boax.core.models.likelihoods.gaussian

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boax.core.models.likelihoods.gaussian#

boax.core.models.likelihoods.gaussian(noise)#

The gaussian likelihood function.

Example

>>> likelihood = gaussian(1e-4)
>>> predictive = likelihood(mvn)
Parameters:

noise (Union[Array, ndarray, bool, number, float, int]) – The noise parameter.

Return type:

Likelihood[MultivariateNormal, MultivariateNormal]

Returns:

The gaussian Likelihood function.

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