# Statistical Learning on Sparse Matrices

## Documentation for package ‘rsparse’ version 0.4.0

- DESCRIPTION file.

## Help Pages

%*%-method | Multithreaded Sparse-Dense Matrix Multiplication
ap_k | Ranking Metrics for Top-K Items
crossprod-method | Multithreaded Sparse-Dense Matrix Multiplication
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
matmult | Multithreaded Sparse-Dense Matrix Multiplication
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
slice | CSR Matrices Slicing
soft_impute | SoftImpute/SoftSVD matrix factorization
soft_svd | SoftImpute/SoftSVD matrix factorization
tcrossprod-method | Multithreaded Sparse-Dense Matrix Multiplication
WRMF | Weighted Regularized Matrix Facrtorization for collaborative filtering
[-method | CSR Matrices Slicing