class_docstr: An abstract class which implements probability distributions 
class_docstr_tok: ["An","abstract","class","which","implements","probability","distributions"]
docstr: Constructor. 
docstr_tok: ["Constructor","."]
code: def __init__(self):
      """Constructor."""
      self.domain = None
      self.dim = None
      super(Distribution, self).__init__()
  
imports: from ..sampling.slice import Slice
  from ..sampling.metropolis import Metropolis, BinaryMetropolis
  from ..sampling.nuts import NoUTurnSamplerDA, LeapFrog
label_desc: Use image node_id 1 to create a new Distribution object from inherited base classes: object with example: obj = Distribution()