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giotto-learn-nightly

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Wheel Details

Project: giotto-learn-nightly
Version: 20191220.25
Filename: giotto_learn_nightly-20191220.25-cp35-cp35m-macosx_10_13_x86_64.whl
Download: [link]
Size: 628689
MD5: 12b853c43834f70ac898c226c7a8bb46
SHA256: 4a19c12cd2bdab1f7083abe62721b7c9aa859b21c01be2453243f7585c38d869
Uploaded: 2019-12-20 17:34:52 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: giotto-learn-nightly
Version: 20191220.25
Summary: Toolbox for Machine Learning using Topological Data Analysis.
Maintainer: Guillaume Tauzin
Maintainer-Email: maintainers[at]giotto.ai
Home-Page: https://github.com/giotto-ai/giotto-learn
Download-Url: https://github.com/giotto-ai/giotto-learn/tarball/v0.1.3
License: Apache 2.0
Keywords: machine learning topological data analysis persistent homology,persistence diagrams
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: C
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Dist: numpy (>=1.17.0)
Requires-Dist: scipy (>=0.17.0)
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Requires-Dist: hypothesis; extra == "tests"
Provides-Extra: doc
Provides-Extra: examples
Provides-Extra: tests
Description-Content-Type: text/x-rst
[Description omitted; length: 3616 characters]

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top_level.txt

giotto