Index _ | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z _ __init__() (mmm_framework.analysis.MarginalAnalysisResult method) (mmm_framework.analysis.MMMAnalyzer method) (mmm_framework.analysis.ScenarioResult method) (mmm_framework.builders.base.BuilderProtocol method) (mmm_framework.builders.mff.MFFColumnConfigBuilder method) (mmm_framework.builders.mff.MFFConfigBuilder method) (mmm_framework.builders.model.ControlSelectionConfigBuilder method) (mmm_framework.builders.model.DimensionAlignmentConfigBuilder method) (mmm_framework.builders.model.HierarchicalConfigBuilder method) (mmm_framework.builders.model.ModelConfigBuilder method) (mmm_framework.builders.model.SeasonalityConfigBuilder method) (mmm_framework.builders.model.TrendConfigBuilder method) (mmm_framework.builders.prior.AdstockConfigBuilder method) (mmm_framework.builders.prior.PriorConfigBuilder method) (mmm_framework.builders.prior.SaturationConfigBuilder method) (mmm_framework.builders.variable.ControlVariableConfigBuilder method) (mmm_framework.builders.variable.KPIConfigBuilder method) (mmm_framework.builders.variable.MediaChannelConfigBuilder method) (mmm_framework.calibration.likelihood.ExperimentMeasurement method) (mmm_framework.calibration.likelihood.ShareMeasurement method) (mmm_framework.config.SpecChange method) (mmm_framework.continuous_learning.acquisition.ThetaMap method) (mmm_framework.continuous_learning.dgp.TrueWorld method) (mmm_framework.continuous_learning.loop.LearningState method) (mmm_framework.continuous_learning.loop.WaveRecord method) (mmm_framework.continuous_learning.model.Posterior method) (mmm_framework.continuous_learning.planner.PlanResult method) (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) (mmm_framework.dag_model_builder.validation.DAGValidationError method) (mmm_framework.dag_model_builder.validation.ValidationResult method) (mmm_framework.data_loader.MFFLoader method) (mmm_framework.data_loader.PanelCoordinates method) (mmm_framework.data_loader.PanelDataset method) (mmm_framework.data_loader.RaggedMFFLoader method) (mmm_framework.data_preparation.DataPreparator method) (mmm_framework.data_preparation.PreparedData method) (mmm_framework.data_preparation.ScalingParameters method) (mmm_framework.datasets.ExampleSpec method) (mmm_framework.diagnostics.coverage.CoverageLevelStat method) (mmm_framework.diagnostics.coverage.RecoveryCoverageResult method) (mmm_framework.diagnostics.coverage.RecoveryTargetStat method) (mmm_framework.diagnostics.sbc.SBCParamStat method) (mmm_framework.diagnostics.sbc.SBCResult method) (mmm_framework.eda.DataValidationConfig method) (mmm_framework.eda.DataValidationReport method) (mmm_framework.eda.DataValidator method) (mmm_framework.eda.DecompositionResult method) (mmm_framework.eda.EDAConfig method) (mmm_framework.eda.EDAPanel method) (mmm_framework.eda.EDAReport method) (mmm_framework.eda.OutlierConfig method) (mmm_framework.eda.OutlierDetector method) (mmm_framework.eda.OutlierFlag method) (mmm_framework.eda.OutlierReport method) (mmm_framework.eda.RemediationAction method) (mmm_framework.eda.ValidationIssue method) (mmm_framework.estimands.evaluate.EstimandEvaluator method) (mmm_framework.estimands.spec.SupportsEstimands method) (mmm_framework.garden.contract.HasMediaMeta method) (mmm_framework.garden.contract.HasScaling method) (mmm_framework.garden.contract.SupportsFit method) (mmm_framework.jobs.Job method) (mmm_framework.jobs.JobConfig method) (mmm_framework.jobs.JobManager method) (mmm_framework.jobs.JobProgress method) (mmm_framework.jobs.JobResult method) (mmm_framework.mmm_extensions.builders.AdstockConfigBuilder method) (mmm_framework.mmm_extensions.builders.AggregatedSurveyConfigBuilder method) (mmm_framework.mmm_extensions.builders.CombinedModelConfigBuilder method) (mmm_framework.mmm_extensions.builders.CrossEffectConfigBuilder method) (mmm_framework.mmm_extensions.builders.EffectPriorConfigBuilder method) (mmm_framework.mmm_extensions.builders.HorseshoeConfigBuilder method) (mmm_framework.mmm_extensions.builders.LassoConfigBuilder method) (mmm_framework.mmm_extensions.builders.MediatorConfigBuilder method) (mmm_framework.mmm_extensions.builders.MediatorConfigBuilderExtended method) (mmm_framework.mmm_extensions.builders.MultivariateModelConfigBuilder method) (mmm_framework.mmm_extensions.builders.NestedModelConfigBuilder method) (mmm_framework.mmm_extensions.builders.OutcomeConfigBuilder method) (mmm_framework.mmm_extensions.builders.SaturationConfigBuilder method) (mmm_framework.mmm_extensions.builders.SpikeSlabConfigBuilder method) (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) (mmm_framework.mmm_extensions.builders_base.ExtensionBuilderProtocol method) (mmm_framework.mmm_extensions.components.ControlEffectResult method) (mmm_framework.mmm_extensions.components.cross_effects.CrossEffectSpec method) (mmm_framework.mmm_extensions.components.CrossEffectSpec method) (mmm_framework.mmm_extensions.components.EffectResult method) (mmm_framework.mmm_extensions.components.MediaTransformResult method) (mmm_framework.mmm_extensions.components.variable_selection.ControlEffectResult method) (mmm_framework.mmm_extensions.components.variable_selection.VariableSelectionResult method) (mmm_framework.mmm_extensions.components.VariableSelectionResult method) (mmm_framework.mmm_extensions.config.AdstockConfig method) (mmm_framework.mmm_extensions.config.AggregatedSurveyConfig method) (mmm_framework.mmm_extensions.config.CombinedModelConfig method) (mmm_framework.mmm_extensions.config.CrossEffectConfig method) (mmm_framework.mmm_extensions.config.EffectPriorConfig method) (mmm_framework.mmm_extensions.config.HorseshoeConfig method) (mmm_framework.mmm_extensions.config.LassoConfig method) (mmm_framework.mmm_extensions.config.LatentFactorSpec method) (mmm_framework.mmm_extensions.config.MediatorConfig method) (mmm_framework.mmm_extensions.config.MediatorConfigExtended method) (mmm_framework.mmm_extensions.config.MediatorMeasurement method) (mmm_framework.mmm_extensions.config.MediatorSpec method) (mmm_framework.mmm_extensions.config.MultivariateModelConfig method) (mmm_framework.mmm_extensions.config.NestedModelConfig method) (mmm_framework.mmm_extensions.config.OutcomeConfig method) (mmm_framework.mmm_extensions.config.SaturationConfig method) (mmm_framework.mmm_extensions.config.SpikeSlabConfig method) (mmm_framework.mmm_extensions.config.StructuralNestedConfig method) (mmm_framework.mmm_extensions.config.VariableSelectionConfig method) (mmm_framework.mmm_extensions.models.base.BaseExtendedMMM method) (mmm_framework.mmm_extensions.models.combined.CombinedMMM method) (mmm_framework.mmm_extensions.models.multivariate.MultivariateMMM method) (mmm_framework.mmm_extensions.models.nested.NestedMMM method) (mmm_framework.mmm_extensions.results.CrossEffectSummary method) (mmm_framework.mmm_extensions.results.EffectDecomposition method) (mmm_framework.mmm_extensions.results.MediationEffects method) (mmm_framework.mmm_extensions.results.ModelResults method) (mmm_framework.model.base.BayesianMMM method) (mmm_framework.model.components.trend.TrendStrategy method) (mmm_framework.model.results.ComponentDecomposition method) (mmm_framework.model.results.ContributionResults method) (mmm_framework.model.results.MMMResults method) (mmm_framework.model.results.PredictionResults method) (mmm_framework.model.trend_config.TrendConfig method) (mmm_framework.planning.evoi.EvoiResult method) (mmm_framework.planning.evoi.EvoiSurrogate method) (mmm_framework.planning.experiment_optimizer.CandidateEval method) (mmm_framework.planning.opportunity_cost.OpportunityCostResult method) (mmm_framework.planning.pacing.PacingChannel method) (mmm_framework.planning.pacing.PacingResult method) (mmm_framework.planning.priority.ChannelPriority method) (mmm_framework.planning.simulation.AAResult method) (mmm_framework.planning.simulation.ABResult method) (mmm_framework.planning.simulation.Assignment method) (mmm_framework.planning.simulation.EstimatorResult method) (mmm_framework.planning.simulation.LiftInjector method) (mmm_framework.planning.simulation.SimPanel method) (mmm_framework.planning.simulation.Window method) (mmm_framework.reporting.config.ChannelColors method) (mmm_framework.reporting.config.ChartConfig method) (mmm_framework.reporting.config.ColorScheme method) (mmm_framework.reporting.config.ReportConfig method) (mmm_framework.reporting.config.SectionConfig method) (mmm_framework.reporting.extractors.BayesianMMMExtractor method) (mmm_framework.reporting.extractors.ExtendedMMMExtractor method) (mmm_framework.reporting.extractors.FactorAnalysisExtractor method) (mmm_framework.reporting.extractors.HasModel method) (mmm_framework.reporting.extractors.HasTrace method) (mmm_framework.reporting.extractors.MMMDataBundle method) (mmm_framework.reporting.extractors.PyMCMarketingExtractor method) (mmm_framework.reporting.generator.MMMReportGenerator method) (mmm_framework.reporting.generator.ReportBuilder method) (mmm_framework.reporting.sections.Section method) (mmm_framework.synth.dgp.Scenario method) (mmm_framework.synth.dgp_geo.GeoScenario method) (mmm_framework.utils.standardization.DataStandardizer method) (mmm_framework.utils.standardization.StandardizationParams method) (mmm_framework.validation.backtest.BacktestConfig method) (mmm_framework.validation.backtest.BacktestResult method) (mmm_framework.validation.backtest.ForecastUnsupportedError method) (mmm_framework.validation.backtest.PosteriorForecaster method) (mmm_framework.validation.backtest.TrendExtrapolation method) (mmm_framework.validation.calibration.LooPitResult method) (mmm_framework.validation.calibration.SBCResult method) (mmm_framework.validation.channel_diagnostics.ChannelDiagnostics method) (mmm_framework.validation.spec_curve.SpecCurveResult method) (mmm_framework.validation.spec_curve.SpecFit method) A a_level (mmm_framework.continuous_learning.dgp.TrueWorld attribute) AAResult (class in mmm_framework.planning.simulation) ABResult (class in mmm_framework.planning.simulation) abs_spend_change (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) accent (mmm_framework.reporting.config.ColorScheme attribute) accent_dark (mmm_framework.reporting.config.ColorScheme attribute) act_fn() (mmm_framework.continuous_learning.dgp.TrueWorld method) action_id (mmm_framework.eda.RemediationAction attribute) actions (mmm_framework.eda.OutlierReport attribute) activation (mmm_framework.continuous_learning.acquisition.ThetaMap attribute) (mmm_framework.continuous_learning.dgp.TrueWorld attribute) (mmm_framework.continuous_learning.loop.LearningState attribute) (mmm_framework.continuous_learning.model.Posterior attribute) activation() (in module mmm_framework.continuous_learning.surface) actual (mmm_framework.planning.pacing.PacingChannel attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) actual_by_geo (mmm_framework.reporting.extractors.MMMDataBundle attribute) actual_by_product (mmm_framework.reporting.extractors.MMMDataBundle attribute) actual_series (mmm_framework.planning.pacing.PacingChannel attribute) actual_total (mmm_framework.planning.pacing.PacingResult attribute) adaptive (mmm_framework.mmm_extensions.config.LassoConfig attribute) adaptive() (mmm_framework.mmm_extensions.builders.LassoConfigBuilder method) add_artifact() (in module mmm_framework.platform.sessions) add_control() (mmm_framework.builders.mff.MFFConfigBuilder method) add_control_builder() (mmm_framework.builders.mff.MFFConfigBuilder method) add_controls() (mmm_framework.builders.mff.MFFConfigBuilder method) add_cross_effect() (mmm_framework.mmm_extensions.builders.CombinedModelConfigBuilder method) (mmm_framework.mmm_extensions.builders.MultivariateModelConfigBuilder method) add_distribution_control() (mmm_framework.builders.mff.MFFConfigBuilder method) add_experiment_calibration() (mmm_framework.mmm_extensions.models.base.BaseExtendedMMM method) (mmm_framework.model.base.BayesianMMM method) add_kb_chunks() (in module mmm_framework.platform.sessions) add_kb_document() (in module mmm_framework.platform.sessions) add_learning_wave() (in module mmm_framework.platform.sessions) add_media() (mmm_framework.builders.mff.MFFConfigBuilder method) add_media_builder() (mmm_framework.builders.mff.MFFConfigBuilder method) add_media_channels() (mmm_framework.builders.mff.MFFConfigBuilder method) add_mediator() (mmm_framework.mmm_extensions.builders.CombinedModelConfigBuilder method) (mmm_framework.mmm_extensions.builders.NestedModelConfigBuilder method) add_national_media() (mmm_framework.builders.mff.MFFConfigBuilder method) add_outcome() (mmm_framework.mmm_extensions.builders.CombinedModelConfigBuilder method) (mmm_framework.mmm_extensions.builders.MultivariateModelConfigBuilder method) add_price_control() (mmm_framework.builders.mff.MFFConfigBuilder method) add_section() (mmm_framework.reporting.generator.MMMReportGenerator method) add_social_platforms() (mmm_framework.builders.mff.MFFConfigBuilder method) ADDITIVE (mmm_framework.config.ModelSpecification attribute) additive() (mmm_framework.builders.model.ModelConfigBuilder method) (mmm_framework.builders.variable.KPIConfigBuilder method) adstock (mmm_framework.config.MediaChannelConfig attribute) (mmm_framework.mmm_extensions.config.MediatorConfig attribute) (mmm_framework.validation.spec_curve.SpecVariant attribute) adstock_alpha_prior_alpha (mmm_framework.dag_model_builder.node_configs.MediaNodeConfig attribute) adstock_alpha_prior_beta (mmm_framework.dag_model_builder.node_configs.MediaNodeConfig attribute) adstock_curves (mmm_framework.reporting.extractors.MMMDataBundle attribute) adstock_enabled (mmm_framework.mmm_extensions.config.MediatorSpec property) adstock_half_life() (in module mmm_framework.continuous_learning.loop) adstock_lmax (mmm_framework.config.PromoConfig attribute) (mmm_framework.dag_model_builder.node_configs.MediaNodeConfig attribute) adstock_normalize (mmm_framework.dag_model_builder.node_configs.MediaNodeConfig attribute) adstock_params (mmm_framework.mmm_extensions.components.MediaTransformResult attribute) adstock_state (mmm_framework.calibration.likelihood.ExperimentMeasurement attribute) adstock_type (mmm_framework.dag_model_builder.node_configs.MediaNodeConfig attribute) adstock_weights() (in module mmm_framework.transforms.adstock) adstock_weights_pt() (in module mmm_framework.mmm_extensions.components.transforms) AdstockBuilderMixin (class in mmm_framework.mmm_extensions.builders_base) AdstockConfig (class in mmm_framework.config) (class in mmm_framework.mmm_extensions.config) AdstockConfigBuilder (class in mmm_framework.builders.prior) (class in mmm_framework.mmm_extensions.builders) AdstockType (class in mmm_framework.config) ADVI (mmm_framework.config.FitMethod attribute) advi() (mmm_framework.builders.model.ModelConfigBuilder method) affected (mmm_framework.eda.ValidationIssue attribute) affects_outcome (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.mmm_extensions.config.LatentFactorSpec attribute) (mmm_framework.mmm_extensions.config.MediatorSpec attribute) aggregate_by_last() (mmm_framework.mmm_extensions.builders.AggregatedSurveyConfigBuilder method) aggregate_by_mean() (mmm_framework.mmm_extensions.builders.AggregatedSurveyConfigBuilder method) AGGREGATED_SURVEY (mmm_framework.mmm_extensions.config.MediatorObservationType attribute) (mmm_framework.mmm_extensions.config.MediatorType attribute) aggregated_survey() (mmm_framework.mmm_extensions.builders.MediatorConfigBuilder method) (mmm_framework.mmm_extensions.builders.MediatorConfigBuilderExtended method) aggregated_survey_config (mmm_framework.mmm_extensions.config.MediatorConfigExtended attribute) AggregatedSurveyConfig (class in mmm_framework.mmm_extensions.config) AggregatedSurveyConfigBuilder (class in mmm_framework.mmm_extensions.builders) AggregatedSurveyLikelihood (class in mmm_framework.mmm_extensions.config) aggregation_function (mmm_framework.mmm_extensions.config.AggregatedSurveyConfig attribute) aggregation_map (mmm_framework.mmm_extensions.config.AggregatedSurveyConfig attribute) AggregationMixin (class in mmm_framework.reporting.extractors) alignment (mmm_framework.config.MFFConfig attribute) all_builtins() (in module mmm_framework.estimands.registry) all_calibrated (mmm_framework.diagnostics.sbc.SBCResult property) (mmm_framework.validation.calibration.SBCResult property) ALL_CHANNELS (in module mmm_framework.estimands.spec) all_columns (mmm_framework.config.MFFColumnConfig property) all_dimensions (mmm_framework.config.MediaChannelConfig property) all_nominal (mmm_framework.diagnostics.coverage.RecoveryCoverageResult property) all_variables (mmm_framework.config.MFFConfig property) alloc_sd (mmm_framework.continuous_learning.planner.PlanResult attribute) allocate_under_sample() (in module mmm_framework.continuous_learning.planner) allocation (mmm_framework.reporting.config.ReportConfig attribute) allocation_results (mmm_framework.reporting.extractors.MMMDataBundle attribute) AllocationMethod (class in mmm_framework.config) AllocationSection (class in mmm_framework.reporting.sections) allocs (mmm_framework.continuous_learning.planner.PlanResult attribute) allow_direct_effect (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.mmm_extensions.config.MediatorConfig attribute) (mmm_framework.mmm_extensions.config.MediatorConfigExtended attribute) (mmm_framework.mmm_extensions.config.MediatorSpec attribute) allow_negative (mmm_framework.config.ControlVariableConfig attribute) (mmm_framework.config.PromoConfig attribute) (mmm_framework.dag_model_builder.node_configs.ControlNodeConfig attribute) allow_negative() (mmm_framework.builders.variable.ControlVariableConfigBuilder method) alpha (mmm_framework.continuous_learning.dgp.TrueWorld attribute) (mmm_framework.diagnostics.sbc.SBCResult attribute) alpha_prior (mmm_framework.config.AdstockConfig attribute) always_active() (mmm_framework.mmm_extensions.builders.CrossEffectConfigBuilder method) analysis_period (mmm_framework.reporting.config.ReportConfig attribute) anchor (mmm_framework.mmm_extensions.config.LatentFactorSpec attribute) anchor_kappa_to_data (mmm_framework.config.SaturationConfig attribute) animation (mmm_framework.reporting.config.ChartConfig attribute) answer_key() (mmm_framework.continuous_learning.dgp.TrueWorld method) append_experiment_event() (in module mmm_framework.platform.sessions) apply_adstock (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.mmm_extensions.config.MediatorConfig attribute) (mmm_framework.mmm_extensions.config.MediatorConfigExtended attribute) (mmm_framework.mmm_extensions.config.MediatorSpec attribute) apply_adstock() (in module mmm_framework.transforms.adstock) apply_adstock_pt() (in module mmm_framework.mmm_extensions.components.transforms) apply_only_to() (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) apply_saturation (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.mmm_extensions.config.MediatorConfig attribute) (mmm_framework.mmm_extensions.config.MediatorConfigExtended attribute) apply_transformation_pipeline() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.mmm_extensions.components.transforms) apply_treatments() (in module mmm_framework.eda) apply_variant() (in module mmm_framework.validation.spec_curve) approximate (mmm_framework.mmm_extensions.results.ModelResults property) (mmm_framework.model.results.MMMResults attribute) AR1 (mmm_framework.mmm_extensions.config.MediatorDynamics attribute) ar1_decay_matrix() (in module mmm_framework.mmm_extensions.components) ar1_design_effect() (in module mmm_framework.planning.identification) as_dataset() (mmm_framework.data_loader.PanelDataset method) as_tuple() (mmm_framework.estimands.spec.TimeWindow method) assign_geos() (in module mmm_framework.continuous_learning.design) Assignment (class in mmm_framework.planning.simulation) ASYMMETRIC (mmm_framework.mmm_extensions.config.CrossEffectType attribute) asymmetric() (mmm_framework.mmm_extensions.builders.CrossEffectConfigBuilder method) attach_experiment_likelihood() (in module mmm_framework.calibration.likelihood) attach_prior() (in module mmm_framework.utils.arviz_compat) attach_share_likelihood() (in module mmm_framework.calibration.likelihood) AUGUR (mmm_framework.reporting.config.ColorPalette attribute) augur_readout() (mmm_framework.reporting.config.ReportConfig class method) (mmm_framework.reporting.generator.ReportBuilder method) AUXILIARY (mmm_framework.config.DatasetRole attribute) (mmm_framework.config.VariableRole attribute) awareness_mediator() (in module mmm_framework.mmm_extensions.builders) B B (mmm_framework.continuous_learning.loop.LearningState attribute) (mmm_framework.continuous_learning.planner.PlanResult attribute) backfill_estimands() (in module mmm_framework.platform.backfill) backfill_evidence() (in module mmm_framework.platform.backfill) backfill_run_metrics() (in module mmm_framework.platform.backfill) background (mmm_framework.reporting.config.ColorScheme attribute) background_alt (mmm_framework.reporting.config.ColorScheme attribute) BacktestConfig (class in mmm_framework.validation.backtest) BacktestResult (class in mmm_framework.validation.backtest) backup_db() (in module mmm_framework.platform.backup) BaseExtendedMMM (class in mmm_framework.mmm_extensions.models.base) baseline (mmm_framework.estimands.spec.Contrast attribute) baseline_outcome (mmm_framework.analysis.ScenarioResult attribute) baseline_prediction (mmm_framework.analysis.ScenarioResult attribute) (mmm_framework.model.results.ContributionResults attribute) BaseTrendStrategy (class in mmm_framework.model.components.trend) BAYESIAN_LASSO (mmm_framework.mmm_extensions.config.VariableSelectionMethod attribute) bayesian_lasso() (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) BAYESIAN_MMM (mmm_framework.dag_model_builder.model_type_resolver.ModelType attribute) BAYESIAN_NUMPYRO (mmm_framework.config.InferenceMethod attribute) bayesian_numpyro() (mmm_framework.builders.model.ModelConfigBuilder method) (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) BAYESIAN_NUTPIE (mmm_framework.config.InferenceMethod attribute) bayesian_nutpie() (mmm_framework.builders.model.ModelConfigBuilder method) (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) BAYESIAN_PYMC (mmm_framework.config.InferenceMethod attribute) bayesian_pymc() (mmm_framework.builders.model.ModelConfigBuilder method) (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) BayesianMMM (class in mmm_framework.model.base) BayesianMMMExtractor (class in mmm_framework.reporting.extractors) BETA (mmm_framework.config.LikelihoodFamily attribute) (mmm_framework.config.PriorType attribute) beta (mmm_framework.continuous_learning.dgp.TrueWorld attribute) (mmm_framework.mmm_extensions.components.variable_selection.VariableSelectionResult attribute) (mmm_framework.mmm_extensions.components.VariableSelectionResult attribute) beta() (mmm_framework.builders.prior.PriorConfigBuilder method) (mmm_framework.config.PriorConfig class method) BETA_BINOMIAL (mmm_framework.config.LikelihoodFamily attribute) (mmm_framework.mmm_extensions.config.AggregatedSurveyLikelihood attribute) beta_binomial() (mmm_framework.mmm_extensions.builders.AggregatedSurveyConfigBuilder method) beta_fixed (mmm_framework.mmm_extensions.components.ControlEffectResult attribute) (mmm_framework.mmm_extensions.components.variable_selection.ControlEffectResult attribute) beta_prior (mmm_framework.config.SaturationConfig attribute) beta_scale (mmm_framework.continuous_learning.loop.LearningState attribute) beta_selected (mmm_framework.mmm_extensions.components.ControlEffectResult attribute) (mmm_framework.mmm_extensions.components.variable_selection.ControlEffectResult attribute) bias_z (mmm_framework.diagnostics.coverage.RecoveryTargetStat attribute) (mmm_framework.diagnostics.sbc.SBCParamStat attribute) bin_counts (mmm_framework.diagnostics.sbc.SBCParamStat attribute) binary_survey_mediator() (in module mmm_framework.mmm_extensions.builders) binding() (mmm_framework.config.DatasetSchema method) bindings (mmm_framework.config.DatasetSchema attribute) BINOMIAL (mmm_framework.config.LikelihoodFamily attribute) (mmm_framework.mmm_extensions.config.AggregatedSurveyLikelihood attribute) (mmm_framework.mmm_extensions.config.MediatorLikelihood attribute) binomial() (mmm_framework.config.LikelihoodConfig class method) (mmm_framework.mmm_extensions.builders.AggregatedSurveyConfigBuilder method) blended_roi (mmm_framework.reporting.extractors.MMMDataBundle attribute) block_weeks (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) BLOCKING_TIERS (in module mmm_framework.garden.compat) bma (mmm_framework.validation.spec_curve.SpecCurveResult attribute) bootstrap_samples (mmm_framework.config.ModelConfig attribute) border (mmm_framework.reporting.config.ColorScheme attribute) breakouts (mmm_framework.calibration.likelihood.ShareMeasurement attribute) build() (in module mmm_framework.synth.dgp) (in module mmm_framework.synth.dgp_geo) (mmm_framework.builders.base.BuilderProtocol method) (mmm_framework.builders.mff.MFFColumnConfigBuilder method) (mmm_framework.builders.mff.MFFConfigBuilder method) (mmm_framework.builders.model.ControlSelectionConfigBuilder method) (mmm_framework.builders.model.DimensionAlignmentConfigBuilder method) (mmm_framework.builders.model.HierarchicalConfigBuilder method) (mmm_framework.builders.model.ModelConfigBuilder method) (mmm_framework.builders.model.SeasonalityConfigBuilder method) (mmm_framework.builders.model.TrendConfigBuilder method) (mmm_framework.builders.prior.AdstockConfigBuilder method) (mmm_framework.builders.prior.PriorConfigBuilder method) (mmm_framework.builders.prior.SaturationConfigBuilder method) (mmm_framework.builders.variable.ControlVariableConfigBuilder method) (mmm_framework.builders.variable.KPIConfigBuilder method) (mmm_framework.builders.variable.MediaChannelConfigBuilder method) (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) (mmm_framework.mmm_extensions.builders.AdstockConfigBuilder method) (mmm_framework.mmm_extensions.builders.AggregatedSurveyConfigBuilder method) (mmm_framework.mmm_extensions.builders.CombinedModelConfigBuilder method) (mmm_framework.mmm_extensions.builders.CrossEffectConfigBuilder method) (mmm_framework.mmm_extensions.builders.EffectPriorConfigBuilder method) (mmm_framework.mmm_extensions.builders.HorseshoeConfigBuilder method) (mmm_framework.mmm_extensions.builders.LassoConfigBuilder method) (mmm_framework.mmm_extensions.builders.MediatorConfigBuilder method) (mmm_framework.mmm_extensions.builders.MediatorConfigBuilderExtended method) (mmm_framework.mmm_extensions.builders.MultivariateModelConfigBuilder method) (mmm_framework.mmm_extensions.builders.NestedModelConfigBuilder method) (mmm_framework.mmm_extensions.builders.OutcomeConfigBuilder method) (mmm_framework.mmm_extensions.builders.SaturationConfigBuilder method) (mmm_framework.mmm_extensions.builders.SpikeSlabConfigBuilder method) (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) (mmm_framework.mmm_extensions.builders_base.ExtensionBuilderProtocol method) (mmm_framework.model.components.trend.BaseTrendStrategy method) (mmm_framework.model.components.trend.GPTrendStrategy method) (mmm_framework.model.components.trend.LinearTrendStrategy method) (mmm_framework.model.components.trend.PiecewiseTrendStrategy method) (mmm_framework.model.components.trend.SplineTrendStrategy method) (mmm_framework.model.components.trend.TrendBuilder class method) (mmm_framework.model.components.trend.TrendStrategy method) (mmm_framework.reporting.generator.ReportBuilder method) build_aggregated_survey_observation() (in module mmm_framework.mmm_extensions.components) build_binomial_state_measurement() (in module mmm_framework.mmm_extensions.components) build_calibration_coverage() (in module mmm_framework.platform.history) build_complete_index() (in module mmm_framework.data_loader) build_control_effects_with_selection() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.mmm_extensions.components.variable_selection) build_cross_effect_matrix() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.mmm_extensions.components.cross_effects) build_estimand_expr() (in module mmm_framework.calibration.likelihood) (in module mmm_framework.estimands.graph) build_experiment_media() (in module mmm_framework.planning.opportunity_cost) build_gaussian_likelihood() (in module mmm_framework.mmm_extensions.components) build_gaussian_state_measurement() (in module