automl

Deep Learning with Metaheuristic

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.

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Description file content

Package
automl
Type
Package
Title
Deep Learning with Metaheuristic
Version
1.2.6
BugReports
https://github.com/aboulaboul/automl/issues
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.
URL
License
GNU General Public License
Encoding
UTF-8
LazyData
TRUE
Imports
stats, utils, parallel
Suggests
datasets
RoxygenNote
6.1.0
NeedsCompilation
no
Packaged
2018-12-08 13:06:37 UTC; aboul
Author
Alex Boulangé [aut, cre]
Maintainer
Alex Boulangé
Repository
CRAN
Date/Publication
2018-12-08 23:22:01 UTC

install.packages('automl')

1.2.6

3 days ago

https://aboulaboul.github.io/automl

Alex Boulangé

GNU General Public License

Imports

stats, utils, parallel

Suggests

datasets

Discussions