scikit-survival

This release adds sksurv.tree.SurvivalTree and sksurv.ensemble.RandomSurvivalForest, which are based on the log-rank split criterion. It also adds the OSQP solver as option to sksurv.svm.MinlipSurvivalAnalysis and sksurv.svm.HingeLossSurvivalSVM, which will replace the now deprecated cvxpy and cvxopt options in a future release.

This release removes support for sklearn 0.20 and requires sklearn 0.21.

• The cvxpy and cvxopt options for solver in sksurv.svm.MinlipSurvivalAnalysis and sksurv.svm.HingeLossSurvivalSVM are deprecated and will be removed in a future version. Choosing osqp is the preferred option now.

• Add support for pandas 0.25.
• Add OSQP solver option to sksurv.svm.MinlipSurvivalAnalysis, and sksurv.svm.HingeLossSurvivalSVM which has no additional dependencies.
• Fix issue when using cvxpy 1.0.16 or later.
• Explicitly specify utf-8 encoding when reading README.rst (#89).
• Add sksurv.tree.SurvivalTree and sksurv.ensemble.RandomSurvivalForest (#90).

• Exclude Cython-generated files from source distribution because they are not forward compatible.