(self, model, sigma=2.0)
:param model: GPflow model (single output) representing our belief of the objective 
        :param sigma: See formula, the higher the more exploration
:param model: GPflow model (single output) representing our belief of the objective 
        :param sigma: See formula, the higher the more exploration
: param model : GPflow model ( single output ) representing our belief of the objective : param sigma : See formula the higher the more exploration
def __init__(self, model, sigma=2.0):
        """
        :param model: GPflow model (single output) representing our belief of the objective 
        :param sigma: See formula, the higher the more exploration
        """
        super(LowerConfidenceBound, self).__init__(model)
        self.sigma = DataHolder(np.array(sigma))
def __init__ ( self , model , sigma = 2.0 ) : super ( LowerConfidenceBound , self ) . __init__ ( model ) self . sigma = DataHolder ( np . array ( sigma ) )