pymc.backends.NDArray#

class pymc.backends.NDArray(name=None, model=None, vars=None, test_point=None)[source]#

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 database 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

supports_sampler_stats