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MLRL-Boomer Public
A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules
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Boomer Public archive
A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-label Classification Rules
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Boomer-Doc Public archive
Documentation of the BOOMER machine learning algorithm.
1 UpdatedMar 27, 2024 -
ExampleWiseF1Maximizer Public
A scikit-learn meta-estimator for multi-label classification that aims to maximize the example-wise F1 measure
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Boomer-Datasets Public
Datasets for multi-label classification that are compatible with the BOOMER machine learning algorithm.
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SeCo-MLC Public
Forked from keelm/SeCo-MLCSeparate-and-Conquer Multi-label Rule Learning
Java UpdatedDec 16, 2021 -
SyndromeLearner Public
A rule learning algorithm for the deduction of syndrome definitions from time series data.
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DependenceAwareMLCLoss Public
Forked from KIuML/DependenceAwareMLCLossDependence-Aware Multi-Label Classification Loss
Java UpdatedJul 26, 2021 -
RuleGeneration Public
Allows to generate a large number of (single-label head) rules for multi-label classification
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