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Tip revision: dafc26a4ce301e9e934e5f3b8e5ac7e70fe971a3 authored by Alex Boulangé on 16 March 2019, 14:03:30 UTC
version 1.2.8
Tip revision: dafc26a
Package: automl
Type: Package
Title: Deep Learning with Metaheuristic
Version: 1.2.8
Authors@R: person("Alex", "Boulangé", role = c("aut", "cre"), email = "")
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.
License: GNU General Public License
Encoding: UTF-8
LazyData: TRUE
Imports: stats, utils, parallel
Suggests: datasets
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-03-14 11:05:38 UTC; aboul
Author: Alex Boulangé [aut, cre]
Maintainer: Alex Boulangé <>
Repository: CRAN
Date/Publication: 2019-03-16 15:03:30 UTC
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