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Author:
Patrick Blättermann, Siegbert Versümer
License:
MIT License Copyright (c) 2023 Fabian Rosenthal, Patrick Blättermann, Siegbert Versümer Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated d...
Summary:
Easy and flexible nested cross validation for tabular data in python.
Latest version:
24.0b0
Required dependencies:
matplotlib
|
neptune
|
neptune-optuna
|
neptune-sklearn
|
neptune-xgboost
|
numpy
|
openpyxl
|
optuna
|
pandas
|
pyyaml
|
scikit-learn
|
scipy
|
seaborn
|
shap
|
statsmodels
|
tqdm
|
xgboost
Optional dependencies:
black
|
bumpver
|
check-manifest
|
isort
|
mkdocs
|
mkdocs-material
|
mkdocstrings
|
mkdocstrings-python
|
mktestdocs
|
pip-tools
|
pytest
|
pytest-cov
|
twine
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