MNLogit
=======

.. currentmodule:: pymc_marketing.customer_choice.mnl_logit

.. autoclass:: MNLogit

   
   

   .. rubric:: Methods

   .. autosummary::
      :toctree: classmethods

   
      MNLogit.__init__
      MNLogit.apply_intervention
      MNLogit.attrs_to_init_kwargs
      MNLogit.build_from_idata
      MNLogit.build_model
      MNLogit.calculate_share_change
      MNLogit.create_fit_data
      MNLogit.create_idata_attrs
      MNLogit.fit
      MNLogit.graphviz
      MNLogit.load
      MNLogit.load_from_idata
      MNLogit.make_model
      MNLogit.parse_formula
      MNLogit.plot_change
      MNLogit.post_sample_model_transformation
      MNLogit.predict
      MNLogit.predict_posterior
      MNLogit.predict_proba
      MNLogit.prepare_X_matrix
      MNLogit.preprocess_model_data
      MNLogit.sample
      MNLogit.sample_posterior_predictive
      MNLogit.sample_prior_predictive
      MNLogit.save
      MNLogit.set_idata_attrs
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~MNLogit.X
      ~MNLogit.default_model_config
      ~MNLogit.default_sampler_config
      ~MNLogit.fit_result
      ~MNLogit.id
      ~MNLogit.output_var
      ~MNLogit.posterior
      ~MNLogit.posterior_predictive
      ~MNLogit.predictions
      ~MNLogit.prior
      ~MNLogit.prior_predictive
      ~MNLogit.version
      ~MNLogit.y