predict_single #22

Merged
rmontanana merged 11 commits from predict_single into main 2024-03-06 16:16:19 +00:00
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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.
### 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 &alpha;<sub>t</sub> value is computed and assigned to each model.
rmontanana added 11 commits 2024-03-06 16:14:39 +00:00
rmontanana added this to the v1.0.4 milestone 2024-03-06 16:14:45 +00:00
rmontanana added the
💡 enhancement
label 2024-03-06 16:14:55 +00:00
rmontanana merged commit 46e929ff4d into main 2024-03-06 16:16:18 +00:00
rmontanana deleted branch predict_single 2024-03-06 16:17:58 +00:00
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Reference: rmontanana/BayesNet#22
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