PyPI page
Home page
Author:
Reza Yuzron Wardana
License:
MIT License
Copyright (c) 2026 Reza Yuzron Wardana and Hari Purnama
Permission is hereby granted, free of charge, to any person obtaining a copy
of this softw...
Summary:
Calibrated random forest scoring of CVE exploitability against disclosure-time EPSS, with the honest limits of the reference study attached.
Latest version:
0.1.4
Required dependencies:
joblib
|
numpy
|
scikit-learn
Optional dependencies:
build
|
fastapi
|
pydantic
|
pytest
|
pytest-cov
|
twine
|
uvicorn
Downloads last day:
10
Downloads last week:
19
Downloads last month:
579
7-day smoothing