class_docstr: DBSCAN clustering model. The DBSCAN model contains the results of DBSCAN
  clustering, which finds clusters by identifying "core points" of high
  probability density and building clusters around them.
  
  This model should not be constructed directly. Instead, use
  :func:`turicreate.clustering.dbscan.create` to create an instance of this
  model.
docstr: Return a string description of the model to the ``print`` method.
  
  Returns
  -------
  out : str
      A description of the DBSCANModel.
docstr_tok: ["Return","a","string","description","of","the","model","to","the","``","print","``","method",".","Returns","--","--","--","-","out",":","str","A","description","of","the","DBSCANModel","."]
code: def __str__(self):
      """
      Return a string description of the model to the ``print`` method.
  
      Returns
      -------
      out : str
          A description of the DBSCANModel.
      """
      return self.__repr__()
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import time
  import logging
  import turicreate
  import turicreate.aggregate
  from turicreate.toolkits._model import CustomModel
  import turicreate.toolkits._internal_utils
  from turicreate.toolkits._internal_utils import _toolkit_repr_print
  from turicreate.toolkits._private_utils import _summarize_accessible_fields
  from turicreate.toolkits._model import PythonProxy
label_desc: Use image node_id 6 for calling the DBSCANModel obj's underlying member method code with example usage: obj.__str__() and returns: self