class_docstr: Multivariate Normal Proposal Distribution.
class_docstr_tok: ["Multivariate","Normal","Proposal","Distribution","."]
code: def __init__(self, s):
      n, m = s.shape
      if n != m:
          raise ValueError("Covariance matrix is not symmetric.")
      self.n = n
      self.chol = scipy.linalg.cholesky(s, lower=True)
      super(MultivariateNormalProposal, self).__init__()
  
imports: from __future__ import division
  import scipy.linalg
  import numpy
  import numpy.random
label_desc: Use image node_id 1 to create a new MultivariateNormalProposal object from inherited base classes: Proposal with example: obj = MultivariateNormalProposal(s)