ParetoNBDModel.fit#

ParetoNBDModel.fit(method='map', fit_method=None, **kwargs)[source]#

Infer posteriors of model parameters to run predictions.

Parameters:
methodstr

Method used to fit the model. Options are:

  • “map”: Posterior point estimates via Maximum a Posteriori (default).

  • “demz”: Full posterior distributions via DEMetropolisZ.

  • “mcmc”: Full posterior distributions via No U-Turn Sampler (NUTS). This can be very slow.

kwargsdict

Other keyword arguments passed to the underlying PyMC routines