plot_helpers_un.py 文件源码

python
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项目:Bayesian-Optimisation 作者: hyperc54 项目源码 文件源码
def update_interface_1D(ax,ax2,solver,bbox,history):
    x = np.linspace(0, 1, 80)
    z=map(lambda y:bbox.queryAt([y]),x)
    xx=np.atleast_2d(x).T
    z_pred, sigma2_pred = solver.gp.predict(xx, eval_MSE=True)
    ax.clear()
    ax2.clear()
    ax.plot(x,np.array(z))
    ax.scatter(np.array(history)[:,0],np.array(history)[:,1])
    ax2.plot(x,np.array(z_pred))
    ax2.fill_between(x,np.array(z_pred)+np.array(np.sqrt(sigma2_pred)),np.array(z_pred)-np.array(np.sqrt(sigma2_pred)),alpha=0.2)
    ax.set_xlim([0,1])
    ax2.set_xlim([0,1])
    ax2.plot(x)
    target=min(np.array(history)[:,1])
    mean,variance=solver.gp.predict(xx,eval_MSE=True)
    z=(target-mean)/np.sqrt(variance)
    ax2.plot(x,np.sqrt(variance)*(z*norm.cdf(z)+norm.pdf(z)))
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