rmontanana
released this
2024-03-11 09:56:08 +00:00
| 232 commits to main since this release
Added
- Change ascending hyperparameter to order with these possible values {"asc", "desc", "rand"}, Default is "desc".
- Add the predict_single hyperparameter to control if only the last model created is used to predict in boost training or the whole ensemble (all the models built so far). Default is true.
- sample app to show how to use the library (make sample)
Changed
- Change the library structure adding folders for each group of classes (classifiers, ensembles, etc).
- The significances of the models generated under the feature selection algorithm are now computed after all the models have been generated and an αt value is computed and assigned to each model.
Downloads