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.
code: def __init__(self, state):
      self.__proxy__ = _PythonProxy(state)
  
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 1 to create a new DBSCANModel object from inherited base classes: _CustomModel with example: obj = DBSCANModel(state)