GammaGammaModelIndividual ========================= .. currentmodule:: pymc_marketing.clv.models.gamma_gamma .. autoclass:: GammaGammaModelIndividual .. rubric:: Methods .. autosummary:: :toctree: classmethods GammaGammaModelIndividual.__init__ GammaGammaModelIndividual.attrs_to_init_kwargs GammaGammaModelIndividual.build_from_idata GammaGammaModelIndividual.build_model GammaGammaModelIndividual.create_fit_data GammaGammaModelIndividual.create_idata_attrs GammaGammaModelIndividual.distribution_customer_spend GammaGammaModelIndividual.distribution_new_customer_spend GammaGammaModelIndividual.expected_customer_lifetime_value GammaGammaModelIndividual.expected_customer_spend GammaGammaModelIndividual.expected_new_customer_spend GammaGammaModelIndividual.fit GammaGammaModelIndividual.fit_summary GammaGammaModelIndividual.graphviz GammaGammaModelIndividual.load GammaGammaModelIndividual.load_from_idata GammaGammaModelIndividual.post_sample_model_transformation GammaGammaModelIndividual.predict GammaGammaModelIndividual.predict_posterior GammaGammaModelIndividual.predict_proba GammaGammaModelIndividual.sample_posterior_predictive GammaGammaModelIndividual.sample_prior_predictive GammaGammaModelIndividual.save GammaGammaModelIndividual.set_idata_attrs GammaGammaModelIndividual.thin_fit_result .. rubric:: Attributes .. autosummary:: ~GammaGammaModelIndividual.X ~GammaGammaModelIndividual.default_model_config ~GammaGammaModelIndividual.default_sampler_config ~GammaGammaModelIndividual.fit_result ~GammaGammaModelIndividual.id ~GammaGammaModelIndividual.output_var ~GammaGammaModelIndividual.posterior ~GammaGammaModelIndividual.posterior_predictive ~GammaGammaModelIndividual.predictions ~GammaGammaModelIndividual.prior ~GammaGammaModelIndividual.prior_predictive ~GammaGammaModelIndividual.version ~GammaGammaModelIndividual.y