Censored

class pymc_marketing.prior.Censored(distribution: InstanceOf[Prior], lower: float | InstanceOf[pt.TensorVariable] = -inf, upper: float | InstanceOf[pt.TensorVariable] = inf)

Backwards-compatible wrapper for the CensoredPrior class.

Methods

Censored.__init__(*args, **kwargs)	Initialize the CensoredPrior class with the given arguments.
Censored.create_likelihood_variable(name, ...)	Create observed censored variable.
Censored.create_variable(name)	Create censored random variable.
Censored.from_dict(data)	Create a censored distribution from a dictionary.
Censored.sample_prior([coords, name])	Sample the prior distribution for the variable.
Censored.to_dict()	Convert the censored distribution to a dictionary.
Censored.to_graph()	Generate a graph of the variables.

Attributes

dims	The dims from the distribution to censor.
lower
upper
distribution