# Statistical Learning on Sparse Matrices

## Documentation for package ‘rsparse’ version 0.5.3

- DESCRIPTION file.
- Package NEWS.

## Help Pages

ap_k | Ranking Metrics for Top-K Items
detect_number_omp_threads | Detects number of OpenMP threads in the system
FactorizationMachine | Second order Factorization Machines
FTRL | Logistic regression model with FTRL proximal SGD solver.
GloVe | Global Vectors
LinearFlow | Linear-FLow model for one-class collaborative filtering
metrics | Ranking Metrics for Top-K Items
movielens100k | MovieLens 100K Dataset
ndcg_k | Ranking Metrics for Top-K Items
PureSVD | PureSVD recommender model decompomposition
ScaleNormalize | Re-scales input matrix proportinally to item popularity
soft_impute | SoftImpute/SoftSVD matrix factorization
soft_svd | SoftImpute/SoftSVD matrix factorization
WRMF | Weighted Regularized Matrix Factorization for collaborative filtering