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bass
data
to_bass_dataset
model
F
create_bass_model
f
BassModel
default_model_config
default_sampler_config
fit_result
id
output_var
posterior
posterior_predictive
predictions
prior
prior_predictive
version
idata
sampler_config
model_config
model
is_fitted_
BassPriors
m
p
q
likelihood
plotting
plot_adoption_curve
plot_cumulative
plot_decomposition
plot_peak
causal_utils
same_markov_equivalence_class_CPdag
clv
distributions
BetaGeoBetaBinom
BetaGeoNBD
ModifiedBetaGeoNBD
ParetoNBD
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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
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
bayesian_blp
BayesianBLP
default_model_config
default_sampler_config
fit_result
id
output_var
posterior
posterior_predictive
predictions
prior
prior_predictive
version
idata
sampler_config
model_config
model
is_fitted_
consideration_set_logit
ConsiderationInstruments
Z_tilde
z_instrument_names
ConsiderationSetMixedLogit
default_model_config
default_sampler_config
fit_result
id
output_var
posterior
posterior_predictive
predictions
prior
prior_predictive
version
idata
sampler_config
model_config
model
is_fitted_
maxdiff
prepare_maxdiff_data
MaxDiffArrays
item_idx
mask
best_pos
worst_pos
resp_idx
n_tasks
n_respondents
n_items
k_max
item_to_idx
respondent_to_idx
MaxDiffMixedLogit
default_model_config
default_sampler_config
fit_result
id
output_var
posterior
posterior_predictive
predictions
prior
prior_predictive
version
idata
sampler_config
model_config
model
is_fitted_
mixed_logit
MixedLogit
default_model_config
default_sampler_config
fit_result
id
output_var
posterior
posterior_predictive
predictions
prior
prior_predictive
version
idata
sampler_config
model_config
model
is_fitted_
mnl_logit
MNLogit
default_model_config
default_sampler_config
fit_result
id
output_var
posterior
posterior_predictive
predictions
prior
prior_predictive
version
idata
sampler_config
model_config
model
is_fitted_
mv_its
plot_product
MVITS
default_model_config
default_sampler_config
fit_result
id
output_var
posterior
posterior_predictive
predictions
prior
prior_predictive
version
idata
sampler_config
model_config
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is_fitted_
nested_logit
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output_var
posterior
posterior_predictive
predictions
prior
prior_predictive
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idata
sampler_config
model_config
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is_fitted_
synthetic_data
generate_blp_panel
generate_maxdiff_conjoint_data
generate_maxdiff_data
generate_saturated_data
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taste_profiles
brand_buyer_nu
buyer_nu_posterior
consumer_taste_grid
demand_concentration_gini
plot_brand_buyer_heatmap
plot_buyer_profile_heatmap
plot_demand_concentration
plot_taste_profile_stacked
taste_type_demand_share
data
fivetran
process_fivetran_ad_reporting
process_fivetran_shopify_unique_orders
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idata
mmm_wrapper
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schema
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utils
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aggregate_idata_time
filter_idata_by_dates
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idata_from_zarr
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subsample_draws
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ExpQuad
Matern52
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m
L
eta_lam
ls_mu
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cov_func
metrics
crps
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mlflow
autolog
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log_types_of_parameters
log_versions
MMMWrapper
predict_type_hints
mmm
additive_effect
safe_to_datetime
ControlMuEffect
contribution_var_name
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prior
data_vars
prefix
DataVarMuEffect
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data_vars
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EventAdditiveEffect
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end_dates
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trend
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scipy_result
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channel_data_var
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date_dim
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adstock
idata
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type
value
jac
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channel_scales
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channel_columns
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fun
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builders
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build
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forced
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base
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saturation
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LogisticSaturation
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rows
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dtype
name
values
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max_window
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end
in_window
actual_dates
in_eval
eval_dates
data_conversion
to_mmm_dataset
decomposition
identity_counterfactual_component
log_counterfactual_remove_component
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safe_proportional_share
dims
evaluation
calculate_metric_distributions
compute_summary_metrics
summarize_metric_distributions
events
days_from_reference
AsymmetricGaussianBasis
combined_dims
default_priors
function_priors
model_config
prefix
priors
variable_mapping
Basis
combined_dims
function_priors
model_config
prefix
priors
variable_mapping
default_priors
function
EventEffect
model_config
basis
effect_size
dims
GaussianBasis
combined_dims
default_priors
function_priors
model_config
prefix
priors
variable_mapping
HalfGaussianBasis
combined_dims
default_priors
function_priors
