704b11de102aa54bdaa46ac9a98cac64d37c7d84,GPflow/model.py,GPModel,predict_y,#GPModel#,207

Before Change

                pred_y_mean, pred_y_var = self.likelihood.predict_mean_and_var(pred_f_mean, pred_f_var)
            self._tf_predict_y = lambda Xnew_data, x : self._session.run([pred_y_mean, pred_y_var],
                                        feed_dict={self._free_vars:x, tf_Xnew:Xnew_data })
        return self._tf_predict_y(Xnew, self.get_free_state())

    def predict_density(self, Xnew, Ynew):
        

After Change

        with self.tf_mode():
            pred_f_mean, pred_f_var = self.build_predict(tf_Xnew)
            pred_y_mean, pred_y_var = self.likelihood.predict_mean_and_var(pred_f_mean, pred_f_var)
        return self._session.run([pred_y_mean, pred_y_var],
                                 feed_dict={self._free_vars:self.get_free_state(), tf_Xnew:Xnew })

    def predict_density(self, Xnew, Ynew):
        
        Compute the (log) density of the data Ynew at the points Xnew

Instances