pymc.step_methods.Metropolis

class pymc.step_methods.Metropolis(*args, **kwargs)

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()	Reset the tuned sampler parameters to their initial values.
Metropolis.set_rng(rng)
Metropolis.step(point)	Perform a single step of the sampler.
Metropolis.stop_tuning()

Attributes

default_blocked
name
sampling_state
stats_dtypes	A list containing <=1 dictionary that maps stat names to dtypes.
stats_dtypes_shapes	Maps stat names to dtypes and shapes.
vars	Variables that the step method is assigned to.