burn_in#

jeanspy.sampler.Sampler.burn_in

Class and construction: Sampler.

Sampler.burn_in(nsteps, p0_generator, **kwargs)[source]#

Advance warmup and continue from its final ensemble.

Warmup draws remain in the backend. Exclude them explicitly with get_chain(discard=…) when analyzing production draws. The chain already samples the posterior and must not be weighted by the posterior density a second time.