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Author:
Mutlu Simsek
Summary:
A self-generalizing gradient boosting machine that doesn't need hyperparameter optimization
Latest version:
2.2.0
Required dependencies:
numpy
|
typing-extensions
Optional dependencies:
maturin
|
mkdocs-autorefs
|
mkdocs-material
|
mkdocstrings
|
nbsphinx
|
onnx
|
onnxmltools
|
onnxruntime
|
pandas
|
polars
|
pyarrow
|
pytest
|
ruff
|
scikit-learn
|
seaborn
|
xgboost
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