pymc.DEMetropolisZMLDA#

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

DEMetropolisZ sampling step tailored for use as base sampler in MLDA

Methods

DEMetropolisZMLDA.__init__(*args, **kwargs)

Initialise DEMetropolisZMLDA, uses parent class __init__ and extra code specific for use within MLDA.

DEMetropolisZMLDA.astep(q0)

DEMetropolisZMLDA.competence(var, has_grad)

DEMetropolisZMLDA.reset_tuning()

Skips resetting of tuned sampler parameters and history to their initial values.

DEMetropolisZMLDA.step(point)

Perform a single step of the sampler.

DEMetropolisZMLDA.stop_tuning()

At the end of the tuning phase, this method removes the first x% of the history so future proposals are not informed by unconverged tuning iterations.

Attributes

default_blocked

generates_stats

name

stats_dtypes

vars