Functions
	subspaceOverlap (A, B, nmodes=0)

	covarianceOverlap (ls, lU, rs, rU, nmodes=0)

Detailed Description

Functions related to subspace calculations...

Function Documentation

◆ covarianceOverlap()

loos.pyloos.subspace.covarianceOverlap	(	ls,
		lU,
		rs,
		rU,
		nmodes = 0 )

Computes the covariance overlap between two subspaces.
Requires two sets of eigenvalues and corresponding
eigenvector matrices (eigenvectors in the columns).

Be sure that the eigenvalues are scaled appropriately
and that any zero modes are removed, such as when comparing
an ENM result with a PCA result.

Leaving nmodes as 0 will use ALL modes in the overlap.

>>> covarianceOverlap(b2ar_s, b2ar_U, rhod_s, rhod_U)

◆ subspaceOverlap()

loos.pyloos.subspace.subspaceOverlap	(	A,
		B,
		nmodes = 0 )

Compute the subspace overlap between two sets of eigenvectors.
If the # of modes is left at 0, then the first 25% of modes are used.
A and B are numpy matrices with the eigenvectors stored in columns.

>>> subspaceOverlap(b2ar_U, rhod_U, 50)