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MAKL  

Multiple Approximate Kernel Learning (MAKL)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MAKL", "1.0.1")



Attach the package and use:
library("MAKL")
Maintained by
Ayyüce Begüm Bektaş
[Scholar Profile | Author Map]
First Published: 2022-01-17
Latest Update: 2022-07-06
Description:
R package associated with the Multiple Approximate Kernel Learning (MAKL) algorithm proposed in . The algorithm fits multiple approximate kernel learning (MAKL) models that are fast, scalable and interpretable.
How to cite:
Ayyüce Begüm Bektaş (2022). MAKL: Multiple Approximate Kernel Learning (MAKL). R package version 1.0.1, https://cran.r-project.org/web/packages/MAKL. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.0.0 (2022-01-17 19:42)
Other packages that cited MAKL R package
View MAKL citation profile
Other R packages that MAKL depends, imports, suggests or enhances
Complete documentation for MAKL
Functions, R codes and Examples using the MAKL R package
Some associated functions: makl_test . makl_train . 
Some associated R codes: makl_test.R . makl_train.R .  Full MAKL package functions and examples
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