Release Notes

scikit-survival 0.3 (2017-08-01)

This release adds sksurv.linear_model.CoxPHSurvivalAnalysis.predict_survival_function() and sksurv.linear_model.CoxPHSurvivalAnalysis.predict_cumulative_hazard_function(), which return the survival function and cumulative hazard function using Breslow’s estimator. Moreover, it fixes a build error on Windows (gh #3) and adds the sksurv.preprocessing.OneHotEncoder class, which can be used in a scikit-learn pipeline.

scikit-survival 0.2 (2017-05-29)

This release adds support for Python 3.6, and pandas 0.19 and 0.20.

scikit-survival 0.1 (2016-12-29)

This is the initial release of scikit-survival. It combines the implementation of survival support vector machines with the code used in the Prostate Cancer DREAM challenge.