Fixed (methods.seeding.fixed
)¶
Fixed factorization. This is the option to completely specify the initial factorization by passing values for matrix factors.
-
class
nimfa.methods.seeding.fixed.
Fixed
¶ Bases:
object
-
initialize
(V, rank, options)¶ Return fixed initialized matrix factors.
Parameters: - V (One of the
scipy.sparse
sparse matrices types ornumpy.matrix
) – Target matrix, the matrix for MF method to estimate. - rank (int) – Factorization rank.
- options (dict) –
Specify the algorithm and model specific options (e.g. initialization of extra matrix factor, seeding parameters).
Option
idx
represents the index of the coefficient matrix. The index is by default 0 and corresponds to a factorization model with one mixture matrix (e.g. standard, nonsmooth model).
- V (One of the
-