AFL.agent.UCB_AcquisitionFunction module#
- class AFL.agent.UCB_AcquisitionFunction.Acquisition#
Bases:
object- add_exclusion(points)#
- copy()#
- execute()#
- get_next_sample(nth=0, composition_check=None, sample_randomly=False)#
- plot(masked=False, **kwargs)#
- reset_phasemap(phasemap)#
- AFL.agent.UCB_AcquisitionFunction.gauss2d(x=0, y=0, cx=0, cy=0, sx=1, sy=1, a=-1)#
- AFL.agent.UCB_AcquisitionFunction.get_next_sample_passthrough(self, next_sample, *args, **kwargs)#
- class AFL.agent.UCB_AcquisitionFunction.pseudoUCB(scaling=1.0, Thompson_sampling=False)#
Bases:
AcquisitionThis acquisition function works on two GPs only. One has to be a classifier and the other has to be a regressor This needs to be generalizable and requires some thought…
- calculate_metric(GP, GPR)#