CamDavidsonPilon/lifetimes v0.11.0 on GitHub

Move most models (all but Pareto) to autograd for automatic differentiation of their likelihood. This results in faster (at least 3x) and more successful convergence, plus allows for some really exciting extensions (coming soon).
GammaGammaFitter, BetaGeoFitter, ModifiedBetaGeoFitter and BetaGeoBetaBinomFitter have three new attributes: confidence_interval_, variance_matrix_ and standard_errors_
params_ on fitted models is not longer an OrderedDict, but a Pandas Series
GammaGammaFitter can accept a weights argument now.
customer_lifelime_value in GammaGamma now accepts a frequency argument.
fixed a bug that was causing ParetoNBDFitter to generate data incorrectly.