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scikit-survival -- Survival Analysis
Overview
scikit-survival is a Python library for time-to-event analysis built on scikit-learn. It handles right-censored data (observations where the event has not yet occurred) using Cox models, ensemble methods, survival SVMs, and non-parametric estimators. All models follow the scikit-learn fit/predict API and integrate with Pipelines, cross-validation, and GridSearchCV.
When to Use
Modeling time-to-event outcomes with right-censored data (
[Description truncada. Veja o README completo no GitHub.]
