MCResult.MCObservableCovariance Class Reference

Collaboration diagram for MCResult.MCObservableCovariance:

Public Member Functions
"MCObservableCovariance"	from_cpp (cls, cpp_obj)
	to_cpp (self)

Static Public Attributes
List	ids = field(default_factory=list)
List	mean = field(default_factory=list)
Matrix	covariance = None
Matrix	covariance_inv = None

Detailed Description

Observable covariance estimated from Monte-Carlo samples.

Attributes:
    ids: Observable ordering used by ``mean``, ``covariance`` and
        ``covariance_inv``.
    mean: Sample mean for each observable in ``ids`` order.
    covariance: Regularized sample covariance matrix.
    covariance_inv: Inverse covariance matrix used by the chi-square backend.

Definition at line 120 of file MCResult.py.

Member Function Documentation

from_cpp()

"MCObservableCovariance" MCResult.MCObservableCovariance.from_cpp	(		cls,
			cpp_obj
	)

Create a Python covariance object from C++ output.

Definition at line 137 of file MCResult.py.

to_cpp()

MCResult.MCObservableCovariance.to_cpp

(

self

)

Convert this covariance wrapper to a bound C++ object.

Definition at line 146 of file MCResult.py.

Member Data Documentation

covariance

Matrix MCResult.MCObservableCovariance.covariance = None

static

Definition at line 133 of file MCResult.py.

covariance_inv

Matrix MCResult.MCObservableCovariance.covariance_inv = None

static

Definition at line 134 of file MCResult.py.

ids

List MCResult.MCObservableCovariance.ids = field(default_factory=list)

static

Definition at line 131 of file MCResult.py.

mean

List MCResult.MCObservableCovariance.mean = field(default_factory=list)

static

Definition at line 132 of file MCResult.py.

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The documentation for this class was generated from the following file:

• /home/runner/work/Hyperiso/Hyperiso/Hyperiso/Hyperiso/pyhyperiso/core/Statistic/MCResult.py