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automl (version 1.0.5)

Deep Learning with Metaheuristic

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.

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Version

Install

install.packages('automl')

Monthly Downloads

261

Version

1.0.5

License

GNU General Public License

Maintainer

Alex Boulangc3<a9>

Last Published

September 13th, 2018

Functions in automl (1.0.5)

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