class_docstr: Univariate Normal Distribution 
class_docstr_tok: ["Univariate","Normal","Distribution"]
docstr: Constructor. 
docstr_tok: ["Constructor","."]
code: def __init__(self, mean, var):
      """Constructor."""
      super(Normal, self).__init__()
      self.mean = float(mean)
      self.var = float(var)
      self.dim = 1
      self.domain = domains.EuclideanDomain([[-np.inf, np.inf]])
  
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 1 to create a new Normal object from inherited base classes: Continuous with example: obj = Normal(mean, var)