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bayesian-cut

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0.1.2b0 bayesian_cut-0.1.2b0-py3-none-any.whl

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Project: bayesian-cut
Version: 0.1.2b0
Filename: bayesian_cut-0.1.2b0-py3-none-any.whl
Download: [link]
Size: 29468
MD5: 604b841094814b4d13151bf0daee829a
SHA256: 5fa5c7616a411bdb89b09ddebdf487c754f96be40a04534b5ab6baf5ddc68379
Uploaded: 2019-03-04 12:12:03 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: bayesian-cut
Version: 0.1.2b0
Summary: An implementation of bayesian cut methods
Author: Laurent Vermue, Maciej Korzepa, Petr Taborsky, Morten Mørup
Author-Email: <lauve[at]dtu.dk>, <mjko[at]dtu.dk>, <ptab[at]dtu.dk>, <mmor[at]dtu.dk>
Home-Page: https://github.com/DTUComputeCognitiveSystems/bayesian_cut
License: new BSD
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
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
Classifier: Development Status :: 4 - Beta
Requires-Python: >=3.5
Requires-Dist: numpy (>=1.13.3)
Requires-Dist: scipy (>=1.0.0)
Requires-Dist: scikit-learn (>=0.20.0)
Requires-Dist: networkx (>=2.0)
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Requires-Dist: plotly; extra == "extras"
Requires-Dist: naturalneighbor; extra == "extras"
Requires-Dist: seaborn; extra == "extras"
Requires-Dist: pytest; extra == "tests"
Provides-Extra: docs
Provides-Extra: extras
Provides-Extra: tests
Description-Content-Type: text/x-rst
[Description omitted; length: 2978 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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bayesian_cut/cuts/object_test.py sha256=zN2kIWNEhbhn9Y4Ps0BljG1kat67HH1jRDidMfEdhug 326
bayesian_cut/cuts/spectral_models.py sha256=0xJwMxNRICwN5aEkQqdl6l9BRthosxZEzepE2flxgGs 8798
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bayesian_cut/tests/load_data.py sha256=0t68KTx56p7AvHJ0EmXaygicTen9Q-IbMO4RJDgiMAM 808
bayesian_cut/tests/test_bayesian_cut.py sha256=bA5Id4KVhSjjmMv5RiSL9-fg9-3LzRz-NSq76t0zBTo 6408
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bayesian_cut-0.1.2b0.dist-info/RECORD — —

top_level.txt

bayesian_cut