WeightedSumFitter.__init__

WeightedSumFitter.__init__(sample_kwargs=None, priors=None)

Parameters:

• sample_kwargs (dict, optional) – Dictionary of kwargs that get unpacked and passed to the pymc.sample() function. Defaults to an empty dictionary if None.

• priors (dict, optional) – Dictionary of priors for the model. Defaults to None, in which case default priors are used.

Return type:

None