5 projects
mlrl-boomer
A scikit-learn implementation of BOOMER - an algorithm for learning gradient boosted multi-label classification rules
mlrl-seco
A scikit-learn implementation of a separate-and-conquer multi-label rule learning algorithm
mlrl-common
Provides common modules to be used by different types of multi-label rule learning algorithms
mlrl-testbed
Provides utilities for the training and evaluation of machine learning algorithms
example-wise-f1-maximizer
A scikit-learn meta-estimator for multi-label classification that aims to maximize the example-wise F1 measure
