class_docstr: Multivariate Gaussian Distribution 
class_docstr_tok: ["Multivariate","Gaussian","Distribution"]
docstr: Returns the log pdf at x 
docstr_tok: ["Returns","the","log","pdf","at","x"]
code: def logp(self, x):
      """Returns the log pdf at x"""
      value = np.dot(
          np.transpose(x - self.mean), np.dot(self.pre, x - self.mean)
      )
      return -0.5 * (value + np.log(2 * np.pi) + np.log(self.det))
  
imports: from __future__ import absolute_import
  from __future__ import division
  import numpy
  from .distribution import Continuous
  from ..exd import domains
label_desc: Use image node_id 4 for calling the MultivariateGaussian obj's underlying member method code with example usage: obj.logp(x) and returns: unknown