InverseScaledLogisticSaturation

class pymc_marketing.mmm.components.saturation.InverseScaledLogisticSaturation(priors=None, prefix=None)

Wrapper around inverse scaled logistic saturation function.

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

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

Methods

InverseScaledLogisticSaturation.__init__([...])
InverseScaledLogisticSaturation.apply(x[, dims])	Call within a model context.
InverseScaledLogisticSaturation.function(x, ...)	Inverse scaled logistic saturation function.
InverseScaledLogisticSaturation.plot_curve(curve)	Plot curve HDI and samples.
InverseScaledLogisticSaturation.plot_curve_hdi(curve)	Plot the HDI of the curve.
InverseScaledLogisticSaturation.plot_curve_samples(curve)	Plot samples from the curve.
InverseScaledLogisticSaturation.sample_curve([...])	Sample the curve of the saturation transformation given parameters.
InverseScaledLogisticSaturation.sample_prior([...])	Sample the priors for the transformation.
InverseScaledLogisticSaturation.set_dims_for_all_priors(dims)	Set the dims for all priors.
InverseScaledLogisticSaturation.to_dict()	Convert the transformation to a dictionary.
InverseScaledLogisticSaturation.update_priors(priors)	Update the priors for a function after initialization.

Attributes

combined_dims	Get the combined dims for all the parameters.
default_priors
function_priors	Get the priors for the function.
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.