pymc.Metropolis#

class pymc.Metropolis(*args, **kwargs)[source]#

Metropolis-Hastings sampling step

Methods

Metropolis.__init__([vars, S, ...])

Create an instance of a Metropolis stepper

Metropolis.astep(q0)

Perform a single sample step in a raveled and concatenated parameter space.

Metropolis.competence(var, has_grad)

Metropolis.reset_tuning()

Resets the tuned sampler parameters to their initial values.

Metropolis.step(point)

Perform a single step of the sampler.

Metropolis.stop_tuning()

Attributes

default_blocked

name

stats_dtypes

vars