mmm_framework.mmm_extensions.components) build_geo_assignment() (in module mmm_framework.planning.simulation) build_history_series() (in module mmm_framework.platform.history) build_latent_state() (in module mmm_framework.mmm_extensions.components) build_linear_effect() (in module mmm_framework.mmm_extensions.components) build_media_transforms() (in module mmm_framework.mmm_extensions.components) build_mediator_observation_dispatch() (in module mmm_framework.mmm_extensions.components) build_mff_config() (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) build_multivariate_likelihood() (in module mmm_framework.mmm_extensions.components) build_national_assignment() (in module mmm_framework.planning.simulation) build_ordered_state_measurement() (in module mmm_framework.mmm_extensions.components) build_panel() (mmm_framework.data_loader.MFFLoader method) (mmm_framework.data_loader.RaggedMFFLoader method) build_partial_observation_model() (in module mmm_framework.mmm_extensions.components) build_priorities_payload() (in module mmm_framework.platform.history) build_project_estimands() (in module mmm_framework.platform.estimands) build_project_pacing() (in module mmm_framework.platform.pacing) build_project_scorecard() (in module mmm_framework.platform.scorecard) build_project_triangulation() (in module mmm_framework.platform.triangulation) build_recovery_result() (in module mmm_framework.diagnostics.coverage) build_run_timeline() (in module mmm_framework.platform.runs) build_sbc_result() (in module mmm_framework.diagnostics.sbc) build_sim_panel() (in module mmm_framework.planning.simulation) BuilderProtocol (class in mmm_framework.builders.base) BUILTINS (in module mmm_framework.estimands.registry) by_geo() (mmm_framework.builders.base.VariableConfigBuilderMixin method) by_geo_and_product() (mmm_framework.builders.base.VariableConfigBuilderMixin method) by_horizon() (mmm_framework.validation.backtest.BacktestResult method) by_origin() (mmm_framework.validation.backtest.BacktestResult method) by_product() (mmm_framework.builders.base.VariableConfigBuilderMixin method) by_severity() (mmm_framework.eda.DataValidationReport method) C calibrated (mmm_framework.diagnostics.sbc.SBCParamStat attribute) (mmm_framework.validation.calibration.LooPitResult attribute) (mmm_framework.validation.calibration.SBCResult attribute) CAMPAIGN (mmm_framework.config.DimensionType attribute) campaign (mmm_framework.config.MFFColumnConfig attribute) cancel_job() (mmm_framework.jobs.JobManager method) CANCELLED (mmm_framework.jobs.JobStatus attribute) CandidateEval (class in mmm_framework.planning.experiment_optimizer) CANNIBALIZATION (mmm_framework.mmm_extensions.config.CrossEffectType attribute) cannibalization (mmm_framework.reporting.config.ReportConfig attribute) cannibalization() (mmm_framework.mmm_extensions.builders.CrossEffectConfigBuilder method) cannibalization_effect() (in module mmm_framework.mmm_extensions.builders) cannibalization_matrix (mmm_framework.reporting.extractors.MMMDataBundle attribute) CannibalizationSection (class in mmm_framework.reporting.sections) cap (mmm_framework.continuous_learning.loop.LearningState attribute) carryover (mmm_framework.reporting.config.ReportConfig attribute) carryover_basis (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) carryover_state (mmm_framework.estimands.spec.SetInput attribute) category_variables (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) causal_assumptions (mmm_framework.estimands.spec.Estimand attribute) (mmm_framework.reporting.config.ReportConfig attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) causal_role (mmm_framework.config.ControlVariableConfig attribute) causal_role_reason (mmm_framework.config.ControlVariableConfig attribute) CausalAssumptionsSection (class in mmm_framework.reporting.sections) CausalControlRole (class in mmm_framework.config) caveats (mmm_framework.diagnostics.coverage.RecoveryCoverageResult attribute) (mmm_framework.diagnostics.sbc.SBCResult attribute) cells (mmm_framework.synth.dgp_geo.GeoScenario property) center (mmm_framework.continuous_learning.loop.LearningState attribute) central_composite() (in module mmm_framework.continuous_learning.design) cfa_fit_indices (mmm_framework.reporting.extractors.MMMDataBundle attribute) cfo (mmm_framework.reporting.config.ReportConfig attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) CFOSection (class in mmm_framework.reporting.sections) chains (mmm_framework.validation.backtest.BacktestConfig attribute) changepoint_detection() (mmm_framework.builders.model.TrendConfigBuilder method) changepoint_prior_scale (mmm_framework.model.trend_config.TrendConfig attribute), [1] changepoint_range (mmm_framework.model.trend_config.TrendConfig attribute), [1] channel (mmm_framework.analysis.MarginalAnalysisResult attribute) (mmm_framework.calibration.likelihood.ExperimentMeasurement attribute) (mmm_framework.calibration.likelihood.ShareMeasurement attribute) (mmm_framework.config.ReachFrequencyConfig attribute) (mmm_framework.mmm_extensions.results.EffectDecomposition attribute) (mmm_framework.mmm_extensions.results.MediationEffects attribute) (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) (mmm_framework.planning.pacing.PacingChannel attribute) (mmm_framework.planning.priority.ChannelPriority attribute) channel_a (mmm_framework.config.ChannelInteraction attribute) channel_b (mmm_framework.config.ChannelInteraction attribute) channel_colors (mmm_framework.reporting.config.ReportConfig attribute) channel_contribution (mmm_framework.reporting.extractors.MMMDataBundle attribute) channel_contributions (mmm_framework.model.results.ContributionResults attribute) (mmm_framework.model.results.MMMResults attribute) channel_evidence (mmm_framework.reporting.extractors.MMMDataBundle attribute) channel_half_life() (in module mmm_framework.planning.eig) channel_interactions (mmm_framework.config.ModelConfig attribute) channel_names (mmm_framework.analysis.MMMAnalyzer property) (mmm_framework.data_preparation.PreparedData attribute) (mmm_framework.estimands.spec.SupportsEstimands attribute) (mmm_framework.garden.contract.HasMediaMeta attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) channel_roi (mmm_framework.reporting.config.ReportConfig attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) channel_roi_draws() (in module mmm_framework.validation.spec_curve) channel_spend (mmm_framework.reporting.extractors.MMMDataBundle attribute) ChannelColors (class in mmm_framework.reporting.config) ChannelConvergenceChecker (class in mmm_framework.validation.channel_diagnostics) ChannelDiagnostics (class in mmm_framework.validation.channel_diagnostics) ChannelInteraction (class in mmm_framework.config) ChannelPriority (class in mmm_framework.planning.priority) ChannelROISection (class in mmm_framework.reporting.sections) channels (mmm_framework.continuous_learning.acquisition.ThetaMap attribute) (mmm_framework.continuous_learning.dgp.TrueWorld attribute) (mmm_framework.continuous_learning.loop.LearningState attribute) (mmm_framework.continuous_learning.model.Posterior attribute) (mmm_framework.continuous_learning.planner.PlanResult attribute) (mmm_framework.data_loader.PanelCoordinates attribute) (mmm_framework.mmm_extensions.config.MediatorSpec attribute) (mmm_framework.planning.pacing.PacingResult attribute) (mmm_framework.synth.dgp.Scenario property) (mmm_framework.synth.dgp_geo.GeoScenario property) (mmm_framework.validation.spec_curve.SpecCurveResult attribute) chart_height (mmm_framework.reporting.config.SectionConfig attribute) chart_width (mmm_framework.reporting.config.SectionConfig attribute) ChartConfig (class in mmm_framework.reporting.config) check (mmm_framework.eda.ValidationIssue attribute) check() (mmm_framework.validation.channel_diagnostics.ChannelConvergenceChecker method) check_constant_series() (mmm_framework.eda.DataValidator method) check_date_gaps() (mmm_framework.eda.DataValidator method) check_duplicate_rows() (mmm_framework.eda.DataValidator method) check_missingness() (mmm_framework.eda.DataValidator method) check_negative_spend() (mmm_framework.eda.DataValidator method) check_panel_consistency() (mmm_framework.eda.DataValidator method) check_scale_pathology() (mmm_framework.eda.DataValidator method) check_short_history() (mmm_framework.eda.DataValidator method) check_zero_inflation() (mmm_framework.eda.DataValidator method) chi2_pvalue (mmm_framework.diagnostics.sbc.SBCParamStat attribute) chi2_stat (mmm_framework.diagnostics.sbc.SBCParamStat attribute) chosen_delta (mmm_framework.continuous_learning.loop.WaveRecord attribute) ci_alpha (mmm_framework.reporting.config.ChartConfig attribute) ci_high (mmm_framework.diagnostics.coverage.CoverageLevelStat attribute) ci_level (mmm_framework.reporting.config.ChartConfig attribute) ci_low (mmm_framework.diagnostics.coverage.CoverageLevelStat attribute) ci_prob (mmm_framework.reporting.extractors.BayesianMMMExtractor property) (mmm_framework.reporting.extractors.DataExtractor property) (mmm_framework.reporting.extractors.ExtendedMMMExtractor property) (mmm_framework.reporting.extractors.PyMCMarketingExtractor property) classify_evidence() (in module mmm_framework.platform.estimands) classify_shape() (in module mmm_framework.diagnostics.sbc) cleanup_old_jobs() (mmm_framework.jobs.JobManager method) clear_exclusions() (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) CLICKS (mmm_framework.config.MeasurementUnit attribute) client (mmm_framework.reporting.config.ReportConfig attribute) client_report() (mmm_framework.reporting.generator.ReportBuilder method) clv_to_cac() (in module mmm_framework.ltv) cmo_insights (mmm_framework.reporting.config.ReportConfig attribute) coefficient_prior (mmm_framework.config.ControlVariableConfig attribute) (mmm_framework.config.MediaChannelConfig attribute) coefficient_prior_mu (mmm_framework.dag_model_builder.node_configs.ControlNodeConfig attribute) coefficient_prior_sigma (mmm_framework.dag_model_builder.node_configs.ControlNodeConfig attribute) (mmm_framework.dag_model_builder.node_configs.MediaNodeConfig attribute) coefficients (mmm_framework.mmm_extensions.components.EffectResult attribute) coerce_numeric_column() (in module mmm_framework.data_loader) COLLIDER (mmm_framework.config.CausalControlRole attribute) collinearity_analysis() (in module mmm_framework.eda) color_scheme (mmm_framework.reporting.config.ReportConfig attribute) ColorPalette (class in mmm_framework.reporting.config) colors (mmm_framework.reporting.config.ChannelColors attribute) ColorScheme (class in mmm_framework.reporting.config) column (mmm_framework.mmm_extensions.config.OutcomeConfig attribute) columns (mmm_framework.config.MFFConfig attribute) COMBINED_MMM (mmm_framework.dag_model_builder.model_type_resolver.ModelType attribute) CombinedMMM (class in mmm_framework.mmm_extensions.models.combined) CombinedModelConfig (class in mmm_framework.mmm_extensions.config) CombinedModelConfigBuilder (class in mmm_framework.mmm_extensions.builders) compare_runs() (in module mmm_framework.platform.runs) COMPLETED (mmm_framework.jobs.JobStatus attribute) completed_at (mmm_framework.jobs.Job attribute) component_time_series (mmm_framework.reporting.extractors.MMMDataBundle attribute) component_time_series_by_geo (mmm_framework.reporting.extractors.MMMDataBundle attribute) component_time_series_by_product (mmm_framework.reporting.extractors.MMMDataBundle attribute) component_totals (mmm_framework.reporting.extractors.MMMDataBundle attribute) component_totals_by_geo (mmm_framework.reporting.extractors.MMMDataBundle attribute) component_totals_by_product (mmm_framework.reporting.extractors.MMMDataBundle attribute) ComponentDecomposition (class in mmm_framework.model.results) components (mmm_framework.mmm_extensions.components.ControlEffectResult attribute) (mmm_framework.mmm_extensions.components.EffectResult attribute) (mmm_framework.mmm_extensions.components.variable_selection.ControlEffectResult attribute) compute() (mmm_framework.validation.channel_diagnostics.VIFCalculator method) compute_adstock_curves() (mmm_framework.model.base.BayesianMMM method) compute_channel_roi() (mmm_framework.analysis.MMMAnalyzer method) compute_component_decomposition() (in module mmm_framework.reporting.helpers.decomposition) (mmm_framework.model.base.BayesianMMM method) compute_contribution_summary() (in module mmm_framework.analysis) compute_counterfactual_contributions() (mmm_framework.analysis.MMMAnalyzer method) (mmm_framework.model.base.BayesianMMM method) compute_cross_effect_contribution() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.mmm_extensions.components.cross_effects) compute_decomposition_waterfall() (in module mmm_framework.reporting.helpers.decomposition) compute_evoi_for_channel() (in module mmm_framework.planning.evoi) compute_evpi() (in module mmm_framework.planning.evoi) compute_experiment_priorities() (in module mmm_framework.planning.priority) compute_fit_diagnostics() (in module mmm_framework.diagnostics.snapshot) compute_hdi_bounds() (in module mmm_framework.utils.statistics) compute_inclusion_probabilities() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.mmm_extensions.components.variable_selection) compute_kappa_bounds_from_data() (mmm_framework.config.SaturationConfig static method) compute_marginal_contributions() (mmm_framework.analysis.MMMAnalyzer method) (mmm_framework.model.base.BayesianMMM method) compute_marginal_roi() (in module mmm_framework.reporting.helpers.roi) compute_opportunity_cost() (in module mmm_framework.planning.opportunity_cost) compute_pacing() (in module mmm_framework.planning.pacing) compute_param_stat() (in module mmm_framework.diagnostics.sbc) compute_parameter_learning() (mmm_framework.mmm_extensions.models.base.BaseExtendedMMM method) (mmm_framework.model.base.BayesianMMM method) compute_period_contributions() (in module mmm_framework.analysis) compute_roi_with_uncertainty() (in module mmm_framework.reporting.helpers.roi) compute_run_metrics() (in module mmm_framework.planning.history) compute_saturation_curves() (mmm_framework.analysis.MMMAnalyzer method) compute_spend_shares() (mmm_framework.data_loader.PanelDataset method) compute_survey_observation_indices() (in module mmm_framework.mmm_extensions.components) concentration (mmm_framework.calibration.likelihood.ShareMeasurement attribute) confidential (mmm_framework.reporting.config.ReportConfig attribute) config (mmm_framework.dag_model_builder.dag_spec.DAGNode attribute) (mmm_framework.data_loader.PanelDataset attribute) (mmm_framework.eda.DataValidationReport attribute) (mmm_framework.eda.OutlierReport attribute) (mmm_framework.jobs.Job attribute) (mmm_framework.mmm_extensions.results.ModelResults attribute) (mmm_framework.validation.backtest.BacktestResult attribute) CONFIG_SCHEMA (mmm_framework.model.base.BayesianMMM attribute) configure_control() (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) configure_media() (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) configure_mediator() (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) CONFOUNDER (mmm_framework.config.CausalControlRole attribute) consensus (mmm_framework.continuous_learning.planner.PlanResult attribute) consensus_threshold (mmm_framework.eda.OutlierConfig attribute) Constant (class in mmm_framework.estimands.spec) constrain (mmm_framework.continuous_learning.acquisition.Transform attribute) constrain_jax() (mmm_framework.continuous_learning.acquisition.ThetaMap method) constrain_params() (mmm_framework.continuous_learning.acquisition.ThetaMap method) constraint (mmm_framework.mmm_extensions.config.EffectPriorConfig attribute) continuous() (mmm_framework.mmm_extensions.builders.SpikeSlabConfigBuilder method) Contrast (class in mmm_framework.estimands.spec) Contribution (class in mmm_framework.estimands.spec) CONTRIBUTION (mmm_framework.calibration.likelihood.ExperimentEstimand attribute) contribution (mmm_framework.mmm_extensions.components.ControlEffectResult attribute) (mmm_framework.mmm_extensions.components.EffectResult attribute) (mmm_framework.mmm_extensions.components.variable_selection.ControlEffectResult attribute) contribution_hdi_high (mmm_framework.model.results.ContributionResults attribute) contribution_hdi_low (mmm_framework.model.results.ContributionResults attribute) contribution_pct (mmm_framework.model.results.ContributionResults attribute) ContributionResults (class in mmm_framework.model.results) contributions_path (mmm_framework.jobs.JobResult attribute) CONTROL (mmm_framework.config.DatasetRole attribute) (mmm_framework.config.VariableRole attribute) (mmm_framework.dag_model_builder.dag_spec.NodeType attribute) control_effect (mmm_framework.mmm_extensions.config.MediatorSpec attribute) control_effect_sigma (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) control_geos (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) (mmm_framework.planning.simulation.Assignment attribute) control_mean (mmm_framework.data_preparation.ScalingParameters attribute) control_names (mmm_framework.config.DatasetSchema property) (mmm_framework.config.MFFConfig property) (mmm_framework.data_preparation.PreparedData attribute) control_nodes (mmm_framework.dag_model_builder.dag_spec.DAGSpec property) control_roles (mmm_framework.synth.dgp.Scenario attribute) control_selection (mmm_framework.config.ModelConfig attribute) control_std (mmm_framework.data_preparation.ScalingParameters attribute) ControlEffectResult (class in mmm_framework.mmm_extensions.components) (class in mmm_framework.mmm_extensions.components.variable_selection) ControlNodeConfig (class in mmm_framework.dag_model_builder.node_configs) controls (mmm_framework.config.MFFConfig attribute) (mmm_framework.data_loader.PanelCoordinates attribute) (mmm_framework.datasets.ExampleSpec attribute) (mmm_framework.eda.EDAPanel attribute) (mmm_framework.mmm_extensions.config.MediatorSpec attribute) (mmm_framework.synth.dgp.Scenario attribute) (mmm_framework.synth.dgp_geo.GeoScenario attribute) (mmm_framework.validation.spec_curve.SpecVariant attribute) controls_by_var (mmm_framework.model.results.ComponentDecomposition attribute) controls_summary() (mmm_framework.model.results.ComponentDecomposition method) controls_total (mmm_framework.model.results.ComponentDecomposition attribute) ControlSelectionConfig (class in mmm_framework.config) ControlSelectionConfigBuilder (class in mmm_framework.builders.model) ControlVariableConfig (class in mmm_framework.config) ControlVariableConfigBuilder (class in mmm_framework.builders.variable) converged (mmm_framework.mmm_extensions.results.ModelResults property) (mmm_framework.model.results.MMMResults property) convergence_flags (mmm_framework.mmm_extensions.results.ModelResults property) (mmm_framework.model.results.MMMResults property) cooldown_weeks() (in module mmm_framework.planning.experiment_optimizer) coords (mmm_framework.data_loader.PanelDataset attribute) CORPORATE (mmm_framework.reporting.config.ColorPalette attribute) correlation_matrix() (mmm_framework.validation.channel_diagnostics.ChannelDiagnostics method) correlation_threshold (mmm_framework.eda.EDAConfig attribute) cost_per_week (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) counterfactual_predictions (mmm_framework.model.results.ContributionResults attribute) country (mmm_framework.config.EventsConfig attribute) coverage (mmm_framework.diagnostics.coverage.CoverageLevelStat attribute) (mmm_framework.diagnostics.sbc.SBCParamStat attribute) coverage() (mmm_framework.validation.backtest.BacktestResult method) coverage_at() (mmm_framework.diagnostics.coverage.RecoveryTargetStat method) (mmm_framework.diagnostics.sbc.SBCParamStat method) coverage_from_draws() (in module mmm_framework.diagnostics.coverage) coverage_from_ranks() (in module mmm_framework.diagnostics.coverage) coverage_levels (mmm_framework.validation.backtest.BacktestConfig attribute) CoverageLevelStat (class in mmm_framework.diagnostics.coverage) cpa_interval() (in module mmm_framework.planning.cpa) cpa_power() (in module mmm_framework.planning.cpa) cpc (mmm_framework.config.MediaChannelConfig attribute) cpm (mmm_framework.config.MediaChannelConfig attribute) create_adstock_chart() (in module mmm_framework.reporting.charts.diagnostic) create_adstock_prior() (in module mmm_framework.mmm_extensions.components) create_bayesian_lasso_prior() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.mmm_extensions.components.variable_selection) create_bspline_basis() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.transforms.trend) create_data_connection() (in module mmm_framework.platform.sessions) create_decomposition_chart() (in module mmm_framework.reporting.charts.decomposition) create_effect_prior() (in module mmm_framework.mmm_extensions.components) create_extractor() (in module mmm_framework.reporting.extractors) create_finnish_horseshoe_prior() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.mmm_extensions.components.variable_selection) create_fit_statistics_with_geo_selector() (in module mmm_framework.reporting.charts.fit) create_fourier_features() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.transforms.seasonality) create_geo_media_config() (in module mmm_framework.config) create_job() (mmm_framework.jobs.JobManager method) create_learning_program() (in module mmm_framework.platform.sessions) create_mediation_dag() (in module mmm_framework.dag_model_builder.frontend_adapter) create_model_fit_chart() (in module mmm_framework.reporting.charts.fit) create_model_fit_chart_with_dimension_filter() (in module mmm_framework.reporting.charts.fit) create_model_fit_chart_with_geo_selector() (in module mmm_framework.reporting.charts.fit) create_national_media_config() (in module mmm_framework.config) create_piecewise_trend_matrix() (in module mmm_framework.transforms.trend) create_prior_posterior_chart() (in module mmm_framework.reporting.charts.diagnostic) create_project() (in module mmm_framework.platform.sessions) create_regularized_horseshoe_prior() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.mmm_extensions.components.variable_selection) create_roi_forest_plot() (in module mmm_framework.reporting.charts.roi) create_saturation_curves() (in module mmm_framework.reporting.charts.diagnostic) create_saturation_prior() (in module mmm_framework.mmm_extensions.components) create_sensitivity_chart() (in module mmm_framework.reporting.charts.diagnostic) create_session() (in module mmm_framework.platform.sessions) create_simple_dag() (in module mmm_framework.dag_model_builder.frontend_adapter) create_simple_mff_config() (in module mmm_framework.config) create_social_platform_configs() (in module mmm_framework.config) create_spike_slab_prior() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.mmm_extensions.components.variable_selection) create_stacked_area_chart() (in module mmm_framework.reporting.charts.decomposition) create_stacked_area_chart_with_geo_selector() (in module mmm_framework.reporting.charts.decomposition) create_trace_plot() (in module mmm_framework.reporting.charts.diagnostic) create_user() (in module mmm_framework.platform.sessions) create_variable_selection_prior() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.mmm_extensions.components.variable_selection) create_waterfall_chart() (in module mmm_framework.reporting.charts.decomposition) create_waterfall_chart_with_geo_selector() (in module mmm_framework.reporting.charts.decomposition) created_at (mmm_framework.jobs.Job attribute) CREATIVE (mmm_framework.config.DimensionType attribute) creative (mmm_framework.config.MFFColumnConfig attribute) credible_interval (mmm_framework.reporting.config.SectionConfig attribute) crit_value (mmm_framework.planning.simulation.AAResult attribute) cross_channel_vif() (in module mmm_framework.planning.identification) CROSS_EFFECT (mmm_framework.dag_model_builder.dag_spec.EdgeType attribute) cross_effect() (in module mmm_framework.mmm_extensions.builders) cross_effects (mmm_framework.mmm_extensions.config.MultivariateModelConfig attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) CrossEffectConfig (class in mmm_framework.mmm_extensions.config) CrossEffectConfigBuilder (class in mmm_framework.mmm_extensions.builders) CrossEffectSpec (class in mmm_framework.mmm_extensions.components) (class in mmm_framework.mmm_extensions.components.cross_effects) CrossEffectSummary (class in mmm_framework.mmm_extensions.results) CrossEffectType (class in mmm_framework.mmm_extensions.config) csv (mmm_framework.datasets.ExampleSpec attribute) currency_format (mmm_framework.reporting.config.ReportConfig attribute) currency_symbol (mmm_framework.reporting.config.ReportConfig attribute) current_spend (mmm_framework.analysis.MarginalAnalysisResult attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) current_step (mmm_framework.jobs.JobProgress attribute) CUSTOM (mmm_framework.config.AllocationMethod attribute) custom_events (mmm_framework.config.EventsConfig attribute) custom_notes (mmm_framework.reporting.config.SectionConfig attribute) CustomIntervention (class in mmm_framework.estimands.spec) cutpoint_prior_sigma (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.mmm_extensions.config.MediatorMeasurement attribute) D dag_spec_to_react_flow() (in module mmm_framework.dag_model_builder.frontend_adapter) dag_to_combined_config() (in module mmm_framework.dag_model_builder.config_translator) dag_to_mff_config() (in module mmm_framework.dag_model_builder.config_translator) dag_to_multivariate_config() (in module mmm_framework.dag_model_builder.config_translator) dag_to_nested_config() (in module mmm_framework.dag_model_builder.config_translator) dag_to_structural_config() (in module mmm_framework.dag_model_builder.config_translator) DAGBuildError DAGEdge (class in mmm_framework.dag_model_builder.dag_spec) DAGModelBuilder (class in mmm_framework.dag_model_builder.builder) DAGNode (class in mmm_framework.dag_model_builder.dag_spec) DAGSpec (class in mmm_framework.dag_model_builder.dag_spec) DAGValidationError daily() (mmm_framework.builders.mff.MFFConfigBuilder method) danger (mmm_framework.reporting.config.ColorScheme attribute) data (mmm_framework.continuous_learning.loop.LearningState attribute) data_fingerprint() (in module mmm_framework.platform.runs) data_path (mmm_framework.jobs.JobConfig attribute) DataExtractor (class in mmm_framework.reporting.extractors) DataPreparator (class in mmm_framework.data_preparation) dataset_capabilities() (mmm_framework.model.base.BayesianMMM static method) dataset_extremum() (in module mmm_framework.utils.arviz_compat) dataset_mtime (mmm_framework.eda.OutlierReport attribute) dataset_path (mmm_framework.eda.OutlierReport attribute) DATASET_SCHEMA (mmm_framework.model.base.BayesianMMM attribute) dataset_to_idata() (in module mmm_framework.utils.arviz_compat) DatasetRole (class in mmm_framework.config) DatasetSchema (class in mmm_framework.config) DataStandardizer (class in mmm_framework.utils.standardization) DataValidationConfig (class in mmm_framework.eda) DataValidationReport (class in mmm_framework.eda) DataValidator (class in mmm_framework.eda) date_col (mmm_framework.eda.EDAPanel attribute) date_format (mmm_framework.config.DatasetSchema attribute) (mmm_framework.config.MFFConfig attribute) dates (mmm_framework.config.EventSpec attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) decay (mmm_framework.config.EventSpec attribute) decayed_sigma() (in module mmm_framework.planning.eig) decimal_format (mmm_framework.reporting.config.ReportConfig attribute) decimal_separator (mmm_framework.config.MFFConfig attribute) declared_estimands (mmm_framework.estimands.spec.SupportsEstimands attribute) decompose_series() (in module mmm_framework.eda) decomposition (mmm_framework.reporting.config.ReportConfig attribute) decomposition_summary() (in module mmm_framework.eda) DecompositionResult (class in mmm_framework.eda) DecompositionSection (class in mmm_framework.reporting.sections) dedupe_channel_names() (mmm_framework.config.MFFConfig method) deep_dives (mmm_framework.reporting.config.ReportConfig attribute) default_credible_interval (mmm_framework.reporting.config.ReportConfig attribute) DEFAULT_MARGINAL_FACTOR (in module mmm_framework.estimands.registry) DEFAULT_MODEL_KIND (in module mmm_framework.garden.contract) DEFAULT_NAMES (in module mmm_framework.estimands.registry) default_node_name() (mmm_framework.calibration.likelihood.ExperimentMeasurement