model_config
prefix
priors
variable_mapping
fourier
generate_fourier_modes
FourierBase
model_config
nodes
n_order
days_in_period
prefix
prior
variable_name
MonthlyFourier
model_config
nodes
days_in_period
n_order
prefix
prior
variable_name
WeeklyFourier
model_config
nodes
days_in_period
n_order
prefix
prior
variable_name
YearlyFourier
model_config
nodes
days_in_period
n_order
prefix
prior
variable_name
hsgp
approx_hsgp_hyperparams
create_complexity_penalizing_prior
create_constrained_inverse_gamma_prior
create_eta_prior
create_m_and_L_recommendations
HSGP
model_config
ls
eta
L
centered
drop_first
cov_func
m
X
X_mid
dims
transform
demeaned_basis
HSGPBase
model_config
m
X
X_mid
dims
transform
demeaned_basis
HSGPPeriodic
model_config
ls
scale
cov_func
period
m
X
X_mid
dims
transform
demeaned_basis
PeriodicCovFunc
Periodic
SoftPlusHSGP
model_config
ls
eta
L
centered
drop_first
cov_func
m
X
X_mid
dims
transform
demeaned_basis
incrementality
IdentityLinkReducer
IncrementalReducer
Incrementality
LogLinkReducer
lift_test
add_cost_per_target_observations
add_cost_per_target_potentials
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
default_priors
model_config
priors
dims
n_changepoints
include_intercept
prefix
link
get_link_spec
IdentityLinkSpec
link
LinkFunction
IDENTITY
LOG
LinkSpec
link
LogLinkSpec
link
media_transformation
MediaConfig
name
columns
media_transformation
MediaConfigList
media_values
MediaTransformation
dims
adstock
saturation
adstock_first
mmm
BudgetOptimizerWrapper
plot
summary
adstock
idata
MMM
data
default_model_config
default_sampler_config
fit_result
frozen_deterministics
id
incrementality
output_var
plot
plot_interactive
plot_suite
posterior
posterior_predictive
predictions
prior
prior_predictive
sensitivity
summary
version
y
idata
sampler_config
model_config
model
is_fitted_
multidimensional
optimization_variables
align_to_model_coords
LeverVariable
size
name
dims
coords
flat_dim
MediaVariable
shape
size
name
dims
coords
flat_dim
OptimizationVariable
size
name
dims
coords
flat_dim
OptimizationVariables
plot
MMMPlotSuite
plot_interactive
MMMPlotlyFactory
custom_dims
plotting
budget
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cv
MMMCVPlotSuite
decomposition
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diagnostics
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sensitivity
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suite
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transformations
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preprocessing
preprocessing_method_X
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channel_columns
MaxAbsScaleTarget
target_transformer
StandardizeControls
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scaling
deserialize_variable_scaling
panel_channel_fixed_scaling_remaining_dims
validate_fixed_scaling_keys
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model_config
method
dims
FixedScaling
method
model_config
value
dims
Scaling
model_config
target
channel
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model_config
dims
sensitivity_analysis
SensitivityAnalysis
spend_reach
linear_predictor
resolve_channel_dependent_effects
ChannelDependentEffect
contribution_var
label
declared_carryover_lags
declared_evaluation_mode
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REACH_TOLERANCE
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effective_l_max
requires_full_axis
measured
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requires_full_axis
summary
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cv
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factory
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helpers
compute_channel_shares
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compute_waterfall_components
convert_output
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get_channel_x_data
get_prior_for_plot
prepare_sensitivity_data
StatsHelper
sensitivity
sensitivity_analysis
sensitivity_marginal
sensitivity_uplift
time_slice_cross_validation
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X_train
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X_test
y_test
idata
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plot
plot_suite
summary
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
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After
Before
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TanhSaturationBaselinedParameters
gain
r
x0
TanhSaturationParameters
b
c
WeibullType
PDF
CDF
tvp
create_hsgp_from_config
create_time_varying_gp_multiplier
infer_time_index
is_hsgp_kwargs_format
time_varying_prior
types
MMMBuilder
utility
adjusted_value_at_risk_score
average_response
conditional_value_at_risk
diversification_ratio
mean_tightness_score
portfolio_entropy
raroc
sharpe_ratio
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value_at_risk
utils
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ValidateDateColumn
date_column
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xarray_utils
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create_sample_kwargs
requires_model
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default_sampler_config
fit_result
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posterior
posterior_predictive
predictions
prior
prior_predictive
version
idata
sampler_config
model_config
model
is_fitted_
ModelFitter
model
idata
sampler_config
is_fitted_
ModelIO
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version
idata
sampler_config
model_config
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default_sampler_config
fit_result
id
output_var
posterior
posterior_predictive
predictions
prior
prior_predictive
version
idata
sampler_config
model_config
model
is_fitted_
model_config
parse_model_config
model_graph
deterministics_to_flat
paths
create_data_url
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url
pie
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default_sampler_config
fit_result
id
output_var
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posterior_predictive
predictions
prior
prior_predictive
version
idata
sampler_config
model_config
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