTorch. It is built on the torchtuples package for training PyTorch models.

Read the documentation at: https://github.com/havakv/pycox

The package contains

  • survival models: (Logistic-Hazard, DeepHit, DeepSurv, Cox-Time, MTLR, etc.)
  • evaluation criteria (concordance, Brier score, Binomial log-likelihood, etc.)
  • event-time datasets (SUPPORT, METABRIC, KKBox, etc)
  • simulation studies
  • illustrative examples

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pycox, version 0.2.2
Filename, size File type Python version Upload date Hashes
Filename, size pycox-0.2.2-py3-none-any.whl (73.7 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size pycox-0.2.2.tar.gz (57.7 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page