Factual package intelligence from PyPI

oqboost 2.4.0 package intelligence

OQBoost 2.0 — gradient-boosted 2D-oblique decision trees (histogram-binned, C++ backend)

pip install oqboost

Current version
2.4.0
Python requirement
>=3.10
License
MIT
Distribution type
Includes compiled wheel
Release files
13 (12 wheels, 1 source)
Download size
3.7 MiB
Release history
21 releases with files
Median release cadence
0 days

oqboost dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.24
  2. scikit-learn >=1.3
  3. seaborn >=0.13.2

Compatibility and release files

oqboost publishes 12 wheels and 1 source archive for version 2.4.0. Wheel platform tags: macosx_14_0_arm64, manylinux_2_28_x86_64, win_amd64.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for oqboost 2.4.0

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 21 releases with files. The first dated release is ; 21 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .