lifelines 0.6.0.0

Lifelines 0.6.0

on Python PyPI

0.6.0

• Inclusion of the univariate fitters WeibullFitter and ExponentialFitter.
• Removing BayesianFitter from lifelines.
• Added new penalization scheme to AalenAdditiveFitter. You can now add a smoothing penalizer
  that will try to keep subsequent values of a hazard curve close together. The penalizing coefficient
  is smoothing_penalizer.
• Changed penalizer keyword arg to coef_penalizer in AalenAdditiveFitter.
• new ridge_regression function in utils.py to perform linear regression with l2 penalizer terms.
• Matplotlib is no longer a mandatory dependency.
• .predict(time) method on univariate fitters can now accept a scalar (and returns a scalar) and an iterable (and returns a numpy array)
• In KaplanMeierFitter, epsilon has been renamed to precision.