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2.0.2 sequentia-2.0.2-py3-none-any.whl

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Project: sequentia
Version: 2.0.2
Filename: sequentia-2.0.2-py3-none-any.whl
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Uploaded: 2024-04-13 17:49:14 +0000

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METADATA

Metadata-Version: 2.1
Name: sequentia
Version: 2.0.2
Summary: Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.
Author: Edwin Onuonga
Author-Email: ed[at]eonu.net
Maintainer: Edwin Onuonga
Maintainer-Email: ed[at]eonu.net
Home-Page: https://github.com/eonu/sequentia
Project-Url: Documentation, https://sequentia.readthedocs.io/en/latest
Project-Url: Repository, https://github.com/eonu/sequentia
License: MIT
Keywords: python,machine-learning,time-series,hmm,hidden-markov-models,dtw,dynamic-time-warping,knn,k-nearest-neighbors,sequence-classification,time-series-classification,multivariate-time-series,variable-length,classification-algorithms
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Framework :: Pydantic :: 2
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Typing :: Typed
Requires-Python: >=3.11,<4.0
Requires-Dist: dtaidistance (<3.0.0,>=2.3.10)
Requires-Dist: hmmlearn (<1,>=0.2.8)
Requires-Dist: joblib (<2.0,>=1.2)
Requires-Dist: numba (<1,>=0.56)
Requires-Dist: numpy (<2.0.0,>=1.19.5)
Requires-Dist: pydantic (<3,>=2)
Requires-Dist: scikit-learn (<2.0,>=1.4)
Requires-Dist: scipy (<2.0,>=1.6)
Description-Content-Type: text/markdown
[Description omitted; length: 12388 characters]

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