poismf

cranv0.4.0-4

Factorization of Sparse Counts Matrices Through Poisson Likelihood. Creates a non-negative low-rank approximate factorization of a sparse counts matrix by maximizing Poisson likelihood with L1/L2 regularization (e.g. for implicit-feedback recommender systems or bag-of-words-based topic modeling) (Cortes, (2018) <arXiv:1811.01908>), which usually leads to very sparse

License BSD_2_clause + file LICENSE0 versions1 maintainers2 deps76 weekly dl
david-cortes/poismf
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Matrixmethods
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First published · 2023-03-26 22:51:22

Last updated · 2023-03-26T20:30:02+00:00