Package: automl 1.3.2
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.
Authors:
automl_1.3.2.tar.gz
automl_1.3.2.zip(r-4.5)automl_1.3.2.zip(r-4.4)automl_1.3.2.zip(r-4.3)
automl_1.3.2.tgz(r-4.4-any)automl_1.3.2.tgz(r-4.3-any)
automl_1.3.2.tar.gz(r-4.5-noble)automl_1.3.2.tar.gz(r-4.4-noble)
automl_1.3.2.tgz(r-4.4-emscripten)automl_1.3.2.tgz(r-4.3-emscripten)
automl.pdf |automl.html✨
automl/json (API)
NEWS
| # Install 'automl' in R: |
| install.packages('automl', repos = c('https://aboulaboul.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/aboulaboul/automl/issues
Last updated 5 years agofrom:55b1ad7285. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-win | OK | Nov 16 2024 |
| R-4.5-linux | OK | Nov 16 2024 |
| R-4.4-win | OK | Nov 16 2024 |
| R-4.4-mac | OK | Nov 16 2024 |
| R-4.3-win | OK | Nov 16 2024 |
| R-4.3-mac | OK | Nov 16 2024 |
Exports:automl_predictautoml_trainautoml_train_manual
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| automl_predict | automl_predict |
| automl_train | automl_train |
| automl_train_manual | automl_train_manual |
| parameters for automatic hyperparameters optimization | autopar |
| Deep Neural Net parameters and hyperparameters | hpar |
| PSO parameters and hyperparameters | pso |
