# cellrank.tl.estimators.CFLARE.compute_eigendecomposition¶

CFLARE.compute_eigendecomposition(k=20, which='LR', alpha=1.0, only_evals=False, ncv=None)

Compute eigendecomposition of transition_matrix.

Uses a sparse implementation, if possible, and only computes the top $$k$$ eigenvectors to speed up the computation. Computes both left and right eigenvectors.

Parameters
Return type

None

Returns

Nothing, just updates the following field: