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automl
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.automl . https://github.com/aboulaboul/automl/issues . https://aboulaboul.github.io/automl . https://github.com/aboulaboul/automl . automl results . automl.pdf . howto_automl.pdf . automl_1.3.2.tar.gz . automl_1.3.2.zip . automl_1.3.2.zip . automl_1.3.2.zip . automl_1.3.2.tgz . automl_1.3.2.tgz . automl_1.3.2.tgz . automl_1.3.2.tgz . automl archive . https://CRAN.R-project.org/package=automl .
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 May. 2025.
Previous versions and publish date:
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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