g8a9/l3wrapper: Add parallelization and rule sets modifiers
| Main Authors: | Giuseppe Attanasio, Andrea Cognolato |
|---|---|
| Format: | info software Journal |
| Terbitan: |
, 2020
|
| Online Access: |
https://zenodo.org/record/3935385 |
Daftar Isi:
- This version adds the support to parallelization, e.g. L3Classifier can be used with multiprocessing or as an estimator in scikit-learn's GridSearchCV with (n_jobs=-1). Additionally, there is the first release of rule set modifiers, which enable changing the rule sets after the training step. Currently "level1" is supported, i.e. L3Classifier will keep the level 1 rules only and discard level 2 right after training. Please note that a model instantiated this way and then saved, will have an empty lvl2_rules_ parameter list.