Sets the guesstimated iterations number in the factory. Different
models are used depending on the actual factorization algorithm, the seeding
strategy and the qualityLevel. For the time being a crude linear model
is assumed based on:
the number of columns in A. The number of rows is assumed to be
2.8 bigger than the number of rows (2.8 is pretty much random, the value is taken
from an application to search results clustering). In case matrix has different
proportions, the size will be scaled so that the cardinality of the matrix (total
number of elements) is maintained. The model supports column counts (after scaling)
ranging from 50 to 400.
the number of requested base vectors (read from the factorization factory). The
model supports k = 5 ... 50.
A new maximum number of iterations will be set in the factory only if the
requested parameters fall within the ranges supported by the model. In this case
true will be returned.