poc.py
def a_LCB(gp_model, x_obs, y_obs, kappa=1.0):
    """
    kappa could partially be estimated, see [Srinivas et al., 2010]
    """
    def a_LCB_given(x):
        mu_x, sigma_x = gp_model.predict(x, return_std=True)

        return -(mu_x - kappa * sigma_x)  # FIXME fix this properly, the minus is a "hack" (or show that it's not a hack)

    return a_LCB_given

    kappa could partially be estimated, see [Srinivas et al., 2010]
    
kappa could partially be estimated, see [Srinivas et al., 2010]
kappa could partially be estimated see [ Srinivas et al . 2010 ]
def a_LCB(gp_model, x_obs, y_obs, kappa=1.0):
    def a_LCB_given(x):
        mu_x, sigma_x = gp_model.predict(x, return_std=True)
        return -(mu_x - kappa * sigma_x)  
    return a_LCB_given
def a_LCB ( gp_model , x_obs , y_obs , kappa = 1.0 ) : def a_LCB_given ( x ) : mu_x , sigma_x = gp_model . predict ( x , return_std = True ) return - ( mu_x - kappa * sigma_x ) return a_LCB_given
kappa could partially be estimated, see [Srinivas et al., 2010]
kappa could partially be estimated see [ Srinivas et al . 2010 ]
"""
    kappa could partially be estimated, see [Srinivas et al., 2010]
    """ # FIXME fix this properly, the minus is a "hack" (or show that it's not a hack)
gp_model
x_obs
y_obs
kappa