https://github.com/cran/automl
28 March 2020, 16:12:19 UTC
Revision 4d5fc11e4e2ea148095192026020a83f8f39346c authored by Alex Boulangé on 15 December 2019, 19:50:03 UTC, committed by cran-robot on 15 December 2019, 19:50:03 UTC 
version 1.3.0
1 parent dafc26a
Raw File
Tip revision: 4d5fc11e4e2ea148095192026020a83f8f39346c authored by Alex Boulangé on 15 December 2019, 19:50:03 UTC
version 1.3.0
Tip revision: 4d5fc11
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)
back to top