pymc.step_methods.Slice

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

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, ...])	Parameters:
Slice.astep(apoint)	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
name
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.