`scipy.stats._multivariate:matrix_normal_frozen`

Signature

   class     matrix_normal_frozen (    mean    =  None   ,    rowcov    =  1   ,    colcov    =  1   ,    seed    =  None     )

Create a frozen matrix normal distribution.

%(_matnorm_doc_default_callparams)s
seed : {None, int, `numpy.random.Generator`, `numpy.random.RandomState`}, optional: If seed is None the ~np.random.RandomState singleton is used. If seed is an int, a new RandomState instance is used, seeded with seed. If seed is already a RandomState or Generator instance, then that object is used. Default is None.

import numpy as np
from scipy.stats import matrix_normal

✓

distn = matrix_normal(mean=np.zeros((3,3)))

✓

X = distn.rvs(); X
distn.pdf(X)
distn.logpdf(X)

✗