class_docstr: Base class for ``ModelFrame`` and ``ModelFrameGroupBy``
class_docstr_tok: ["Base","class","for","``","ModelFrame","``","and","``","ModelFrameGroupBy","``"]
docstr: Return current estimator's probabilities
  
  Returns
  -------
  probabilities : ``ModelFrame``
docstr_tok: ["Return","current","estimator","'s","probabilities","Returns","--","--","--","-","probabilities",":","``","ModelFrame","``"]
code: def proba(self):
      """
      Return current estimator's probabilities
  
      Returns
      -------
      probabilities : ``ModelFrame``
      """
      if not hasattr(self, "_proba") or self._proba is None:
          self._proba = self.predict_proba(self.estimator)
          msg = "Automatically call '{0}.predict_proba()' to get probabilities"
          warnings.warn(msg.format(self.estimator.__class__.__name__))
      return self._proba
  
imports: import warnings
  import pandas.compat
  import pandas_ml.misc
  from pandas_ml.compat import Appender
label_desc: Use image node_id 4 for calling the ModelPredictor obj's underlying member method code with example usage: obj.proba() and returns: self