Operators

torch_openreml.covariance.Operator(*args, ...)	Abstract base class for composite covariance matrix operators.
torch_openreml.covariance.BlockDiagonal(...)	Block diagonal covariance matrix formed from two or more operands.
torch_openreml.covariance.HadamardProduct(...)	Hadamard (element-wise) product of two covariance matrices.
torch_openreml.covariance.KroneckerProduct(...)	Kronecker product of two covariance matrices.
torch_openreml.covariance.Product(*args, ...)	Matrix product of two covariance matrices.
torch_openreml.covariance.Transpose(*args, ...)	Transpose of a covariance matrix.
torch_openreml.covariance.Inverse(*args, ...)	Inverse of a covariance matrix.
torch_openreml.covariance.CovariancePropagation(...)	Covariance propagation operator.
torch_openreml.covariance.Gram(*args[, ...])	Gram matrix operator: \(\symbf{X}^\top \symbf{X}\) or \(\symbf{X} \symbf{X}^\top\).
torch_openreml.covariance.Sum(*args, **kwargs)	Sum of multiple covariance matrices.
torch_openreml.covariance.Augment(*args, ...)	Column-wise augmentation (horizontal concatenation) of covariance matrices.
torch_openreml.covariance.Stack(*args, **kwargs)	Row-wise stacking (vertical concatenation) of covariance matrices.