def predict_percentile(self, X, ancillary_X=None, 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.
        ancillary_X: numpy array or DataFrame, optional
            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

        """
        lambda_, rho_ = self._prep_inputs_for_prediction_and_return_scores(X, ancillary_X)

        return pd.DataFrame(lambda_ * np.power(-np.log(p), 1 / rho_), index=_get_index(X))
def predict_percentile ( self , X , ancillary_X = None , p = 0.5 ) : lambda_ , rho_ = self . _prep_inputs_for_prediction_and_return_scores ( X , ancillary_X ) return pd . DataFrame ( lambda_ * np . power ( - np . log ( p ) , 1 / rho_ ) , index = _get_index ( X ) )
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.
        ancillary_X: numpy array or DataFrame, optional
            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