SSDL: Sketched Stochastic Dictionary Learning
Toolbox for learning a dictionary from large-scale data collection
using the Sketched Stochastic Dictionary Learning method (see Permiakova O, Burger T.
"Sketched Stochastic Dictionary Learning for large-scale data and application to large-scale
mass spectrometry data", 2021). It includes the routines for the dictionary initialization.
| Version: |
1.1 |
| Depends: |
R (≥ 3.6) |
| Imports: |
Rcpp, bigstatsr (≥ 1.2.3), chickn (≥ 1.2.3), RcppParallel, glmnet, parallel, foreach, doParallel, doRNG, reshape2, stats, utils, pracma, Rdpack |
| LinkingTo: |
Rcpp, RcppArmadillo, RcppParallel, rmio |
| Published: |
2021-03-10 |
| Author: |
Olga Permiakova [aut, cre],
Thomas Burger [aut] |
| Maintainer: |
Olga Permiakova <olga.permiakova at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++11 |
| Materials: |
README |
| CRAN checks: |
SSDL results |
Documentation:
Downloads:
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