BaseMMM
=======

.. currentmodule:: pymc_marketing.mmm.base

.. autoclass:: BaseMMM

   
   

   .. rubric:: Methods

   .. autosummary::
      :toctree:

   
      BaseMMM.__init__
      BaseMMM.build_model
      BaseMMM.compute_channel_contribution_original_scale
      BaseMMM.compute_channel_curve_optimization_parameters_original_scale
      BaseMMM.compute_mean_contributions_over_time
      BaseMMM.fit
      BaseMMM.get_errors
      BaseMMM.get_params
      BaseMMM.get_target_transformer
      BaseMMM.graphviz
      BaseMMM.load
      BaseMMM.optimize_channel_budget_for_maximum_contribution
      BaseMMM.plot_budget_scenearios
      BaseMMM.plot_channel_contribution_share_hdi
      BaseMMM.plot_channel_parameter
      BaseMMM.plot_components_contributions
      BaseMMM.plot_direct_contribution_curves
      BaseMMM.plot_errors
      BaseMMM.plot_grouped_contribution_breakdown_over_time
      BaseMMM.plot_posterior_predictive
      BaseMMM.plot_prior_predictive
      BaseMMM.plot_waterfall_components_decomposition
      BaseMMM.predict
      BaseMMM.predict_posterior
      BaseMMM.predict_proba
      BaseMMM.preprocess
      BaseMMM.sample_posterior_predictive
      BaseMMM.sample_prior_predictive
      BaseMMM.save
      BaseMMM.set_idata_attrs
      BaseMMM.set_params
      BaseMMM.validate
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~BaseMMM.X
      ~BaseMMM.default_model_config
      ~BaseMMM.default_sampler_config
      ~BaseMMM.fit_result
      ~BaseMMM.id
      ~BaseMMM.methods
      ~BaseMMM.output_var
      ~BaseMMM.posterior_predictive
      ~BaseMMM.preprocessing_methods
      ~BaseMMM.prior
      ~BaseMMM.prior_predictive
      ~BaseMMM.validation_methods
      ~BaseMMM.version
      ~BaseMMM.y
      ~BaseMMM.model