class_docstr: In its most common representation, a multivariate Gaussian distribution
  over X1, X2, ..., Xn is characterized by an n-dimensional mean vector μ,
  and a symmetric n x n covariance matrix Σ.
  
  This is the base class for its representation.
code: def __truediv__(self, other):
      return self.divide(other, inplace=False)
  
imports: import numpy
  from scipy.stats import multivariate_normal
  from pgmpy.factors.distributions import BaseDistribution
label_desc: Use image node_id 16 for calling the GaussianDistribution obj's underlying member method code with example usage: obj.__truediv__(other) and returns: self