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NEWS.md
In sgdGMF: Estimation of Generalized Matrix Factorization Models via Stochastic Gradient Descent
sgdGMF 1.0.1
sgdgmf.rank : changed default method from "onatski" to "evr" methodeigengap.evr (new function) : implemented the eigenvalue ratio method for rank selectioneigengap.onatski : fixed bug occurring when no optimal rank can be selected- added option
CXXFLAGS = $(CXXFLAGS) -Os to Makevars and Makevars.win files to optimize the memory space usad by compiled C++ files
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sgdGMF documentation built on June 8, 2025, 12:05 p.m.
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sgdGMF 1.0.1
sgdgmf.rank: changed default method from"onatski"to"evr"methodeigengap.evr(new function) : implemented the eigenvalue ratio method for rank selectioneigengap.onatski: fixed bug occurring when no optimal rank can be selected- added option
CXXFLAGS = $(CXXFLAGS) -OstoMakevarsandMakevars.winfiles to optimize the memory space usad by compiled C++ files
Try the sgdGMF package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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