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

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

.. autoclass:: ParetoNBDModel

   
   

   .. rubric:: Methods

   .. autosummary::
      :toctree: classmethods

   
      ParetoNBDModel.__init__
      ParetoNBDModel.attrs_to_init_kwargs
      ParetoNBDModel.build_from_idata
      ParetoNBDModel.build_model
      ParetoNBDModel.create_idata_attrs
      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.graphviz
      ParetoNBDModel.idata_to_init_kwargs
      ParetoNBDModel.load
      ParetoNBDModel.load_from_idata
      ParetoNBDModel.save
      ParetoNBDModel.set_idata_attrs
      ParetoNBDModel.table
      ParetoNBDModel.thin_fit_result
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~ParetoNBDModel.default_model_config
      ~ParetoNBDModel.default_sampler_config
      ~ParetoNBDModel.fit_result
      ~ParetoNBDModel.id
      ~ParetoNBDModel.posterior
      ~ParetoNBDModel.posterior_predictive
      ~ParetoNBDModel.predictions
      ~ParetoNBDModel.prior
      ~ParetoNBDModel.prior_predictive
      ~ParetoNBDModel.version
      ~ParetoNBDModel.idata
      ~ParetoNBDModel.sampler_config
      ~ParetoNBDModel.model_config