Abstract
scikit-survival is an open-source Python package for time-to-event analysis fully
compatible with scikit-learn. It provides implementations of many popular machine
learning techniques for time-to-event analysis, including penalized Cox model,
Random Survival Forest, and Survival Support Vector Machine. In addition, the
library includes tools to evaluate model performance on censored time-to-event
data. The documentation contains installation instructions, interactive notebooks,
and a full description of the API. scikit-survival is distributed under the GPL-3
license with the source code and detailed instructions available at
https://github.com/sebp/scikit-survivalPublication
Journal of Machine Learning Research