VectorEstimate

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`VectorEstimate`

class VectorEstimate

Native joint Laurent estimate with signed orders and full covariance.

Returned arrays are independent copies. The bridge does not reconstruct uncertainty or combine components, sectors, or orders.

Name	Description
`components`	A real or imag label for each native output entry.
`covariance_of_mean`	Full row-major covariance of the mean, including inter-order and real/imaginary correlations
`mean`
`orders`	Signed epsilon powers, in exactly the native output order.
`production_complete`	Only a complete production allocation can certify an accuracy stop.
`standard_error`

VectorEstimate.components: builtins.list[builtins.str]

A real or imag label for each native output entry.

VectorEstimate.covariance_of_mean: builtins.list[builtins.float]

Full row-major covariance of the mean, including inter-order and real/imaginary correlations. Entry (i, j) is at i * len(orders) + j.

VectorEstimate.mean: builtins.list[builtins.float]

VectorEstimate.orders: builtins.list[builtins.int]

Signed epsilon powers, in exactly the native output order.

VectorEstimate.production_complete: builtins.bool

Only a complete production allocation can certify an accuracy stop.

VectorEstimate.standard_error: builtins.list[builtins.float]

Name	Description
`_repr_html_`
`meets`	Delegate convergence to the native full-production and vector tolerance check.

VectorEstimate._repr_html_(slf: VectorEstimate) -> builtins.str

VectorEstimate.meets(
    *,
    absolute: builtins.float = 0.0,
    relative: builtins.float = 0.001,
) -> builtins.bool

Delegate convergence to the native full-production and vector tolerance check.