def summary(self):
        """
        Gets summary (e.g. accuracy/precision/recall, objective history, total iterations) of model
        trained on the training set. An exception is thrown if `trainingSummary is None`.
        """
        if self.hasSummary:
            if self.numClasses <= 2:
                return BinaryLogisticRegressionTrainingSummary(super(LogisticRegressionModel,
                                                                     self).summary)
            else:
                return LogisticRegressionTrainingSummary(super(LogisticRegressionModel,
                                                               self).summary)
        else:
            raise RuntimeError("No training summary available for this %s" %
                               self.__class__.__name__)
def summary ( self ) : if self . hasSummary : if self . numClasses <= 2 : return BinaryLogisticRegressionTrainingSummary ( super ( LogisticRegressionModel , self ) . summary ) else : return LogisticRegressionTrainingSummary ( super ( LogisticRegressionModel , self ) . summary ) else : raise RuntimeError ( "No training summary available for this %s" % self . __class__ . __name__ )
Gets summary (e.g. accuracy/precision/recall, objective history, total iterations) of model
        trained on the training set. An exception is thrown if `trainingSummary is None`.