mlrl-seco

A scikit-learn implementation of a Separate-and-Conquer (SeCo) multi-label rule learning algorithm

Installation

In a virtualenv (see these instructions if you need to create one):

pip3 install mlrl-seco

Releases

Version Released Bullseye
Python 3.9
Bookworm
Python 3.11
Files
0.12.1 2025-07-06
0.12.0 2025-06-29
0.11.4 2025-02-27
0.11.3 2025-01-31
0.11.2 2025-01-22
0.11.1 2024-09-24
0.11.0 2024-08-09
0.10.2 2024-08-09
0.10.1 2024-08-01
0.10.0 2024-05-05

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Page last updated 2025-07-06 21:35:49 UTC