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1.4.1 timeeval_gutenTAG-1.4.1-py3-none-any.whl

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Project: timeeval-gutenTAG
Version: 1.4.1
Filename: timeeval_gutenTAG-1.4.1-py3-none-any.whl
Download: [link]
Size: 63627
MD5: 918a81a5f06da99f2366aae9dbf880b5
SHA256: 2f182a7830cbf0f5b7326d8c624daa8bd49acccfb3fee3c1fcc4134344857e27
Uploaded: 2024-03-06 17:45:00 +0000

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METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: timeeval-gutenTAG
Version: 1.4.1
Summary: A good Timeseries Anomaly Generator.
Author: Phillip Wenig and Sebastian Schmidl
Author-Email: phillip.wenig[at]hpi.de
Home-Page: https://github.com/TimeEval/gutentag
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Typing :: Typed
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Requires-Python: >=3.7
Requires-Dist: numpy (>=1.21.6)
Requires-Dist: pandas (>=1.3.0)
Requires-Dist: scipy (>=1.7.3)
Requires-Dist: scikit-learn (>=1.0.0)
Requires-Dist: matplotlib (>=3.5.0)
Requires-Dist: pyyaml (>=6.0)
Requires-Dist: tqdm (>=4.54.0)
Requires-Dist: joblib (>=1.2.0)
Requires-Dist: gitpython (>=3.1.0)
Requires-Dist: neurokit2 (==0.1.2)
Requires-Dist: jsonschema (>=4.4.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 4281 characters]

WHEEL

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timeeval_gutenTAG-1.4.1.dist-info/RECORD — —

top_level.txt

gutenTAG

entry_points.txt

[console_scripts]
gutenTAG = gutenTAG.__main__:cli