bilby.core.likelihood.Likelihood

class bilby.core.likelihood.Likelihood(parameters=None)

Bases: object

__init__(parameters=None)

Empty likelihood class to be subclassed by other likelihoods

Parameters:

parameters: dict

A dictionary of the parameter names and associated values

__call__(*args, **kwargs)

Call self as a function.

Methods

__init__([parameters])	Empty likelihood class to be subclassed by other likelihoods
log_likelihood([parameters])
log_likelihood_ratio([parameters])	Difference between log likelihood and noise log likelihood
noise_log_likelihood()

Attributes

marginalized_parameters
meta_data
parameters

log_likelihood(parameters=None)

Returns:

float

log_likelihood_ratio(parameters=None)

Difference between log likelihood and noise log likelihood

Returns:

float

noise_log_likelihood()

Returns:

float