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0.2.5 abimca-0.2.5-py3-none-any.whl

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Project: abimca
Version: 0.2.5
Filename: abimca-0.2.5-py3-none-any.whl
Download: [link]
Size: 16675
MD5: ee1331686788658bf7d89ca89c5d44c0
SHA256: 91c59424dd650e49c09a42a8ca5a579c15b0a8f62f02c12b01e9fe7320ec7a0a
Uploaded: 2022-09-08 12:26:04 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: abimca
Version: 0.2.5
Summary: Autoencoder based iterative modeling and multivariate time-series subsequence clustering algorithm (ABIMCA)
Author: Jonas Köhne
Author-Email: jokohonas[at]gmail.com
Maintainer: Jonas Köhne
Maintainer-Email: jokohonas[at]gmail.com
Home-Page: https://github.com/Jokonu/abimca
Project-Url: Repository, https://github.com/Jokonu/abimca
License: BSD-3-Clause
Keywords: time-series,multivariate,autoencoder,subsequence,identification,clustering,algorithm
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.9,<3.12
Requires-Dist: coloredlogs (<16.0.0,>=15.0.1)
Requires-Dist: matplotlib (<4.0.0,>=3.5.3)
Requires-Dist: numpy (<2.0.0,>=1.23.2)
Requires-Dist: pandas (<2.0.0,>=1.4.3)
Requires-Dist: scikit-learn (<2.0.0,>=1.1.2)
Requires-Dist: scipy (<2.0.0,>=1.9.0)
Requires-Dist: torch (<2.0.0,>=1.12.1)
Requires-Dist: tqdm (<5.0.0,>=4.64.0)
Description-Content-Type: text/markdown
[Description omitted; length: 3049 characters]

WHEEL

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