GaussianLogLike¶

class pyapprox.bayesian_inference.markov_chain_monte_carlo.GaussianLogLike(model, data, noise_covar)[source]¶

Bases: object

A Gaussian log-likelihood function for a model with parameters given in sample

Methods Summary

`__call__`(samples)	Call self as a function.
`noise_covariance_inverse`(noise_covar)

Methods Documentation