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Author:
Daniel Kulik
Summary:
A Python toolbox for outlier detection thresholding in machine learning and data science
Latest version:
1.1.1
Required dependencies:
numpy
|
pyod
|
scikit-learn
|
scipy
Optional dependencies:
cython
|
docutils
|
joblib
|
mypy
|
pandas
|
pre-commit
|
pytest
|
pytest-cov
|
ruff
|
ruptures
|
scikit-lego
|
sphinx
|
sphinx-datatables
|
sphinx-rtd-theme
|
sphinxcontrib-bibtex
|
sphinxcontrib-images
|
torch
|
tqdm
|
xgboost
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