(self)
return inc, inc_value
Returns the best observed point and its function value

        Returns
        ----------
        incumbent: ndarray (D,)
            current incumbent
        incumbent_value: ndarray (N,)
            the observed value of the incumbent
Returns the best observed point and its function value
Returns the best observed point and its function value
def get_incumbent(self):
        """
        Returns the best observed point and its function value

        Returns
        ----------
        incumbent: ndarray (D,)
            current incumbent
        incumbent_value: ndarray (N,)
            the observed value of the incumbent
        """
        inc, inc_value = super(GaussianProcess, self).get_incumbent()
        if self.normalize_input:
            inc = normalization.zero_one_unnormalization(inc, self.lower, self.upper)

        if self.normalize_output:
            inc_value = normalization.zero_mean_unit_var_unnormalization(inc_value, self.y_mean, self.y_std)

        return inc, inc_value
def get_incumbent ( self ) : inc , inc_value = super ( GaussianProcess , self ) . get_incumbent ( ) if self . normalize_input : inc = normalization . zero_one_unnormalization ( inc , self . lower , self . upper ) if self . normalize_output : inc_value = normalization . zero_mean_unit_var_unnormalization ( inc_value , self . y_mean , self . y_std ) return inc , inc_value