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automl  

Deep Learning with Metaheuristic
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("automl", "1.3.2")



Attach the package and use:
library("automl")
Maintained by
Alex Boulangé
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-13
Latest Update: 2020-01-16
Description:
Fits from simple regression to highly customizable deep neural networks either with gradient descent or metaheuristic, using automatic hyper parameters tuning and custom cost function. A mix inspired by the common tricks on Deep Learning and Particle Swarm Optimization.
How to cite:
Alex Boulangé (2018). automl: Deep Learning with Metaheuristic. R package version 1.3.2, https://cran.r-project.org/web/packages/automl. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:19), 1.0.5 (2018-09-13 18:50), 1.0.6 (2018-10-21 12:00), 1.0.8 (2018-11-08 09:50), 1.2.0 (2018-11-23 19:30), 1.2.6 (2018-12-09 00:22), 1.2.7 (2019-01-27 16:50), 1.2.8 (2019-03-16 16:03), 1.3.0 (2019-12-15 21:50), 1.3.1 (2020-01-10 00:10)
Other packages that cited automl R package
View automl citation profile
Other R packages that automl depends, imports, suggests or enhances
Complete documentation for automl
Functions, R codes and Examples using the automl R package
Some associated functions: automl_predict . automl_train . automl_train_manual . autopar . hpar . pso . 
Some associated R codes: automl.R .  Full automl package functions and examples
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