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Project: al360-trustworthyai
Version: 0.0.2
Filename: al360_trustworthyai-0.0.2-py3-none-any.whl
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MD5: a180c2970e0a6eae04e04dab1273bf38
SHA256: 967729b00ffc01a23b7b428e96497de6870bf40199af8fea8ead68bbd0c6197c
Uploaded: 2024-10-21 11:14:19 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: al360-trustworthyai
Version: 0.0.2
Summary: SDK API to explain models, generate counterfactual examples, analyze causal effects and analyze errors in Machine Learning models.
Author: Roman Lutz, Ilya Matiach, Ke Xu
Author-Email: al360_taiwidgets-maintain[at]affectlog.com
Home-Page: https://github.com/affectlog360/affectlog360
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 3 - Alpha
Requires-Python: >=3.7
Requires-Dist: dice-ml (<0.12,>=0.11)
Requires-Dist: econml (>=0.14.1)
Requires-Dist: statsmodels (<0.14.0)
Requires-Dist: jsonschema
Requires-Dist: al360-erroranalysis (>=0.5.4)
Requires-Dist: interpret-community (>=0.31.0)
Requires-Dist: lightgbm (>=2.0.11)
Requires-Dist: numpy (<=1.26.2,>=1.17.2)
Requires-Dist: numba (<=0.58.1)
Requires-Dist: pandas (<2.0.0,>=0.25.1)
Requires-Dist: scikit-learn (!=1.1,<=1.5.1,>=0.22.1)
Requires-Dist: scipy (>=1.4.1)
Requires-Dist: semver (~=2.13.0)
Requires-Dist: ml-wrappers
Requires-Dist: networkx (<=2.5)
Requires-Dist: al360-taiutils (>=0.4.2)
Requires-Dist: ipykernel (<=6.8.0); python_version <= "3.7"
Requires-Dist: ipykernel (>=6.22.0); python_version > "3.7"
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2164 characters]

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top_level.txt

al360_trustworthyai
tests