AFL.agent.EI_AcquisitionFunction module#

class AFL.agent.EI_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)#

class AFL.agent.EI_AcquisitionFunction.EI(model_type='classifier')#

Bases: Acquisition

This acquisition function works on a single GP model (either classifier or regressor, to be specified in the init)

calculate_metric(GP)#

AFL.agent.EI_AcquisitionFunction.gauss2d(x=0, y=0, cx=0, cy=0, sx=1, sy=1, a=-1)#

class AFL.agent.EI_AcquisitionFunction.pseudoEI(Thompson_sampling=False)#

Bases: Acquisition

This 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)#

AFL.agent.EI_AcquisitionFunction module#

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