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1.3.1 cfl-1.3.1-py3-none-any.whl

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Project: cfl
Version: 1.3.1
Filename: cfl-1.3.1-py3-none-any.whl
Download: [link]
Size: 74970
MD5: 5929679a53135ffa73b8763c6544f016
SHA256: bef17bd71dfc84a95435fa6967776ac01abe5aa3fb907d308898a3f88141f558
Uploaded: 2023-12-03 23:03:52 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: cfl
Version: 1.3.1
Summary: Causal Feature Learning (CFL) is an unsupervised algorithm designed to construct macro-variables from low-level data, while maintaining the causal relationships between these macro-variables.
Author: Jenna Kahn and Iman Wahle
Author-Email: imanwahle[at]gmail.com
Home-Page: https://github.com/eberharf/cfl
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: Free for non-commercial use
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.7
Requires-Dist: tqdm
Requires-Dist: matplotlib
Requires-Dist: tensorflow (>=2.4.0)
Requires-Dist: numpy (>=1.19.2)
Requires-Dist: scikit-learn (>=0.23)
Requires-Dist: jupyter
Requires-Dist: ipykernel
Requires-Dist: joblib (>=0.16.0)
License-File: LICENSE.txt
[Description omitted; length: 46 characters]

WHEEL

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Tag: py3-none-any

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cfl-1.3.1.dist-info/RECORD — —

top_level.txt

cfl
visual_bars