WeibullAdstock#

class pymc_marketing.mmm.components.adstock.WeibullAdstock(l_max, normalize=True, kind=WeibullType.PDF, mode=ConvMode.After, priors=None, prefix=None)[source]#

Wrapper around weibull adstock function.

For more information, see pymc_marketing.mmm.transformers.weibull_adstock().

(Source code, png, hires.png, pdf)

../../_images/pymc_marketing-mmm-components-adstock-WeibullAdstock-1.png

Methods

`WeibullAdstock.__init__`(l_max[, normalize, ...])
`WeibullAdstock.apply`(x[, dims])	Called within a model context.
`WeibullAdstock.function`(x, lam, k)
`WeibullAdstock.plot_curve`(curve[, ...])	Plot curve HDI and samples.
`WeibullAdstock.plot_curve_hdi`(curve[, ...])	Plot the HDI of the curve.
`WeibullAdstock.plot_curve_samples`(curve[, ...])	Plot samples from the curve.
`WeibullAdstock.sample_curve`(parameters[, amount])	Sample the adstock transformation given parameters.
`WeibullAdstock.sample_prior`([coords])	Sample the priors for the transformation.
`WeibullAdstock.update_priors`(priors)	Helper to update the priors for a function after initialization.

Attributes

`default_priors`
`lookup_name`
`model_config`	Mapping from variable name to prior for the model.
`prefix`
`variable_mapping`	Mapping from parameter name to variable name in the model.