transformers

Media transformation functions for Marketing Mix Models.

Functions

batched_convolution(x, w[, axis, mode])	Apply a 1D convolution in a vectorized way across multiple batch dimensions.
delayed_adstock(x[, alpha, theta, l_max, ...])	Delayed adstock transformation.
geometric_adstock(x[, alpha, l_max, ...])	Geometric adstock transformation.
logistic_saturation(x[, lam])	Logistic saturation transformation.
michaelis_menten(x, alpha, lam)	Evaluate the Michaelis-Menten function for given values of x, alpha, and lambda.
tanh_saturation(x[, b, c])	Tanh saturation transformation.
tanh_saturation_baselined(x, x0[, gain, r])	Baselined Tanh Saturation.
weibull_adstock(x[, lam, k, l_max, axis, ...])	Weibull Adstocking Transformation.

Classes

ConvMode(value)	An enumeration.
TanhSaturationBaselinedParameters(x0, gain, r)	Representation of tanh saturation parameters in baselined form.
TanhSaturationParameters(b, c)	Container for tanh saturation parameters.
WeibullType(value)	An enumeration.