Factual package intelligence from PyPI

KnockoffOrigins 0.1.4 package intelligence

This repository is dedicated to implementing the methodologies from the 2015 paper "False Discovery Rate via Knockoffs". It provides code for generating knockoff features and applying selection procedures. The aim is to help users understand and apply the knockoff method for feat

pip install knockofforigins

Current version
0.1.4
Python requirement
<4.0,>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
17.9 KiB
Release history
5 releases with files
Median release cadence
0 days

KnockoffOrigins dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. scipy <2.0.0,>=1.13.0
  2. statsmodels <0.15.0,>=0.14.2
  3. pandas <3.0.0,>=2.2.2
  4. matplotlib <4.0.0,>=3.8.4
  5. seaborn <0.14.0,>=0.13.2
  6. scikit-learn <2.0.0,>=1.4.2

Compatibility and release files

KnockoffOrigins publishes 1 wheel and 1 source archive for version 0.1.4. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .