Closed ricardoV94 closed 3 months ago
import pymc as pm with pm.Model() as m: x = pm.Normal("x") idata1 = pm.sample(nuts_sampler="pymc") idata2 = pm.sample(nuts_sampler="numpyro") print(idata1.posterior.attrs) # {'created_at': '2024-04-17T08:06:27.074686', # 'arviz_version': '0.17.1', # 'inference_library': 'pymc', # 'inference_library_version': '5.10.4', # 'sampling_time': 1.4884159564971924, # 'tuning_steps': 1000} print(idata2.posterior.attrs) # {'created_at': '2024-04-17T08:06:43.592711', 'arviz_version': '0.17.1'}
Would be nice to save those
I'm working on this.
Description
Would be nice to save those