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tsproto

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0.2.0 tsproto-0.2.0-py3-none-any.whl

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Project: tsproto
Version: 0.2.0
Filename: tsproto-0.2.0-py3-none-any.whl
Download: [link]
Size: 21790
MD5: 128888535d4872efcbc98cdfe181c498
SHA256: a28c64709b7d64d991690b9c7ef04baac2590c966dd53e7195058186f1a80858
Uploaded: 2024-04-05 16:07:11 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: tsproto
Version: 0.2.0
Summary: Post-host prototype-based explanations with rules for time-series classifiers
Author-Email: Szymon Bobek <szymon.bobek[at]gmail.com>
Project-Url: Homepage, https://github.com/sbobek/tsproto
Project-Url: Documentation, https://tsproto.readthedocs.org
Project-Url: Issues, https://github.com/sbobek/tsproto/issues
License: MIT License Copyright (c) 2024 Szymon Bobek Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Keywords: xai,time-series,explainability,model-agnostic,rule-based
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Requires-Dist: pandas (>=1.4.3)
Requires-Dist: numpy (>=1.22.4)
Requires-Dist: scikit-learn (>=1.1.1)
Requires-Dist: matplotlib (>=3.5.2)
Requires-Dist: matplotlib-inline (>=0.1.3)
Requires-Dist: seaborn (>=0.11.2)
Requires-Dist: graphviz (>=0.20)
Requires-Dist: shap (>=0.41.0)
Requires-Dist: ruptures (>=1.1.8)
Requires-Dist: tslearn (>=0.6.1)
Requires-Dist: kshape (>=1.0.6)
Requires-Dist: torch (>=2.0.1); extra == "gpu"
Provides-Extra: gpu
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3950 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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tsproto/models.py sha256=n9nc87q2iYXo8hWvC1UdaQZ9Mv8s0JfAhgVVHOXDZs0 23466
tsproto/plots.py sha256=yAegGiAM1NhRU-i4y5riDTz76siqakXdaNeWoDRGTxk 25591
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tsproto/windowshap.py sha256=rLPDL_rrlMXt7UEbYaA_dY0KOkH16lXh0Lewhidr7t8 22574
tsproto-0.2.0.dist-info/LICENSE sha256=gZfIb-6rTt3sJfwq84Qz-PiXKvOuTtnuQWyRqT9_yk0 1069
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tsproto-0.2.0.dist-info/top_level.txt sha256=9rwYx60HvDxW6HusAou6sWSmTU2hCdZaIiaodfXkcqo 8
tsproto-0.2.0.dist-info/RECORD — —

top_level.txt

tsproto