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rkaf  

Kolmogorov-Arnold Fourier Networks in R
View on CRAN: Click here


Download and install rkaf package within the R console
Install from CRAN:
install.packages("rkaf")

Install from Github:
library("remotes")
install_github("cran/rkaf")

Install by package version:
library("remotes")
install_version("rkaf", "0.1.0")



Attach the package and use:
library("rkaf")
Maintained by
Guillaume Sidoine
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-28
Latest Update: 2026-04-28
Description:
Provides an R implementation of Kolmogorov-Arnold Fourier Networks using the torch backend. The package supports regression, binary classification, multiclass classification, formula and matrix interfaces, mini-batch training, validation splits, early stopping, standardization, best-model restoration, and KAF-specific diagnostics.
How to cite:
Guillaume Sidoine (2026). rkaf: Kolmogorov-Arnold Fourier Networks in R. R package version 0.1.0, https://cran.r-project.org/web/packages/rkaf. Accessed 05 Jun. 2026.
Previous versions and publish date:
No previous versions
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View rkaf citation profile
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Complete documentation for rkaf
Functions, R codes and Examples using the rkaf R package
Full rkaf package functions and examples
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