class_docstr: An abstract class which implements probability distributions 
class_docstr_tok: ["An","abstract","class","which","implements","probability","distributions"]
docstr: Returns the variance of the distribution. 
docstr_tok: ["Returns","the","variance","of","the","distribution","."]
code: def get_variance(self):
      """Returns the variance of the distribution."""
      raise NotImplementedError("Implement in a child class.")
  
imports: from ..sampling.slice import Slice
  from ..sampling.metropolis import Metropolis, BinaryMetropolis
  from ..sampling.nuts import NoUTurnSamplerDA, LeapFrog
label_desc: Use image node_id 5 for calling the Distribution obj's underlying member method code with example usage: obj.get_variance() without return types