ParetoNBDModel
==============

.. currentmodule:: pymc_marketing.clv.models.pareto_nbd

.. autoclass:: ParetoNBDModel

   
   

   .. rubric:: Methods

   .. autosummary::
      :toctree:

   
      ParetoNBDModel.__init__
      ParetoNBDModel.build_model
      ParetoNBDModel.distribution_new_customer
      ParetoNBDModel.distribution_new_customer_dropout
      ParetoNBDModel.distribution_new_customer_purchase_rate
      ParetoNBDModel.distribution_new_customer_recency_frequency
      ParetoNBDModel.expected_probability_alive
      ParetoNBDModel.expected_purchase_probability
      ParetoNBDModel.expected_purchases
      ParetoNBDModel.expected_purchases_new_customer
      ParetoNBDModel.fit
      ParetoNBDModel.fit_summary
      ParetoNBDModel.get_params
      ParetoNBDModel.load
      ParetoNBDModel.predict
      ParetoNBDModel.predict_posterior
      ParetoNBDModel.predict_proba
      ParetoNBDModel.sample_posterior_predictive
      ParetoNBDModel.sample_prior_predictive
      ParetoNBDModel.save
      ParetoNBDModel.set_idata_attrs
      ParetoNBDModel.set_params
      ParetoNBDModel.thin_fit_result
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~ParetoNBDModel.X
      ~ParetoNBDModel.default_model_config
      ~ParetoNBDModel.default_sampler_config
      ~ParetoNBDModel.fit_result
      ~ParetoNBDModel.id
      ~ParetoNBDModel.output_var
      ~ParetoNBDModel.version
      ~ParetoNBDModel.y