WeightedSumFitter.initial_point

WeightedSumFitter.initial_point(random_seed=None)

Computes the initial point of the model.

Parameters:

random_seed (SeedSequenceSeed, default None) – Seed(s) for generating initial point from the model. Passed into pymc.pytensorf.reseed_rngs()

Returns:

ip – Maps names of transformed variables to numeric initial values in the transformed space.

Return type:

dict of {str : array_like}