method) (mmm_framework.calibration.likelihood.ShareMeasurement method) DEFAULT_ORG_ID (in module mmm_framework.platform.sessions) DEFAULT_PACING_THRESHOLD (in module mmm_framework.planning.pacing) default_pairs() (in module mmm_framework.continuous_learning.model) default_spec_variants() (in module mmm_framework.validation.spec_curve) default_title (mmm_framework.reporting.sections.AllocationSection attribute) (mmm_framework.reporting.sections.CannibalizationSection attribute) (mmm_framework.reporting.sections.CausalAssumptionsSection attribute) (mmm_framework.reporting.sections.CFOSection attribute) (mmm_framework.reporting.sections.ChannelROISection attribute) (mmm_framework.reporting.sections.DecompositionSection attribute) (mmm_framework.reporting.sections.DiagnosticsSection attribute) (mmm_framework.reporting.sections.EstimandsSection attribute) (mmm_framework.reporting.sections.ExecutiveSummarySection attribute) (mmm_framework.reporting.sections.FactorAnalysisSection attribute) (mmm_framework.reporting.sections.GeographicSection attribute) (mmm_framework.reporting.sections.LongTermSection attribute) (mmm_framework.reporting.sections.MediatorSection attribute) (mmm_framework.reporting.sections.MethodologySection attribute) (mmm_framework.reporting.sections.ModelFitSection attribute) (mmm_framework.reporting.sections.PacingSection attribute) (mmm_framework.reporting.sections.PosteriorPredictiveSection attribute) (mmm_framework.reporting.sections.SaturationSection attribute) (mmm_framework.reporting.sections.Section attribute) (mmm_framework.reporting.sections.SensitivitySection attribute) (mmm_framework.reporting.sections.SpecCurveSection attribute) (mmm_framework.reporting.sections.TriangulationSection attribute) default_variables() (mmm_framework.eda.OutlierDetector method) defaults_for() (in module mmm_framework.estimands.registry) DELAYED (mmm_framework.config.AdstockType attribute) delayed() (mmm_framework.builders.prior.AdstockConfigBuilder method) (mmm_framework.config.AdstockConfig class method) delete_analysis_plan() (in module mmm_framework.platform.sessions) delete_artifact() (in module mmm_framework.platform.sessions) delete_budget_plan() (in module mmm_framework.platform.sessions) delete_data_connection() (in module mmm_framework.platform.sessions) delete_delivery() (in module mmm_framework.platform.sessions) delete_experiment() (in module mmm_framework.platform.sessions) delete_file() (in module mmm_framework.platform.sessions) delete_garden_model() (in module mmm_framework.platform.sessions) delete_job() (mmm_framework.jobs.JobManager method) delete_kb_document() (in module mmm_framework.platform.sessions) delete_learning_program() (in module mmm_framework.platform.sessions) delete_platform_figures() (in module mmm_framework.platform.sessions) delete_preference() (in module mmm_framework.platform.sessions) delete_project() (in module mmm_framework.platform.sessions) delete_session() (in module mmm_framework.platform.sessions) delete_user() (in module mmm_framework.platform.sessions) delta (mmm_framework.planning.evoi.EvoiSurrogate attribute) demote_channel() (in module mmm_framework.continuous_learning.model) denominator (mmm_framework.estimands.spec.Estimand attribute) dense_controls() (in module mmm_framework.mmm_extensions.builders) dense_selection_config() (in module mmm_framework.mmm_extensions.config) describe() (mmm_framework.config.SpecChange method) (mmm_framework.validation.backtest.TrendExtrapolation method) describe_contract() (in module mmm_framework.garden.contract) describe_model_type() (in module mmm_framework.dag_model_builder.model_type_resolver) description (mmm_framework.datasets.ExampleSpec attribute) (mmm_framework.jobs.JobConfig attribute) (mmm_framework.synth.dgp.Scenario attribute) (mmm_framework.synth.dgp_geo.GeoScenario attribute) (mmm_framework.validation.spec_curve.SpecVariant attribute) design_effect (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.mmm_extensions.config.AggregatedSurveyConfig attribute) (mmm_framework.mmm_extensions.config.MediatorMeasurement attribute) design_eig() (in module mmm_framework.continuous_learning.acquisition) design_experiment() (in module mmm_framework.planning.design) design_information() (in module mmm_framework.continuous_learning.acquisition) design_key (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) design_options() (in module mmm_framework.planning.design) design_type (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) (mmm_framework.planning.priority.ChannelPriority attribute) detect_collinear_clusters() (in module mmm_framework.validation.channel_diagnostics) detect_outliers() (in module mmm_framework.eda) df_long (mmm_framework.eda.EDAPanel attribute) df_wide (mmm_framework.eda.EDAPanel attribute) diagnostics (mmm_framework.continuous_learning.model.Posterior attribute) (mmm_framework.mmm_extensions.results.ModelResults attribute) (mmm_framework.model.results.MMMResults attribute) (mmm_framework.reporting.config.ReportConfig attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) DiagnosticsSection (class in mmm_framework.reporting.sections) diff_spec() (in module mmm_framework.config) dim (mmm_framework.continuous_learning.acquisition.ThetaMap property) dim_names (mmm_framework.config.VariableConfig property) dimension_columns (mmm_framework.config.MFFColumnConfig property) DimensionAlignmentConfig (class in mmm_framework.config) DimensionAlignmentConfigBuilder (class in mmm_framework.builders.model) dimensions (mmm_framework.config.RoleBinding attribute) (mmm_framework.config.VariableConfig attribute) (mmm_framework.dag_model_builder.dag_spec.DAGNode attribute) DimensionType (class in mmm_framework.config) dims (mmm_framework.config.PriorConfig attribute) (mmm_framework.eda.EDAPanel attribute) (mmm_framework.eda.OutlierFlag attribute) DIRECT (mmm_framework.dag_model_builder.dag_spec.EdgeType attribute) direct_effect (mmm_framework.mmm_extensions.config.MediatorConfig attribute) (mmm_framework.mmm_extensions.config.MediatorSpec attribute) (mmm_framework.mmm_extensions.results.MediationEffects attribute) direct_effect_sd (mmm_framework.mmm_extensions.results.MediationEffects attribute) direct_effect_sigma (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.mmm_extensions.config.MediatorConfigExtended attribute) direct_mean (mmm_framework.mmm_extensions.results.EffectDecomposition attribute) direct_sd (mmm_framework.mmm_extensions.results.EffectDecomposition attribute) disable_section() (mmm_framework.reporting.generator.ReportBuilder method) disabled() (mmm_framework.builders.model.HierarchicalConfigBuilder method) discount_half_life (mmm_framework.continuous_learning.loop.LearningState attribute) discrete() (mmm_framework.mmm_extensions.builders.SpikeSlabConfigBuilder method) dispersion_z (mmm_framework.diagnostics.sbc.SBCParamStat attribute) display_label (mmm_framework.dag_model_builder.dag_spec.DAGNode property) display_name (mmm_framework.config.RoleBinding attribute) (mmm_framework.config.VariableConfig attribute) (mmm_framework.jobs.Job property) distribution (mmm_framework.calibration.likelihood.ExperimentMeasurement attribute) (mmm_framework.calibration.likelihood.ShareMeasurement attribute) (mmm_framework.config.PriorConfig attribute) divergence_pct (mmm_framework.planning.pacing.PacingChannel attribute) (mmm_framework.planning.pacing.PacingResult attribute) divergences (mmm_framework.jobs.JobResult attribute) draw_geo_intercepts() (in module mmm_framework.continuous_learning.dgp) draw_params() (mmm_framework.continuous_learning.model.Posterior method) draws (mmm_framework.continuous_learning.planner.PlanResult attribute) (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) (mmm_framework.validation.backtest.BacktestConfig attribute) drift_world() (in module mmm_framework.continuous_learning.dgp) drop_context_ratio (mmm_framework.eda.OutlierConfig attribute) due_for_retest() (in module mmm_framework.continuous_learning.loop) duplicate_policy (mmm_framework.config.MFFConfig attribute) duplicate_rows (mmm_framework.eda.EDAPanel attribute) duration (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) duration_effective (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) duration_requested (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) duration_seconds (mmm_framework.jobs.Job property) dynamics (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.mmm_extensions.config.LatentFactorSpec attribute) (mmm_framework.mmm_extensions.config.MediatorSpec attribute) E e_regret (mmm_framework.continuous_learning.loop.WaveRecord attribute) (mmm_framework.continuous_learning.planner.PlanResult attribute) ecdf_diff_band() (in module mmm_framework.diagnostics.sbc) EDAConfig (class in mmm_framework.eda) EDAPanel (class in mmm_framework.eda) EDAReport (class in mmm_framework.eda) edge_type (mmm_framework.dag_model_builder.dag_spec.DAGEdge attribute) edges (mmm_framework.dag_model_builder.dag_spec.DAGSpec attribute) EdgeType (class in mmm_framework.dag_model_builder.dag_spec) effect_type (mmm_framework.mmm_extensions.components.cross_effects.CrossEffectSpec attribute) (mmm_framework.mmm_extensions.components.CrossEffectSpec attribute) (mmm_framework.mmm_extensions.config.CrossEffectConfig attribute) (mmm_framework.mmm_extensions.results.CrossEffectSummary attribute) EffectConstraint (class in mmm_framework.mmm_extensions.config) EffectDecomposition (class in mmm_framework.mmm_extensions.results) effective_nonzero (mmm_framework.mmm_extensions.components.variable_selection.VariableSelectionResult attribute) (mmm_framework.mmm_extensions.components.VariableSelectionResult attribute) EffectPriorConfig (class in mmm_framework.mmm_extensions.config) EffectPriorConfigBuilder (class in mmm_framework.mmm_extensions.builders) EffectPriorMixin (class in mmm_framework.mmm_extensions.builders_base) EffectResult (class in mmm_framework.mmm_extensions.components) eig (mmm_framework.planning.priority.ChannelPriority attribute) eig_decayed (mmm_framework.planning.priority.ChannelPriority attribute) eig_gaussian() (in module mmm_framework.planning.eig) eig_method (mmm_framework.planning.priority.ChannelPriority attribute) eig_monte_carlo() (in module mmm_framework.planning.eig) elapsed_s (mmm_framework.diagnostics.coverage.RecoveryCoverageResult attribute) (mmm_framework.diagnostics.sbc.SBCResult attribute) elasticity_prior_sigma (mmm_framework.config.PriceConfig attribute) empirical_mde (mmm_framework.planning.simulation.ABResult attribute) empirical_mde_roas (mmm_framework.planning.simulation.ABResult attribute) enable_all_sections() (mmm_framework.reporting.generator.ReportBuilder method) enable_section() (mmm_framework.reporting.generator.ReportBuilder method) enabled (mmm_framework.config.HierarchicalConfig attribute) (mmm_framework.reporting.config.SectionConfig attribute) enabled() (mmm_framework.builders.model.HierarchicalConfigBuilder method) enbs (mmm_framework.continuous_learning.loop.WaveRecord attribute) enbs() (in module mmm_framework.continuous_learning.planner) end (mmm_framework.estimands.spec.TimeWindow attribute) enrich_channel_metrics() (in module mmm_framework.platform.history) ensure_default_project() (in module mmm_framework.platform.sessions) EQUAL (mmm_framework.config.AllocationMethod attribute) error (mmm_framework.validation.spec_curve.SpecFit attribute) error_message (mmm_framework.jobs.JobResult attribute) error_traceback (mmm_framework.jobs.JobResult attribute) errors (mmm_framework.dag_model_builder.validation.ValidationResult attribute) ess_bulk_min (mmm_framework.jobs.JobResult attribute) Estimand (class in mmm_framework.estimands.spec) estimand (mmm_framework.calibration.likelihood.ExperimentMeasurement attribute) estimand_label() (in module mmm_framework.platform.estimands) ESTIMAND_SCHEMA_VERSION (in module mmm_framework.estimands.spec) EstimandEvaluator (class in mmm_framework.estimands.evaluate) EstimandResult (class in mmm_framework.estimands.spec) estimands (mmm_framework.model.results.MMMResults attribute) (mmm_framework.reporting.config.ReportConfig attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) EstimandsSection (class in mmm_framework.reporting.sections) estimate (mmm_framework.planning.simulation.EstimatorResult attribute) estimate_half_life() (in module mmm_framework.continuous_learning.loop) estimator (mmm_framework.planning.simulation.AAResult attribute) (mmm_framework.planning.simulation.ABResult attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) EstimatorResult (class in mmm_framework.planning.simulation) eta_grad() (in module mmm_framework.continuous_learning.acquisition) eval_periods (mmm_framework.calibration.likelihood.ExperimentMeasurement attribute) eval_spend (mmm_framework.calibration.likelihood.ExperimentMeasurement attribute) eval_units (mmm_framework.calibration.likelihood.ExperimentMeasurement attribute) evaluate() (mmm_framework.estimands.evaluate.EstimandEvaluator method) evaluate_estimands() (mmm_framework.estimands.spec.SupportsEstimands method) (mmm_framework.model.base.BayesianMMM method) evaluate_experiment_grid() (in module mmm_framework.planning.experiment_optimizer) events (mmm_framework.config.ModelConfig attribute) (mmm_framework.model.results.ComponentDecomposition attribute) EventsConfig (class in mmm_framework.config) EventSpec (class in mmm_framework.config) evidence_guide (mmm_framework.reporting.config.ReportConfig attribute) evoi (mmm_framework.planning.priority.ChannelPriority attribute) evoi_kpi (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) evoi_kpi_units (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) evoi_pct_budget (mmm_framework.planning.priority.ChannelPriority attribute) evoi_per_week (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) EvoiResult (class in mmm_framework.planning.evoi) EvoiSurrogate (class in mmm_framework.planning.evoi) evpi (mmm_framework.planning.evoi.EvoiResult attribute) evpi_share (mmm_framework.planning.priority.ChannelPriority attribute) ExampleSpec (class in mmm_framework.datasets) excess_kurtosis (mmm_framework.diagnostics.sbc.SBCParamStat attribute) exclude() (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) exclude_confounders() (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) exclude_variables (mmm_framework.mmm_extensions.config.VariableSelectionConfig attribute) executive_summary (mmm_framework.reporting.config.ReportConfig attribute) ExecutiveSummarySection (class in mmm_framework.reporting.sections) expected (mmm_framework.eda.OutlierFlag attribute) expected_effect (mmm_framework.planning.simulation.ABResult attribute) expected_kpi_delta (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) expected_nonzero (mmm_framework.config.ControlSelectionConfig attribute) (mmm_framework.mmm_extensions.config.HorseshoeConfig attribute) expected_outcome_delta() (in module mmm_framework.planning.pacing) expected_regret() (in module mmm_framework.continuous_learning.planner) expected_sign (mmm_framework.config.ChannelInteraction attribute) expected_total (mmm_framework.planning.simulation.LiftInjector attribute) ExperimentEstimand (class in mmm_framework.calibration.likelihood) ExperimentMeasurement (class in mmm_framework.calibration.likelihood) explicit_nan_mask (mmm_framework.data_loader.PanelDataset attribute) EXPONENTIAL (mmm_framework.config.FrequencyResponse attribute) ExtendedMMMExtractor (class in mmm_framework.reporting.extractors) ExtensionBuilderProtocol (class in mmm_framework.mmm_extensions.builders_base) extra (mmm_framework.estimands.spec.EstimandResult attribute) extract() (mmm_framework.reporting.extractors.BayesianMMMExtractor method) (mmm_framework.reporting.extractors.DataExtractor method) (mmm_framework.reporting.extractors.ExtendedMMMExtractor method) (mmm_framework.reporting.extractors.FactorAnalysisExtractor method) (mmm_framework.reporting.extractors.PyMCMarketingExtractor method) extract_with_nan_tracking() (in module mmm_framework.data_loader) extrapolation_warning (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) F factor (mmm_framework.estimands.spec.ScaleInput attribute) factor_analysis (mmm_framework.reporting.config.ReportConfig attribute) factor_loading() (in module mmm_framework.estimands.registry) factor_loadings (mmm_framework.reporting.extractors.MMMDataBundle attribute) FactorAnalysisExtractor (class in mmm_framework.reporting.extractors) FactorAnalysisSection (class in mmm_framework.reporting.sections) FAILED (mmm_framework.jobs.JobStatus attribute) failure_mode_guide() (in module mmm_framework.diagnostics.coverage) family (mmm_framework.config.LikelihoodConfig attribute) figures (mmm_framework.eda.EDAReport attribute) fill_missing_controls (mmm_framework.config.MFFConfig attribute) fill_missing_media (mmm_framework.config.MFFConfig attribute) find_garden_class() (in module mmm_framework.garden.contract) FINNISH_HORSESHOE (mmm_framework.mmm_extensions.config.VariableSelectionMethod attribute) finnish_horseshoe() (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) fit() (in module mmm_framework.continuous_learning.model) (mmm_framework.continuous_learning.loop.LearningState method) (mmm_framework.garden.contract.SupportsFit method) (mmm_framework.mmm_extensions.models.base.BaseExtendedMMM method) (mmm_framework.model.base.BayesianMMM method) (mmm_framework.utils.standardization.DataStandardizer method) fit_duration_seconds (mmm_framework.jobs.JobResult attribute) fit_evoi_surrogate() (in module mmm_framework.planning.evoi) fit_index() (in module mmm_framework.estimands.registry) fit_method (mmm_framework.config.ModelConfig attribute) fit_statistics (mmm_framework.reporting.extractors.MMMDataBundle attribute) fit_statistics_by_geo (mmm_framework.reporting.extractors.MMMDataBundle attribute) fit_statistics_by_product (mmm_framework.reporting.extractors.MMMDataBundle attribute) fit_transform() (mmm_framework.utils.standardization.DataStandardizer method) FitMethod (class in mmm_framework.config) fits (mmm_framework.validation.backtest.BacktestResult attribute) (mmm_framework.validation.spec_curve.SpecCurveResult attribute) fixed_lift_injector() (in module mmm_framework.planning.simulation) flag_id (mmm_framework.eda.OutlierFlag property) flag_ids (mmm_framework.eda.RemediationAction attribute) flagged (mmm_framework.planning.pacing.PacingResult attribute) flags (mmm_framework.diagnostics.coverage.RecoveryTargetStat attribute) (mmm_framework.eda.OutlierReport attribute) flags_frame() (mmm_framework.eda.OutlierReport method) flexible() (mmm_framework.builders.model.TrendConfigBuilder method) flighting (mmm_framework.reporting.config.ReportConfig attribute) flighting_design() (in module mmm_framework.planning.design) flighting_estimand_ses() (in module mmm_framework.planning.design) floor_value (mmm_framework.config.KPIConfig attribute) (mmm_framework.dag_model_builder.node_configs.KPINodeConfig attribute) font_family_mono (mmm_framework.reporting.config.ReportConfig attribute) font_family_sans (mmm_framework.reporting.config.ReportConfig attribute) font_family_serif (mmm_framework.reporting.config.ReportConfig attribute) font_sans (mmm_framework.reporting.config.ColorScheme attribute) foot_traffic_mediator() (in module mmm_framework.mmm_extensions.builders) footprint (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) for_sensitivity() (mmm_framework.eda.OutlierConfig class method) forecast() (mmm_framework.validation.backtest.PosteriorForecaster method) ForecastUnsupportedError forgone_kpi_median (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) forgone_kpi_p95 (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) format_channel_names (mmm_framework.reporting.config.ReportConfig attribute) format_currency() (mmm_framework.reporting.config.ReportConfig method) format_decimal() (mmm_framework.reporting.config.ReportConfig method) format_percentage() (mmm_framework.reporting.config.ReportConfig method) fpr_at_crit (mmm_framework.planning.simulation.AAResult attribute) fpr_at_nominal (mmm_framework.planning.simulation.AAResult attribute) fpr_ci (mmm_framework.planning.simulation.AAResult attribute) fpr_inflated (mmm_framework.planning.simulation.AAResult attribute) fpr_tolerance (mmm_framework.planning.simulation.AAResult attribute) framework_version (mmm_framework.reporting.config.ReportConfig attribute) freq (mmm_framework.eda.EDAPanel attribute) frequency (mmm_framework.config.DatasetSchema attribute) (mmm_framework.config.MFFConfig attribute) frequency_column (mmm_framework.config.ReachFrequencyConfig attribute) frequency_prior_scale (mmm_framework.config.ReachFrequencyConfig attribute) FrequencyResponse (class in mmm_framework.config) frequentist_caveats (mmm_framework.reporting.extractors.MMMDataBundle attribute) FREQUENTIST_CVXPY (mmm_framework.config.InferenceMethod attribute) frequentist_cvxpy() (mmm_framework.builders.model.ModelConfigBuilder method) frequentist_estimator (mmm_framework.config.ModelConfig property) FREQUENTIST_RIDGE (mmm_framework.config.InferenceMethod attribute) frequentist_ridge() (mmm_framework.builders.model.ModelConfigBuilder method) from_dag() (mmm_framework.dag_model_builder.builder.DAGModelBuilder class method) from_dict() (mmm_framework.calibration.likelihood.ExperimentMeasurement class method) (mmm_framework.calibration.likelihood.ShareMeasurement class method) (mmm_framework.data_preparation.ScalingParameters class method) (mmm_framework.eda.OutlierReport class method) (mmm_framework.estimands.spec.Estimand class method) (mmm_framework.jobs.Job class method) (mmm_framework.jobs.JobConfig class method) (mmm_framework.jobs.JobProgress class method) (mmm_framework.jobs.JobResult class method) (mmm_framework.model.trend_config.TrendConfig class method) (mmm_framework.utils.standardization.StandardizationParams class method) from_frequencies() (mmm_framework.mmm_extensions.builders.AggregatedSurveyConfigBuilder method) from_frontend_json() (mmm_framework.dag_model_builder.builder.DAGModelBuilder class method) from_lift_test() (mmm_framework.calibration.likelihood.ExperimentMeasurement class method) from_mff() (mmm_framework.config.DatasetSchema class method) from_palette() (mmm_framework.reporting.config.ColorScheme class method) full() (mmm_framework.reporting.config.ReportConfig class method) FULLRANK_ADVI (mmm_framework.config.FitMethod attribute) FULLY_LATENT (mmm_framework.mmm_extensions.config.MediatorObservationType attribute) (mmm_framework.mmm_extensions.config.MediatorType attribute) fully_latent() (mmm_framework.mmm_extensions.builders.MediatorConfigBuilder method) (mmm_framework.mmm_extensions.builders.MediatorConfigBuilderExtended method) FULLY_OBSERVED (mmm_framework.mmm_extensions.config.MediatorObservationType attribute) (mmm_framework.mmm_extensions.config.MediatorType attribute) fully_observed() (mmm_framework.mmm_extensions.builders.MediatorConfigBuilder method) (mmm_framework.mmm_extensions.builders.MediatorConfigBuilderExtended method) funded (mmm_framework.continuous_learning.loop.WaveRecord attribute) funding() (mmm_framework.continuous_learning.loop.LearningState method) G GAMMA (mmm_framework.config.PriorType attribute) gamma() (mmm_framework.builders.prior.PriorConfigBuilder method) (mmm_framework.config.PriorConfig class method) gamma_idx (mmm_framework.continuous_learning.acquisition.ThetaMap property) gamma_matrix() (mmm_framework.continuous_learning.dgp.TrueWorld method) (mmm_framework.continuous_learning.model.Posterior method) gamma_pairs (mmm_framework.continuous_learning.dgp.TrueWorld attribute) gamma_scale (mmm_framework.continuous_learning.loop.LearningState attribute) gamma_summary() (mmm_framework.continuous_learning.model.Posterior method) gamma_transforms (mmm_framework.continuous_learning.acquisition.ThetaMap attribute) GARDEN_CONTRACT_VERSION (in module mmm_framework.garden.contract) GARDEN_STATUSES (in module mmm_framework.platform.sessions) GARDEN_TRANSITIONS (in module mmm_framework.platform.sessions) GAUSSIAN (mmm_framework.mmm_extensions.config.MediatorLikelihood attribute) gaussian_eig() (in module mmm_framework.continuous_learning.acquisition) gaussian_process() (mmm_framework.builders.model.TrendConfigBuilder method) generate_complete_date_range() (in module mmm_framework.data_loader) generate_mff() (in module mmm_framework.synth.mff) generate_model_summary() (in module mmm_framework.reporting.helpers.summary) generated_date (mmm_framework.reporting.config.ReportConfig attribute) geo (mmm_framework.datasets.ExampleSpec attribute) geo_allocation (mmm_framework.config.DimensionAlignmentConfig attribute) geo_by_custom() (mmm_framework.builders.model.DimensionAlignmentConfigBuilder method) geo_by_population() (mmm_framework.builders.model.DimensionAlignmentConfigBuilder method) geo_by_sales() (mmm_framework.builders.model.DimensionAlignmentConfigBuilder method) geo_contribution (mmm_framework.reporting.extractors.MMMDataBundle attribute) geo_effects (mmm_framework.model.results.ComponentDecomposition attribute) geo_equal() (mmm_framework.builders.model.DimensionAlignmentConfigBuilder method) geo_ids (mmm_framework.continuous_learning.loop.LearningState attribute) geo_idx (mmm_framework.data_preparation.PreparedData attribute) geo_lift_design() (in module mmm_framework.planning.design) geo_names (mmm_framework.data_preparation.PreparedData attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) geo_performance (mmm_framework.reporting.extractors.MMMDataBundle attribute) geo_roi (mmm_framework.reporting.extractors.MMMDataBundle attribute) geo_scenario() (mmm_framework.synth.dgp_geo.GeoScenario method) geo_scenario_to_mff() (in module mmm_framework.synth.mff) geo_weight_variable (mmm_framework.config.DimensionAlignmentConfig attribute) GeoExtractionMixin (class in mmm_framework.reporting.extractors) geographic (mmm_framework.reporting.config.ReportConfig attribute) GeographicSection (class in mmm_framework.reporting.sections) geographies (mmm_framework.data_loader.PanelCoordinates attribute) GEOGRAPHY (mmm_framework.config.DimensionType attribute) geography (mmm_framework.config.MFFColumnConfig attribute) GEOMETRIC (mmm_framework.config.AdstockType attribute) geometric() (mmm_framework.builders.prior.AdstockConfigBuilder method) (mmm_framework.config.AdstockConfig class method) geometric_adstock() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.transforms.adstock) geometric_adstock_2d() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.transforms.adstock) geometric_adstock_convolution() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.mmm_extensions.components.transforms) geometric_adstock_matrix() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.mmm_extensions.components.transforms) geometric_adstock_np() (in module mmm_framework.mmm_extensions.components) geometric_adstock_pt() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.mmm_extensions.components.transforms) geos (mmm_framework.planning.simulation.SimPanel attribute) (mmm_framework.synth.dgp_geo.GeoScenario attribute) GeoScenario (class in mmm_framework.synth.dgp_geo) get() (in module mmm_framework.estimands.registry) (mmm_framework.reporting.config.ChannelColors method) get_active_jobs() (mmm_framework.jobs.JobManager method) get_analysis_plan() (in module mmm_framework.platform.sessions) get_artifact() (in module mmm_framework.platform.sessions) get_assumption_history() (in module mmm_framework.platform.sessions) get_budget_plan() (in module mmm_framework.platform.sessions) get_children() (mmm_framework.dag_model_builder.dag_spec.DAGSpec method) get_completed_jobs() (mmm_framework.jobs.JobManager method) get_control_config() (mmm_framework.config.MFFConfig method) get_correlation_matrix() (mmm_framework.mmm_extensions.models.multivariate.MultivariateMMM method) get_cross_effects_summary() (mmm_framework.mmm_extensions.models.combined.CombinedMMM method) (mmm_framework.mmm_extensions.models.multivariate.MultivariateMMM method) get_data_connection() (in module mmm_framework.platform.sessions) get_data_connection_by_name() (in module mmm_framework.platform.sessions) get_effect_decomposition() (mmm_framework.mmm_extensions.models.combined.CombinedMMM method) get_experiment() (in module mmm_framework.platform.sessions) get_file() (in module mmm_framework.platform.sessions) get_garden_model() (in module mmm_framework.platform.sessions) get_hierarchical_media_groups() (mmm_framework.config.MFFConfig method) get_incoming_edges() (mmm_framework.dag_model_builder.dag_spec.DAGSpec