class_docstr: Class for abstract distributions 
class_docstr_tok: ["Class","for","abstract","distributions"]
docstr: Returns samples drawn from distribution using Slice sampler
docstr_tok: ["Returns","samples","drawn","from","distribution","using","Slice","sampler"]
code: def draw_samples_slice(self, size, init_sample, *args):
      """Returns samples drawn from distribution using Slice sampler"""
      sampler = Slice(self)
      return sampler.sample(init_sample, size, *args)
  
file_path: dragonfly/dragonfly/distributions/model.py
imports: from __future__ import absolute_import
  import numpy
  from .distribution import Distribution
  from ..sampling.slice import Slice
  from ..sampling.nuts import NoUTurnSamplerDA, LeapFrog
  from ..sampling.metropolis import Metropolis, BinaryMetropolis
label_desc: Use image node_id 6 for calling the Model obj's underlying member method code with example usage: obj.draw_samples_slice(size, init_sample) and returns: sampler