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Author:
Qian Capital
Summary:
SnapBoost heterogeneous Newton boosting with decision trees and RFF ridge regressors
Latest version:
1.2.0
Required dependencies:
hnbm
|
numpy
|
scikit-learn
|
tqdm
Optional dependencies:
jupyter
|
lightgbm
|
matplotlib
|
mypy
|
pandas
|
pytest
|
pytest-cov
|
ruff
|
seaborn
|
xgboost
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