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0.1.1 MDA_learn-0.1.1-py3-none-any.whl

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Project: MDA-learn
Version: 0.1.1
Filename: MDA_learn-0.1.1-py3-none-any.whl
Download: [link]
Size: 17312
MD5: 217420429879393a9950b7642e7b9532
SHA256: 7b99bca4386c3af58f27217993d59a02120898232559e26e8a3bde6f084928db
Uploaded: 2023-11-29 01:52:12 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: MDA-learn
Version: 0.1.1
Summary: Manifold Discovery and Analysis (MDA) algorithm for deep learning feature space analysis.
Author: Md Tauhidul Islam and Zixia Zhou et al.
Author-Email: lei[at]stanford.edu
Home-Page: https://github.com/your_github_repo
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: pandas
Requires-Dist: umap-learn
Description-Content-Type: text/markdown
License-File: LICENSE.txt
[Description omitted; length: 20480 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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mda/mda.py sha256=Q13gH1dOW5NAQHTAJkrYOD1qduRQ7vH4X0vDZnrFW0Q 18863
tests/__init__.py sha256=1ooH8At5tk3pvz8dYaKcug2Iu14RIpilNoCYEFcZBYA 26
tests/test_mda.py sha256=9iGrmPFuZ51jhjNeXvsY2v6cqffnxvokge1aFIQpRso 1242
MDA_learn-0.1.1.dist-info/LICENSE.txt sha256=ovF9wf9WhwMWEFRTVXXE7oE-YRL0cGlY79RGUlwAcZc 12711
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MDA_learn-0.1.1.dist-info/RECORD — —

top_level.txt

mda
tests