rsparse
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dselivanov
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
In version 0.5.0 from CRAN (installed with a modified `Makevars.in` to force OMP linkage), there is a huge slowdown in `WRMF` with implicit feedback compared to earlier versions. For example,...
The docs for `metrics` point to https://en.wikipedia.org/wiki/Information_retrieval#Average_precision , but this wikipedia article no longer has such section. Would be good to give a description right there of what `ap_k` calculates,...
Looks very interesting and not too hard to implement https://arxiv.org/pdf/1802.06398.pdf
Several choices: - [plumber](https://github.com/trestletech/plumber) - [Rserve](https://github.com/s-u/Rserve) - [opencpu](https://www.opencpu.org/) (updated) - ~[jug](http://bart6114.github.io/jug/index.html) (updated)~ - something else?
- [ ] objective - [ ] SVD tricks and [MatrixCSR](https://github.com/dselivanov/MatrixCSR) - [ ] fast grid-search for `lambda` based on cross-validation
- [ ] explain confidence - [ ] solvers - cholesky, conjugate gradient - [ ] checking convergence - [ ] excluding items from prediction
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Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.