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pypi.org "multi-label classification" keyword

napkinxc 0.6.2
napkinXC is an extremely simple and fast library for extreme multi-class and multi-label classifi...
9 versions - Latest release: over 1 year ago - 1 dependent repositories - 282 downloads last month - 58 stars on GitHub - 1 maintainer
xcolumns 0.0.2
A small library for Consistent Optimization of Label-wise Utilities in Multi-label clasifficatioN
2 versions - Latest release: about 2 months ago - 38 downloads last month - 0 stars on GitHub - 1 maintainer
mlrl-seco 0.10.0
A scikit-learn implementation of a separate-and-conquer multi-label rule learning algorithm
1 version - Latest release: 18 days ago - 1 dependent package - 0 stars on GitHub - 1 maintainer
mlrl-common 0.10.0
Provides common modules to be used by different types of multi-label rule learning algorithms
7 versions - Latest release: 18 days ago - 3 dependent packages - 1 dependent repositories - 327 downloads last month - 0 stars on GitHub - 1 maintainer
example-wise-f1-maximizer 0.1.5
A scikit-learn meta-estimator for multi-label classification that aims to maximize the example-wi...
6 versions - Latest release: 11 months ago - 35 downloads last month - 1 stars on GitHub - 1 maintainer
mlrl-testbed 0.10.0
Provides utilities for the training and evaluation of multi-label rule learning algorithms
7 versions - Latest release: 19 days ago - 1 dependent repositories - 39 downloads last month - 0 stars on GitHub - 1 maintainer
mlrl-boomer 0.10.0
A scikit-learn implementation of BOOMER - an algorithm for learning gradient boosted multi-label ...
7 versions - Latest release: 18 days ago - 1 dependent package - 1 dependent repositories - 285 downloads last month - 0 stars on GitHub - 1 maintainer