https://github.com/cran/automl
Revision ab2d7c8d13ae85f6be55b525f76ffcc2f94052ef authored by Alex Boulangé on 16 January 2020, 10:40:09 UTC, committed by cran-robot on 16 January 2020, 10:40:09 UTC
1 parent 3b21443
Tip revision: ab2d7c8d13ae85f6be55b525f76ffcc2f94052ef authored by Alex Boulangé on 16 January 2020, 10:40:09 UTC
version 1.3.2
version 1.3.2
Tip revision: ab2d7c8
README.md
automl package 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.
(Key words: autoML, Deep Learning, Particle Swarm Optimization, learning rate, minibatch,
batch normalization, lambda, RMSprop, momentum, adam optimization, learning rate decay,
inverted dropout, particles number, kappa, regression, logistic regression)
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