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","."]
docstr: Returns a string description of the model, including (where relevant)
  the schema of the training data, description of the training data,
  training statistics, and model hyperparameters.
  
  Returns
  -------
  out : string
      A description of the model.
docstr_tok: ["Returns","a","string","description","of","the","model",",","including","(","where","relevant",")","the","schema","of","the","training","data",",","description","of","the","training","data",",","training","statistics",",","and","model","hyperparameters",".","Returns","--","--","--","-","out",":","string","A","description","of","the","model","."]
code: def __repr__(self):
      """
      Returns a string description of the model, including (where relevant)
      the schema of the training data, description of the training data,
      training statistics, and model hyperparameters.
  
      Returns
      -------
      out : string
          A description of the model.
      """
      return self.__class__.__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 4 for calling the SupervisedLearningModel obj's underlying member method code with example usage: obj.__repr__() and returns: self