covmats.MeanPriorTerm.get_gradient_dot_product

MeanPriorTerm.get_gradient_dot_product(input: ndarray[tuple[Any, ...], dtype[float64]]) → float | ndarray[tuple[Any, ...], dtype[float64]]

Return the dot product of the gradient of the prior and the given input vector.

Parameters:

params (NDArrayFloat) – Values with which to compute the prior gradient dot product.

Returns:

Prior gradient-input vector dot product.

Return type:

NDArrayFloat