Metadata-Version: |
2.1 |
Name: |
sliceguard |
Version: |
0.0.35 |
Summary: |
A library for detecting critical data slices in structured and unstructured data based on features, metadata and model predictions. |
Author-Email: |
Renumics GmbH <info[at]renumics.com>, Daniel Klitzke <daniel.klitzke[at]renumics.com> |
Project-Url: |
Homepage, https://github.com/Renumics/sliceguard |
Project-Url: |
Bug Tracker, https://github.com/Renumics/sliceguard/issues |
Classifier: |
Programming Language :: Python :: 3 |
Classifier: |
License :: OSI Approved :: MIT License |
Classifier: |
Operating System :: OS Independent |
Requires-Python: |
>=3.7 |
Requires-Dist: |
hnne (>=0.1.10) |
Requires-Dist: |
numpy (>=1.17.2) |
Requires-Dist: |
pandas (>=2.0.0) |
Requires-Dist: |
fairlearn (>=0.8.0) |
Requires-Dist: |
scikit-learn (>=1.3.0) |
Requires-Dist: |
umap-learn (>=0.5.3) |
Requires-Dist: |
tqdm (>=4.65.0) |
Requires-Dist: |
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Requires-Dist: |
datasets (>=2.13.1) |
Requires-Dist: |
puremagic (>=1.15) |
Requires-Dist: |
flaml (>=2.0.0); extra == "all" |
Requires-Dist: |
xgboost (<2.0.0,>=1.7.6); extra == "all" |
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shap (>=0.43.0); extra == "all" |
Requires-Dist: |
transformers[torch] (>=4.30.2); extra == "all" |
Requires-Dist: |
sentence-transformers (>=2.2.1); extra == "all" |
Requires-Dist: |
torchaudio (>=2.0.2); extra == "all" |
Requires-Dist: |
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Requires-Dist: |
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Requires-Dist: |
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Requires-Dist: |
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Requires-Dist: |
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Requires-Dist: |
torchaudio (>=2.0.2); extra == "embedding" |
Requires-Dist: |
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Requires-Dist: |
bing-image-downloader (==1.1.2); extra == "tutorials" |
Provides-Extra: |
all |
Provides-Extra: |
automl |
Provides-Extra: |
docs |
Provides-Extra: |
embedding |
Provides-Extra: |
tutorials |
Description-Content-Type: |
text/markdown |
License-File: |
LICENSE |