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GitHub / mrapp-ke / MLRL-Boomer
A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-label Classification Rules
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrapp-ke%2FMLRL-Boomer
Stars: 0
Forks: 0
Open Issues: 6
License: mit
Language: C++
Repo Size: 214 MB
Dependencies:
64
Created: over 4 years ago
Updated: 24 days ago
Last pushed: about 2 months ago
Last synced: about 2 months ago
Topics: gradient-boosting, machine-learning, multilabel-classification, rule-learning, scikit-learn
Files
Dependencies
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- actions/cache/restore v4 composite
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- dorny/paths-filter v3 composite
- hendrikmuhs/ccache-action v1 composite
- ssciwr/doxygen-install v1 composite