lifelines 0.26.0 on Python PyPI

.BIC_ is now present on fitted models.
CoxPHFitter with spline baseline can accept pre-computed knot locations.
Left censoring fitting in KaplanMeierFitter is now "expected". That is, predict always predicts the survival function (as does every other model), confidence_interval_ is always the CI for the survival function (as does every other model), and so on. In summary: the API for estimates doesn't change depending on what your censoring your dataset is.

Fixed an annoying bug where at_risk-table label's were not aligning properly when data spanned large ranges. See merging PR for details.
Fixed a bug in find_best_parametric_model where the wrong BIC value was being computed.
Fixed regression bug when using an array as a penalizer in Cox models.