mbi.LinearMeasurement

class mbi.LinearMeasurement(noisy_measurement: ~jax.Array, clique, stddev: float = 1.0, query: ~collections.abc.Callable[[~mbi.factor.Factor], ~jax.Array] = <function Factor.datavector>)[source]

Bases: object

A class for representing a private linear measurement of a marginal.

noisy_measurement

The noisy measurement of the marginal.

Type:: jax.Array

clique

The clique (a tuple of attribute names) defining the marginal.

Type:: tuple[str, …]

stddev

The standard deviation of the noise added to the measurement.

Type:: float

query

A linear function that, when applied to a Factor, extracts a

Type:: collections.abc.Callable[[mbi.factor.Factor], jax.Array]

a vector with the same shape and interpretation as `noisy_measurement`.

Method generated by attrs for class LinearMeasurement.

Methods

__init__

Method generated by attrs for class LinearMeasurement.

Attributes

`noisy_measurement`
`clique`
`stddev`
`query`

noisy_measurement: Array

clique: tuple[str, ...]

stddev: float

query: Callable[[Factor], Array]