consumer_taste_grid#
- pymc_marketing.customer_choice.taste_profiles.consumer_taste_grid(model)[source]#
Halton grid as a labelled DataFrame.
- Parameters:
- model
BayesianBLP Constructed (need not be fitted) BayesianBLP.
- model
- Returns:
pd.DataFrameShape
(n_mc_draws, n_random). Column names are the random-coefficient names, in the same order asmodel._random_coef_names. Each row is one consumer type; columndcarries the standard-normal taste draw for that random-coefficient dimension.