MMM
===

.. currentmodule:: pymc_marketing.mmm.mmm

.. autoclass:: MMM

   
   

   .. rubric:: Methods

   .. autosummary::
      :toctree: classmethods

   
      MMM.__init__
      MMM.add_lift_test_measurements
      MMM.attrs_to_init_kwargs
      MMM.build_from_idata
      MMM.build_model
      MMM.channel_contribution_forward_pass
      MMM.compute_channel_contribution_original_scale
      MMM.compute_mean_contributions_over_time
      MMM.create_fit_data
      MMM.create_idata_attrs
      MMM.fit
      MMM.format_recovered_transformation_parameters
      MMM.forward_pass
      MMM.get_channel_contribution_forward_pass_grid
      MMM.get_channel_contribution_share_samples
      MMM.get_errors
      MMM.get_target_transformer
      MMM.get_ts_contribution_posterior
      MMM.graphviz
      MMM.load
      MMM.load_from_idata
      MMM.max_abs_scale_channel_data
      MMM.max_abs_scale_target_data
      MMM.new_spend_contributions
      MMM.optimize_budget
      MMM.plot_allocated_contribution_by_channel
      MMM.plot_budget_allocation
      MMM.plot_channel_contribution_grid
      MMM.plot_channel_contribution_share_hdi
      MMM.plot_channel_parameter
      MMM.plot_components_contributions
      MMM.plot_direct_contribution_curves
      MMM.plot_errors
      MMM.plot_grouped_contribution_breakdown_over_time
      MMM.plot_new_spend_contributions
      MMM.plot_posterior_predictive
      MMM.plot_prior_predictive
      MMM.plot_prior_vs_posterior
      MMM.plot_waterfall_components_decomposition
      MMM.post_sample_model_transformation
      MMM.predict
      MMM.predict_posterior
      MMM.predict_proba
      MMM.preprocess
      MMM.sample_posterior_predictive
      MMM.sample_prior_predictive
      MMM.sample_response_distribution
      MMM.save
      MMM.set_idata_attrs
      MMM.validate
      MMM.validate_channel_columns
      MMM.validate_control_columns
      MMM.validate_date_col
      MMM.validate_target
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~MMM.X
      ~MMM.default_model_config
      ~MMM.default_sampler_config
      ~MMM.fit_result
      ~MMM.id
      ~MMM.methods
      ~MMM.output_var
      ~MMM.posterior
      ~MMM.posterior_predictive
      ~MMM.predictions
      ~MMM.preprocessing_methods
      ~MMM.prior
      ~MMM.prior_predictive
      ~MMM.validation_methods
      ~MMM.version
      ~MMM.y
      ~MMM.target_transformer
      ~MMM.channel_columns
      ~MMM.control_columns
      ~MMM.model
      ~MMM.date_column