pymc.KroneckerNormal.dist#

classmethod KroneckerNormal.dist(mu, covs=None, chols=None, evds=None, sigma=None, *args, **kwargs)[source]#

Creates a tensor variable corresponding to the cls distribution.

Parameters
dist_paramsarray_like

The inputs to the RandomVariable Op.

shapeint, tuple, Variable, optional

A tuple of sizes for each dimension of the new RV.

**kwargs

Keyword arguments that will be forwarded to the Aesara RV Op. Most prominently: size or dtype.

Returns
rvTensorVariable

The created random variable tensor.