Software Open Access
Giuseppe Attanasio; Andrea Cognolato
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 (
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.