spey.backends.distributions.ConstraintModel

class spey.backends.distributions.ConstraintModel(pdf_descriptions: List[Dict[str, Any]])

Constraint term modelled as a Gaussian distribution.

Parameters:

pdf_descriptions (List[Dict[Text, Any]]) –

description of the pdf component. Dictionary elements should contain two keywords

• "distribution_type" (Text): "normal" or "multivariatenormal"

• "args": Input arguments for the distribution

• "kwargs": Input keyword arguments for the distribution

__init__(pdf_descriptions: List[Dict[str, Any]])

Methods

__init__(pdf_descriptions)
expected_data()	The expectation value of the constraint model.
log_prob(pars)	Compute log-probability
sample(pars, sample_size)	Generate samples