CounterfactualSweep

class pymc_marketing.mmm.marginal_effects.CounterfactualSweep(mmm, X, predictors, sweep_values, sweep_type='multiplicative')

CounterfactualSweep class is used to perform counterfactual analysis on MMM’s.

Methods

CounterfactualSweep.__init__(mmm, X, ...[, ...])	Initialize and run the counterfactual sweep.
CounterfactualSweep.compute_marginal_effects()	Compute marginal effects via finite differences from the sweep results.
CounterfactualSweep.create_intervention(...)	Apply the intervention to the predictors.
CounterfactualSweep.plot_marginal_effects([...])	Plot the marginal effects curve.
CounterfactualSweep.plot_uplift([hdi_prob, ax])	Plot the counterfactual uplift curve.
CounterfactualSweep.run_sweep()	Run the model's predict function over the sweep grid and store results.