Continuous Acquisition Function

Acquisition function implementation that can be used with scipy.minimize and pyswarms. Since both algorithms search for the minimum the negative acquisition function value is returned.

PyALAF.acfn_continuous.EI_con(x, model, opt, alpha=0.5, max=True)

PyALAF.acfn_continuous.GSx_con(x, x_sample)

PyALAF.acfn_continuous.GSy_con(x, y_sample, model, poly_x=None)

PyALAF.acfn_continuous.IDEAL_con(x, x_samples, model, y_true, lim, alpha=1, poly_x=None, tol=1e-08, plot=False)

PyALAF.acfn_continuous.POI_con(x, model, opt, alpha, max=True)

PyALAF.acfn_continuous.QBC_con(x, models, poly_x=None)

PyALAF.acfn_continuous.QBC_con_old(x, models)

PyALAF.acfn_continuous.SGSx_con(x, x_sample, model, alpha=0.5)

PyALAF.acfn_continuous.UCB_con(x, model, alpha=0.5)

PyALAF.acfn_continuous.UIDAL_con(x, x_samples, model, alpha=1)

PyALAF.acfn_continuous.iGS_con(x, x_sample, y_sample, model, poly_x=None)

PyALAF.acfn_continuous.std_con(x, model)