class_docstr: Base class for ``ModelFrame`` and ``ModelFrameGroupBy``
class_docstr_tok: ["Base","class","for","``","ModelFrame","``","and","``","ModelFrameGroupBy","``"]
docstr: Return current estimator's decision function
  
  Returns
  -------
  decisions : ``ModelFrame``
docstr_tok: ["Return","current","estimator","'s","decision","function","Returns","--","--","--","-","decisions",":","``","ModelFrame","``"]
code: def decision(self):
      """
      Return current estimator's decision function
  
      Returns
      -------
      decisions : ``ModelFrame``
      """
      if not hasattr(self, "_decision") or self._decision is None:
          self._decision = self.decision_function(self.estimator)
          msg = "Automatically call '{0}.decition_function()' to get decision function"
          warnings.warn(msg.format(self.estimator.__class__.__name__))
      return self._decision
  
imports: import warnings
  import pandas.compat
  import pandas_ml.misc
  from pandas_ml.compat import Appender
label_desc: Use image node_id 6 for calling the ModelPredictor obj's underlying member method code with example usage: obj.decision() and returns: self