covmats.ConstantPriorTerm#

class covmats.ConstantPriorTerm(prior_values: ndarray[tuple[Any, ...], dtype[float64]])[source]#

Represent a prior (no influence of beta).

__init__(prior_values: ndarray[tuple[Any, ...], dtype[float64]]) → None[source]#

Initialize the instance.

Parameters:: prior_values (NDArrayFloat) – Values given to the prior term.

Properties

Methods

`get_gradient_dot_product`	Return the dot product of the gradient of the prior and the given input vector.
`get_values`	Return the values of the prior term.