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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.
Package details |
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Author | Alex Boulangé [aut, cre] |
Maintainer | Alex Boulangé <aboul@free.fr> |
License | GNU General Public License |
Version | 1.3.2 |
URL | https://aboulaboul.github.io/automl https://github.com/aboulaboul/automl |
Package repository | View on CRAN |
Installation |
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