class_docstr: Supervised learning module to predict a target variable as a function of
  several feature variables.
class_docstr_tok: ["Supervised","learning","module","to","predict","a","target","variable","as","a","function","of","several","feature","variables","."]
code: def __init__(self, model_proxy=None, name=None):
      self.__proxy__ = model_proxy
      self.__name__ = name
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import turicreate
  from turicreate.toolkits._model import Model
  from turicreate.toolkits._internal_utils import _raise_error_if_not_sframe
  from turicreate.toolkits._internal_utils import _validate_data
  from turicreate.toolkits._main import ToolkitError
  from turicreate._cython.cy_server import QuietProgress
label_desc: Use image node_id 1 to create a new SupervisedLearningModel object from inherited base classes: Model with example: obj = SupervisedLearningModel(model_proxy, name)