def predict(self, X):
        """Predict risk score of experiencing an event.

        Higher scores indicate shorter survival (high risk),
        lower scores longer survival (low risk).

        Parameters
        ----------
        X : array-like, shape = (n_samples, n_features)
            The input samples.

        Returns
        -------
        y : ndarray, shape = (n_samples,)
            Predicted risk.
        """
        K = self._get_kernel(X, self.X_fit_)
        pred = -numpy.dot(self.coef_, K.T)
        return pred.ravel()
Predict risk score of experiencing an event.

        Higher scores indicate shorter survival (high risk),
        lower scores longer survival (low risk).

        Parameters
        ----------
        X : array-like, shape = (n_samples, n_features)
            The input samples.

        Returns
        -------
        y : ndarray, shape = (n_samples,)
            Predicted risk.