automl
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.2 |
2026-04-09 windows/windows R-4.5 | automl_1.3.2.zip |
412.3 KiB |