method) get_job() (mmm_framework.jobs.JobManager method) get_job_manager() (in module mmm_framework.jobs) get_kb_document() (in module mmm_framework.platform.sessions) get_latest_garden_model() (in module mmm_framework.platform.sessions) get_learning_program() (in module mmm_framework.platform.sessions) get_learning_wave() (in module mmm_framework.platform.sessions) get_media_config() (mmm_framework.config.MFFConfig method) get_media_for_channel() (mmm_framework.data_loader.PanelDataset method) get_mediation_effects() (mmm_framework.mmm_extensions.models.nested.NestedMMM method) get_model_class() (in module mmm_framework.dag_model_builder.model_type_resolver) get_model_type() (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) get_node() (mmm_framework.dag_model_builder.dag_spec.DAGSpec method) get_node_by_variable() (mmm_framework.dag_model_builder.dag_spec.DAGSpec method) get_nodes_by_type() (mmm_framework.dag_model_builder.dag_spec.DAGSpec method) get_outgoing_edges() (mmm_framework.dag_model_builder.dag_spec.DAGSpec method) get_parents() (mmm_framework.dag_model_builder.dag_spec.DAGSpec method) get_preference() (in module mmm_framework.platform.sessions) get_prior() (mmm_framework.model.base.BayesianMMM method) get_project() (in module mmm_framework.platform.sessions) get_project_branding() (in module mmm_framework.platform.sessions) get_run_metrics() (in module mmm_framework.platform.sessions) get_selectable_variables() (mmm_framework.mmm_extensions.config.VariableSelectionConfig method) get_session() (in module mmm_framework.platform.sessions) get_time_mask() (mmm_framework.analysis.MMMAnalyzer method) get_variable_config() (mmm_framework.config.MFFConfig method) get_workflow_overrides() (in module mmm_framework.platform.sessions) global_df (mmm_framework.mmm_extensions.config.HorseshoeConfig attribute) global_shrinkage (mmm_framework.mmm_extensions.components.variable_selection.VariableSelectionResult attribute) (mmm_framework.mmm_extensions.components.VariableSelectionResult attribute) GP (mmm_framework.model.trend_config.TrendType attribute) gp() (mmm_framework.builders.model.TrendConfigBuilder method) gp_amplitude_prior_sigma (mmm_framework.model.trend_config.TrendConfig attribute), [1] gp_c (mmm_framework.model.trend_config.TrendConfig attribute), [1] gp_lengthscale_prior_mu (mmm_framework.model.trend_config.TrendConfig attribute), [1] gp_lengthscale_prior_sigma (mmm_framework.model.trend_config.TrendConfig attribute), [1] gp_n_basis (mmm_framework.model.trend_config.TrendConfig attribute), [1] GPTrendStrategy (class in mmm_framework.model.components.trend) GROUP (mmm_framework.config.DatasetRole attribute) group_cols (mmm_framework.config.DatasetSchema attribute) group_estimands() (in module mmm_framework.platform.estimands) group_names() (in module mmm_framework.utils.arviz_compat) growth_prior_mu (mmm_framework.model.trend_config.TrendConfig attribute), [1] growth_prior_sigma (mmm_framework.model.trend_config.TrendConfig attribute), [1] H HALF_NORMAL (mmm_framework.config.PriorType attribute) half_normal() (mmm_framework.builders.prior.PriorConfigBuilder method) (mmm_framework.config.PriorConfig class method) HALF_STUDENT_T (mmm_framework.config.PriorType attribute) half_student_t() (mmm_framework.builders.prior.PriorConfigBuilder method) HALO (mmm_framework.mmm_extensions.config.CrossEffectType attribute) halo() (mmm_framework.mmm_extensions.builders.CrossEffectConfigBuilder method) halo_effect() (in module mmm_framework.mmm_extensions.builders) has_cannibalization_data (mmm_framework.reporting.extractors.MMMDataBundle property) has_cross_effects (mmm_framework.dag_model_builder.dag_spec.DAGSpec property) has_estimands (mmm_framework.reporting.extractors.MMMDataBundle property) has_geo (mmm_framework.config.VariableConfig property) (mmm_framework.data_loader.PanelCoordinates property) (mmm_framework.data_preparation.PreparedData attribute) has_geo_data (mmm_framework.reporting.extractors.MMMDataBundle property) has_geo_decomposition (mmm_framework.reporting.extractors.MMMDataBundle property) has_group() (in module mmm_framework.utils.arviz_compat) has_instruments (mmm_framework.dag_model_builder.dag_spec.DAGSpec property) has_latent_structure() (in module mmm_framework.garden.contract) has_mediator_data (mmm_framework.reporting.extractors.MMMDataBundle property) has_mediators (mmm_framework.dag_model_builder.dag_spec.DAGSpec property) has_multiple_outcomes (mmm_framework.dag_model_builder.dag_spec.DAGSpec property) has_posterior_predictive (mmm_framework.reporting.extractors.MMMDataBundle property) has_product (mmm_framework.config.VariableConfig property) (mmm_framework.data_loader.PanelCoordinates property) (mmm_framework.data_preparation.PreparedData attribute) has_product_data (mmm_framework.reporting.extractors.MMMDataBundle property) has_product_decomposition (mmm_framework.reporting.extractors.MMMDataBundle property) HasMediaMeta (class in mmm_framework.garden.contract) HasModel (class in mmm_framework.reporting.extractors) HasScaling (class in mmm_framework.garden.contract) HasTrace (class in mmm_framework.reporting.extractors) hdi_bounds() (in module mmm_framework.utils.arviz_compat) hdi_dataset() (in module mmm_framework.utils.arviz_compat) hdi_high (mmm_framework.estimands.spec.EstimandResult attribute) (mmm_framework.mmm_extensions.results.CrossEffectSummary attribute) hdi_low (mmm_framework.estimands.spec.EstimandResult attribute) (mmm_framework.mmm_extensions.results.CrossEffectSummary attribute) hdi_method (mmm_framework.estimands.spec.Realization attribute) hdi_prob (mmm_framework.analysis.MarginalAnalysisResult attribute) (mmm_framework.estimands.spec.Estimand attribute) (mmm_framework.estimands.spec.EstimandResult attribute) (mmm_framework.validation.spec_curve.SpecCurveResult attribute) headline (mmm_framework.reporting.config.ReportConfig attribute) headline_level (mmm_framework.diagnostics.coverage.RecoveryCoverageResult property) heavy_tail_kurtosis (mmm_framework.eda.OutlierConfig attribute) heavy_tail_min_flags (mmm_framework.eda.OutlierConfig attribute) heavy_tail_top_k (mmm_framework.eda.OutlierConfig attribute) height (mmm_framework.reporting.config.ChartConfig attribute) hierarchical (mmm_framework.config.ModelConfig attribute) HierarchicalConfig (class in mmm_framework.config) HierarchicalConfigBuilder (class in mmm_framework.builders.model) HILL (mmm_framework.config.FrequencyResponse attribute) (mmm_framework.config.SaturationType attribute) hill() (mmm_framework.builders.prior.SaturationConfigBuilder method) (mmm_framework.config.SaturationConfig class method) (mmm_framework.mmm_extensions.builders.SaturationConfigBuilder method) hill_mixture() (in module mmm_framework.continuous_learning.surface) hill_saturation() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.mmm_extensions.components.transforms) history (mmm_framework.continuous_learning.loop.LearningState attribute) hits (mmm_framework.diagnostics.coverage.CoverageLevelStat attribute) holdout_regions (mmm_framework.calibration.likelihood.ExperimentMeasurement attribute) holiday (mmm_framework.config.EventSpec attribute) holiday_decay (mmm_framework.config.EventsConfig attribute) holiday_post_weeks (mmm_framework.config.EventsConfig attribute) holiday_pre_weeks (mmm_framework.config.EventsConfig attribute) holidays (mmm_framework.config.EventsConfig attribute) horizon (mmm_framework.validation.backtest.BacktestConfig attribute) horseshoe (mmm_framework.mmm_extensions.config.VariableSelectionConfig attribute) horseshoe() (mmm_framework.builders.model.ControlSelectionConfigBuilder method) HorseshoeConfig (class in mmm_framework.mmm_extensions.config) HorseshoeConfigBuilder (class in mmm_framework.mmm_extensions.builders) I id (mmm_framework.dag_model_builder.dag_spec.DAGNode attribute) (mmm_framework.jobs.Job attribute) IDENTITY (mmm_framework.config.LinkFunction attribute) IMPRESSIONS (mmm_framework.config.MeasurementUnit attribute) include_noise (mmm_framework.validation.backtest.BacktestConfig attribute) include_only_variables (mmm_framework.mmm_extensions.config.VariableSelectionConfig attribute) include_plotly_js (mmm_framework.reporting.config.ReportConfig attribute) include_print_styles (mmm_framework.reporting.config.ReportConfig attribute) include_seasonality (mmm_framework.dag_model_builder.node_configs.OutcomeNodeConfig attribute) (mmm_framework.mmm_extensions.config.OutcomeConfig attribute) include_trend (mmm_framework.dag_model_builder.node_configs.OutcomeNodeConfig attribute) (mmm_framework.mmm_extensions.config.OutcomeConfig attribute) inclusion_indicators (mmm_framework.mmm_extensions.components.variable_selection.VariableSelectionResult attribute) (mmm_framework.mmm_extensions.components.VariableSelectionResult attribute) inclusion_prob_selection_config() (in module mmm_framework.mmm_extensions.config) incremental() (in module mmm_framework.continuous_learning.surface) incremental_batch() (in module mmm_framework.continuous_learning.surface) incremental_jit() (in module mmm_framework.continuous_learning.surface) index (mmm_framework.data_loader.PanelDataset attribute) (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) INDICATOR (mmm_framework.config.DatasetRole attribute) indicator_names (mmm_framework.config.DatasetSchema property) indirect_effects (mmm_framework.mmm_extensions.results.MediationEffects attribute) indirect_mean (mmm_framework.mmm_extensions.results.EffectDecomposition attribute) indirect_sd (mmm_framework.mmm_extensions.results.EffectDecomposition attribute) inference_family (mmm_framework.reporting.extractors.MMMDataBundle attribute) inference_method (mmm_framework.config.ModelConfig attribute) InferenceMethod (class in mmm_framework.config) information_half_life() (in module mmm_framework.planning.eig) ingest() (mmm_framework.continuous_learning.loop.LearningState method) ingest_summaries() (mmm_framework.continuous_learning.loop.LearningState method) init_db() (in module mmm_framework.platform.sessions) inject_geo() (mmm_framework.planning.simulation.LiftInjector method) inject_national() (mmm_framework.planning.simulation.LiftInjector method) innovation_sigma (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.mmm_extensions.config.MediatorSpec attribute) INSTRUMENT (mmm_framework.dag_model_builder.dag_spec.NodeType attribute) instrument_nodes (mmm_framework.dag_model_builder.dag_spec.DAGSpec property) int_ranks (mmm_framework.diagnostics.sbc.SBCParamStat attribute) intensity_pct (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) interactions (mmm_framework.model.results.ComponentDecomposition attribute) intercept (mmm_framework.model.results.ComponentDecomposition attribute) intercept_prior_mu (mmm_framework.config.ModelConfig attribute) intercept_prior_sigma (mmm_framework.config.ModelConfig attribute) (mmm_framework.dag_model_builder.node_configs.OutcomeNodeConfig attribute) (mmm_framework.mmm_extensions.config.OutcomeConfig attribute) interval_kind (mmm_framework.reporting.extractors.MMMDataBundle attribute) interval_noun (mmm_framework.reporting.sections.Section property) interval_phrase() (mmm_framework.reporting.sections.Section method) interval_semantics (mmm_framework.reporting.extractors.MMMDataBundle attribute) intervention (mmm_framework.estimands.spec.Contrast attribute) intervention_ref (mmm_framework.estimands.spec.MarginalSpend attribute) inverse_transform() (mmm_framework.utils.standardization.DataStandardizer method) iqr_multiplier (mmm_framework.eda.OutlierConfig attribute) is_active (mmm_framework.jobs.Job property) is_acyclic() (in module mmm_framework.dag_model_builder.validation) is_approximate (mmm_framework.config.FitMethod property) is_bayesian (mmm_framework.config.ModelConfig property) is_bayesian_mmm_subclass() (in module mmm_framework.garden.contract) is_child_channel (mmm_framework.config.MediaChannelConfig property) is_empty() (mmm_framework.config.EventsConfig method) is_enabled (mmm_framework.reporting.sections.Section property) is_frequentist (mmm_framework.config.ModelConfig property) (mmm_framework.reporting.extractors.MMMDataBundle property) (mmm_framework.reporting.sections.Section property) is_gaussian (mmm_framework.config.LikelihoodConfig property) (mmm_framework.config.LikelihoodFamily property) is_implemented (mmm_framework.config.ModelConfig property) is_input (mmm_framework.dag_model_builder.dag_spec.DAGNode property) is_mmm_model() (in module mmm_framework.garden.contract) is_model_defined (mmm_framework.validation.backtest.TrendExtrapolation property) is_panel (mmm_framework.data_loader.PanelDataset property) (mmm_framework.eda.EDAPanel property) is_ratio_kind() (in module mmm_framework.platform.estimands) is_recommended (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) is_spend (mmm_framework.config.MeasurementUnit property) is_target (mmm_framework.dag_model_builder.dag_spec.DAGNode property) issues (mmm_framework.eda.DataValidationReport attribute) iter_kb_chunks() (in module mmm_framework.platform.sessions) J jeffreys_interval() (in module mmm_framework.diagnostics.coverage) Job (class in mmm_framework.jobs) JobConfig (class in mmm_framework.jobs) JobManager (class in mmm_framework.jobs) JobProgress (class in mmm_framework.jobs) JobResult (class in mmm_framework.jobs) JobStatus (class in mmm_framework.jobs) join (mmm_framework.planning.pacing.PacingResult attribute) K k (mmm_framework.continuous_learning.acquisition.ThetaMap property) (mmm_framework.planning.evoi.EvoiSurrogate attribute) kappa (mmm_framework.continuous_learning.dgp.TrueWorld attribute) (mmm_framework.mmm_extensions.components.variable_selection.VariableSelectionResult attribute) (mmm_framework.mmm_extensions.components.VariableSelectionResult attribute) kappa_bounds_percentiles (mmm_framework.config.SaturationConfig attribute) kappa_prior (mmm_framework.config.SaturationConfig attribute) kappa_prior_alpha (mmm_framework.mmm_extensions.config.SaturationConfig attribute) kappa_prior_beta (mmm_framework.mmm_extensions.config.SaturationConfig attribute) key (mmm_framework.datasets.ExampleSpec attribute) kg_used (mmm_framework.continuous_learning.loop.WaveRecord attribute) kind (mmm_framework.config.SpecChange attribute) (mmm_framework.diagnostics.coverage.RecoveryTargetStat attribute) (mmm_framework.eda.OutlierFlag attribute) (mmm_framework.estimands.spec.Estimand attribute) (mmm_framework.estimands.spec.EstimandResult attribute) (mmm_framework.estimands.spec.Summary attribute) (mmm_framework.planning.simulation.Assignment attribute) (mmm_framework.planning.simulation.LiftInjector attribute) knowledge_gradient() (in module mmm_framework.continuous_learning.planner) kpi (mmm_framework.config.MFFConfig attribute) KPI (mmm_framework.config.VariableRole attribute) (mmm_framework.dag_model_builder.dag_spec.NodeType attribute) kpi (mmm_framework.datasets.ExampleSpec attribute) (mmm_framework.eda.EDAPanel attribute) (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) kpi_delta_median (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) kpi_delta_p5 (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) kpi_delta_p95 (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) kpi_delta_with_carryover_median (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) kpi_kind (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) kpi_level (mmm_framework.validation.spec_curve.SpecVariant attribute) kpi_national (mmm_framework.planning.simulation.SimPanel attribute) kpi_nodes (mmm_framework.dag_model_builder.dag_spec.DAGSpec property) kpi_wide (mmm_framework.planning.simulation.SimPanel attribute) KPIConfig (class in mmm_framework.config) KPIConfigBuilder (class in mmm_framework.builders.variable) KPINodeConfig (class in mmm_framework.dag_model_builder.node_configs) ks_pvalue (mmm_framework.validation.calibration.LooPitResult attribute) (mmm_framework.validation.calibration.SBCResult attribute) ks_stat (mmm_framework.validation.calibration.LooPitResult attribute) L L (mmm_framework.diagnostics.coverage.RecoveryCoverageResult attribute) (mmm_framework.diagnostics.sbc.SBCParamStat attribute) (mmm_framework.diagnostics.sbc.SBCResult attribute) l_max (mmm_framework.config.AdstockConfig attribute) (mmm_framework.mmm_extensions.config.AdstockConfig attribute) label (mmm_framework.continuous_learning.acquisition.Transform attribute) (mmm_framework.dag_model_builder.dag_spec.DAGNode attribute) lag (mmm_framework.mmm_extensions.config.CrossEffectConfig attribute) lagged() (mmm_framework.mmm_extensions.builders.CrossEffectConfigBuilder method) lam_prior (mmm_framework.config.SaturationConfig attribute) lam_prior_alpha (mmm_framework.mmm_extensions.config.SaturationConfig attribute) lam_prior_beta (mmm_framework.mmm_extensions.config.SaturationConfig attribute) LAPLACE (mmm_framework.config.FitMethod attribute) laplace() (mmm_framework.builders.model.ModelConfigBuilder method) laplace_knowledge_gradient() (in module mmm_framework.continuous_learning.acquisition) large_number_format (mmm_framework.reporting.config.ReportConfig attribute) lasso (mmm_framework.mmm_extensions.config.VariableSelectionConfig attribute) lasso() (mmm_framework.builders.model.ControlSelectionConfigBuilder method) LassoConfig (class in mmm_framework.mmm_extensions.config) LassoConfigBuilder (class in mmm_framework.mmm_extensions.builders) LATENT (mmm_framework.mmm_extensions.config.MediatorLikelihood attribute) latent_demand_factor() (in module mmm_framework.mmm_extensions.builders) latent_estimands_title (mmm_framework.reporting.extractors.MMMDataBundle attribute) latent_factors (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.mmm_extensions.config.MediatorSpec attribute) (mmm_framework.mmm_extensions.config.StructuralNestedConfig attribute) latent_scalar() (in module mmm_framework.estimands.registry) latent_section_title (mmm_framework.reporting.extractors.MMMDataBundle attribute) latent_table_title (mmm_framework.reporting.extractors.MMMDataBundle attribute) LatentFactorSpec (class in mmm_framework.mmm_extensions.config) LatentVar (class in mmm_framework.estimands.spec) latest_budget_plan_for_project() (in module mmm_framework.platform.sessions) latest_calibrated_evidence() (in module mmm_framework.platform.sessions) latest_model_run_payload() (in module mmm_framework.platform.history) latest_pacing_alert() (in module mmm_framework.platform.pacing) learning_to_cost_basis (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) learning_to_cost_ratio (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) LearningState (class in mmm_framework.continuous_learning.loop) legend_position (mmm_framework.reporting.config.ChartConfig attribute) level (mmm_framework.diagnostics.coverage.CoverageLevelStat attribute) level_shift_min_run (mmm_framework.eda.OutlierConfig attribute) level_shift_threshold (mmm_framework.eda.OutlierConfig attribute) level_shift_window (mmm_framework.eda.OutlierConfig attribute) levels (mmm_framework.diagnostics.coverage.RecoveryCoverageResult attribute) (mmm_framework.diagnostics.coverage.RecoveryTargetStat attribute) levers (mmm_framework.model.results.ComponentDecomposition attribute) lift_prior_sigma (mmm_framework.config.PromoConfig attribute) LiftInjector (class in mmm_framework.planning.simulation) likelihood (mmm_framework.config.ModelConfig attribute) (mmm_framework.continuous_learning.loop.LearningState attribute) (mmm_framework.continuous_learning.model.Posterior attribute) (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.mmm_extensions.config.AggregatedSurveyConfig attribute) (mmm_framework.mmm_extensions.config.MediatorMeasurement attribute) LikelihoodConfig (class in mmm_framework.config) LikelihoodFamily (class in mmm_framework.config) likert_mediator() (in module mmm_framework.mmm_extensions.builders) LINEAR (mmm_framework.model.trend_config.TrendType attribute) linear() (mmm_framework.builders.model.TrendConfigBuilder method) LinearTrendStrategy (class in mmm_framework.model.components.trend) link (mmm_framework.config.LikelihoodConfig attribute) LinkFunction (class in mmm_framework.config) list_analysis_plans() (in module mmm_framework.platform.sessions) list_artifacts() (in module mmm_framework.platform.sessions) list_assumptions() (in module mmm_framework.platform.sessions) list_budget_plans() (in module mmm_framework.platform.sessions) list_data_connections() (in module mmm_framework.platform.sessions) list_delivery() (in module mmm_framework.platform.sessions) list_due_data_connections() (in module mmm_framework.platform.sessions) list_examples() (in module mmm_framework.datasets) list_experiments() (in module mmm_framework.platform.sessions) list_files() (in module mmm_framework.platform.sessions) list_garden_models() (in module mmm_framework.platform.sessions) list_garden_versions() (in module mmm_framework.platform.sessions) list_jobs() (mmm_framework.jobs.JobManager method) list_kb_documents() (in module mmm_framework.platform.sessions) list_learning_programs() (in module mmm_framework.platform.sessions) list_learning_waves() (in module mmm_framework.platform.sessions) list_platform_figures() (in module mmm_framework.platform.sessions) list_preferences() (in module mmm_framework.platform.sessions) list_project_members() (in module mmm_framework.platform.sessions) list_projects() (in module mmm_framework.platform.sessions) list_run_metrics() (in module mmm_framework.platform.sessions) list_sessions() (in module mmm_framework.platform.sessions) list_signoffs() (in module mmm_framework.platform.sessions) list_users() (in module mmm_framework.platform.sessions) lkj_eta (mmm_framework.mmm_extensions.config.MultivariateModelConfig attribute) load() (mmm_framework.data_loader.MFFLoader method) (mmm_framework.data_loader.RaggedMFFLoader method) (mmm_framework.mmm_extensions.models.base.BaseExtendedMMM class method) (mmm_framework.model.base.BayesianMMM class method) (mmm_framework.serialization.MMMSerializer class method) load_design_frame() (in module mmm_framework.planning.design) load_eda_panel() (in module mmm_framework.eda) load_eda_panel_from_df() (in module mmm_framework.eda) load_example() (in module mmm_framework.datasets) load_example_answer_key() (in module mmm_framework.datasets) load_job_results() (mmm_framework.jobs.JobManager method) load_mff() (in module mmm_framework.data_loader) load_ragged_mff() (in module mmm_framework.data_loader) load_trace_only() (mmm_framework.model.base.BayesianMMM method) (mmm_framework.serialization.MMMSerializer class method) local_df (mmm_framework.mmm_extensions.config.HorseshoeConfig attribute) local_shrinkage (mmm_framework.mmm_extensions.components.variable_selection.VariableSelectionResult attribute) (mmm_framework.mmm_extensions.components.VariableSelectionResult attribute) lock_analysis_plan() (in module mmm_framework.platform.sessions) LOG (mmm_framework.config.LinkFunction attribute) LOG_NORMAL (mmm_framework.config.PriorType attribute) log_normal() (mmm_framework.builders.prior.PriorConfigBuilder method) log_ratio_cov (mmm_framework.calibration.likelihood.ShareMeasurement attribute) log_transform (mmm_framework.config.KPIConfig attribute) (mmm_framework.dag_model_builder.node_configs.KPINodeConfig attribute) (mmm_framework.dag_model_builder.node_configs.OutcomeNodeConfig attribute) LOGISTIC (mmm_framework.config.SaturationType attribute) logistic() (in module mmm_framework.continuous_learning.surface) (mmm_framework.builders.prior.SaturationConfigBuilder method) (mmm_framework.config.SaturationConfig class method) (mmm_framework.mmm_extensions.builders.SaturationConfigBuilder method) logistic_saturation() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.transforms.saturation) logistic_saturation_pt() (in module mmm_framework.mmm_extensions.components.transforms) LOGIT (mmm_framework.config.LinkFunction attribute) LOGNORMAL (mmm_framework.config.LikelihoodFamily attribute) lognormal_sigma_from_moments() (in module mmm_framework.calibration.likelihood) long_term (mmm_framework.reporting.config.ReportConfig attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) long_term_multiplier (mmm_framework.reporting.config.ReportConfig attribute) LongTermSection (class in mmm_framework.reporting.sections) loo (mmm_framework.validation.spec_curve.SpecFit attribute) loo_pit_check() (in module mmm_framework.validation.calibration) LooPitResult (class in mmm_framework.validation.calibration) loss_threshold (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) low_information (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) M main() (in module mmm_framework.platform.backfill) (in module mmm_framework.platform.backup) make_awareness_survey() (in module mmm_framework.synth.mff) make_world() (in module mmm_framework.continuous_learning.dgp) make_world_hill_mixture() (in module mmm_framework.continuous_learning.dgp) make_world_logistic() (in module mmm_framework.continuous_learning.dgp) MAP (mmm_framework.config.FitMethod attribute) map_channels_to_mediator() (mmm_framework.mmm_extensions.builders.CombinedModelConfigBuilder method) (mmm_framework.mmm_extensions.builders.NestedModelConfigBuilder method) map_fit() (mmm_framework.builders.model.ModelConfigBuilder method) map_mediator_to_outcomes() (mmm_framework.mmm_extensions.builders.CombinedModelConfigBuilder method) mape (mmm_framework.jobs.JobResult attribute) (mmm_framework.validation.backtest.BacktestResult property) margin (mmm_framework.reporting.config.ChartConfig attribute) margin_per_kpi (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) margin_source (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) marginal_contribution (mmm_framework.analysis.MarginalAnalysisResult attribute) marginal_contribution_hdi_high (mmm_framework.analysis.MarginalAnalysisResult attribute) marginal_contribution_hdi_low (mmm_framework.analysis.MarginalAnalysisResult attribute) marginal_returns (mmm_framework.reporting.config.ReportConfig attribute) marginal_roas (mmm_framework.analysis.MarginalAnalysisResult attribute) marginal_roas() (in module mmm_framework.continuous_learning.planner) marginal_roas_hdi_high (mmm_framework.analysis.MarginalAnalysisResult attribute) marginal_roas_hdi_low (mmm_framework.analysis.MarginalAnalysisResult attribute) MarginalAnalysisResult (class in mmm_framework.analysis) MarginalSpend (class in mmm_framework.estimands.spec) marketing_attributed_revenue (mmm_framework.reporting.extractors.MMMDataBundle attribute) marketing_contribution_pct (mmm_framework.reporting.extractors.MMMDataBundle attribute) mase_scales (mmm_framework.validation.backtest.BacktestResult attribute) matched_pairs() (in module mmm_framework.planning.design) max_detectable_cpa() (in module mmm_framework.planning.cpa) max_origins (mmm_framework.validation.backtest.BacktestConfig attribute) max_rhat (mmm_framework.continuous_learning.loop.WaveRecord attribute) max_series_per_chart (mmm_framework.eda.EDAConfig attribute) mde_ci (mmm_framework.planning.simulation.ABResult attribute) mde_method (mmm_framework.planning.simulation.ABResult attribute) mde_roas (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) mean (mmm_framework.estimands.spec.EstimandResult attribute) (mmm_framework.mmm_extensions.results.CrossEffectSummary attribute) (mmm_framework.utils.standardization.StandardizationParams attribute) mean_norm_rank (mmm_framework.diagnostics.sbc.SBCParamStat attribute) mean_post_sd (mmm_framework.diagnostics.coverage.RecoveryTargetStat attribute) measured_in() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) measurement (mmm_framework.mmm_extensions.config.MediatorSpec attribute) measurement_unit (mmm_framework.config.MediaChannelConfig attribute) MeasurementUnit (class in mmm_framework.config) MEDIA (mmm_framework.config.VariableRole attribute) (mmm_framework.dag_model_builder.dag_spec.NodeType attribute) media (mmm_framework.datasets.ExampleSpec attribute) (mmm_framework.eda.EDAPanel attribute) media_by_channel (mmm_framework.model.results.ComponentDecomposition attribute) media_channels (mmm_framework.config.MFFConfig attribute) media_effect (mmm_framework.mmm_extensions.config.MediatorConfig attribute) (mmm_framework.mmm_extensions.config.MediatorSpec attribute) (mmm_framework.mmm_extensions.config.OutcomeConfig attribute) media_effect_constraint (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.mmm_extensions.config.MediatorConfigExtended attribute) media_effect_sigma (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.dag_model_builder.node_configs.OutcomeNodeConfig attribute) (mmm_framework.mmm_extensions.config.MediatorConfigExtended attribute) media_geo_sigma (mmm_framework.config.HierarchicalConfig attribute) media_max (mmm_framework.data_preparation.ScalingParameters attribute) media_names (mmm_framework.config.MFFConfig property) media_nodes (mmm_framework.dag_model_builder.dag_spec.DAGSpec property) media_prior_mode (mmm_framework.config.ModelConfig attribute) (mmm_framework.validation.spec_curve.SpecVariant attribute) media_roi_prior_mu (mmm_framework.config.ModelConfig attribute) media_roi_prior_sigma (mmm_framework.config.ModelConfig attribute) media_stats (mmm_framework.data_loader.PanelDataset attribute) media_summary() (mmm_framework.model.results.ComponentDecomposition method) media_to_mediator_map (mmm_framework.mmm_extensions.config.NestedModelConfig attribute) media_total (mmm_framework.model.results.ComponentDecomposition attribute) MediaChannelConfig (class in mmm_framework.config) MediaChannelConfigBuilder (class in mmm_framework.builders.variable) MediaNodeConfig (class in mmm_framework.dag_model_builder.node_configs) MEDIATED (mmm_framework.dag_model_builder.dag_spec.EdgeType attribute) MediationEffects (class in mmm_framework.mmm_extensions.results) MEDIATOR (mmm_framework.config.CausalControlRole attribute) (mmm_framework.dag_model_builder.dag_spec.NodeType attribute) mediator_effect_sigma (mmm_framework.mmm_extensions.config.LatentFactorSpec attribute) mediator_effects (mmm_framework.reporting.extractors.MMMDataBundle attribute) mediator_names (mmm_framework.reporting.extractors.MMMDataBundle attribute) mediator_nodes (mmm_framework.dag_model_builder.dag_spec.DAGSpec property) mediator_pathways (mmm_framework.reporting.extractors.MMMDataBundle attribute) mediator_time_series (mmm_framework.reporting.extractors.MMMDataBundle attribute) mediator_to_outcome_map (mmm_framework.mmm_extensions.config.CombinedModelConfig attribute) mediator_type (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.mmm_extensions.config.MediatorConfig attribute) MediatorConfig (class in mmm_framework.mmm_extensions.config) MediatorConfigBuilder (class in mmm_framework.mmm_extensions.builders) MediatorConfigBuilderExtended (class in mmm_framework.mmm_extensions.builders) MediatorConfigExtended (class in mmm_framework.mmm_extensions.config) MediatorDynamics (class in mmm_framework.mmm_extensions.config) MediatorLikelihood (class in mmm_framework.mmm_extensions.config) MediatorMeasurement (class in mmm_framework.mmm_extensions.config) MediatorNodeConfig (class in mmm_framework.dag_model_builder.node_configs) MediatorObservationType (class in mmm_framework.mmm_extensions.config) mediators (mmm_framework.mmm_extensions.config.NestedModelConfig attribute) (mmm_framework.mmm_extensions.config.StructuralNestedConfig attribute) (mmm_framework.reporting.config.ReportConfig attribute) MediatorSection (class in mmm_framework.reporting.sections) MediatorSpec (class in mmm_framework.mmm_extensions.config) MediatorType (class in mmm_framework.mmm_extensions.config) MediaTransformResult (class in mmm_framework.mmm_extensions.components) message (mmm_framework.eda.ValidationIssue attribute) (mmm_framework.jobs.JobProgress attribute) meta (mmm_framework.config.RoleBinding attribute) metadata (mmm_framework.dag_model_builder.dag_spec.DAGEdge attribute) (mmm_framework.dag_model_builder.dag_spec.DAGSpec attribute) method (mmm_framework.config.ControlSelectionConfig attribute) (mmm_framework.eda.DecompositionResult attribute) (mmm_framework.mmm_extensions.config.VariableSelectionConfig attribute) methodology (mmm_framework.reporting.config.ReportConfig attribute) methodology_leaderboard() (in module mmm_framework.planning.simulation) methodology_note (mmm_framework.reporting.config.ReportConfig attribute) MethodologySection (class in mmm_framework.reporting.sections) methods (mmm_framework.eda.OutlierConfig attribute) (mmm_framework.eda.OutlierFlag attribute) mff_from_wide_format() (in module mmm_framework.data_loader) MFFColumnConfig (class in mmm_framework.config) MFFColumnConfigBuilder (class in mmm_framework.builders.mff) MFFConfig (class in mmm_framework.config) MFFConfigBuilder (class in mmm_framework.builders.mff) MFFLoader (class in mmm_framework.data_loader) MFFValidationError MICHAELIS_MENTEN (mmm_framework.config.SaturationType attribute) michaelis_menten() (mmm_framework.builders.prior.SaturationConfigBuilder method) (mmm_framework.config.SaturationConfig class method) min_obs_per_param (mmm_framework.eda.DataValidationConfig attribute) min_train_size (mmm_framework.validation.backtest.BacktestConfig attribute) MIN_WEEKS (in module mmm_framework.synth.mff) minify_html (mmm_framework.reporting.config.ReportConfig attribute) minimal() (mmm_framework.reporting.config.ReportConfig class method) minimal_report() (mmm_framework.reporting.generator.ReportBuilder method) miscalibration (mmm_framework.diagnostics.sbc.SBCParamStat attribute) miscalibration_score() (in module mmm_framework.diagnostics.sbc) missing_capabilities() (in module mmm_framework.estimands.capabilities) missing_error_pct (mmm_framework.eda.DataValidationConfig attribute) missing_warn_pct (mmm_framework.eda.DataValidationConfig attribute) missingness_matrix() (in module mmm_framework.eda) mmm_framework.analysis module, [1] mmm_framework.builders module mmm_framework.builders.base module mmm_framework.builders.mff module mmm_framework.builders.model module mmm_framework.builders.prior module mmm_framework.builders.variable module mmm_framework.calibration module mmm_framework.calibration.likelihood module mmm_framework.config module, [1] mmm_framework.continuous_learning module mmm_framework.continuous_learning.acquisition module mmm_framework.continuous_learning.design module mmm_framework.continuous_learning.dgp module mmm_framework.continuous_learning.loop module mmm_framework.continuous_learning.model module mmm_framework.continuous_learning.planner module mmm_framework.continuous_learning.surface module mmm_framework.dag_model_builder module mmm_framework.dag_model_builder.builder module mmm_framework.dag_model_builder.config_translator module mmm_framework.dag_model_builder.dag_spec module mmm_framework.dag_model_builder.frontend_adapter module mmm_framework.dag_model_builder.model_type_resolver module mmm_framework.dag_model_builder.node_configs module mmm_framework.dag_model_builder.validation module mmm_framework.data_loader module, [1] mmm_framework.data_preparation module mmm_framework.datasets module, [1] mmm_framework.diagnostics module mmm_framework.diagnostics.coverage module mmm_framework.diagnostics.learning module mmm_framework.diagnostics.sbc module mmm_framework.diagnostics.snapshot module mmm_framework.eda module, [1] mmm_framework.estimands module mmm_framework.estimands.capabilities module mmm_framework.estimands.evaluate module mmm_framework.estimands.graph module mmm_framework.estimands.registry module mmm_framework.estimands.spec module mmm_framework.garden module mmm_framework.garden.compat module mmm_framework.garden.contract module mmm_framework.jobs module, [1] mmm_framework.ltv module, [1] mmm_framework.mmm_extensions module mmm_framework.mmm_extensions.builders module mmm_framework.mmm_extensions.builders_base module mmm_framework.mmm_extensions.components module mmm_framework.mmm_extensions.components.cross_effects module mmm_framework.mmm_extensions.components.transforms module mmm_framework.mmm_extensions.components.variable_selection module mmm_framework.mmm_extensions.config module mmm_framework.mmm_extensions.models.base module mmm_framework.mmm_extensions.models.combined module mmm_framework.mmm_extensions.models.multivariate module mmm_framework.mmm_extensions.models.nested module mmm_framework.mmm_extensions.results module mmm_framework.model module mmm_framework.model.base module mmm_framework.model.components.trend module mmm_framework.model.results module mmm_framework.model.trend_config module mmm_framework.planning module mmm_framework.planning.cpa module mmm_framework.planning.design module mmm_framework.planning.design_anchor module mmm_framework.planning.eig module mmm_framework.planning.evoi module mmm_framework.planning.experiment_optimizer module mmm_framework.planning.history module mmm_framework.planning.identification module mmm_framework.planning.opportunity_cost module mmm_framework.planning.pacing module mmm_framework.planning.priority module mmm_framework.planning.simulation module mmm_framework.platform module mmm_framework.platform.backfill module mmm_framework.platform.backup module mmm_framework.platform.estimands module mmm_framework.platform.history module mmm_framework.platform.pacing module mmm_framework.platform.runs module mmm_framework.platform.scorecard module mmm_framework.platform.sessions module mmm_framework.platform.triangulation module mmm_framework.reporting module mmm_framework.reporting.charts.decomposition module mmm_framework.reporting.charts.diagnostic module mmm_framework.reporting.charts.fit module mmm_framework.reporting.charts.roi module mmm_framework.reporting.config module mmm_framework.reporting.extractors module mmm_framework.reporting.generator module mmm_framework.reporting.helpers.decomposition module mmm_framework.reporting.helpers.roi module mmm_framework.reporting.helpers.summary module mmm_framework.reporting.sections module mmm_framework.serialization module, [1] mmm_framework.synth module mmm_framework.synth.dgp module mmm_framework.synth.dgp_geo module mmm_framework.synth.mff module mmm_framework.transforms module mmm_framework.transforms.adstock module mmm_framework.transforms.saturation module mmm_framework.transforms.seasonality module mmm_framework.transforms.trend module mmm_framework.utils module mmm_framework.utils.arviz_compat module mmm_framework.utils.standardization module mmm_framework.utils.statistics module mmm_framework.validation module mmm_framework.validation.backtest module mmm_framework.validation.calibration module mmm_framework.validation.channel_diagnostics module mmm_framework.validation.spec_curve module MMMAnalyzer (class in mmm_framework.analysis) MMMDataBundle (class in mmm_framework.reporting.extractors) MMMReportGenerator (class in mmm_framework.reporting.generator) MMMResults (class in mmm_framework.model.results) MMMSerializer (class in mmm_framework.serialization) mode (mmm_framework.continuous_learning.loop.LearningState attribute) (mmm_framework.continuous_learning.planner.PlanResult attribute) (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) model (mmm_framework.mmm_extensions.models.base.BaseExtendedMMM property) (mmm_framework.mmm_extensions.results.ModelResults attribute) (mmm_framework.model.base.BayesianMMM property) (mmm_framework.model.results.MMMResults attribute) (mmm_framework.reporting.extractors.HasModel property) model() (in module mmm_framework.continuous_learning.model) model_anchored_effect() (in module mmm_framework.planning.design_anchor) model_capabilities() (in module mmm_framework.estimands.capabilities) (mmm_framework.estimands.spec.SupportsEstimands method) (mmm_framework.model.base.BayesianMMM method) model_config (mmm_framework.dag_model_builder.dag_spec.DAGEdge attribute) (mmm_framework.dag_model_builder.dag_spec.DAGNode attribute) (mmm_framework.dag_model_builder.dag_spec.DAGSpec attribute) (mmm_framework.dag_model_builder.node_configs.ControlNodeConfig attribute) (mmm_framework.dag_model_builder.node_configs.KPINodeConfig attribute) (mmm_framework.dag_model_builder.node_configs.MediaNodeConfig attribute) (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.dag_model_builder.node_configs.OutcomeNodeConfig attribute) (mmm_framework.estimands.spec.Constant attribute) (mmm_framework.estimands.spec.Contrast attribute) (mmm_framework.estimands.spec.Contribution attribute) (mmm_framework.estimands.spec.CustomIntervention attribute) (mmm_framework.estimands.spec.Estimand attribute) (mmm_framework.estimands.spec.EstimandResult attribute) (mmm_framework.estimands.spec.LatentVar attribute) (mmm_framework.estimands.spec.MarginalSpend attribute) (mmm_framework.estimands.spec.Observed attribute) (mmm_framework.estimands.spec.ObservedInput attribute) (mmm_framework.estimands.spec.Outcome attribute) (mmm_framework.estimands.spec.Realization attribute) (mmm_framework.estimands.spec.ScaleInput attribute) (mmm_framework.estimands.spec.SetInput attribute) (mmm_framework.estimands.spec.Summary attribute) (mmm_framework.estimands.spec.TimeWindow attribute) (mmm_framework.estimands.spec.ZeroInput attribute) (mmm_framework.validation.spec_curve.SpecSet attribute) (mmm_framework.validation.spec_curve.SpecVariant attribute) model_fit (mmm_framework.reporting.config.ReportConfig attribute) model_kind (mmm_framework.reporting.extractors.MMMDataBundle attribute) model_kind() (in module mmm_framework.garden.contract) model_specification (mmm_framework.reporting.extractors.MMMDataBundle attribute) model_version (mmm_framework.reporting.config.ReportConfig attribute) ModelConfig (class in mmm_framework.config) ModelConfigBuilder (class in mmm_framework.builders.model) ModelFitSection (class in mmm_framework.reporting.sections) ModelResults (class in mmm_framework.mmm_extensions.results) ModelSpecification (class in mmm_framework.config) ModelType (class in mmm_framework.dag_model_builder.model_type_resolver) modulated_by_promotion() (mmm_framework.mmm_extensions.builders.CrossEffectConfigBuilder method) module mmm_framework.analysis, [1] mmm_framework.builders mmm_framework.builders.base mmm_framework.builders.mff mmm_framework.builders.model mmm_framework.builders.prior mmm_framework.builders.variable mmm_framework.calibration mmm_framework.calibration.likelihood mmm_framework.config, [1] mmm_framework.continuous_learning mmm_framework.continuous_learning.acquisition mmm_framework.continuous_learning.design mmm_framework.continuous_learning.dgp mmm_framework.continuous_learning.loop mmm_framework.continuous_learning.model mmm_framework.continuous_learning.planner mmm_framework.continuous_learning.surface mmm_framework.dag_model_builder mmm_framework.dag_model_builder.builder mmm_framework.dag_model_builder.config_translator mmm_framework.dag_model_builder.dag_spec mmm_framework.dag_model_builder.frontend_adapter mmm_framework.dag_model_builder.model_type_resolver mmm_framework.dag_model_builder.node_configs mmm_framework.dag_model_builder.validation mmm_framework.data_loader, [1] mmm_framework.data_preparation mmm_framework.datasets, [1] mmm_framework.diagnostics mmm_framework.diagnostics.coverage mmm_framework.diagnostics.learning mmm_framework.diagnostics.sbc mmm_framework.diagnostics.snapshot mmm_framework.eda, [1] mmm_framework.estimands mmm_framework.estimands.capabilities mmm_framework.estimands.evaluate mmm_framework.estimands.graph mmm_framework.estimands.registry mmm_framework.estimands.spec mmm_framework.garden mmm_framework.garden.compat mmm_framework.garden.contract mmm_framework.jobs, [1] mmm_framework.ltv, [1] mmm_framework.mmm_extensions mmm_framework.mmm_extensions.builders mmm_framework.mmm_extensions.builders_base mmm_framework.mmm_extensions.components mmm_framework.mmm_extensions.components.cross_effects mmm_framework.mmm_extensions.components.transforms mmm_framework.mmm_extensions.components.variable_selection mmm_framework.mmm_extensions.config mmm_framework.mmm_extensions.models.base mmm_framework.mmm_extensions.models.combined mmm_framework.mmm_extensions.models.multivariate mmm_framework.mmm_extensions.models.nested mmm_framework.mmm_extensions.results mmm_framework.model mmm_framework.model.base mmm_framework.model.components.trend mmm_framework.model.results mmm_framework.model.trend_config mmm_framework.planning mmm_framework.planning.cpa mmm_framework.planning.design mmm_framework.planning.design_anchor mmm_framework.planning.eig mmm_framework.planning.evoi mmm_framework.planning.experiment_optimizer mmm_framework.planning.history mmm_framework.planning.identification mmm_framework.planning.opportunity_cost mmm_framework.planning.pacing mmm_framework.planning.priority mmm_framework.planning.simulation mmm_framework.platform mmm_framework.platform.backfill mmm_framework.platform.backup mmm_framework.platform.estimands mmm_framework.platform.history mmm_framework.platform.pacing mmm_framework.platform.runs mmm_framework.platform.scorecard mmm_framework.platform.sessions mmm_framework.platform.triangulation mmm_framework.reporting mmm_framework.reporting.charts.decomposition mmm_framework.reporting.charts.diagnostic mmm_framework.reporting.charts.fit mmm_framework.reporting.charts.roi mmm_framework.reporting.config mmm_framework.reporting.extractors mmm_framework.reporting.generator mmm_framework.reporting.helpers.decomposition mmm_framework.reporting.helpers.roi mmm_framework.reporting.helpers.summary mmm_framework.reporting.sections mmm_framework.serialization, [1] mmm_framework.synth mmm_framework.synth.dgp mmm_framework.synth.dgp_geo mmm_framework.synth.mff mmm_framework.transforms mmm_framework.transforms.adstock mmm_framework.transforms.saturation mmm_framework.transforms.seasonality mmm_framework.transforms.trend mmm_framework.utils mmm_framework.utils.arviz_compat mmm_framework.utils.standardization mmm_framework.utils.statistics mmm_framework.validation mmm_framework.validation.backtest mmm_framework.validation.calibration mmm_framework.validation.channel_diagnostics mmm_framework.validation.spec_curve MONOCHROME (mmm_framework.reporting.config.ColorPalette attribute) monotone_spline() (in module mmm_framework.continuous_learning.surface) monotone_spline_basis() (in module mmm_framework.continuous_learning.surface) monthly (mmm_framework.config.SeasonalityConfig attribute) monthly() (mmm_framework.builders.mff.MFFConfigBuilder method) monthly_in_weekly_model() (mmm_framework.mmm_extensions.builders.AggregatedSurveyConfigBuilder method) monthly_prior_sigma (mmm_framework.config.SeasonalityConfig attribute) MROAS (mmm_framework.calibration.likelihood.ExperimentEstimand attribute) mroas_draws (mmm_framework.continuous_learning.planner.PlanResult attribute) mroas_mean (mmm_framework.continuous_learning.loop.WaveRecord attribute) (mmm_framework.continuous_learning.planner.PlanResult attribute) MSPLINE_J (in module mmm_framework.continuous_learning.surface) mu (mmm_framework.mmm_extensions.config.EffectPriorConfig attribute) (mmm_framework.synth.dgp.Scenario attribute) mu_prior (mmm_framework.config.HierarchicalConfig attribute) MULTIPLICATIVE (mmm_framework.config.ModelSpecification attribute) multiplicative() (mmm_framework.builders.model.ModelConfigBuilder method) (mmm_framework.builders.variable.KPIConfigBuilder method) multivariate (mmm_framework.mmm_extensions.config.CombinedModelConfig attribute) MULTIVARIATE_MMM (mmm_framework.dag_model_builder.model_type_resolver.ModelType attribute) MultivariateMMM (class in mmm_framework.mmm_extensions.models.multivariate) MultivariateModelConfig (class in mmm_framework.mmm_extensions.config) MultivariateModelConfigBuilder (class in mmm_framework.mmm_extensions.builders) N n (mmm_framework.diagnostics.coverage.CoverageLevelStat attribute) (mmm_framework.validation.calibration.LooPitResult attribute) n_bins (mmm_framework.diagnostics.sbc.SBCParamStat attribute) (mmm_framework.diagnostics.sbc.SBCResult attribute) n_categories (mmm_framework.mmm_extensions.config.MediatorMeasurement attribute) n_chains (mmm_framework.config.ModelConfig attribute) (mmm_framework.jobs.JobConfig attribute) n_changepoints (mmm_framework.model.trend_config.TrendConfig attribute), [1] n_channels (mmm_framework.continuous_learning.dgp.TrueWorld property) (mmm_framework.continuous_learning.model.Posterior property) (mmm_framework.data_loader.PanelDataset property) (mmm_framework.data_preparation.PreparedData attribute) n_controls (mmm_framework.data_loader.PanelDataset property) (mmm_framework.data_preparation.PreparedData attribute) n_draws (mmm_framework.config.ModelConfig attribute) (mmm_framework.continuous_learning.model.Posterior property) (mmm_framework.jobs.JobConfig attribute) (mmm_framework.planning.evoi.EvoiResult attribute) (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) n_eff (mmm_framework.planning.simulation.EstimatorResult attribute) n_eff_windows (mmm_framework.planning.simulation.AAResult attribute) n_failed_fits (mmm_framework.diagnostics.coverage.RecoveryCoverageResult attribute) (mmm_framework.diagnostics.sbc.SBCResult attribute) n_geos (mmm_framework.data_loader.PanelCoordinates property) (mmm_framework.data_preparation.PreparedData attribute) n_knots (mmm_framework.model.trend_config.TrendConfig attribute), [1] n_obs (mmm_framework.analysis.MMMAnalyzer property) (mmm_framework.data_loader.PanelCoordinates property) (mmm_framework.data_loader.PanelDataset property) (mmm_framework.data_preparation.PreparedData attribute) (mmm_framework.model.results.PredictionResults property) n_origins (mmm_framework.validation.backtest.BacktestResult property) n_pairs (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) n_periods (mmm_framework.data_loader.PanelCoordinates property) (mmm_framework.data_preparation.PreparedData attribute) (mmm_framework.eda.DataValidationReport attribute) n_products (mmm_framework.data_loader.PanelCoordinates property) (mmm_framework.data_preparation.PreparedData attribute) n_rows (mmm_framework.continuous_learning.loop.WaveRecord attribute) n_samples (mmm_framework.model.results.PredictionResults property) (mmm_framework.validation.backtest.PosteriorForecaster property) n_sims (mmm_framework.diagnostics.coverage.RecoveryTargetStat attribute) (mmm_framework.diagnostics.sbc.SBCParamStat attribute) (mmm_framework.validation.calibration.SBCResult attribute) n_sims_effective (mmm_framework.diagnostics.coverage.RecoveryCoverageResult attribute) (mmm_framework.diagnostics.sbc.SBCResult attribute) n_sims_requested (mmm_framework.diagnostics.coverage.RecoveryCoverageResult attribute) (mmm_framework.diagnostics.sbc.SBCResult attribute) n_summaries (mmm_framework.continuous_learning.loop.WaveRecord attribute) n_test_rows (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) n_train_periods (mmm_framework.validation.backtest.TrendExtrapolation attribute) n_treated_cells (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) n_tune (mmm_framework.config.ModelConfig attribute) (mmm_framework.jobs.JobConfig attribute) n_variables (mmm_framework.eda.DataValidationReport attribute) n_windows (mmm_framework.planning.simulation.AAResult attribute) name (mmm_framework.calibration.likelihood.ExperimentMeasurement attribute) (mmm_framework.calibration.likelihood.ShareMeasurement attribute) (mmm_framework.config.ChannelInteraction property) (mmm_framework.config.EventSpec attribute) (mmm_framework.config.RoleBinding attribute) (mmm_framework.config.VariableConfig attribute) (mmm_framework.diagnostics.coverage.RecoveryTargetStat attribute) (mmm_framework.diagnostics.sbc.SBCParamStat attribute) (mmm_framework.estimands.spec.Estimand attribute) (mmm_framework.estimands.spec.EstimandResult attribute) (mmm_framework.estimands.spec.LatentVar attribute) (mmm_framework.estimands.spec.Summary attribute) (mmm_framework.jobs.JobConfig attribute) (mmm_framework.mmm_extensions.config.LatentFactorSpec attribute) (mmm_framework.mmm_extensions.config.MediatorConfig attribute) (mmm_framework.mmm_extensions.config.MediatorConfigExtended attribute) (mmm_framework.mmm_extensions.config.MediatorSpec attribute) (mmm_framework.mmm_extensions.config.OutcomeConfig attribute) (mmm_framework.synth.dgp.Scenario attribute) (mmm_framework.synth.dgp_geo.GeoScenario attribute) (mmm_framework.validation.spec_curve.SpecFit attribute) (mmm_framework.validation.spec_curve.SpecVariant attribute) names() (mmm_framework.validation.spec_curve.SpecSet method) names_for() (mmm_framework.config.DatasetSchema method) national() (mmm_framework.builders.base.VariableConfigBuilderMixin method) national_onoff_estimator() (in module mmm_framework.planning.simulation) national_scenario() (mmm_framework.synth.dgp_geo.GeoScenario method) near_constant_cv (mmm_framework.eda.DataValidationConfig attribute) NEGATIVE (mmm_framework.mmm_extensions.config.EffectConstraint attribute) negative() (mmm_framework.mmm_extensions.builders.EffectPriorConfigBuilder method) NEGATIVE_BINOMIAL (mmm_framework.config.LikelihoodFamily attribute) nested (mmm_framework.mmm_extensions.config.CombinedModelConfig attribute) NESTED_MMM (mmm_framework.dag_model_builder.model_type_resolver.ModelType attribute) NestedMMM (class in mmm_framework.mmm_extensions.models.nested) NestedModelConfig (class in mmm_framework.mmm_extensions.config) NestedModelConfigBuilder (class in mmm_framework.mmm_extensions.builders) net_product_effects (mmm_framework.reporting.extractors.MMMDataBundle attribute) net_profit_impact_median (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) net_profit_impact_p5 (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) net_profit_impact_p95 (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) net_value (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) net_value_basis (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) new (mmm_framework.config.SpecChange attribute) new_customer_clv_series() (in module mmm_framework.ltv) next_design() (mmm_framework.continuous_learning.loop.LearningState method) next_garden_version() (in module mmm_framework.platform.sessions) next_steps (mmm_framework.reporting.config.ReportConfig attribute) no_geo_pooling() (mmm_framework.builders.model.HierarchicalConfigBuilder method) no_product_pooling() (mmm_framework.builders.model.HierarchicalConfigBuilder method) no_seasonality() (mmm_framework.builders.model.SeasonalityConfigBuilder method) no_yearly() (mmm_framework.builders.model.SeasonalityConfigBuilder method) node_ids (mmm_framework.dag_model_builder.dag_spec.DAGSpec property) node_type (mmm_framework.dag_model_builder.dag_spec.DAGNode attribute) nodes (mmm_framework.dag_model_builder.dag_spec.DAGSpec attribute) NodeType (class in mmm_framework.dag_model_builder.dag_spec) noise_sigma (mmm_framework.mmm_extensions.config.MediatorMeasurement attribute) non_adaptive() (mmm_framework.mmm_extensions.builders.LassoConfigBuilder method) non_centered_threshold (mmm_framework.config.HierarchicalConfig attribute) NONE (mmm_framework.config.AdstockType attribute) (mmm_framework.config.SaturationType attribute) (mmm_framework.mmm_extensions.config.EffectConstraint attribute) (mmm_framework.mmm_extensions.config.VariableSelectionMethod attribute) (mmm_framework.model.trend_config.TrendType attribute) none() (mmm_framework.builders.model.ControlSelectionConfigBuilder method) (mmm_framework.builders.model.TrendConfigBuilder method) (mmm_framework.builders.prior.AdstockConfigBuilder method) (mmm_framework.builders.prior.SaturationConfigBuilder method) (mmm_framework.config.AdstockConfig class method) (mmm_framework.config.SaturationConfig class method) (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) nonmediated_effect (mmm_framework.mmm_extensions.config.StructuralNestedConfig attribute) NORMAL (mmm_framework.config.LikelihoodFamily attribute) (mmm_framework.config.PriorType attribute) (mmm_framework.mmm_extensions.config.AggregatedSurveyLikelihood attribute) normal() (mmm_framework.builders.prior.PriorConfigBuilder method) (mmm_framework.config.LikelihoodConfig class method) normal_approximation() (mmm_framework.mmm_extensions.builders.AggregatedSurveyConfigBuilder method) normalization_damage_ratio (mmm_framework.eda.OutlierConfig attribute) normalize (mmm_framework.config.AdstockConfig attribute) (mmm_framework.mmm_extensions.config.AdstockConfig attribute) normalize_pair_signs() (in module mmm_framework.continuous_learning.model) normalized_ranks (mmm_framework.validation.calibration.SBCResult attribute) normalized_ranks() (in module mmm_framework.diagnostics.sbc) notes (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) (mmm_framework.synth.dgp.Scenario attribute) (mmm_framework.synth.dgp_geo.GeoScenario attribute) nu_true (mmm_framework.continuous_learning.dgp.TrueWorld attribute) null_mean (mmm_framework.planning.simulation.AAResult attribute) null_method (mmm_framework.planning.simulation.AAResult attribute) null_sd (mmm_framework.planning.simulation.AAResult attribute) (mmm_framework.planning.simulation.ABResult