Multivariate Normal Distribution

lerax.distribution.MultivariateNormalDiag

Bases: AbstractDistreqxWrapper[Float[Array, ' dims']]

Multivariate Normal distribution with diagonal covariance.

Attributes:

Name	Type	Description
`distribution`	`distributions.MultivariateNormalDiag`	The underlying distreqx MultivariateNormalDiag distribution.

Parameters:

Name	Type	Description	Default
`loc`	`Float[ArrayLike, ' dims'] \| None`	The mean of the distribution.	`None`
`scale_diag`	`Float[ArrayLike, ' dims'] \| None`	The diagonal of the covariance matrix.	`None`

distribution: distributions.MultivariateNormalDiag = (
    distributions.MultivariateNormalDiag(
        loc=loc, scale_diag=scale_diag
    )
)

loc: Float[Array, ' dims']

scale_diag: Float[Array, ' dims']

log_prob(value: SampleType) -> Float[Array, '']

prob(value: SampleType) -> Float[Array, '']

sample(key: Key[Array, '']) -> SampleType

entropy() -> Float[Array, '']

mean() -> SampleType

mode() -> SampleType

sample_and_log_prob(
    key: Key[Array, ""],
) -> tuple[SampleType, Float[Array, ""]]

__init__(
    loc: Float[ArrayLike, " dims"] | None = None,
    scale_diag: Float[ArrayLike, " dims"] | None = None,
)