Prior

class pymc_marketing.prior.Prior(*args, **kwargs)

Backwards-compatible wrapper for the Prior class.

Methods

Prior.__init__(*args, **kwargs)	Initialize the Prior class with the given arguments.
Prior.constrain(lower, upper[, mass, kwargs])	Create a new prior with a given mass constrained within the given bounds.
Prior.create_likelihood_variable(name, mu, ...)	Create a likelihood variable from the prior.
Prior.create_variable(name)	Create a PyMC variable from the prior.
Prior.deepcopy()	Return a deep copy of the prior.
Prior.from_dict(data)	Create a Prior from the dictionary format.
Prior.sample_prior([coords, name])	Sample the prior distribution for the variable.
Prior.to_dict()	Convert the prior to dictionary format.
Prior.to_graph()	Generate a graph of the variables.

Attributes

dims	The dimensions of the variable.
distribution	The name of the PyMC distribution.
non_centered_distributions
preliz	Create an equivalent preliz distribution.
transform	The name of the transform to apply to the variable after it is created.
pymc_distribution
pytensor_transform