tensorly.decomposition.symmetric_power_iteration

symmetric_power_iteration(tensor, n_repeat=10, n_iteration=10, verbose=False)[source]

A single Robust Symmetric Tensor Power Iteration

Parameters:	tensortl.tensor input tensor to decompose, must be symmetric of shape (size, )*order n_repeatint, default is 10 number of initializations to be tried n_iterationsint, default is 10 number of power iterations verbosebool level of verbosity
Returns:	(eigenval, best_factor, deflated) eigenvalfloat the obtained eigenvalue best_factor: tl.tensor the best estimated eigenvector deflatedtl.tensor of same shape as tensor the deflated tensor (i.e. without the estimated component)