PyPI page
Home page
Author:
Daniel Wlazło
Summary:
Universal post-hoc probability calibration for binary classifiers: methods, metrics, diagnostics, and auditable offsetting — numpy-only.
Latest version:
0.3.0
Required dependencies:
numpy
Optional dependencies:
betacal
|
black
|
ipykernel
|
matplotlib
|
mkdocs-jupyter
|
mkdocs-material
|
mkdocstrings
|
mypy
|
nbmake
|
netcal
|
optbinning
|
pandas
|
pytest
|
ruff
|
scikit-learn
|
scipy
|
statsmodels
|
treecf
Downloads last day:
17
Downloads last week:
141
Downloads last month:
711