wildboar

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1.2.0 wildboar-1.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
wildboar-1.2.0-cp39-cp39-win_amd64.whl
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wildboar-1.2.0-cp310-cp310-macosx_11_0_arm64.whl

Wheel Details

Project: wildboar
Version: 1.2.0
Filename: wildboar-1.2.0-cp39-cp39-win_amd64.whl
Download: [link]
Size: 2006981
MD5: ef006623031b13cddf4ad809c7efc165
SHA256: e1be2dc73ab63e016ad58eef74556bdc97666cef34b246af1c491e3fc19a2ec8
Uploaded: 2024-06-24 15:16:47 +0000

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METADATA

Metadata-Version: 2.1
Name: wildboar
Version: 1.2.0
Summary: Time series learning with Python.
Author-Email: Isak Samsten <isak[at]samsten.se>
Project-Url: Homepage, https://wildboar.dev
Project-Url: Documentation, https://wildboar.dev
Project-Url: Repository, https://github.com/wildboar-foundation/wildboar
Project-Url: Bug Tracker, https://github.com/wildboar-foundation/wildboar/issues
License: BSD 3-Clause License Copyright (c) 2018-2022 The wildboar developers. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Keywords: machine learning,time series,counterfactual explanation
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Requires-Python: >=3.9
Requires-Dist: numpy (>=1.19.5)
Requires-Dist: scipy (>=1.6.0)
Requires-Dist: scikit-learn (>=1.3)
Requires-Dist: networkx; extra == "outliers"
Provides-Extra: outliers
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 7519 characters]

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wildboar-1.2.0.dist-info/top_level.txt sha256=ANd_IyQSot3KZegUMYJVpTlxZCZXAGHIX30NVdiEFAQ 9
wildboar-1.2.0.dist-info/RECORD

top_level.txt

wildboar