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Author:
None
Summary:
Tabular classification benchmarking toolkit for model selection, repeated stratified cross-validation, final model export, and artifact-based inference.
Latest version:
0.2.3
Required dependencies:
joblib
|
matplotlib
|
numpy
|
pandas
|
scikit-learn
|
xgboost
Optional dependencies:
build
|
hatchling
|
mkdocs
|
mkdocs-material
|
mkdocstrings
|
pytest
|
twine
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