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0.6.1 tsml-0.6.1-py3-none-any.whl

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Project: tsml
Version: 0.6.1
Filename: tsml-0.6.1-py3-none-any.whl
Download: [link]
Size: 305395
MD5: ebc833cb637f51922398f2553972d312
SHA256: e57afc9736f8456d8457a8095b8e99c0607c34602221851c7f1bb447b21e04be
Uploaded: 2025-01-11 21:29:58 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.2
Name: tsml
Version: 0.6.1
Summary: A development sandbox for time series machine learning algorithms.
Author-Email: Matthew Middlehurst <m.b.middlehurst[at]soton.ac.uk>
Maintainer-Email: Matthew Middlehurst <m.b.middlehurst[at]soton.ac.uk>
Project-Url: homepage, https://www.timeseriesclassification.com/
Project-Url: repository, https://github.com/time-series-machine-learning/tsml-py/
License: BSD 3-Clause License Copyright (c) The Time Series Machine Learning (tsml) 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: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. 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. 3. 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: data-science,machine-learning,scikit-learn,time-series,time-series-classification,time-series-regression,time-series-clustering
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
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
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: <3.13,>=3.9
Requires-Dist: numba (>=0.55.0)
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Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-randomly; extra == "dev"
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Requires-Dist: pytest-xdist[psutil]; extra == "dev"
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Requires-Dist: pytest-rerunfailures; extra == "dev"
Provides-Extra: all-extras
Provides-Extra: unstable-extras
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1880 characters]

WHEEL

Wheel-Version: 1.0
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RECORD

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tsml-0.6.1.dist-info/RECORD — —

top_level.txt

tsml