Metadata-Version: 2.1
Name: pycox
Version: 0.2.3
Summary: Survival analysis with PyTorch
Home-page: https://github.com/havakv/pycox
Author: Haavard Kvamme
Author-email: haavard.kvamme@gmail.com
License: BSD license
Keywords: pycox
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: torchtuples (>=0.2.0)
Requires-Dist: feather-format (>=0.4.0)
Requires-Dist: h5py (>=2.9.0)
Requires-Dist: numba (>=0.44)
Requires-Dist: scikit-learn (>=0.21.2)
Requires-Dist: requests (>=2.22.0)
Requires-Dist: py7zr (>=0.11.3)


**pycox** is a python package for survival analysis and time-to-event prediction with [PyTorch](https://pytorch.org/).
It is built on the [torchtuples](https://github.com/havakv/torchtuples) package for training [PyTorch](https://pytorch.org/) 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


