9 projects
mlrl-util
Provides common utilities used by the mlrl-* packages.
mlrl-testbed-slurm
Adds support for the Slurm Workload Manager to the package "mlrl-testbed"
mlrl-testbed-sklearn
Adds support for the scikit-learn framework to the package "mlrl-testbed"
mlrl-testbed-arff
Adds support for ARFF files to the package "mlrl-testbed"
mlrl-testbed
Provides utilities for the training and evaluation of machine learning algorithms
mlrl-seco
A scikit-learn implementation of a Separate-and-Conquer (SeCo) multi-label rule learning algorithm
mlrl-common
Provides common modules to be used by different types of multi-label rule learning algorithms
mlrl-boomer
A scikit-learn implementation of BOOMER - an algorithm for learning gradient boosted multi-label output rules
example-wise-f1-maximizer
A scikit-learn meta-estimator for multi-label classification that aims to maximize the example-wise F1 measure
