pymc.Slice#

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

Univariate slice sampler step method

Parameters
vars: list

List of value variables for sampler.

w: float

Initial width of slice (Defaults to 1).

tune: bool

Flag for tuning (Defaults to True).

model: PyMC Model

Optional model for sampling step. Defaults to None (taken from context).

Methods

Slice.__init__([vars, w, tune, model, ...])

Slice.astep(q0, logp)

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

Slice.competence(var, has_grad)

Slice.step(point)

Perform a single step of the sampler.

Slice.stop_tuning()

Attributes

default_blocked

generates_stats

name

stats_dtypes

vars