def predict_percentile(self, X, p=0.5):
        """
        Returns the median lifetimes for the individuals, by default. If the survival curve of an
        individual does not cross 0.5, then the result is infinity.
        http://stats.stackexchange.com/questions/102986/percentile-loss-functions

        Parameters
        ----------
        X:  numpy array or DataFrame
            a (n,d) covariate numpy array or DataFrame. If a DataFrame, columns
            can be in any order. If a numpy array, columns must be in the
            same order as the training data.
        p: float, optional (default=0.5)
            the percentile, must be between 0 and 1.

        Returns
        -------
        percentiles: DataFrame

        See Also
        --------
        predict_median

        """
        subjects = _get_index(X)
        return qth_survival_times(p, self.predict_survival_function(X)[subjects]).T
Returns the median lifetimes for the individuals, by default. If the survival curve of an
        individual does not cross 0.5, then the result is infinity.
        http://stats.stackexchange.com/questions/102986/percentile-loss-functions

        Parameters
        ----------
        X:  numpy array or DataFrame
            a (n,d) covariate numpy array or DataFrame. If a DataFrame, columns
            can be in any order. If a numpy array, columns must be in the
            same order as the training data.
        p: float, optional (default=0.5)
            the percentile, must be between 0 and 1.

        Returns
        -------
        percentiles: DataFrame

        See Also
        --------
        predict_median