papyri
{ } Raw JSON

bundles / scipy 1.17.1 / scipy / stats / _multivariate / matrix_normal_frozen

class

scipy.stats._multivariate:matrix_normal_frozen

source: /scipy/stats/_multivariate.py :1471

Signature

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

Members

Summary

Create a frozen matrix normal distribution.

Parameters

%(_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.

Examples

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)
✗

Aliases

  • scipy.stats._multivariate.matrix_normal_frozen