automl v1.0.5


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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.

Functions in automl

Name Description
autopar parameters for automatic hyperparameters optimization
automl_train_manual automl_train_manual
hpar Deep Neural Net parameters and hyperparameters
pso PSO parameters and hyperparameters
automl_predict automl_predict
automl_train automl_train
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Type Package
License GNU General Public License
Encoding UTF-8
LazyData TRUE
RoxygenNote 6.0.1
NeedsCompilation no
Packaged 2018-09-10 12:46:23 UTC; aboul
Repository CRAN
Date/Publication 2018-09-13 16:50:09 UTC

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