Factual package intelligence from PyPI

mlrl-seco 0.15.4 package intelligence

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

pip install mlrl-seco

Current version
0.15.4
Python requirement
>=3.12
License
MIT
Distribution type
Includes compiled wheel
Release files
30 (30 wheels, 0 source)
Download size
57.4 MiB
Release history
20 releases with files
Median release cadence
27 days

mlrl-seco dependencies

PyPI declares 1 unique dependency rule for this release. Environment markers are shown when supplied by the project.

  1. mlrl-common ==0.15.4

Compatibility and release files

mlrl-seco publishes 30 wheels and 0 source archives for version 0.15.4. Wheel platform tags: macosx_10_13_x86_64, macosx_10_15_x86_64, macosx_11_0_arm64, manylinux_2_27_aarch64.manylinux_2_28_aarch64, manylinux_2_27_x86_64.manylinux_2_28_x86_64, musllinux_1_2_aarch64, musllinux_1_2_x86_64, win_amd64, win_arm64.

No version-specific Python classifiers are declared.

Security snapshot for mlrl-seco 0.15.4

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 20 releases with files. The first dated release is ; 12 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .