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
1 maintainer
Metadata
1 maintainer
Release files for pycox 0.3.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pycox-0.3.0.tar.gz | 59.3 kB | Without provenance | Details for pycox-0.3.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pycox-0.3.0-py3-none-any.whl | Python 3 | none | any | Details for pycox-0.3.0-py3-none-any.whl |
Total release size: 133.0 kB
Release files / pycox-0.3.0.tar.gz
| Download URL | pycox-0.3.0.tar.gz |
|---|---|
| Size | 59.3 kB |
| Tags | Source |
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Release files / pycox-0.3.0-py3-none-any.whl
| Download URL | pycox-0.3.0-py3-none-any.whl |
|---|---|
| Size | 73.6 kB |
| Tags | Python 3 |
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