attribute) numerator (mmm_framework.estimands.spec.Estimand attribute) NUTS (mmm_framework.config.FitMethod attribute) nuts_sampler (mmm_framework.config.ModelConfig property) O objectives() (mmm_framework.planning.experiment_optimizer.CandidateEval method) observation_noise_sigma (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.mmm_extensions.config.MediatorConfig attribute) (mmm_framework.mmm_extensions.config.MediatorConfigExtended attribute) observation_type (mmm_framework.mmm_extensions.config.MediatorConfigExtended attribute) observation_unit_info() (in module mmm_framework.continuous_learning.acquisition) Observed (class in mmm_framework.estimands.spec) ObservedInput (class in mmm_framework.estimands.spec) OFFSET (mmm_framework.config.DatasetRole attribute) old (mmm_framework.config.SpecChange attribute) on_pareto (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) op (mmm_framework.estimands.spec.Contrast attribute) op_ratio_zero_denominator (mmm_framework.estimands.spec.Estimand attribute) opportunity_cost_dollar_median (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) opportunity_cost_dollar_p95 (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) OpportunityCostResult (class in mmm_framework.planning.opportunity_cost) optim_maxiter (mmm_framework.config.ModelConfig attribute) optim_seed (mmm_framework.config.ModelConfig attribute) ORDERED (mmm_framework.mmm_extensions.config.MediatorLikelihood attribute) OTHER (mmm_framework.config.MeasurementUnit attribute) Outcome (class in mmm_framework.estimands.spec) outcome (mmm_framework.calibration.likelihood.ExperimentMeasurement attribute) OUTCOME (mmm_framework.dag_model_builder.dag_spec.NodeType attribute) outcome (mmm_framework.mmm_extensions.results.EffectDecomposition attribute) outcome_change (mmm_framework.analysis.ScenarioResult attribute) outcome_change_pct (mmm_framework.analysis.ScenarioResult attribute) outcome_controls (mmm_framework.mmm_extensions.config.StructuralNestedConfig attribute) outcome_correlations (mmm_framework.reporting.extractors.MMMDataBundle attribute) outcome_delta (mmm_framework.planning.pacing.PacingResult attribute) outcome_effect (mmm_framework.mmm_extensions.config.MediatorConfig attribute) (mmm_framework.mmm_extensions.config.MediatorSpec attribute) outcome_effect_sigma (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.mmm_extensions.config.LatentFactorSpec attribute) (mmm_framework.mmm_extensions.config.MediatorConfigExtended attribute) outcome_nodes (mmm_framework.dag_model_builder.dag_spec.DAGSpec property) OutcomeConfig (class in mmm_framework.mmm_extensions.config) OutcomeConfigBuilder (class in mmm_framework.mmm_extensions.builders) OutcomeNodeConfig (class in mmm_framework.dag_model_builder.node_configs) outcomes (mmm_framework.mmm_extensions.config.MultivariateModelConfig attribute) OUTLET (mmm_framework.config.DimensionType attribute) outlet (mmm_framework.config.MFFColumnConfig attribute) OutlierConfig (class in mmm_framework.eda) OutlierDetector (class in mmm_framework.eda) OutlierFlag (class in mmm_framework.eda) OutlierReport (class in mmm_framework.eda) over (mmm_framework.estimands.spec.Contrast attribute) overdispersion_prior_sigma (mmm_framework.mmm_extensions.config.AggregatedSurveyConfig attribute) overrides (mmm_framework.validation.spec_curve.SpecVariant attribute) P pacing (mmm_framework.reporting.config.ReportConfig attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) pacing_report() (in module mmm_framework.planning.pacing) PacingChannel (class in mmm_framework.planning.pacing) PacingResult (class in mmm_framework.planning.pacing) PacingSection (class in mmm_framework.reporting.sections) pair_name() (in module mmm_framework.continuous_learning.model) pair_signs (mmm_framework.continuous_learning.loop.LearningState attribute) (mmm_framework.continuous_learning.model.Posterior attribute) paired_seed (mmm_framework.estimands.spec.Contrast attribute) pairs (mmm_framework.continuous_learning.acquisition.ThetaMap attribute) (mmm_framework.continuous_learning.dgp.TrueWorld attribute) (mmm_framework.continuous_learning.loop.LearningState attribute) (mmm_framework.continuous_learning.model.Posterior attribute) (mmm_framework.planning.simulation.Assignment attribute) panel (mmm_framework.model.results.MMMResults attribute) panel() (mmm_framework.synth.dgp.Scenario method) (mmm_framework.synth.dgp_geo.GeoScenario method) PanelCoordinates (class in mmm_framework.data_loader) PanelDataset (class in mmm_framework.data_loader) param_names (mmm_framework.validation.calibration.SBCResult attribute) PARAM_PREFIXES (in module mmm_framework.garden.contract) parameter_learning() (in module mmm_framework.diagnostics.learning) parametric_adstock() (in module mmm_framework.transforms.adstock) parametric_adstock_pt() (in module mmm_framework.mmm_extensions.components.transforms) params (mmm_framework.config.LikelihoodConfig attribute) (mmm_framework.config.PriorConfig attribute) (mmm_framework.diagnostics.sbc.SBCResult attribute) (mmm_framework.eda.RemediationAction attribute) (mmm_framework.estimands.spec.CustomIntervention attribute) parent_channel (mmm_framework.config.MediaChannelConfig attribute) (mmm_framework.dag_model_builder.node_configs.MediaNodeConfig attribute) parent_effect (mmm_framework.mmm_extensions.config.MediatorSpec attribute) parent_effect_sigma (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) parents (mmm_framework.mmm_extensions.config.MediatorSpec attribute) pareto_front() (in module mmm_framework.planning.experiment_optimizer) parse_delivery_records() (in module mmm_framework.platform.pacing) parse_node_config() (in module mmm_framework.dag_model_builder.node_configs) parse_platform_records() (in module mmm_framework.platform.triangulation) PARTIALLY_OBSERVED (mmm_framework.mmm_extensions.config.MediatorObservationType attribute) (mmm_framework.mmm_extensions.config.MediatorType attribute) partially_observed() (mmm_framework.mmm_extensions.builders.MediatorConfigBuilder method) (mmm_framework.mmm_extensions.builders.MediatorConfigBuilderExtended method) passed (mmm_framework.eda.DataValidationReport property) path (mmm_framework.config.SpecChange attribute) PATHFINDER (mmm_framework.config.FitMethod attribute) pathfinder() (mmm_framework.builders.model.ModelConfigBuilder method) pct_of_window_kpi (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) PENDING (mmm_framework.jobs.JobStatus attribute) per_draw_total (mmm_framework.planning.simulation.LiftInjector attribute) per_draw_total_list (mmm_framework.planning.simulation.LiftInjector attribute) per_effect (mmm_framework.planning.simulation.ABResult attribute) per_pair_did_estimator() (in module mmm_framework.planning.simulation) per_variable (mmm_framework.eda.OutlierReport attribute) percent_complete (mmm_framework.jobs.JobProgress property) percentage_format (mmm_framework.reporting.config.ReportConfig attribute) PERIOD (mmm_framework.config.DimensionType attribute) period (mmm_framework.config.MFFColumnConfig attribute) (mmm_framework.eda.DecompositionResult attribute) (mmm_framework.eda.OutlierFlag attribute) periods (mmm_framework.data_loader.PanelCoordinates attribute) (mmm_framework.planning.pacing.PacingResult attribute) (mmm_framework.planning.simulation.SimPanel attribute) persist_run_metrics() (in module mmm_framework.platform.history) phi_true (mmm_framework.continuous_learning.dgp.TrueWorld attribute) pid (mmm_framework.jobs.Job attribute) PIECEWISE (mmm_framework.model.trend_config.TrendType attribute) piecewise() (mmm_framework.builders.model.TrendConfigBuilder method) PiecewiseTrendStrategy (class in mmm_framework.model.components.trend) pit (mmm_framework.validation.calibration.LooPitResult attribute) plan() (mmm_framework.continuous_learning.loop.LearningState method) plan_from_posterior() (in module mmm_framework.continuous_learning.planner) planned (mmm_framework.planning.pacing.PacingChannel attribute) planned_series (mmm_framework.planning.pacing.PacingChannel attribute) planned_total (mmm_framework.planning.pacing.PacingResult attribute) PlanResult (class in mmm_framework.continuous_learning.planner) platform_dict_for_project() (in module mmm_framework.platform.triangulation) plot_parameter_learning() (in module mmm_framework.diagnostics.learning) plot_posterior() (in module mmm_framework.utils.arviz_compat) (mmm_framework.mmm_extensions.results.ModelResults method) (mmm_framework.model.results.MMMResults method) plot_prior_posterior_overlay() (in module mmm_framework.diagnostics.learning) plot_trace() (mmm_framework.mmm_extensions.results.ModelResults method) (mmm_framework.model.results.MMMResults method) plotly_cdn_version (mmm_framework.reporting.config.ReportConfig attribute) point_rule (mmm_framework.estimands.spec.Realization attribute) point_to_idata() (in module mmm_framework.utils.arviz_compat) POISSON (mmm_framework.config.LikelihoodFamily attribute) policy (mmm_framework.validation.backtest.TrendExtrapolation attribute) pool_across_geo (mmm_framework.config.HierarchicalConfig attribute) pool_across_geo() (mmm_framework.builders.model.HierarchicalConfigBuilder method) pool_across_product (mmm_framework.config.HierarchicalConfig attribute) pool_across_product() (mmm_framework.builders.model.HierarchicalConfigBuilder method) pool_geo (mmm_framework.jobs.JobConfig attribute) pooled_channels (mmm_framework.reporting.extractors.MMMDataBundle attribute) pooled_did_estimator() (in module mmm_framework.planning.simulation) POPULATION (mmm_framework.config.AllocationMethod attribute) POSITIVE (mmm_framework.mmm_extensions.config.EffectConstraint attribute) positive() (mmm_framework.mmm_extensions.builders.EffectPriorConfigBuilder method) positive_only() (mmm_framework.builders.variable.ControlVariableConfigBuilder method) post_weeks (mmm_framework.config.EventSpec attribute) Posterior (class in mmm_framework.continuous_learning.model) posterior (mmm_framework.continuous_learning.loop.LearningState attribute) posterior_from_dict() (in module mmm_framework.utils.arviz_compat) posterior_optimal_allocation() (in module mmm_framework.continuous_learning.planner) posterior_predictive (mmm_framework.model.results.PredictionResults attribute) (mmm_framework.reporting.config.ReportConfig attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) posterior_samples (mmm_framework.reporting.extractors.MMMDataBundle attribute) PosteriorForecaster (class in mmm_framework.validation.backtest) PosteriorPredictiveSection (class in mmm_framework.reporting.sections) power (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) power_at_expected (mmm_framework.planning.simulation.ABResult attribute) power_breakdown (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) power_lower (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) power_shortfall (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) power_target (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) powered (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) powered_to_detect() (in module mmm_framework.planning.design_anchor) ppc_timeseries (mmm_framework.reporting.config.ReportConfig attribute) pre_slice (mmm_framework.planning.simulation.Window attribute) pre_weeks (mmm_framework.config.EventSpec attribute) PRECISION_CONTROL (mmm_framework.config.CausalControlRole attribute) predict() (mmm_framework.mmm_extensions.models.base.BaseExtendedMMM method) (mmm_framework.model.base.BayesianMMM method) predict_under() (mmm_framework.estimands.spec.SupportsEstimands method) (mmm_framework.model.base.BayesianMMM method) predicted (mmm_framework.reporting.extractors.MMMDataBundle attribute) predicted_by_geo (mmm_framework.reporting.extractors.MMMDataBundle attribute) predicted_by_product (mmm_framework.reporting.extractors.MMMDataBundle attribute) PredictionResults (class in mmm_framework.model.results) predictive_weights (mmm_framework.validation.spec_curve.SpecCurveResult attribute) PREDICTOR (mmm_framework.config.DatasetRole attribute) predictor_names (mmm_framework.config.DatasetSchema property) prefer_aggregation() (mmm_framework.builders.model.DimensionAlignmentConfigBuilder method) prefer_disaggregation (mmm_framework.config.DimensionAlignmentConfig attribute) prefer_disaggregation() (mmm_framework.builders.model.DimensionAlignmentConfigBuilder method) prepare() (mmm_framework.data_preparation.DataPreparator method) PreparedData (class in mmm_framework.data_preparation) preposterior_sd_ratio() (in module mmm_framework.planning.evoi) presentation() (mmm_framework.reporting.config.ReportConfig class method) preserve_explicit_nan (mmm_framework.config.MFFConfig attribute) price (mmm_framework.config.ModelConfig attribute) PriceConfig (class in mmm_framework.config) primary (mmm_framework.reporting.config.ColorScheme attribute) (mmm_framework.validation.spec_curve.SpecCurveResult attribute) (mmm_framework.validation.spec_curve.SpecFit attribute) (mmm_framework.validation.spec_curve.SpecVariant attribute) primary_dark (mmm_framework.reporting.config.ColorScheme attribute) primary_variant (mmm_framework.validation.spec_curve.SpecSet property) prior_alpha (mmm_framework.mmm_extensions.config.AdstockConfig attribute) prior_beta (mmm_framework.mmm_extensions.config.AdstockConfig attribute) prior_inclusion_prob (mmm_framework.mmm_extensions.config.SpikeSlabConfig attribute) prior_samples (mmm_framework.reporting.extractors.MMMDataBundle attribute) prior_sigma (mmm_framework.config.ChannelInteraction attribute) (mmm_framework.config.EventsConfig attribute) (mmm_framework.config.EventSpec attribute) (mmm_framework.config.SeasonalityConfig attribute) (mmm_framework.mmm_extensions.components.cross_effects.CrossEffectSpec attribute) (mmm_framework.mmm_extensions.components.CrossEffectSpec attribute) (mmm_framework.mmm_extensions.config.CrossEffectConfig attribute) prior_sigma_for() (mmm_framework.config.SeasonalityConfig method) prior_type (mmm_framework.mmm_extensions.config.AdstockConfig attribute) PriorConfig (class in mmm_framework.config) PriorConfigBuilder (class in mmm_framework.builders.prior) priority (mmm_framework.planning.priority.ChannelPriority attribute) PriorType (class in mmm_framework.config) prob_above_line (mmm_framework.continuous_learning.loop.WaveRecord attribute) (mmm_framework.continuous_learning.planner.PlanResult attribute) prob_kpi_loss (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) prob_loss_over_threshold (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) prob_net_loss (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) probe_pairs_excluding() (in module mmm_framework.continuous_learning.model) PRODUCT (mmm_framework.config.DimensionType attribute) product (mmm_framework.config.MFFColumnConfig attribute) product_allocation (mmm_framework.config.DimensionAlignmentConfig attribute) product_by_custom() (mmm_framework.builders.model.DimensionAlignmentConfigBuilder method) product_by_sales() (mmm_framework.builders.model.DimensionAlignmentConfigBuilder method) product_effects (mmm_framework.model.results.ComponentDecomposition attribute) product_equal() (mmm_framework.builders.model.DimensionAlignmentConfigBuilder method) product_idx (mmm_framework.data_preparation.PreparedData attribute) product_names (mmm_framework.data_preparation.PreparedData attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) product_weight_variable (mmm_framework.config.DimensionAlignmentConfig attribute) ProductExtractionMixin (class in mmm_framework.reporting.extractors) products (mmm_framework.data_loader.PanelCoordinates attribute) (mmm_framework.synth.dgp_geo.GeoScenario attribute) profile_panel() (in module mmm_framework.eda) profit_gap (mmm_framework.continuous_learning.loop.WaveRecord attribute) profit_gap_rel (mmm_framework.continuous_learning.loop.WaveRecord attribute) profit_sd (mmm_framework.continuous_learning.planner.PlanResult attribute) profits (mmm_framework.continuous_learning.planner.PlanResult attribute) progress (mmm_framework.jobs.Job attribute) project_pacing() (in module mmm_framework.platform.pacing) project_scorecard_rows() (in module mmm_framework.platform.scorecard) project_triangulation_sources() (in module mmm_framework.platform.triangulation) PromoConfig (class in mmm_framework.config) promotion_column (mmm_framework.mmm_extensions.config.CrossEffectConfig attribute) promotion_modulated (mmm_framework.mmm_extensions.config.CrossEffectConfig attribute) promotions (mmm_framework.config.ModelConfig attribute) proportion_mediated (mmm_framework.mmm_extensions.results.MediationEffects attribute) psis_log_weights() (in module mmm_framework.utils.arviz_compat) PyMCMarketingExtractor (class in mmm_framework.reporting.extractors) Q quadrant (mmm_framework.planning.priority.ChannelPriority attribute) quantity (mmm_framework.estimands.spec.Contrast attribute) quarterly_in_weekly_model() (mmm_framework.mmm_extensions.builders.AggregatedSurveyConfigBuilder method) R r_squared (mmm_framework.jobs.JobResult attribute) RaggedMFFLoader (class in mmm_framework.data_loader) raise_if_invalid() (mmm_framework.dag_model_builder.validation.ValidationResult method) random_seed (mmm_framework.jobs.JobConfig attribute) (mmm_framework.validation.backtest.BacktestConfig attribute) RANDOM_WALK (mmm_framework.mmm_extensions.config.MediatorDynamics attribute) rank_hist_band() (in module mmm_framework.diagnostics.sbc) rationale (mmm_framework.eda.RemediationAction attribute) (mmm_framework.validation.spec_curve.SpecSet attribute) reach_frequency (mmm_framework.config.ModelConfig attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) ReachFrequencyConfig (class in mmm_framework.config) react_flow_to_dag_spec() (in module mmm_framework.dag_model_builder.frontend_adapter) Realization (class in mmm_framework.estimands.spec) realization (mmm_framework.estimands.spec.Estimand attribute) realized_sigma_exp_for_anchor() (in module mmm_framework.planning.design_anchor) reallocation (mmm_framework.reporting.config.ReportConfig attribute) reallocation_gain (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) reason (mmm_framework.estimands.spec.EstimandResult attribute) rebuild_like() (in module mmm_framework.validation.backtest) recenter() (mmm_framework.continuous_learning.loop.LearningState method) recommend() (in module mmm_framework.planning.experiment_optimizer) (mmm_framework.continuous_learning.loop.LearningState method) recommend_allocation() (in module mmm_framework.continuous_learning.planner) recommend_treatments() (in module mmm_framework.eda) recommendation (mmm_framework.continuous_learning.loop.WaveRecord attribute) (mmm_framework.continuous_learning.planner.PlanResult attribute) RECOMMENDED_METHODS (in module mmm_framework.garden.contract) recommended_tests (mmm_framework.reporting.config.ReportConfig attribute) record_assumption() (in module mmm_framework.platform.sessions) record_data_connection_sync() (in module mmm_framework.platform.sessions) record_ingested_wave() (in module mmm_framework.platform.sessions) record_run_metrics() (in module mmm_framework.platform.sessions) record_signoff() (in module mmm_framework.platform.sessions) records (mmm_framework.validation.backtest.BacktestResult attribute) recovery_diagnosis() (in module mmm_framework.diagnostics.coverage) RecoveryCoverageResult (class in mmm_framework.diagnostics.coverage) RecoveryTargetStat (class in mmm_framework.diagnostics.coverage) reduce (mmm_framework.estimands.spec.Contrast attribute) reexperiment_due() (in module mmm_framework.planning.eig) ref (mmm_framework.estimands.spec.CustomIntervention attribute) reference (mmm_framework.config.PriceConfig attribute) refit_fn_from_data() (in module mmm_framework.continuous_learning.model) regadj_geo_estimator() (in module mmm_framework.planning.simulation) register_file() (in module mmm_framework.platform.sessions) registered_at (mmm_framework.validation.spec_curve.SpecSet attribute) regret() (mmm_framework.continuous_learning.loop.LearningState method) regularization (mmm_framework.config.ControlSelectionConfig attribute) (mmm_framework.mmm_extensions.config.LassoConfig attribute) REGULARIZED_HORSESHOE (mmm_framework.mmm_extensions.config.VariableSelectionMethod attribute) regularized_horseshoe() (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) RemediationAction (class in mmm_framework.eda) remove_section() (mmm_framework.reporting.generator.MMMReportGenerator method) rename_session() (in module mmm_framework.platform.sessions) render() (mmm_framework.reporting.generator.MMMReportGenerator method) (mmm_framework.reporting.sections.AllocationSection method) (mmm_framework.reporting.sections.CannibalizationSection method) (mmm_framework.reporting.sections.CausalAssumptionsSection method) (mmm_framework.reporting.sections.CFOSection method) (mmm_framework.reporting.sections.ChannelROISection method) (mmm_framework.reporting.sections.DecompositionSection method) (mmm_framework.reporting.sections.DiagnosticsSection method) (mmm_framework.reporting.sections.EstimandsSection method) (mmm_framework.reporting.sections.ExecutiveSummarySection method) (mmm_framework.reporting.sections.FactorAnalysisSection method) (mmm_framework.reporting.sections.GeographicSection method) (mmm_framework.reporting.sections.LongTermSection method) (mmm_framework.reporting.sections.MediatorSection method) (mmm_framework.reporting.sections.MethodologySection method) (mmm_framework.reporting.sections.ModelFitSection method) (mmm_framework.reporting.sections.PacingSection method) (mmm_framework.reporting.sections.PosteriorPredictiveSection method) (mmm_framework.reporting.sections.SaturationSection method) (mmm_framework.reporting.sections.Section method) (mmm_framework.reporting.sections.SensitivitySection method) (mmm_framework.reporting.sections.SpecCurveSection method) (mmm_framework.reporting.sections.TriangulationSection method) ReportBuilder (class in mmm_framework.reporting.generator) ReportConfig (class in mmm_framework.reporting.config) representable (mmm_framework.synth.dgp.Scenario attribute) (mmm_framework.synth.dgp_geo.GeoScenario attribute) REQUIRED_ATTRS (in module mmm_framework.garden.contract) required_capabilities (mmm_framework.estimands.spec.Estimand attribute) REQUIRED_DATASET_CAPABILITIES (mmm_framework.model.base.BayesianMMM attribute) REQUIRED_METHODS (in module mmm_framework.garden.contract) REQUIRED_ROLES (mmm_framework.model.base.BayesianMMM attribute) resid (mmm_framework.eda.DecompositionResult attribute) residualize_geo_panel() (in module mmm_framework.planning.design) residuals (mmm_framework.planning.simulation.SimPanel attribute) resolve_db_path() (in module mmm_framework.platform.sessions) resolve_model_type() (in module mmm_framework.dag_model_builder.model_type_resolver) resolve_org_id() (in module mmm_framework.platform.sessions) resolve_project_id() (in module mmm_framework.platform.sessions) response (mmm_framework.config.ReachFrequencyConfig attribute) response_curve() (in module mmm_framework.continuous_learning.surface) response_fn (mmm_framework.synth.dgp.Scenario attribute) response_grid() (in module mmm_framework.continuous_learning.planner) response_horizon_weeks (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) response_mean() (mmm_framework.continuous_learning.dgp.TrueWorld method) responsive (mmm_framework.reporting.config.ChartConfig attribute) restore_db() (in module mmm_framework.platform.backup) result (mmm_framework.jobs.Job attribute) retest_due (mmm_framework.planning.priority.ChannelPriority attribute) retract_assumption() (in module mmm_framework.platform.sessions) rfm_arrays() (in module mmm_framework.ltv) rhat_max (mmm_framework.jobs.JobResult attribute) rho_prior_alpha (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.mmm_extensions.config.LatentFactorSpec attribute) (mmm_framework.mmm_extensions.config.MediatorSpec attribute) rho_prior_beta (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.mmm_extensions.config.LatentFactorSpec attribute) (mmm_framework.mmm_extensions.config.MediatorSpec attribute) ridge_alpha (mmm_framework.config.ModelConfig attribute) rmse (mmm_framework.diagnostics.coverage.RecoveryTargetStat attribute) (mmm_framework.jobs.JobResult attribute) ROAS (mmm_framework.calibration.likelihood.ExperimentEstimand attribute) robust_z_threshold (mmm_framework.eda.OutlierConfig attribute) robustness (mmm_framework.validation.spec_curve.SpecCurveResult attribute) roi (mmm_framework.validation.spec_curve.SpecFit attribute) roi_based_media_priors() (mmm_framework.builders.model.ModelConfigBuilder method) roi_draws (mmm_framework.validation.spec_curve.SpecFit attribute) roi_hdi_high (mmm_framework.planning.priority.ChannelPriority attribute) roi_hdi_low (mmm_framework.planning.priority.ChannelPriority attribute) roi_mean (mmm_framework.planning.priority.ChannelPriority attribute) roi_prior (mmm_framework.config.MediaChannelConfig attribute) roi_prior_mu (mmm_framework.config.MediaChannelConfig attribute) roi_prior_sigma (mmm_framework.config.MediaChannelConfig attribute) roi_sd (mmm_framework.planning.priority.ChannelPriority attribute) role (mmm_framework.config.ControlVariableConfig attribute) (mmm_framework.config.KPIConfig attribute) (mmm_framework.config.MediaChannelConfig attribute) (mmm_framework.config.RoleBinding attribute) (mmm_framework.config.VariableConfig attribute) RoleBinding (class in mmm_framework.config) roles_source (mmm_framework.eda.EDAPanel attribute) rolling_origins() (in module mmm_framework.validation.backtest) rolling_window (mmm_framework.eda.OutlierConfig attribute) ROOT (mmm_framework.config.SaturationType attribute) root() (mmm_framework.builders.prior.SaturationConfigBuilder method) (mmm_framework.config.SaturationConfig class method) root_saturation() (in module mmm_framework.transforms.saturation) run() (mmm_framework.eda.DataValidator method) (mmm_framework.eda.OutlierDetector method) run_aa_simulation() (in module mmm_framework.planning.simulation) run_ab_simulation() (in module mmm_framework.planning.simulation) run_all() (mmm_framework.validation.channel_diagnostics.ChannelDiagnostics method) run_backtest() (in module mmm_framework.validation.backtest) run_closed_loop() (in module mmm_framework.continuous_learning.loop) run_compatibility_check() (in module mmm_framework.garden.compat) run_metrics_activity() (in module mmm_framework.platform.sessions) run_mmm_sbc() (in module mmm_framework.diagnostics.sbc) run_recovery_coverage() (in module mmm_framework.diagnostics.coverage) run_sbc() (in module mmm_framework.diagnostics.sbc) run_spec_curve() (in module mmm_framework.validation.spec_curve) run_timeline_markdown() (in module mmm_framework.platform.runs) RUNNING (mmm_framework.jobs.JobStatus attribute) S SAGE (mmm_framework.reporting.config.ColorPalette attribute) SALES (mmm_framework.config.AllocationMethod attribute) sample_channel_contributions() (mmm_framework.mmm_extensions.models.base.BaseExtendedMMM method) (mmm_framework.model.base.BayesianMMM method) sample_latent_under() (mmm_framework.model.base.BayesianMMM method) sample_prior_predictive() (in module mmm_framework.utils.arviz_compat) (mmm_framework.mmm_extensions.models.base.BaseExtendedMMM method) (mmm_framework.model.base.BayesianMMM method) sample_sizes (mmm_framework.mmm_extensions.config.AggregatedSurveyConfig attribute) sampler (mmm_framework.diagnostics.coverage.RecoveryCoverageResult attribute) (mmm_framework.diagnostics.sbc.SBCResult attribute) samples (mmm_framework.continuous_learning.model.Posterior attribute) saturation (mmm_framework.config.MediaChannelConfig attribute) (mmm_framework.mmm_extensions.config.MediatorConfig attribute) (mmm_framework.reporting.config.ReportConfig attribute) (mmm_framework.validation.spec_curve.SpecVariant attribute) saturation_beta_prior_sigma (mmm_framework.dag_model_builder.node_configs.MediaNodeConfig attribute) saturation_curves (mmm_framework.reporting.extractors.MMMDataBundle attribute) saturation_kappa_prior_alpha (mmm_framework.dag_model_builder.node_configs.MediaNodeConfig attribute) saturation_kappa_prior_beta (mmm_framework.dag_model_builder.node_configs.MediaNodeConfig attribute) saturation_params (mmm_framework.mmm_extensions.components.MediaTransformResult attribute) saturation_slope_prior_sigma (mmm_framework.dag_model_builder.node_configs.MediaNodeConfig attribute) saturation_type (mmm_framework.dag_model_builder.node_configs.MediaNodeConfig attribute) SaturationBuilderMixin (class in mmm_framework.mmm_extensions.builders_base) SaturationConfig (class in mmm_framework.config) (class in mmm_framework.mmm_extensions.config) SaturationConfigBuilder (class in mmm_framework.builders.prior) (class in mmm_framework.mmm_extensions.builders) SaturationSection (class in mmm_framework.reporting.sections) SaturationType (class in mmm_framework.config) save() (mmm_framework.mmm_extensions.models.base.BaseExtendedMMM method) (mmm_framework.model.base.BayesianMMM method) (mmm_framework.serialization.MMMSerializer class method) save_trace_only() (mmm_framework.model.base.BayesianMMM method) (mmm_framework.serialization.MMMSerializer class method) SBCParamStat (class in mmm_framework.diagnostics.sbc) SBCResult (class in mmm_framework.diagnostics.sbc) (class in mmm_framework.validation.calibration) scale_prior (mmm_framework.config.AdstockConfig attribute) scale_ratio_threshold (mmm_framework.eda.DataValidationConfig attribute) ScaleInput (class in mmm_framework.estimands.spec) scaling_params (mmm_framework.data_preparation.PreparedData attribute) ScalingParameters (class in mmm_framework.data_preparation) Scenario (class in mmm_framework.synth.dgp) scenario_outcome (mmm_framework.analysis.ScenarioResult attribute) scenario_prediction (mmm_framework.analysis.ScenarioResult attribute) scenario_to_mff() (in module mmm_framework.synth.mff) ScenarioResult (class in mmm_framework.analysis) schedule (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) schedule_mult (mmm_framework.planning.simulation.Assignment attribute) SCHEMA_VERSION (mmm_framework.config.DatasetSchema attribute) schema_version (mmm_framework.config.DatasetSchema attribute) (mmm_framework.estimands.spec.Estimand attribute) score (mmm_framework.eda.OutlierFlag attribute) sd (mmm_framework.mmm_extensions.results.CrossEffectSummary attribute) se (mmm_framework.calibration.likelihood.ExperimentMeasurement attribute) (mmm_framework.planning.simulation.EstimatorResult attribute) season_period (mmm_framework.validation.backtest.BacktestConfig attribute) (mmm_framework.validation.backtest.BacktestResult attribute) seasonal (mmm_framework.eda.DecompositionResult attribute) seasonal_period_for_freq() (in module mmm_framework.eda) seasonal_strength (mmm_framework.eda.DecompositionResult attribute) seasonality (mmm_framework.config.ModelConfig attribute) (mmm_framework.model.results.ComponentDecomposition attribute) (mmm_framework.validation.spec_curve.SpecVariant attribute) seasonality_features (mmm_framework.data_preparation.PreparedData attribute) SeasonalityConfig (class in mmm_framework.config) SeasonalityConfigBuilder (class in mmm_framework.builders.model) Section (class in mmm_framework.reporting.sections) section_id (mmm_framework.reporting.sections.AllocationSection attribute) (mmm_framework.reporting.sections.CannibalizationSection attribute) (mmm_framework.reporting.sections.CausalAssumptionsSection attribute) (mmm_framework.reporting.sections.CFOSection attribute) (mmm_framework.reporting.sections.ChannelROISection attribute) (mmm_framework.reporting.sections.DecompositionSection attribute) (mmm_framework.reporting.sections.DiagnosticsSection attribute) (mmm_framework.reporting.sections.EstimandsSection attribute) (mmm_framework.reporting.sections.ExecutiveSummarySection attribute) (mmm_framework.reporting.sections.FactorAnalysisSection attribute) (mmm_framework.reporting.sections.GeographicSection attribute) (mmm_framework.reporting.sections.LongTermSection attribute) (mmm_framework.reporting.sections.MediatorSection attribute) (mmm_framework.reporting.sections.MethodologySection attribute) (mmm_framework.reporting.sections.ModelFitSection attribute) (mmm_framework.reporting.sections.PacingSection attribute) (mmm_framework.reporting.sections.PosteriorPredictiveSection attribute) (mmm_framework.reporting.sections.SaturationSection attribute) (mmm_framework.reporting.sections.Section attribute) (mmm_framework.reporting.sections.SensitivitySection attribute) (mmm_framework.reporting.sections.SpecCurveSection attribute) (mmm_framework.reporting.sections.TriangulationSection attribute) SectionConfig (class in mmm_framework.reporting.config) sections (mmm_framework.eda.EDAReport attribute) seed (mmm_framework.diagnostics.coverage.RecoveryCoverageResult attribute) (mmm_framework.diagnostics.sbc.SBCResult attribute) (mmm_framework.planning.simulation.Assignment attribute) select_next_design() (in module mmm_framework.continuous_learning.loop) selection_result (mmm_framework.mmm_extensions.components.ControlEffectResult attribute) (mmm_framework.mmm_extensions.components.variable_selection.ControlEffectResult attribute) selection_with_inclusion_probs() (in module mmm_framework.mmm_extensions.builders) sensitivity (mmm_framework.reporting.config.ReportConfig attribute) sensitivity_results (mmm_framework.reporting.extractors.MMMDataBundle attribute) SensitivitySection (class in mmm_framework.reporting.sections) series() (mmm_framework.eda.EDAPanel method) set_allocation_weights() (mmm_framework.data_loader.MFFLoader method) set_data_connection_schedule() (in module mmm_framework.platform.sessions) set_garden_compat_report() (in module mmm_framework.platform.sessions) set_kb_document_status() (in module mmm_framework.platform.sessions) set_preference() (in module mmm_framework.platform.sessions) set_project_branding() (in module mmm_framework.platform.sessions) set_project_members() (in module mmm_framework.platform.sessions) set_project_meta() (in module mmm_framework.platform.sessions) set_workflow_step() (in module mmm_framework.platform.sessions) SetInput (class in mmm_framework.estimands.spec) severity (mmm_framework.eda.ValidationIssue attribute) shape (mmm_framework.continuous_learning.dgp.TrueWorld attribute) (mmm_framework.diagnostics.sbc.SBCParamStat attribute) shape_names (mmm_framework.continuous_learning.model.Posterior property) shape_prior (mmm_framework.config.AdstockConfig attribute) SHAPE_TRANSFORMS (in module mmm_framework.continuous_learning.acquisition) shape_tuple() (mmm_framework.continuous_learning.dgp.TrueWorld method) share_adstock() (mmm_framework.mmm_extensions.builders.NestedModelConfigBuilder method) share_adstock_across_mediators (mmm_framework.mmm_extensions.config.NestedModelConfig attribute) share_media_adstock (mmm_framework.mmm_extensions.config.MultivariateModelConfig attribute) share_media_adstock() (mmm_framework.mmm_extensions.builders.MultivariateModelConfigBuilder method) share_media_saturation (mmm_framework.mmm_extensions.config.MultivariateModelConfig attribute) share_media_saturation() (mmm_framework.mmm_extensions.builders.MultivariateModelConfigBuilder method) share_saturation() (mmm_framework.mmm_extensions.builders.NestedModelConfigBuilder method) share_saturation_across_mediators (mmm_framework.mmm_extensions.config.NestedModelConfig attribute) share_seasonality (mmm_framework.mmm_extensions.config.MultivariateModelConfig attribute) share_seasonality() (mmm_framework.mmm_extensions.builders.MultivariateModelConfigBuilder method) share_trend (mmm_framework.mmm_extensions.config.MultivariateModelConfig attribute) share_trend() (mmm_framework.mmm_extensions.builders.MultivariateModelConfigBuilder method) ShareMeasurement (class in mmm_framework.calibration.likelihood) shares (mmm_framework.calibration.likelihood.ShareMeasurement attribute) shell (mmm_framework.reporting.config.ReportConfig attribute) should_stop() (in module mmm_framework.continuous_learning.planner) show_credible_intervals (mmm_framework.reporting.config.ChartConfig attribute) show_legend (mmm_framework.reporting.config.ChartConfig attribute) show_nav (mmm_framework.reporting.config.ReportConfig attribute) show_uncertainty (mmm_framework.reporting.config.SectionConfig attribute) side (mmm_framework.estimands.spec.Summary attribute) sigma (mmm_framework.mmm_extensions.config.EffectPriorConfig attribute) sigma_a (mmm_framework.continuous_learning.dgp.TrueWorld attribute) sigma_anchors (mmm_framework.planning.evoi.EvoiSurrogate attribute) sigma_exp (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) (mmm_framework.planning.priority.ChannelPriority attribute) sigma_exp_for_design() (in module mmm_framework.planning.eig) sigma_prior (mmm_framework.config.HierarchicalConfig attribute) significance_level (mmm_framework.eda.EDAConfig attribute) SimPanel (class in mmm_framework.planning.simulation) simulate_cpa_distribution() (in module mmm_framework.planning.cpa) simulate_panel() (in module mmm_framework.continuous_learning.dgp) simulate_wave() (in module mmm_framework.continuous_learning.dgp) simulation_based_calibration() (in module mmm_framework.validation.calibration) site_transforms (mmm_framework.continuous_learning.acquisition.ThetaMap attribute) skewness (mmm_framework.diagnostics.sbc.SBCParamStat attribute) slab_df (mmm_framework.mmm_extensions.config.HorseshoeConfig attribute) slab_scale (mmm_framework.mmm_extensions.config.HorseshoeConfig attribute) (mmm_framework.mmm_extensions.config.SpikeSlabConfig attribute) slice() (mmm_framework.synth.dgp.Scenario method) slices() (mmm_framework.eda.EDAPanel method) slope_prior (mmm_framework.config.SaturationConfig attribute) slope_prior_alpha (mmm_framework.mmm_extensions.config.SaturationConfig attribute) slope_prior_beta (mmm_framework.mmm_extensions.config.SaturationConfig attribute) SMC (mmm_framework.config.FitMethod attribute) smc() (mmm_framework.builders.model.ModelConfigBuilder method) smooth() (mmm_framework.builders.model.TrendConfigBuilder method) source (mmm_framework.calibration.likelihood.ShareMeasurement attribute) (mmm_framework.dag_model_builder.dag_spec.DAGEdge attribute) (mmm_framework.estimands.spec.Contribution attribute) (mmm_framework.estimands.spec.ObservedInput attribute) (mmm_framework.mmm_extensions.results.CrossEffectSummary attribute) source_idx (mmm_framework.mmm_extensions.components.cross_effects.CrossEffectSpec attribute) (mmm_framework.mmm_extensions.components.CrossEffectSpec attribute) source_outcome (mmm_framework.mmm_extensions.config.CrossEffectConfig attribute) source_path (mmm_framework.eda.EDAPanel attribute) sparse_controls() (in module mmm_framework.mmm_extensions.builders) sparse_selection_config() (in module mmm_framework.mmm_extensions.config) spec_change (mmm_framework.eda.RemediationAction attribute) spec_curve (mmm_framework.reporting.config.ReportConfig attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) spec_hash() (in module mmm_framework.platform.runs) SpecChange (class in mmm_framework.config) SpecCurveResult (class in mmm_framework.validation.spec_curve) SpecCurveSection (class in mmm_framework.reporting.sections) SpecFit (class in mmm_framework.validation.spec_curve) specification (mmm_framework.config.ModelConfig attribute) specs (mmm_framework.validation.spec_curve.SpecCurveResult attribute) SpecSet (class in mmm_framework.validation.spec_curve) SpecVariant (class in mmm_framework.validation.spec_curve) spend (mmm_framework.calibration.likelihood.ExperimentMeasurement attribute) SPEND (mmm_framework.config.MeasurementUnit attribute) spend (mmm_framework.planning.priority.ChannelPriority attribute) (mmm_framework.synth.dgp.Scenario attribute) (mmm_framework.synth.dgp_geo.GeoScenario attribute) spend_at_risk (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) spend_changes (mmm_framework.analysis.ScenarioResult attribute) spend_column (mmm_framework.config.MediaChannelConfig attribute) spend_delta (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) (mmm_framework.planning.simulation.EstimatorResult attribute) spend_increase (mmm_framework.analysis.MarginalAnalysisResult attribute) spend_increase_pct (mmm_framework.analysis.MarginalAnalysisResult attribute) spend_lift_pct (mmm_framework.calibration.likelihood.ExperimentMeasurement attribute) spend_national (mmm_framework.planning.simulation.SimPanel attribute) spend_raw (mmm_framework.data_loader.PanelDataset attribute) spend_ref (mmm_framework.continuous_learning.loop.LearningState attribute) (mmm_framework.continuous_learning.model.Posterior attribute) spend_share (mmm_framework.planning.priority.ChannelPriority attribute) (mmm_framework.planning.simulation.LiftInjector attribute) spend_share() (in module mmm_framework.eda) spend_wide (mmm_framework.planning.simulation.SimPanel attribute) spike_neighborhood (mmm_framework.eda.OutlierConfig attribute) spike_ratio (mmm_framework.eda.OutlierConfig attribute) spike_scale (mmm_framework.mmm_extensions.config.SpikeSlabConfig attribute) spike_slab (mmm_framework.mmm_extensions.config.VariableSelectionConfig attribute) SPIKE_SLAB (mmm_framework.mmm_extensions.config.VariableSelectionMethod attribute) spike_slab() (mmm_framework.builders.model.ControlSelectionConfigBuilder method) (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) SpikeSlabConfig (class in mmm_framework.mmm_extensions.config) SpikeSlabConfigBuilder (class in mmm_framework.mmm_extensions.builders) SPLINE (mmm_framework.model.trend_config.TrendType attribute) spline() (mmm_framework.builders.model.TrendConfigBuilder method) spline_degree (mmm_framework.model.trend_config.TrendConfig attribute), [1] spline_prior (mmm_framework.continuous_learning.loop.LearningState attribute) spline_prior_sigma (mmm_framework.model.trend_config.TrendConfig attribute), [1] SplineTrendStrategy (class in mmm_framework.model.components.trend) split_dimensions (mmm_framework.config.MediaChannelConfig attribute) spread_p (mmm_framework.diagnostics.coverage.RecoveryTargetStat attribute) stage (mmm_framework.jobs.JobProgress attribute) stamp_inference_family() (mmm_framework.reporting.extractors.DataExtractor method) StandardizationParams (class in mmm_framework.utils.standardization) standardize_array() (in module mmm_framework.data_preparation) standardize_in_graph() (in module mmm_framework.mmm_extensions.components) standardizes_y (mmm_framework.config.LikelihoodConfig property) (mmm_framework.config.LikelihoodFamily property) start (mmm_framework.estimands.spec.TimeWindow attribute) start_job() (mmm_framework.jobs.JobManager method) started_at (mmm_framework.jobs.Job attribute) (mmm_framework.jobs.JobProgress attribute) state_parameterization (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) (mmm_framework.mmm_extensions.config.MediatorSpec attribute) STATIC (mmm_framework.mmm_extensions.config.MediatorDynamics attribute) stationarity_reports (mmm_framework.continuous_learning.loop.LearningState attribute) stationarity_tests() (in module mmm_framework.eda) status (mmm_framework.estimands.spec.EstimandResult attribute) (mmm_framework.jobs.Job attribute) (mmm_framework.planning.pacing.PacingChannel attribute) (mmm_framework.planning.simulation.AAResult attribute) (mmm_framework.planning.simulation.ABResult attribute) std (mmm_framework.utils.standardization.StandardizationParams attribute) step (mmm_framework.validation.backtest.BacktestConfig attribute) stl_period (mmm_framework.eda.OutlierConfig attribute) stl_residual_threshold (mmm_framework.eda.OutlierConfig attribute) stl_robust (mmm_framework.eda.EDAConfig attribute) stop (mmm_framework.continuous_learning.loop.WaveRecord attribute) STRATEGIES (mmm_framework.model.components.trend.TrendBuilder attribute) strategy (mmm_framework.eda.RemediationAction attribute) structural_identification() (in module mmm_framework.planning.identification) structural_information() (in module mmm_framework.planning.identification) structural_jacobian() (in module mmm_framework.planning.identification) STRUCTURAL_NESTED_MMM (mmm_framework.dag_model_builder.model_type_resolver.ModelType attribute) StructuralNestedConfig (class in mmm_framework.mmm_extensions.config) STUDENT_T (mmm_framework.config.LikelihoodFamily attribute) student_t() (mmm_framework.config.LikelihoodConfig class method) submit_job() (mmm_framework.jobs.JobManager method) submit_model_job() (in module mmm_framework.jobs) subtitle (mmm_framework.reporting.config.ReportConfig attribute) (mmm_framework.reporting.config.SectionConfig attribute) success (mmm_framework.reporting.config.ColorScheme attribute) suggest_experiment() (in module mmm_framework.planning.experiment_optimizer) summaries (mmm_framework.continuous_learning.loop.LearningState attribute) (mmm_framework.estimands.spec.Estimand attribute) summarize_spec_diff() (in module mmm_framework.config) summarize_variable_selection() (in module mmm_framework.mmm_extensions.components) (in module mmm_framework.mmm_extensions.components.variable_selection) Summary (class in mmm_framework.estimands.spec) summary() (in module mmm_framework.utils.arviz_compat) (mmm_framework.data_loader.PanelDataset method) (mmm_framework.diagnostics.coverage.RecoveryCoverageResult method) (mmm_framework.diagnostics.sbc.SBCResult method) (mmm_framework.eda.DataValidationReport method) (mmm_framework.eda.OutlierReport method) (mmm_framework.mmm_extensions.models.base.BaseExtendedMMM method) (mmm_framework.mmm_extensions.results.ModelResults method) (mmm_framework.model.base.BayesianMMM method) (mmm_framework.model.results.ComponentDecomposition method) (mmm_framework.model.results.ContributionResults method) (mmm_framework.model.results.MMMResults method) (mmm_framework.validation.backtest.BacktestResult method) (mmm_framework.validation.calibration.LooPitResult method) (mmm_framework.validation.calibration.SBCResult method) summary_path (mmm_framework.jobs.JobResult attribute) SupportsEstimands (class in mmm_framework.estimands.spec) SupportsFit (class in mmm_framework.garden.contract) surface (mmm_framework.reporting.config.ColorScheme attribute) surface_from_eta() (mmm_framework.continuous_learning.acquisition.ThetaMap method) surface_over_rows() (in module mmm_framework.continuous_learning.surface) surface_value() (in module mmm_framework.continuous_learning.surface) surrogate_evoi() (in module mmm_framework.planning.evoi) surrogate_validity() (in module mmm_framework.continuous_learning.acquisition) survey_awareness_mediator() (in module mmm_framework.mmm_extensions.builders) sustained (mmm_framework.estimands.spec.SetInput attribute) sweep_pacing_alerts() (in module mmm_framework.platform.pacing) SYMMETRIC (mmm_framework.mmm_extensions.config.CrossEffectType attribute) symmetric() (mmm_framework.mmm_extensions.builders.CrossEffectConfigBuilder method) T t_pre (mmm_framework.planning.simulation.Window attribute) t_scaled (mmm_framework.data_preparation.PreparedData attribute) t_test (mmm_framework.planning.simulation.Window attribute) tags (mmm_framework.jobs.JobConfig attribute) TANH (mmm_framework.config.SaturationType attribute) tanh() (mmm_framework.builders.prior.SaturationConfigBuilder method) (mmm_framework.config.SaturationConfig class method) TARGET (mmm_framework.config.DatasetRole attribute) target (mmm_framework.dag_model_builder.dag_spec.DAGEdge attribute) (mmm_framework.estimands.spec.Contribution attribute) (mmm_framework.estimands.spec.MarginalSpend attribute) (mmm_framework.estimands.spec.ObservedInput attribute) (mmm_framework.estimands.spec.ScaleInput attribute) (mmm_framework.estimands.spec.SetInput attribute) (mmm_framework.estimands.spec.ZeroInput attribute) (mmm_framework.mmm_extensions.results.CrossEffectSummary attribute) target_accept (mmm_framework.config.ModelConfig attribute) (mmm_framework.jobs.JobConfig attribute) target_dimensions (mmm_framework.config.MFFConfig property) target_idx (mmm_framework.mmm_extensions.components.cross_effects.CrossEffectSpec attribute) (mmm_framework.mmm_extensions.components.CrossEffectSpec attribute) target_names (mmm_framework.config.DatasetSchema property) target_outcome (mmm_framework.mmm_extensions.config.CrossEffectConfig attribute) targets (mmm_framework.diagnostics.coverage.RecoveryCoverageResult attribute) tau (mmm_framework.planning.evoi.EvoiSurrogate attribute) temperature (mmm_framework.mmm_extensions.config.SpikeSlabConfig attribute) test_period (mmm_framework.calibration.likelihood.ExperimentMeasurement attribute) test_slice (mmm_framework.planning.simulation.Window attribute) text (mmm_framework.reporting.config.ColorScheme attribute) text_muted (mmm_framework.reporting.config.ColorScheme attribute) theta_map() (in module mmm_framework.continuous_learning.acquisition) theta_moments() (in module mmm_framework.continuous_learning.acquisition) theta_prior (mmm_framework.config.AdstockConfig attribute) ThetaMap (class in mmm_framework.continuous_learning.acquisition) thompson_wave() (in module mmm_framework.continuous_learning.planner) threshold (mmm_framework.estimands.spec.Summary attribute) (mmm_framework.planning.pacing.PacingResult attribute) TIME (mmm_framework.config.DatasetRole attribute) time_col (mmm_framework.config.DatasetSchema attribute) time_effect (mmm_framework.continuous_learning.loop.LearningState attribute) (mmm_framework.continuous_learning.model.Posterior attribute) time_idx (mmm_framework.data_preparation.PreparedData attribute) (mmm_framework.mmm_extensions.models.base.BaseExtendedMMM property) time_period (mmm_framework.model.results.ContributionResults attribute) time_varying (mmm_framework.config.MediaChannelConfig attribute) time_varying_betas (mmm_framework.reporting.extractors.MMMDataBundle attribute) TimeWindow (class in mmm_framework.estimands.spec) title (mmm_framework.reporting.config.ReportConfig attribute) (mmm_framework.reporting.config.SectionConfig attribute) (mmm_framework.reporting.sections.FactorAnalysisSection property) (mmm_framework.reporting.sections.Section property) to_adjacency_list() (mmm_framework.dag_model_builder.dag_spec.DAGSpec method) to_dashboard() (mmm_framework.diagnostics.coverage.CoverageLevelStat method) (mmm_framework.diagnostics.coverage.RecoveryCoverageResult method) (mmm_framework.diagnostics.coverage.RecoveryTargetStat method) (mmm_framework.diagnostics.sbc.SBCParamStat method) (mmm_framework.diagnostics.sbc.SBCResult method) to_dict() (mmm_framework.calibration.likelihood.ExperimentMeasurement method) (mmm_framework.calibration.likelihood.ShareMeasurement method) (mmm_framework.continuous_learning.planner.PlanResult method) (mmm_framework.data_preparation.ScalingParameters method) (mmm_framework.eda.DataValidationReport method) (mmm_framework.eda.DecompositionResult method) (mmm_framework.eda.EDAReport method) (mmm_framework.eda.OutlierReport method) (mmm_framework.estimands.spec.Estimand method) (mmm_framework.estimands.spec.EstimandResult method) (mmm_framework.jobs.Job method) (mmm_framework.jobs.JobConfig method) (mmm_framework.jobs.JobProgress method) (mmm_framework.jobs.JobResult method) (mmm_framework.mmm_extensions.results.CrossEffectSummary method) (mmm_framework.mmm_extensions.results.EffectDecomposition method) (mmm_framework.mmm_extensions.results.MediationEffects method) (mmm_framework.model.trend_config.TrendConfig method) (mmm_framework.planning.experiment_optimizer.CandidateEval method) (mmm_framework.planning.opportunity_cost.OpportunityCostResult method) (mmm_framework.planning.pacing.PacingChannel method) (mmm_framework.planning.pacing.PacingResult method) (mmm_framework.planning.priority.ChannelPriority method) (mmm_framework.utils.standardization.StandardizationParams method) (mmm_framework.validation.spec_curve.SpecCurveResult method) to_html() (mmm_framework.reporting.generator.MMMReportGenerator method) to_mff() (mmm_framework.config.DatasetSchema method) to_numpy() (mmm_framework.data_loader.PanelDataset method) to_plotly_layout() (mmm_framework.reporting.config.ChartConfig method) to_pymc_coords() (mmm_framework.data_loader.PanelCoordinates method) to_string() (mmm_framework.reporting.generator.MMMReportGenerator method) top_correlations (mmm_framework.eda.EDAConfig attribute) topological_order() (mmm_framework.mmm_extensions.config.StructuralNestedConfig method) total_contributions (mmm_framework.model.results.ContributionResults attribute) total_controls (mmm_framework.model.results.ComponentDecomposition attribute) total_effect (mmm_framework.mmm_extensions.results.MediationEffects attribute) total_events (mmm_framework.model.results.ComponentDecomposition attribute) total_geo (mmm_framework.model.results.ComponentDecomposition attribute) total_indirect (mmm_framework.mmm_extensions.results.MediationEffects attribute) total_indirect_effect (mmm_framework.reporting.extractors.MMMDataBundle attribute) total_interactions (mmm_framework.model.results.ComponentDecomposition attribute) total_intercept (mmm_framework.model.results.ComponentDecomposition attribute) total_levers (mmm_framework.model.results.ComponentDecomposition attribute) total_mean (mmm_framework.mmm_extensions.results.EffectDecomposition attribute) total_media (mmm_framework.model.results.ComponentDecomposition attribute) total_product (mmm_framework.model.results.ComponentDecomposition attribute) total_revenue (mmm_framework.reporting.extractors.MMMDataBundle attribute) total_sd (mmm_framework.mmm_extensions.results.EffectDecomposition attribute) total_seasonality (mmm_framework.model.results.ComponentDecomposition attribute) total_steps (mmm_framework.jobs.JobProgress attribute) total_trend (mmm_framework.model.results.ComponentDecomposition attribute) touch_data_connection_synced() (in module mmm_framework.platform.sessions) touch_session() (in module mmm_framework.platform.sessions) trace (mmm_framework.mmm_extensions.models.base.BaseExtendedMMM property) (mmm_framework.mmm_extensions.results.ModelResults attribute) (mmm_framework.model.results.MMMResults attribute) (mmm_framework.reporting.extractors.HasTrace property) trace_data (mmm_framework.reporting.extractors.MMMDataBundle attribute) trace_parameters (mmm_framework.reporting.extractors.MMMDataBundle attribute) trace_path (mmm_framework.jobs.JobResult attribute) tradeoff (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) tradeoff_basis (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) transactions_to_rfm() (in module mmm_framework.ltv) Transform (class in mmm_framework.continuous_learning.acquisition) transform() (mmm_framework.utils.standardization.DataStandardizer method) transformed (mmm_framework.mmm_extensions.components.MediaTransformResult attribute) transition_experiment() (in module mmm_framework.platform.sessions) transition_garden_model() (in module mmm_framework.platform.sessions) treatment_geos (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) (mmm_framework.planning.simulation.Assignment attribute) trend (mmm_framework.eda.DecompositionResult attribute) (mmm_framework.model.results.ComponentDecomposition attribute) (mmm_framework.validation.spec_curve.SpecVariant attribute) trend_features (mmm_framework.data_preparation.PreparedData attribute) trend_settings (mmm_framework.jobs.JobConfig attribute) trend_strength (mmm_framework.eda.DecompositionResult attribute) trend_type (mmm_framework.jobs.JobConfig attribute) (mmm_framework.validation.backtest.TrendExtrapolation attribute) TrendBuilder (class in mmm_framework.model.components.trend) TrendConfig (class in mmm_framework.model.trend_config) TrendConfigBuilder (class in mmm_framework.builders.model) TrendExtrapolation (class in mmm_framework.validation.backtest) TrendStrategy (class in mmm_framework.model.components.trend) TrendType (class in mmm_framework.model.trend_config) TRIALS (mmm_framework.config.DatasetRole attribute) trials_variable (mmm_framework.dag_model_builder.node_configs.MediatorNodeConfig attribute) triangulation (mmm_framework.reporting.config.ReportConfig attribute) (mmm_framework.reporting.extractors.MMMDataBundle attribute) TriangulationSection (class in mmm_framework.reporting.sections) true_contribution (mmm_framework.synth.dgp.Scenario attribute) (mmm_framework.synth.dgp_geo.GeoScenario attribute) true_contribution_by_geo (mmm_framework.synth.dgp_geo.GeoScenario attribute) true_roas (mmm_framework.synth.dgp.Scenario attribute) (mmm_framework.synth.dgp_geo.GeoScenario property) true_roas_by_geo (mmm_framework.synth.dgp_geo.GeoScenario attribute) TrueWorld (class in mmm_framework.continuous_learning.dgp) TRUNCATED_NORMAL (mmm_framework.config.PriorType attribute) truncated_normal() (mmm_framework.builders.prior.PriorConfigBuilder method) truth (mmm_framework.datasets.ExampleSpec attribute) (mmm_framework.diagnostics.coverage.RecoveryTargetStat attribute) truth_source (mmm_framework.diagnostics.coverage.RecoveryCoverageResult attribute) truth_summary() (in module mmm_framework.synth.mff) tune (mmm_framework.validation.backtest.BacktestConfig attribute) tvp_innovation_sigma (mmm_framework.config.MediaChannelConfig attribute) type (mmm_framework.config.AdstockConfig attribute) (mmm_framework.config.SaturationConfig attribute) (mmm_framework.estimands.spec.Constant attribute) (mmm_framework.estimands.spec.Contribution attribute) (mmm_framework.estimands.spec.CustomIntervention attribute) (mmm_framework.estimands.spec.LatentVar attribute) (mmm_framework.estimands.spec.MarginalSpend attribute) (mmm_framework.estimands.spec.Observed attribute) (mmm_framework.estimands.spec.ObservedInput attribute) (mmm_framework.estimands.spec.Outcome attribute) (mmm_framework.estimands.spec.ScaleInput attribute) (mmm_framework.estimands.spec.SetInput attribute) (mmm_framework.estimands.spec.ZeroInput attribute) (mmm_framework.mmm_extensions.config.SaturationConfig attribute) (mmm_framework.model.trend_config.TrendConfig attribute), [1] U unassigned (mmm_framework.eda.EDAPanel attribute) uncertainty_callout (mmm_framework.reporting.config.ReportConfig attribute) unconstrain (mmm_framework.continuous_learning.acquisition.Transform attribute) unconstrain_draws() (mmm_framework.continuous_learning.acquisition.ThetaMap method) UNCONSTRAINED (mmm_framework.mmm_extensions.config.CrossEffectType attribute) unconstrained() (mmm_framework.mmm_extensions.builders.CrossEffectConfigBuilder method) (mmm_framework.mmm_extensions.builders.EffectPriorConfigBuilder method) uniformity_chisq() (in module mmm_framework.diagnostics.sbc) unit (mmm_framework.config.RoleBinding attribute) (mmm_framework.config.VariableConfig attribute) units (mmm_framework.estimands.spec.Estimand attribute) (mmm_framework.estimands.spec.EstimandResult attribute) unstandardize_array() (in module mmm_framework.data_preparation) update_artifact_payload() (in module mmm_framework.platform.sessions) update_learning_program() (in module mmm_framework.platform.sessions) update_learning_wave() (in module mmm_framework.platform.sessions) update_project() (in module mmm_framework.platform.sessions) update_session() (in module mmm_framework.platform.sessions) update_user() (in module mmm_framework.platform.sessions) updated_at (mmm_framework.jobs.JobProgress attribute) upsert_budget_plan() (in module mmm_framework.platform.sessions) upsert_delivery() (in module mmm_framework.platform.sessions) upsert_experiment() (in module mmm_framework.platform.sessions) upsert_garden_model() (in module mmm_framework.platform.sessions) upsert_platform_figures() (in module mmm_framework.platform.sessions) use_centered() (mmm_framework.builders.model.HierarchicalConfigBuilder method) use_continuous_relaxation (mmm_framework.mmm_extensions.config.SpikeSlabConfig attribute) use_gaussian() (in module mmm_framework.planning.eig) use_grouped_media_priors (mmm_framework.config.ModelConfig attribute) use_non_centered (mmm_framework.config.HierarchicalConfig attribute) use_non_centered() (mmm_framework.builders.model.HierarchicalConfigBuilder method) use_numpyro (mmm_framework.config.ModelConfig property) (mmm_framework.jobs.JobConfig attribute) use_parametric_adstock (mmm_framework.config.ModelConfig attribute) use_shrinkage (mmm_framework.config.ControlVariableConfig attribute) (mmm_framework.dag_model_builder.node_configs.ControlNodeConfig attribute) V v_current (mmm_framework.planning.evoi.EvoiResult attribute) valid (mmm_framework.dag_model_builder.validation.ValidationResult attribute) VALID_LIKELIHOODS (in module mmm_framework.continuous_learning.model) VALID_TIME_EFFECTS (in module mmm_framework.continuous_learning.model) validate() (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) validate_class() (in module mmm_framework.garden.contract) validate_complete() (in module mmm_framework.dag_model_builder.validation) validate_dag() (in module mmm_framework.dag_model_builder.validation) validate_dag_against_data() (in module mmm_framework.dag_model_builder.validation) validate_dataset() (in module mmm_framework.eda) validate_dimensions() (mmm_framework.config.MFFConfig method) validate_fitted() (in module mmm_framework.garden.contract) validate_instance() (in module mmm_framework.garden.contract) validate_mff_structure() (in module mmm_framework.data_loader) validate_variable_dimensions() (in module mmm_framework.data_loader) ValidationIssue (class in mmm_framework.eda) ValidationResult (class in mmm_framework.dag_model_builder.validation) value (mmm_framework.calibration.likelihood.ExperimentMeasurement attribute) (mmm_framework.continuous_learning.loop.LearningState attribute) (mmm_framework.continuous_learning.planner.PlanResult attribute) (mmm_framework.eda.OutlierFlag attribute) (mmm_framework.estimands.spec.Constant attribute) (mmm_framework.estimands.spec.SetInput attribute) var_norm_rank (mmm_framework.diagnostics.sbc.SBCParamStat attribute) variable (mmm_framework.config.PriceConfig attribute) (mmm_framework.config.PromoConfig attribute) (mmm_framework.eda.DecompositionResult attribute) (mmm_framework.eda.OutlierFlag attribute) (mmm_framework.eda.ValidationIssue attribute) variable_name (mmm_framework.config.MFFColumnConfig attribute) (mmm_framework.dag_model_builder.dag_spec.DAGNode attribute) variable_names (mmm_framework.config.MFFConfig property) (mmm_framework.dag_model_builder.dag_spec.DAGSpec property) variable_value (mmm_framework.config.MFFColumnConfig attribute) VariableConfig (class in mmm_framework.config) VariableConfigBuilderMixin (class in mmm_framework.builders.base) VariableRole (class in mmm_framework.config) variables (mmm_framework.eda.EDAPanel property) VariableSelectionConfig (class in mmm_framework.mmm_extensions.config) VariableSelectionConfigBuilder (class in mmm_framework.mmm_extensions.builders) VariableSelectionMethod (class in mmm_framework.mmm_extensions.config) VariableSelectionResult (class in mmm_framework.mmm_extensions.components) (class in mmm_framework.mmm_extensions.components.variable_selection) variants (mmm_framework.validation.spec_curve.SpecSet attribute) vary_media_by_geo (mmm_framework.config.HierarchicalConfig attribute) verdict (mmm_framework.diagnostics.coverage.CoverageLevelStat attribute) (mmm_framework.diagnostics.coverage.RecoveryTargetStat attribute) verify_signoff_chain() (in module mmm_framework.platform.sessions) vif_analysis() (mmm_framework.validation.channel_diagnostics.ChannelDiagnostics method) vif_threshold (mmm_framework.eda.EDAConfig attribute) VIFCalculator (class in mmm_framework.validation.channel_diagnostics) violates (mmm_framework.synth.dgp.Scenario attribute) (mmm_framework.synth.dgp_geo.GeoScenario attribute) W WARM (mmm_framework.reporting.config.ColorPalette attribute) warning (mmm_framework.reporting.config.ColorScheme attribute) warnings (mmm_framework.dag_model_builder.validation.ValidationResult attribute) (mmm_framework.planning.experiment_optimizer.CandidateEval attribute) (mmm_framework.planning.opportunity_cost.OpportunityCostResult attribute) wave (mmm_framework.continuous_learning.loop.WaveRecord attribute) WaveRecord (class in mmm_framework.continuous_learning.loop) weekly (mmm_framework.config.SeasonalityConfig attribute) weekly() (mmm_framework.builders.mff.MFFConfigBuilder method) weekly_prior_sigma (mmm_framework.config.SeasonalityConfig attribute) weeks (mmm_framework.synth.dgp.Scenario attribute) (mmm_framework.synth.dgp_geo.GeoScenario attribute) weeks_since_evidence (mmm_framework.planning.priority.ChannelPriority attribute) WEIBULL (mmm_framework.config.AdstockType attribute) weibull() (mmm_framework.builders.prior.AdstockConfigBuilder method) (mmm_framework.config.AdstockConfig class method) WEIGHT (mmm_framework.config.DatasetRole attribute) weight (mmm_framework.validation.spec_curve.SpecFit attribute) weighting (mmm_framework.validation.spec_curve.SpecCurveResult attribute) WEIGHTING_CAVEAT (in module mmm_framework.validation.spec_curve) weights (mmm_framework.validation.spec_curve.SpecCurveResult attribute) what_if_scenario() (mmm_framework.analysis.MMMAnalyzer method) (mmm_framework.model.base.BayesianMMM method) width (mmm_framework.reporting.config.ChartConfig attribute) Window (class in mmm_framework.planning.simulation) window (mmm_framework.estimands.spec.Estimand attribute) with_adstock() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) (mmm_framework.mmm_extensions.builders.MediatorConfigBuilder method) (mmm_framework.mmm_extensions.builders.MediatorConfigBuilderExtended method) with_adstock_builder() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) with_aggregation_map() (mmm_framework.mmm_extensions.builders.AggregatedSurveyConfigBuilder method) with_aggressive_shrinkage() (mmm_framework.mmm_extensions.builders.HorseshoeConfigBuilder method) with_alignment() (mmm_framework.builders.mff.MFFConfigBuilder method) with_alignment_builder() (mmm_framework.builders.mff.MFFConfigBuilder method) with_allocation() (mmm_framework.reporting.generator.ReportBuilder method) with_alpha_prior() (mmm_framework.builders.prior.AdstockConfigBuilder method) with_analysis_period() (mmm_framework.reporting.generator.ReportBuilder method) with_awareness_mediator() (mmm_framework.mmm_extensions.builders.CombinedModelConfigBuilder method) (mmm_framework.mmm_extensions.builders.NestedModelConfigBuilder method) with_beta_prior() (mmm_framework.builders.prior.SaturationConfigBuilder method) (mmm_framework.mmm_extensions.builders.AdstockConfigBuilder method) with_bootstrap_samples() (mmm_framework.builders.model.ModelConfigBuilder method) with_campaign_column() (mmm_framework.builders.mff.MFFColumnConfigBuilder method) with_cannibalization() (mmm_framework.mmm_extensions.builders.CombinedModelConfigBuilder method) (mmm_framework.mmm_extensions.builders.MultivariateModelConfigBuilder method) with_causal_role() (mmm_framework.builders.variable.ControlVariableConfigBuilder method) with_chains() (mmm_framework.builders.model.ModelConfigBuilder method) (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) with_changepoint_prior_scale() (mmm_framework.builders.model.TrendConfigBuilder method) with_changepoint_range() (mmm_framework.builders.model.TrendConfigBuilder method) with_channel() (mmm_framework.reporting.config.ChannelColors method) with_channel_colors() (mmm_framework.reporting.generator.ReportBuilder method) with_channel_interactions() (mmm_framework.builders.model.ModelConfigBuilder method) with_client() (mmm_framework.reporting.generator.ReportBuilder method) with_coefficient_prior() (mmm_framework.builders.variable.ControlVariableConfigBuilder method) (mmm_framework.builders.variable.MediaChannelConfigBuilder method) with_color_scheme() (mmm_framework.reporting.generator.ReportBuilder method) with_column() (mmm_framework.mmm_extensions.builders.OutcomeConfigBuilder method) with_columns() (mmm_framework.builders.mff.MFFConfigBuilder method) with_columns_builder() (mmm_framework.builders.mff.MFFConfigBuilder method) with_constant_sample_size() (mmm_framework.mmm_extensions.builders.AggregatedSurveyConfigBuilder method) with_control_selection() (mmm_framework.builders.model.ModelConfigBuilder method) with_control_selection_builder() (mmm_framework.builders.model.ModelConfigBuilder method) with_cpc() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) with_cpm() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) with_creative_column() (mmm_framework.builders.mff.MFFColumnConfigBuilder method) with_credible_interval() (mmm_framework.reporting.generator.ReportBuilder method) with_dag() (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) with_dag_dict() (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) with_data() (mmm_framework.reporting.generator.ReportBuilder method) with_date_format() (mmm_framework.builders.mff.MFFConfigBuilder method) (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) with_design_effect() (mmm_framework.mmm_extensions.builders.AggregatedSurveyConfigBuilder method) with_dimensions() (mmm_framework.builders.base.VariableConfigBuilderMixin method) with_dims() (mmm_framework.builders.prior.PriorConfigBuilder method) with_direct_effect() (mmm_framework.mmm_extensions.builders.MediatorConfigBuilder method) (mmm_framework.mmm_extensions.builders.MediatorConfigBuilderExtended method) with_display_name() (mmm_framework.builders.base.VariableConfigBuilderMixin method) with_draws() (mmm_framework.builders.model.ModelConfigBuilder method) (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) with_effective_sample_size() (mmm_framework.mmm_extensions.builders.AggregatedSurveyConfigBuilder method) with_events() (mmm_framework.builders.model.ModelConfigBuilder method) with_expected_nonzero() (mmm_framework.builders.model.ControlSelectionConfigBuilder method) (mmm_framework.mmm_extensions.builders.HorseshoeConfigBuilder method) (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) with_fast_decay() (mmm_framework.builders.prior.AdstockConfigBuilder method) (mmm_framework.mmm_extensions.builders.AdstockConfigBuilder method) (mmm_framework.mmm_extensions.builders_base.AdstockBuilderMixin method) with_fill_missing_controls() (mmm_framework.builders.mff.MFFConfigBuilder method) with_fill_missing_media() (mmm_framework.builders.mff.MFFConfigBuilder method) with_fit_method() (mmm_framework.builders.model.ModelConfigBuilder method) with_floor_value() (mmm_framework.builders.variable.KPIConfigBuilder method) with_frequency() (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) with_geography_column() (mmm_framework.builders.mff.MFFColumnConfigBuilder method) with_geometric_adstock() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) with_global_df() (mmm_framework.mmm_extensions.builders.HorseshoeConfigBuilder method) with_gp_amplitude() (mmm_framework.builders.model.TrendConfigBuilder method) with_gp_boundary_factor() (mmm_framework.builders.model.TrendConfigBuilder method) with_gp_lengthscale() (mmm_framework.builders.model.TrendConfigBuilder method) with_gp_n_basis() (mmm_framework.builders.model.TrendConfigBuilder method) with_grouped_media_priors() (mmm_framework.builders.model.ModelConfigBuilder method) with_growth_prior() (mmm_framework.builders.model.TrendConfigBuilder method) with_half_cauchy_local() (mmm_framework.mmm_extensions.builders.HorseshoeConfigBuilder method) with_halo_effect() (mmm_framework.mmm_extensions.builders.CombinedModelConfigBuilder method) (mmm_framework.mmm_extensions.builders.MultivariateModelConfigBuilder method) with_heavy_tails() (mmm_framework.mmm_extensions.builders.HorseshoeConfigBuilder method) with_hierarchical() (mmm_framework.builders.model.ModelConfigBuilder method) with_hierarchical_builder() (mmm_framework.builders.model.ModelConfigBuilder method) with_hill_saturation() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) with_horseshoe_config() (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) with_inference_method() (mmm_framework.builders.model.ModelConfigBuilder method) with_insights() (mmm_framework.reporting.generator.ReportBuilder method) with_intercept_prior() (mmm_framework.builders.model.ModelConfigBuilder method) (mmm_framework.mmm_extensions.builders.OutcomeConfigBuilder method) with_kappa_bounds() (mmm_framework.builders.prior.SaturationConfigBuilder method) with_kappa_prior() (mmm_framework.builders.prior.SaturationConfigBuilder method) with_kpi() (mmm_framework.builders.mff.MFFConfigBuilder method) with_kpi_builder() (mmm_framework.builders.mff.MFFConfigBuilder method) with_kpi_name() (mmm_framework.builders.mff.MFFConfigBuilder method) with_lag() (mmm_framework.mmm_extensions.builders.CrossEffectConfigBuilder method) with_lasso_config() (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) with_legacy_blend_adstock() (mmm_framework.builders.model.ModelConfigBuilder method) with_light_tails() (mmm_framework.mmm_extensions.builders.HorseshoeConfigBuilder method) with_likelihood() (mmm_framework.builders.model.ModelConfigBuilder method) with_lkj_eta() (mmm_framework.mmm_extensions.builders.CombinedModelConfigBuilder method) (mmm_framework.mmm_extensions.builders.MultivariateModelConfigBuilder method) with_llm() (mmm_framework.reporting.generator.ReportBuilder method) with_local_df() (mmm_framework.mmm_extensions.builders.HorseshoeConfigBuilder method) with_logistic_saturation() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) with_max_lag() (mmm_framework.builders.prior.AdstockConfigBuilder method) (mmm_framework.mmm_extensions.builders.AdstockConfigBuilder method) (mmm_framework.mmm_extensions.builders_base.AdstockBuilderMixin method) with_media_effect() (mmm_framework.mmm_extensions.builders.MediatorConfigBuilder method) (mmm_framework.mmm_extensions.builders.OutcomeConfigBuilder method) with_media_prior_mode() (mmm_framework.builders.model.ModelConfigBuilder method) with_mff_data() (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) with_michaelis_menten_saturation() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) with_model() (mmm_framework.reporting.generator.ReportBuilder method) with_model_config() (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) with_monthly() (mmm_framework.builders.model.SeasonalityConfigBuilder method) with_mu_prior() (mmm_framework.builders.model.HierarchicalConfigBuilder method) with_n_changepoints() (mmm_framework.builders.model.TrendConfigBuilder method) with_n_knots() (mmm_framework.builders.model.TrendConfigBuilder method) with_non_centered_threshold() (mmm_framework.builders.model.HierarchicalConfigBuilder method) with_normal_prior() (mmm_framework.builders.variable.ControlVariableConfigBuilder method) with_normalize() (mmm_framework.builders.prior.AdstockConfigBuilder method) with_optim_maxiter() (mmm_framework.builders.model.ModelConfigBuilder method) with_optim_seed() (mmm_framework.builders.model.ModelConfigBuilder method) with_outcome_effect() (mmm_framework.mmm_extensions.builders.MediatorConfigBuilder method) with_outcomes() (mmm_framework.mmm_extensions.builders.CombinedModelConfigBuilder method) (mmm_framework.mmm_extensions.builders.MultivariateModelConfigBuilder method) with_outlet_column() (mmm_framework.builders.mff.MFFColumnConfigBuilder method) with_panel() (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) with_parametric_adstock() (mmm_framework.builders.model.ModelConfigBuilder method) with_params() (mmm_framework.builders.prior.PriorConfigBuilder method) with_parent_channel() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) with_period_column() (mmm_framework.builders.mff.MFFColumnConfigBuilder method) with_positive_media_effect() (mmm_framework.mmm_extensions.builders.MediatorConfigBuilder method) (mmm_framework.mmm_extensions.builders.MediatorConfigBuilderExtended method) with_positive_media_effects() (mmm_framework.mmm_extensions.builders.OutcomeConfigBuilder method) with_positive_prior() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) with_price() (mmm_framework.builders.model.ModelConfigBuilder method) with_prior_inclusion() (mmm_framework.mmm_extensions.builders.SpikeSlabConfigBuilder method) (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) with_prior_sigma() (mmm_framework.builders.model.SeasonalityConfigBuilder method) (mmm_framework.mmm_extensions.builders.CrossEffectConfigBuilder method) with_product_column() (mmm_framework.builders.mff.MFFColumnConfigBuilder method) with_promotions() (mmm_framework.builders.model.ModelConfigBuilder method) with_reach_frequency() (mmm_framework.builders.model.ModelConfigBuilder method) with_regularization() (mmm_framework.builders.model.ControlSelectionConfigBuilder method) (mmm_framework.mmm_extensions.builders.LassoConfigBuilder method) (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) with_ridge_alpha() (mmm_framework.builders.model.ModelConfigBuilder method) with_roi_prior() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) with_root_saturation() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) with_sample_sizes() (mmm_framework.mmm_extensions.builders.AggregatedSurveyConfigBuilder method) with_saturation() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) (mmm_framework.mmm_extensions.builders.MediatorConfigBuilder method) (mmm_framework.mmm_extensions.builders.MediatorConfigBuilderExtended method) with_saturation_builder() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) with_seasonality() (mmm_framework.builders.model.ModelConfigBuilder method) (mmm_framework.mmm_extensions.builders.OutcomeConfigBuilder method) with_seasonality_builder() (mmm_framework.builders.model.ModelConfigBuilder method) with_sensitivity() (mmm_framework.reporting.generator.ReportBuilder method) with_sharp_selection() (mmm_framework.mmm_extensions.builders.SpikeSlabConfigBuilder method) (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) with_shrinkage() (mmm_framework.builders.variable.ControlVariableConfigBuilder method) with_sigma_prior() (mmm_framework.builders.model.HierarchicalConfigBuilder method) with_slab_df() (mmm_framework.mmm_extensions.builders.HorseshoeConfigBuilder method) (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) with_slab_scale() (mmm_framework.mmm_extensions.builders.HorseshoeConfigBuilder method) (mmm_framework.mmm_extensions.builders.SpikeSlabConfigBuilder method) (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) with_slope_prior() (mmm_framework.builders.prior.SaturationConfigBuilder method) with_slow_adstock() (mmm_framework.mmm_extensions.builders.MediatorConfigBuilder method) with_slow_decay() (mmm_framework.builders.prior.AdstockConfigBuilder method) (mmm_framework.mmm_extensions.builders.AdstockConfigBuilder method) (mmm_framework.mmm_extensions.builders_base.AdstockBuilderMixin method) with_soft_selection() (mmm_framework.mmm_extensions.builders.SpikeSlabConfigBuilder method) with_spend_column() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) with_spike_scale() (mmm_framework.mmm_extensions.builders.SpikeSlabConfigBuilder method) with_spike_slab_config() (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) with_spline_degree() (mmm_framework.builders.model.TrendConfigBuilder method) with_spline_prior_sigma() (mmm_framework.builders.model.TrendConfigBuilder method) with_split_dimensions() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) with_strong_correlations() (mmm_framework.mmm_extensions.builders.MultivariateModelConfigBuilder method) with_strong_regularization() (mmm_framework.mmm_extensions.builders.LassoConfigBuilder method) with_strong_saturation() (mmm_framework.builders.prior.SaturationConfigBuilder method) (mmm_framework.mmm_extensions.builders.SaturationConfigBuilder method) (mmm_framework.mmm_extensions.builders_base.SaturationBuilderMixin method) with_subtitle() (mmm_framework.reporting.generator.ReportBuilder method) with_survey_config() (mmm_framework.mmm_extensions.builders.MediatorConfigBuilder method) (mmm_framework.mmm_extensions.builders.MediatorConfigBuilderExtended method) with_tanh_saturation() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) with_target_accept() (mmm_framework.builders.model.ModelConfigBuilder method) with_temperature() (mmm_framework.mmm_extensions.builders.SpikeSlabConfigBuilder method) (mmm_framework.mmm_extensions.builders.VariableSelectionConfigBuilder method) with_theta_prior() (mmm_framework.builders.prior.AdstockConfigBuilder method) with_tight_prior() (mmm_framework.mmm_extensions.builders.EffectPriorConfigBuilder method) with_time_varying() (mmm_framework.builders.variable.MediaChannelConfigBuilder method) with_title() (mmm_framework.reporting.generator.ReportBuilder method) with_traffic_mediator() (mmm_framework.mmm_extensions.builders.CombinedModelConfigBuilder method) (mmm_framework.mmm_extensions.builders.NestedModelConfigBuilder method) with_trend() (mmm_framework.mmm_extensions.builders.OutcomeConfigBuilder method) with_trend_config() (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) with_tune() (mmm_framework.builders.model.ModelConfigBuilder method) (mmm_framework.dag_model_builder.builder.DAGModelBuilder method) with_unconstrained_media_effect() (mmm_framework.mmm_extensions.builders.MediatorConfigBuilderExtended method) with_uniform_prior() (mmm_framework.mmm_extensions.builders.AdstockConfigBuilder method) with_unit() (mmm_framework.builders.base.VariableConfigBuilderMixin method) with_updates() (mmm_framework.reporting.config.SectionConfig method) with_variable_name_column() (mmm_framework.builders.mff.MFFColumnConfigBuilder method) with_variable_value_column() (mmm_framework.builders.mff.MFFColumnConfigBuilder method) with_weak_correlations() (mmm_framework.mmm_extensions.builders.MultivariateModelConfigBuilder method) with_weak_regularization() (mmm_framework.mmm_extensions.builders.LassoConfigBuilder method) with_weak_saturation() (mmm_framework.builders.prior.SaturationConfigBuilder method) (mmm_framework.mmm_extensions.builders.SaturationConfigBuilder method) (mmm_framework.mmm_extensions.builders_base.SaturationBuilderMixin method) with_weekly() (mmm_framework.builders.model.SeasonalityConfigBuilder method) with_wide_prior() (mmm_framework.mmm_extensions.builders.EffectPriorConfigBuilder method) with_yearly() (mmm_framework.builders.model.SeasonalityConfigBuilder method) without_adstock() (mmm_framework.mmm_extensions.builders.MediatorConfigBuilder method) (mmm_framework.mmm_extensions.builders.MediatorConfigBuilderExtended method) without_direct_effect() (mmm_framework.mmm_extensions.builders.MediatorConfigBuilder method) (mmm_framework.mmm_extensions.builders.MediatorConfigBuilderExtended method) without_normalization() (mmm_framework.mmm_extensions.builders.AdstockConfigBuilder method) (mmm_framework.mmm_extensions.builders_base.AdstockBuilderMixin method) without_saturation() (mmm_framework.mmm_extensions.builders.MediatorConfigBuilder method) (mmm_framework.mmm_extensions.builders.MediatorConfigBuilderExtended method) without_seasonality() (mmm_framework.mmm_extensions.builders.OutcomeConfigBuilder method) without_trend() (mmm_framework.mmm_extensions.builders.OutcomeConfigBuilder method) world_optimal_allocation() (in module mmm_framework.continuous_learning.loop) worst() (mmm_framework.diagnostics.coverage.RecoveryCoverageResult method) (mmm_framework.diagnostics.sbc.SBCResult method) X X_controls (mmm_framework.data_loader.PanelDataset attribute) (mmm_framework.data_preparation.PreparedData attribute) X_controls_raw (mmm_framework.data_preparation.PreparedData attribute) X_media (mmm_framework.data_loader.PanelDataset attribute) X_media_adstocked (mmm_framework.data_preparation.PreparedData attribute) X_media_raw (mmm_framework.data_preparation.PreparedData attribute) (mmm_framework.mmm_extensions.models.base.BaseExtendedMMM property) x_tickformat (mmm_framework.reporting.config.ChartConfig attribute) x_title (mmm_framework.reporting.config.ChartConfig attribute) Y y (mmm_framework.data_loader.PanelDataset attribute) (mmm_framework.data_preparation.PreparedData attribute) (mmm_framework.synth.dgp.Scenario attribute) (mmm_framework.synth.dgp_geo.GeoScenario attribute) y_mean (mmm_framework.data_preparation.ScalingParameters attribute) (mmm_framework.garden.contract.HasScaling attribute) (mmm_framework.model.results.ComponentDecomposition attribute) (mmm_framework.model.results.MMMResults attribute) y_pred_hdi_high (mmm_framework.model.results.PredictionResults attribute) y_pred_hdi_low (mmm_framework.model.results.PredictionResults attribute) y_pred_mean (mmm_framework.model.results.PredictionResults attribute) y_pred_samples (mmm_framework.model.results.PredictionResults attribute) y_pred_std (mmm_framework.model.results.PredictionResults attribute) y_raw (mmm_framework.data_preparation.PreparedData attribute) (mmm_framework.mmm_extensions.models.base.BaseExtendedMMM property) y_std (mmm_framework.data_preparation.ScalingParameters attribute) (mmm_framework.garden.contract.HasScaling attribute) (mmm_framework.model.results.ComponentDecomposition attribute) (mmm_framework.model.results.MMMResults attribute) y_tickformat (mmm_framework.reporting.config.ChartConfig attribute) y_title (mmm_framework.reporting.config.ChartConfig attribute) yearly (mmm_framework.config.SeasonalityConfig attribute) yearly_order (mmm_framework.jobs.JobConfig attribute) yearly_prior_sigma (mmm_framework.config.SeasonalityConfig attribute) Z z_spread (mmm_framework.diagnostics.coverage.RecoveryTargetStat attribute) zero_inflation_warn_pct (mmm_framework.eda.DataValidationConfig attribute) ZeroInput (class in mmm_framework.estimands.spec)