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1.3.2 cfl-1.3.2-py3-none-any.whl

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Project: cfl
Version: 1.3.2
Filename: cfl-1.3.2-py3-none-any.whl
Download: [link]
Size: 75097
MD5: ab9de431881d6703798c938e60e51ee0
SHA256: 7f495c46823ce5f6a4fef2e2bf5a73178ad9b3ed38ab0c8cb957a4b8b5397e6a
Uploaded: 2025-04-01 01:48:05 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: cfl
Version: 1.3.2
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 :: 3.7
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,<3.13
Requires-Dist: tqdm
Requires-Dist: matplotlib (>=3.3.4)
Requires-Dist: tensorflow (>=2.4.0)
Requires-Dist: numpy (>=1.19.5)
Requires-Dist: scikit-learn (>=1.0)
Requires-Dist: jupyter
Requires-Dist: ipykernel
Requires-Dist: joblib (>=0.16.0)
License-File: LICENSE.txt
[Description omitted; length: 46 characters]

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cfl-1.3.2.dist-info/RECORD — —

top_level.txt

cfl
visual_bars