Factual package intelligence from PyPI

LANDMarkClassifier 2.1.2 package intelligence

LANDMark: An ensemble approach to the supervised selection of biomarkers in high-throughput sequencing data

pip install landmarkclassifier

Current version
2.1.2
Python requirement
>=3.11
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
337.2 KiB
Release history
11 releases with files
Median release cadence
3 days

LANDMarkClassifier dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. joblib >=1.4.2
  2. numpy ==2.1.3
  3. pandas >=2.2.3
  4. scikit-learn >=1.6.1
  5. scipy >=1.15.2
  6. torch >=2.6.0

Compatibility and release files

LANDMarkClassifier publishes 1 wheel and 1 source archive for version 2.1.2. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12, 3.13.

Release activity and sources

PyPI lists 11 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .