Comments (6)
opencpu ?
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jug? There is also a node.js based plugin for parallel processing, but I haven't tried it.
Things like request memoization and approximate nearest neighbor search (e.g., Annoy if L2 norms are approximately equal) might also be useful for serving trained models.
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Sadly jug
is orphaned now.
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Is there a plumber
vignette coming for this?
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from rsparse.
Thanks, seems like a great alternative. I'll try and figure out how to user rsparse
with it. Nevertheless, it would be helpful with a vignette for how you could deploy rsparse
as a microservice.
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Related Issues (20)
- item_exclude HOT 2
- devtools::install_github("dselivanov/rsparse") Win7 Will not compile. HOT 15
- Classification Using Factorization Machines HOT 2
- How to use item_exclude HOT 1
- future float R version dependency HOT 2
- Error loading rsparse after install HOT 5
- Embarrassingly Shallow Autoencoders for Sparse Data HOT 1
- EigenRec: Generalizing PureSVD for Effective and Efficient Top-N Recommendations HOT 2
- HybridSVD: When Collaborative Information is Not Enough
- Optimization objective under explicit feedback HOT 7
- Non-negativity constraints HOT 10
- Cholesky solver HOT 8
- Instability in rsparse::WRMF convergence and loss function HOT 2
- Development version failing compilation with devtools::install_github("rexyai/rsparse") HOT 1
- user and item biases in WRMF and explicit feedback HOT 30
- WRMF user and item biases for implicit feedback data HOT 15
- Dead wikipedia link
- Configure script doesn't pick OpenMP
- Huge performance degradataion for WRMF HOT 1
- Q; Python wrappers? HOT 1
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