tensorly.decomposition.CPPower
- class CPPower(rank, n_repeat=10, n_iteration=10, verbose=0)[source]
CP Decomposition via Robust Tensor Power Iteration
- Parameters
- tensortl.tensor
input tensor to decompose
- rankint
rank of the decomposition (number of rank-1 components)
- n_repeatint, default is 10
number of initializations to be tried
- n_iterationint, default is 10
number of power iterations
- verbosebool
level of verbosity
- Returns
- (weights, factors)
- weights1-D tl.tensor of length rank
contains the eigenvalue of each eigenvector
- factorslist of 2-D tl.tensor of shape (size, rank)
Each column of each factor corresponds to one eigenvector
- fit_transform(tensor)[source]
Decompose an input tensor
- Parameters
- tensortensorly tensor
input tensor to decompose
- Returns
- CPTensor
decomposed tensor