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Author:
Tuama M Hamzah
License:
MIT License
Copyright (c) 2026 Tuama M Hamzah
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated doc...
Summary:
Gradient boosting with Kolmogorov-Arnold Network (KAN) learners -- an interpretable alternative to tree-based boosting (XGBoost/LightGBM/CatBoost).
Latest version:
1.13.0
Required dependencies:
joblib
|
matplotlib
|
numpy
|
pandas
|
pyyaml
|
scikit-learn
|
scipy
|
sympy
|
torch
|
tqdm
Optional dependencies:
fastapi
|
mkdocs-material
|
mlflow
|
numba
|
pybind11
|
pydantic
|
requests
|
streamlit
|
uvicorn
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