15 lines
919 B
Plaintext
15 lines
919 B
Plaintext
Nimfa is a Python scripting library which includes a number of published matrix
|
|
factorization algorithms, initialization methods, quality and performance
|
|
measures and facilitates the combination of these to produce new strategies.
|
|
The library represents a unified and efficient interface to matrix factorization
|
|
algorithms and methods.
|
|
|
|
The nimfa library works with numpy dense matrices and scipy sparse matrices
|
|
(where this is possible to save on space). The library has support for multiple
|
|
runs of the algorithms which can be used for some quality measures. By setting
|
|
runtime specific options tracking the residuals error within one (or more) run
|
|
or tracking fitted factorization model is possible.Extensive documentation with
|
|
working examples which demonstrate real applications, commonly used benchmark
|
|
data and visualization methods are provided to help with the interpretation and
|
|
comprehension of the results.
|