class_docstr: Multivariate Gaussian Distribution 
class_docstr_tok: ["Multivariate","Gaussian","Distribution"]
docstr: Returns gradient of log pdf at x 
docstr_tok: ["Returns","gradient","of","log","pdf","at","x"]
code: def grad_logp(self, x):
      """Returns gradient of log pdf at x"""
      return -np.dot(self.pre, x - self.mean)
  
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 5 for calling the MultivariateGaussian obj's underlying member method code with example usage: obj.grad_logp(x) and returns: unknown