lifelines 0.22.3

v0.22.3

on Python PyPI

0.22.3

New features

• model's now expose a log_likelihood_ property.
• new conditional_after argument on predict_* methods that make prediction on censored subjects easier.
• new lifelines.utils.safe_exp to make exp overflows easier to handle.
• smarter initial conditions for parametric regression models.
• New regression model: GeneralizedGammaRegressionFitter

API changes

• removed lifelines.utils.gamma - use autograd_gamma library instead.
• removed bottleneck as a dependency. It offered slight performance gains only in Cox models, and only a small fraction of the API was being used.

Bug fixes

• AFT log-likelihood ratio test was not using weights correctly.
• corrected (by bumping) scipy and autograd dependencies
• convergence is improved for most models, and many exp overflow warnings have been eliminated.
• Fixed an error in the predict_percentile of LogLogisticAFTFitter. New tests have been added around this.