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0.3.7 persim-0.3.7-py3-none-any.whl

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Project: persim
Version: 0.3.7
Filename: persim-0.3.7-py3-none-any.whl
Download: [link]
Size: 48619
MD5: 69e25565364729a43c0ac7209a34cd42
SHA256: 45460a45a3169cd48c0a14be8b01182ddffc64cbbc835c4d40950eb88964580f
Uploaded: 2024-07-19 13:02:57 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: persim
Version: 0.3.7
Summary: Distances and representations of persistence diagrams
Author-Email: Nathaniel Saul <nat[at]riverasaul.com>, Chris Tralie <chris.tralie[at]gmail.com>, Francis Motta <francis.c.motta[at]gmail.com>, Michael Catanzaro <catanzaromj[at]pm.me>, Gabrielle Angeloro <gabrielleangeloro[at]gmail.com>, Calder Sheagren <caldersheagren[at]gmail.com>
Maintainer-Email: Nathaniel Saul <nat[at]riverasaul.com>, Chris Tralie <chris.tralie[at]gmail.com>, Michael Catanzaro <catanzaromj[at]pm.me>, Abraham Smith <abraham.smith[at]geomdata.com>
Project-Url: Homepage, https://persim.scikit-tda.org
Project-Url: Documentation, https://persim.scikit-tda.org
Project-Url: Repository, https://github.com/scikit-tda/persim
Project-Url: Issues, https://github.com/scikit-tda/persim/issues
Project-Url: Changelog, https://github.com/scikit-tda/persim/blob/master/RELEASE.txt
Keywords: persistent homology,persistence images,persistence diagrams,topological data analysis,algebraic topology,unsupervised learning,supervised learning,machine learning,sliced wasserstein distance,bottleneck distance
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Intended Audience :: Healthcare Industry
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Requires-Dist: deprecated
Requires-Dist: hopcroftkarp
Requires-Dist: joblib
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: ripser; extra == "docs"
Requires-Dist: sktda-docs-config; extra == "docs"
Requires-Dist: pytest; extra == "testing"
Requires-Dist: pytest-cov; extra == "testing"
Provides-Extra: docs
Provides-Extra: testing
Description-Content-Type: text/markdown
License-File: LICENSE.txt
[Description omitted; length: 1816 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (71.0.3)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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persim/_version.py sha256=J0I0c7-a50EOnWXMryTu_E6xhXSYFBPjVpeYP_a3vRI 22
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persim/heat.py sha256=Tj09Todb8ZdhydnvXHioFSPhwQuzcJtGgrIFuFibGgY 1596
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persim/images_weights.py sha256=QvmrK9MYDhdANa90T9JcbDD53jjffIal1gd5fPFrHwI 2110
persim/persistent_entropy.py sha256=j5n9ZD9NsXnV-l2u-vRPlX7SCv3JhQ0JmWZ9ctAjjls 2932
persim/sliced_wasserstein.py sha256=riiMIFawOfq-QfSq3e0WqBVjyRK6EoNHpLb6PhioUFE 1717
persim/visuals.py sha256=r7EUfjcPvqzsHC795JJqVaimbkaJ0w0pLlT0I8B2djU 9502
persim/wasserstein.py sha256=5xQDcAGrBRkC_gIQogVezMzikFmJgN0ReVOhQ6LbS9Q 3115
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persim/landscapes/visuals.py sha256=YAb83WUdMEqYvZ_aaNdd30E5rIgBL1KptFLyzqY2gJs 14465
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persim-0.3.7.dist-info/RECORD — —

top_level.txt

persim