nmfgpu4R: R binding for computing non-negative matrix factorizations...
In nmfgpu4R: Non-Negative Matrix Factorization (NMF) using CUDA
Description
R binding for the libary nmfgpu which can be used to compute Non-negative Matrix Factorizations (NMF) using CUDA hardware
acceleration.
Details
The main function to use is nmf which can be configured using various arguments.
In addition to it a few helper functions are provided, but they aren't necessary for using nmf.
nmfgpu4R documentation built on May 2, 2019, 2:51 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
R binding for the libary nmfgpu which can be used to compute Non-negative Matrix Factorizations (NMF) using CUDA hardware acceleration.
Details
The main function to use is nmf which can be configured using various arguments.
In addition to it a few helper functions are provided, but they aren't necessary for using nmf.
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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