R-crassmat (R/R-crassmat) Updated: 1 year, 3 months ago Add to my watchlist

Conditional Random Sampling Sparse Matrices

Conducts conditional random sampling on observed values in sparse matrices. Useful for training and test set splitting sparse matrices prior to model fitting in cross-validation procedures and estimating the predictive accuracy of data imputation methods, such as matrix factorization or singular value decomposition (SVD).

Version: 0.0.6 License: GPL-3 GitHub
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