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  • bass
    • model
      • F
      • create_bass_model
      • f
      • BassPriors
  • causal_utils
    • same_markov_equivalence_class_CPdag
  • clv
    • distributions
      • BetaGeoBetaBinom
      • BetaGeoNBD
      • ModifiedBetaGeoNBD
      • ParetoNBD
      • ShiftedBetaGeometric
    • models
      • basic
        • CLVModel
      • beta_geo
        • BetaGeoModel
      • beta_geo_beta_binom
        • BetaGeoBetaBinomModel
      • gamma_gamma
        • BaseGammaGammaModel
        • GammaGammaModel
        • GammaGammaModelIndividual
      • modified_beta_geo
        • ModifiedBetaGeoModel
      • pareto_nbd
        • ParetoNBDModel
      • shifted_beta_geo
        • ShiftedBetaGeoModel
        • ShiftedBetaGeoModelIndividual
    • plotting
      • plot_customer_exposure
      • plot_expected_purchases_over_time
      • plot_expected_purchases_ppc
      • plot_frequency_recency_matrix
      • plot_probability_alive_matrix
    • utils
      • customer_lifetime_value
      • rfm_segments
      • rfm_summary
      • rfm_train_test_split
      • to_xarray
  • customer_choice
    • consideration_set_logit
      • ConsiderationInstruments
      • ConsiderationSetMixedLogit
    • maxdiff
      • prepare_maxdiff_data
      • MaxDiffArrays
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    • mixed_logit
      • MixedLogit
    • mnl_logit
      • MNLogit
    • mv_its
      • plot_product
      • MVITS
    • nested_logit
      • NestedLogit
    • synthetic_data
      • generate_maxdiff_conjoint_data
      • generate_maxdiff_data
      • generate_saturated_data
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  • data
    • fivetran
      • process_fivetran_ad_reporting
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      • FivetranAccessor
    • idata
      • mmm_wrapper
        • MMMIDataWrapper
      • schema
        • InferenceDataGroupSchema
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      • utils
        • aggregate_idata_dims
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        • filter_idata_by_dims
        • get_posterior_predictive
        • get_prior
        • get_prior_predictive
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  • hsgp_kwargs
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  • metrics
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    • constraints
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      • original_scale_prediction_from_mu
      • safe_proportional_share
    • dims
    • evaluation
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      • summarize_metric_distributions
    • events
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      • Basis
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    • fourier
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    • hsgp
      • approx_hsgp_hyperparams
      • create_complexity_penalizing_prior
      • create_constrained_inverse_gamma_prior
      • create_eta_prior
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      • HSGP
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      • PeriodicCovFunc
      • SoftPlusHSGP
    • incrementality
      • Incrementality
    • lift_test
      • add_cost_per_target_observations
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      • add_lift_measurements_to_likelihood_from_saturation
      • add_saturation_observations
      • assert_is_subset
      • assert_monotonic
      • create_time_varying_saturation
      • exact_row_indices
      • scale_channel_lift_measurements
      • scale_lift_measurements
      • scale_target_for_lift_measurements
    • linear_regression
      • FancyLinearRegression
    • linear_trend
      • LinearTrend
    • link
      • get_link_spec
      • IdentityLinkSpec
      • LinkFunction
      • LinkSpec
      • LogLinkSpec
    • media_transformation
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    • mmm
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    • multidimensional
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    • preprocessing
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    • scaling
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    • sensitivity_analysis
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    • summary
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    • time_slice_cross_validation
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      • TimeSliceCrossValidator
    • transformers
      • batched_convolution
      • binomial_adstock
      • delayed_adstock
      • geometric_adstock
      • hill_function
      • hill_saturation_sigmoid
      • inverse_scaled_logistic_saturation
      • logistic_saturation
      • michaelis_menten
      • root_saturation
      • tanh_saturation
      • tanh_saturation_baselined
      • weibull_adstock
      • ConvMode
      • TanhSaturationBaselinedParameters
      • TanhSaturationParameters
      • WeibullType
    • tvp
      • create_hsgp_from_config
      • create_time_varying_gp_multiplier
      • infer_time_index
      • is_hsgp_kwargs_format
      • time_varying_prior
    • types
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    • utility
      • adjusted_value_at_risk_score
      • average_response
      • conditional_value_at_risk
      • diversification_ratio
      • mean_tightness_score
      • portfolio_entropy
      • raroc
      • sharpe_ratio
      • tail_distance
      • value_at_risk
    • utils
      • add_noise_to_channel_allocation
      • apply_sklearn_transformer_across_dim
      • build_contributions
      • cdf
      • create_index
      • create_new_spend_data
      • create_zero_dataset
      • density
      • transform_1d_array
    • validating
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      • validation_method_y
      • ValidateChannelColumns
      • ValidateControlColumns
      • ValidateDateColumn
      • ValidateTargetColumn
  • model_builder
    • create_idata_accessor
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    • requires_model
    • ModelBuilder
    • ModelIO
    • RegressionModelBuilder
  • model_config
    • parse_model_config
  • model_graph
    • deterministics_to_flat
    • get_symbolic_rv_shape
  • paths
    • create_data_url
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  • plot
    • create_legend_handles
    • drop_scalar_coords
    • generate_colors
    • get_plot_coords
    • get_total_coord_size
    • plot_curve
    • plot_hdi
    • plot_samples
    • random_samples
    • selections
    • set_subplot_kwargs_defaults
  • prior
    • deserialize_alternative_prior
    • is_alternative_prior
  • pytensor_utils
    • extract_response_distribution
    • merge_models
    • validate_unique_value_vars
    • ModelSamplerEstimator
  • serialization
    • DeferredFactory
    • DeserializationContext
    • Serializable
    • SerializableBaseModel
    • TypeRegistry
  • serialization_migration
    • main
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  • special_priors
    • LaplacePrior
    • LogNormalPrior
    • MaskedPrior
    • SpecialPrior
  • utils
    • from_netcdf
  • API
  • mmm
  • link
  • IdentityLinkSpec
  • IdentityLinkSpec.inverse_link

IdentityLinkSpec.inverse_link#

IdentityLinkSpec.inverse_link(mu)[source]#

Return mu unchanged (identity transform).

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  • IdentityLinkSpec.inverse_link()
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