class_docstr: Base class for ``ModelFrame`` and ``ModelFrameGroupBy``
class_docstr_tok: ["Base","class","for","``","ModelFrame","``","and","``","ModelFrameGroupBy","``"]
docstr: Return current estimator's predicted results
  
  Returns
  -------
  predicted : ``ModelSeries``
docstr_tok: ["Return","current","estimator","'s","predicted","results","Returns","--","--","--","-","predicted",":","``","ModelSeries","``"]
code: def predicted(self):
      """
      Return current estimator's predicted results
  
      Returns
      -------
      predicted : ``ModelSeries``
      """
      if not hasattr(self, "_predicted") or self._predicted is None:
          self._predicted = self.predict(self.estimator)
          msg = "Automatically call '{0}.predict()'' to get predicted results"
          warnings.warn(msg.format(self.estimator.__class__.__name__))
      return self._predicted
  
imports: import warnings
  import pandas.compat
  import pandas_ml.misc
  from pandas_ml.compat import Appender
label_desc: Use image node_id 3 for calling the ModelPredictor obj's underlying member method code with example usage: obj.predicted() and returns: self