scikit-survival

This release adds support for scikit-learn 1.1, which includes more informative error messages. Support for Python 3.7 has been dropped, and the minimum supported versions of dependencies are updated to

• numpy 1.17.3
• Pandas 1.0.5
• scikit-learn 1.1.0
• scipy 1.3.2

• Add n_iter_ attribute to all estimators in sksurv.svm (#277).
• Add return_array argument to all models providing predict_survival_function and predict_cumulative_hazard_function (#268).

• The loss_ attribute of ComponentwiseGradientBoostingSurvivalAnalysis and GradientBoostingSurvivalAnalysis has been deprecated.
• The default for the max_features argument has been changed from 'auto' to 'sqrt' for RandomSurvivalForest and ExtraSurvivalTrees. 'auto' and 'sqrt' have the same effect.

Full Changelog: https://github.com/sebp/scikit-survival/compare/v0.17.2...v0.18.0