What’s new in 0.6

scikit-survival 0.6 (2018-10-07)

This release adds support for numpy 1.14 and pandas up to 0.23. In addition, the new class sksurv.util.Surv makes it easier to construct a structured array from numpy arrays, lists, or a pandas data frame.

Changes:

• Support numpy 1.14 and pandas 0.22, 0.23 (#36).

• Enable support for cvxopt with Python 3.5+ on Windows (requires cvxopt >=1.1.9).

• Add max_iter parameter to sksurv.svm.MinlipSurvivalAnalysis and sksurv.svm.HingeLossSurvivalSVM.

• Fix score function of sksurv.svm.NaiveSurvivalSVM to use concordance index.

• sksurv.linear_model.CoxnetSurvivalAnalysis now throws an exception if coefficients get too large (#47).

• Add sksurv.util.Surv class to ease constructing a structured array (#26).