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Author:
Carlos Ortiz
License:
Apache-2.0
Summary:
Compile tree-ensemble models into deterministic, auditable, integer-exact decision artifacts — score, calibration, risk bands, and reason codes in one portable JSON, runnable with zero ML dependencies.
Latest version:
0.9.2
Required dependencies:
numpy
|
scikit-learn
Optional dependencies:
black
|
hypothesis
|
lightgbm
|
matplotlib
|
mkdocs-material
|
mkdocstrings
|
mypy
|
pandas
|
pre-commit
|
pytest
|
pytest-cov
|
ruff
|
xgboost
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