1DconstrainedBayesianOptimisation.py 文件源码

def create_interface():
    fig = plt.figure()
    ax = fig.add_subplot(231)#Obj
    ax2 = fig.add_subplot(234)#Acquisition
    axg1 = fig.add_subplot(232)#Constraint1
    axg2 = fig.add_subplot(233)#Constraint2

    ax.set_xlim(BOUND_L,BOUND_U)
    ax2.set_xlim(BOUND_L,BOUND_U)
    axg1.set_xlim(BOUND_L,BOUND_U)
    axg2.set_xlim(BOUND_L,BOUND_U)

    callback = Index()
    axnext = plt.axes([0.81, 0.01, 0.05, 0.05])#ButtonPosition
    bnext = Button(axnext, '+')#Button
    bnext.on_clicked(callback.next)#ButtonCallbackset

    return fig,ax,ax2,axg1,axg2,callback,bnext



#%% Functions definition