cobsurv : Cobra Ensemble for Conditional Survival
Cobra Ensemble for Conditional Survival are algorithms, designed for survival prediction using proximity information. The k-NN survival, Random Survival Forest, Kernel Survival are some examples of Cobra Ensemble for Conditional Survival. While this package tends to provide those algorithms later, currently the package provides the following algorithms:
- COBRA Survival
For now other algorithms are taken from scikit-survival and np_survival to provide as a base learner for the ensemble algorithms.
installation
pip install cobsurv
The documentation is available at https://cobsurv.readthedocs.io/en/latest/
Citation
@misc{goswami2023areanorm,
title={Area-norm COBRA on Conditional Survival Prediction},
author={Rahul Goswami and Arabin Kr. Dey},
year={2023},
eprint={2309.00417},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
Metadata
Release files for cobsurv 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cobsurv-0.0.1.tar.gz | 16.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cobsurv-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.4 kB
Release files / cobsurv-0.0.1.tar.gz
| Download URL | cobsurv-0.0.1.tar.gz |
|---|---|
| Size | 16.8 kB |
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Release files / cobsurv-0.0.1-py3-none-any.whl
| Download URL | cobsurv-0.0.1-py3-none-any.whl |
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| Size | 16.6 kB |
| Tags | Python 3 |
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