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Author:
License:
MIT License
Summary:
A unified approach to explain the output of any machine learning model.
Latest version:
0.45.0
Required dependencies:
catboost
|
cloudpickle
|
numba
|
numpy
|
packaging
|
pandas
|
scikit-learn
|
scipy
|
slicer
|
tensorflow
|
torch
|
tqdm
Optional dependencies:
datasets
|
gpboost
|
ipython
|
jupyter
|
keras
|
lightgbm
|
lime
|
matplotlib
|
myst-parser
|
nbconvert
|
nbformat
|
nbsphinx
|
ngboost
|
nlp
|
numpydoc
|
opencv-python
|
protobuf
|
pyod
|
pyspark
|
pytest
|
pytest-cov
|
pytest-mpl
|
requests
|
sentencepiece
|
sphinx
|
sphinx-github-changelog
|
sphinx-rtd-theme
|
torchvision
|
transformers
|
xgboost
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