bellini.distributions.Distribution

class bellini.distributions.Distribution(observed=False, name=None, **parameters)

Bases: abc.ABC

Base class for distributions.

__init__(observed=False, name=None, **parameters)

Parameters

• observed (bool, default=False) – If the current node is observable (should only be True on `SimpleDistribution`s)

• name (str) – Name of the node, used as a label when samples are drawn

• **parameters – Any associated parameters in the Distribution

Methods

__init__([observed, name])	Parameters observed (bool, default=False) -- If the current node is observable (should only be True on
to_units(new_units[, force])	Return self converted to units new_units
unitless()	Return a unitless version of self

Attributes

dimensionality	The Distribution's dimensionality (e.g.
g	A networkx graph describing the computation graph used to create this Distribution
internal_units	The units associated with internal computations in Bellini for this Distribution
magnitude	A quantity (array-like or scalar) with the same shape as expected samples from this Distribution
name	A string representing the name of self
shape	The shape of samples from this Distribution
units	The units of this Distribution (e.g.

abstract property dimensionality

The Distribution’s dimensionality (e.g. ‘length’ for meter)

property g

A networkx graph describing the computation graph used to create this Distribution

abstract property internal_units

The units associated with internal computations in Bellini for this Distribution

abstract property magnitude

A quantity (array-like or scalar) with the same shape as expected samples from this Distribution

property name

A string representing the name of self

property shape

The shape of samples from this Distribution

abstract to_units(new_units, force=False)

Return self converted to units new_units

abstract unitless()

Return a unitless version of self

abstract property units

The units of this Distribution (e.g. molar)