automl v1.0.5
0
Monthly downloads
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 | |
| No Results! | ||
Last month downloads
Details
| 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 |
| suggests | datasets |
| imports | parallel , stats , utils |
| Contributors | Alex Boulangc3<a9> |
Include our badge in your README
[](http://www.rdocumentation.org/packages/automl)