pymc.backends.NDArray

class pymc.backends.NDArray(name=None, model=None, vars=None, test_point=None)

NDArray trace object

Parameters:

name: str

Name of backend. This has no meaning for the NDArray backend.

model: Model

If None, the model is taken from the with context.

vars: list of variables

Sampling values will be stored for these variables. If None, model.unobserved_RVs is used.

Methods

NDArray.__init__([name, model, vars, test_point])
NDArray.close()	Close the backend.
NDArray.get_sampler_stats(stat_name[, ...])	Get sampler statistics from the trace.
NDArray.get_values(varname[, burn, thin])	Get values from trace.
NDArray.point(idx)	Return dictionary of point values at idx for current chain with variable names as keys.
NDArray.record(point[, sampler_stats])	Record results of a sampling iteration.
NDArray.setup(draws, chain[, sampler_vars])	Perform chain-specific setup.

Attributes

stat_names
chain	Chain number.
varnames	Names of tracked variables.
sampler_vars	Sampler stats for each sampler.