Statistical Learning on Sparse Matrices

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Documentation for package ‘rsparse’ version 0.4.0

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%*%-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