Factual package intelligence from PyPI

closed-loop-default-detection 0.2.0 package intelligence

Closed loop that measures selective-labels default detection on synthetic SMB lending cohorts and finds the PD model's operating frontier.

pip install closed-loop-default-detection

Current version
0.2.0
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
176.2 KiB
Release history
2 releases with files
Median release cadence
11 days

closed-loop-default-detection dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=2.0
  2. pandas >=2.2
  3. scikit-learn >=1.6
  4. scipy >=1.11
  5. matplotlib >=3.8

Compatibility and release files

closed-loop-default-detection publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for closed-loop-default-detection 0.2.0

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 2 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 .