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.

Version: 1.0.5
Imports: stats, utils, parallel
Suggests: datasets
Published: 2018-09-13
Author: Alex Boulangé
Maintainer: Alex Boulangé <alex at socialintelligence.fr>
License: GPL-2 | GPL-3 [expanded from: GNU General Public License]
NeedsCompilation: no
CRAN checks: automl results

Downloads:

Reference manual: automl.pdf
Package source: automl_1.0.5.tar.gz
Windows binaries: r-devel: automl_1.0.5.zip, r-release: automl_1.0.5.zip, r-oldrel: automl_1.0.5.zip
OS X binaries: r-release: not available, r-oldrel: automl_1.0.5.tgz

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