utils

Utility functions for the Marketing Mix Modeling module.

Functions

apply_sklearn_transformer_across_dim(data, ...)	Helper function in order to use scikit-learn functions with the xarray target.
compute_sigmoid_second_derivative(x, alpha, lam)	Compute the second derivative of the extended sigmoid function.
create_new_spend_data(spend, ...[, ...])	Create new spend data for the channel forward pass.
estimate_menten_parameters(channel, ...)	Estimate the parameters for the Michaelis-Menten function using curve fitting.
estimate_sigmoid_parameters(channel, ...)	Estimate the parameters for the sigmoid function using curve fitting.
find_sigmoid_inflection_point(alpha, lam)	Find the inflection point of the extended sigmoid function.
generate_fourier_modes(periods, n_order)	Generate Fourier modes.
sigmoid_saturation(x, alpha, lam)	type alpha: float | ndarray | ndarray[Any, dtype[float64]]
standardize_scenarios_dict_keys(d, keywords)	Standardize the keys in a dictionary based on a list of keywords.