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Project: tsml-eval
Version: 0.1.1
Filename: tsml_eval-0.1.1-py3-none-any.whl
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Size: 482115
MD5: 5b8cf9970d25814b40d5bacc9d76b9c4
SHA256: 16cf1840b66b4107187a03ae3afc3535f9479eafc72615b9e04d098ac9fb2c26
Uploaded: 2023-10-13 14:19:57 +0000

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METADATA

Metadata-Version: 2.1
Name: tsml-eval
Version: 0.1.1
Summary: A package for benchmarking time series machine learning tools.
Author-Email: Matthew Middlehurst <m.middlehurst[at]uea.ac.uk>, Tony Bagnall <ajb[at]uea.ac.uk>
Project-Url: homepage, https://www.timeseriesclassification.com/
Project-Url: repository, https://github.com/time-series-machine-learning/tsml-eval/
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,time-series,time-series-classification,time-series-regression,time-series-clustering,evaluation,benchmarking
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 :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: <3.12,>=3.8
Requires-Dist: aeon (<0.5.0,>=0.4.0)
Requires-Dist: scikit-learn (<=1.2.2,>=1.0.2)
Requires-Dist: tsml (<0.3.0,>=0.2.0)
Requires-Dist: gpustat
Requires-Dist: psutil
Requires-Dist: aeon[all_extras,dl]; extra == "all_extras"
Requires-Dist: tsml[extras]; extra == "all_extras"
Requires-Dist: xgboost (<=1.7.5); extra == "all_extras"
Requires-Dist: torch (>=1.13.1); extra == "all_extras"
Requires-Dist: notebook; extra == "binder"
Requires-Dist: jupyterlab; extra == "binder"
Requires-Dist: aeon[dl]; extra == "deep_learning"
Requires-Dist: torch (>=1.13.1); extra == "deep_learning"
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-randomly; extra == "dev"
Requires-Dist: pytest-timeout; extra == "dev"
Requires-Dist: pytest-xdist; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: sphinx; extra == "docs"
Requires-Dist: sphinx-design; extra == "docs"
Requires-Dist: nbsphinx; extra == "docs"
Requires-Dist: numpydoc; extra == "docs"
Requires-Dist: jupyter; extra == "docs"
Requires-Dist: furo; extra == "docs"
Requires-Dist: sphinx-issues; extra == "docs"
Requires-Dist: myst-parser; extra == "docs"
Requires-Dist: sphinx-copybutton; extra == "docs"
Requires-Dist: aeon[unstable_extras]; extra == "unstable_extras"
Requires-Dist: tsml[unstable_extras]; extra == "unstable_extras"
Provides-Extra: all_extras
Provides-Extra: binder
Provides-Extra: deep_learning
Provides-Extra: dev
Provides-Extra: docs
Provides-Extra: unstable_extras
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2020 characters]

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