R: Factorization of Sparse Counts Matrices Through Poisson Likelihood

# Factorization of Sparse Counts Matrices Through Poisson Likelihood

## Documentation for package ‘poismf’ version 0.4.0-4

- DESCRIPTION file

## Help Pages

factors | Determine latent factors for new rows/users
factors.single | Get latent factors for a new user given her item counts
get.factor.matrices | Extract Latent Factor Matrices
get.model.mappings | Extract user/row and item/column mappings from Poisson model.
poismf | Factorization of Sparse Counts Matrices through Poisson Likelihood
poismf_unsafe | Poisson factorization with no input casting
predict.poismf | Predict expected count for new row(user) and column(item) combinations
print.poismf | Get information about poismf object
summary.poismf | Get information about poismf object
topN | Rank top-N highest-predicted items for an existing user
topN.new | Rank top-N highest-predicted items for a new user