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In exchange, it introduces the possibility of passing RandomState or Generator (e.g., created via np.random.default_rng(seed)) to all random sampling functions. This would probably be the easiest way to update the pymc-example notebooks. I think it is already a best practice to create a rng at the beggining no?
The text was updated successfully, but these errors were encountered:
ricardoV94
changed the title
Update pymc-examples away from rng_seeder
Update examples away from rng_seeder
May 23, 2022
pymc-devs/pymc#5787 will remove the
rng_seeder
API.In exchange, it introduces the possibility of passing
RandomState
orGenerator
(e.g., created vianp.random.default_rng(seed)
) to all random sampling functions. This would probably be the easiest way to update the pymc-example notebooks. I think it is already a best practice to create arng
at the beggining no?The text was updated successfully, but these errors were encountered: