#NEWLINE# def __init__( self , model , X_lower , X_upper , method = 'scipy' , with_gradients = False ) : #NEWLINE# #INDENT# "\n        Estimates the incumbent by minimize the current posterior\n        mean + std of the objective function.\n\n        Parameters\n        ----------\n        model : Model object\n            Models the objective function.\n        X_lower : (D) numpy array\n            Specified the lower bound of the input space. Each entry\n            corresponds to one dimension.\n        X_upper : (D) numpy array\n            Specified the upper bound of the input space. Each entry\n            corresponds to one dimension.\n        method : ['scipy', 'cmaes']\n            Specifies which optimization method is used to minimize\n            the posterior mean.\n        with_gradients : bool\n            Specifies if gradient information are used. Only valid\n            if method == 'scipy'.\n        " #NEWLINE# super ( PosteriorMeanAndStdOptimization , self ) . __init__ ( model , X_lower , X_upper , method , with_gradients )