What’s new in 0.8

scikit-survival 0.8 (2019-05-01)

Enhancements

• Add sksurv.linear_model.CoxnetSurvivalAnalysis.predict_survival_function() and sksurv.linear_model.CoxnetSurvivalAnalysis.predict_cumulative_hazard_function() (#46).

• Add sksurv.nonparametric.SurvivalFunctionEstimator and sksurv.nonparametric.CensoringDistributionEstimator that wrap sksurv.nonparametric.kaplan_meier_estimator() and provide a predict_proba method for evaluating the estimated function on test data.

• Implement censoring-adjusted C-statistic proposed by Uno et al. (2011) in sksurv.metrics.concordance_index_ipcw().

• Add estimator of cumulative/dynamic AUC of Uno et al. (2007) in sksurv.metrics.cumulative_dynamic_auc().

• Add flchain dataset (see sksurv.datasets.load_flchain()).

Bug fixes

• The tied_time return value of sksurv.metrics.concordance_index_censored() now correctly reflects the number of comparable pairs that share the same time and that are used in computing the concordance index.

• Fix a bug in sksurv.metrics.concordance_index_censored() where a pair with risk estimates within tolerance was counted both as concordant and tied.