tsforecasting

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1.2.92 tsforecasting-1.2.92-py3-none-any.whl

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Project: tsforecasting
Version: 1.2.92
Filename: tsforecasting-1.2.92-py3-none-any.whl
Download: [link]
Size: 24420
MD5: 168c60f47096a212aa1037e0d9566d8e
SHA256: 2921b342ce1c44ba37a0610afb636abc51fca6e6c323ad4c13c6c3c578530107
Uploaded: 2024-05-07 21:28:43 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: tsforecasting
Version: 1.2.92
Summary: TSForecasting is an Automated Time Series Forecasting Framework
Author: Luís Santos
Author-Email: luisf_ssantos[at]hotmail.com
Home-Page: https://github.com/TsLu1s/TSForecasting
License: MIT
Keywords: data science,machine learning,time series forecasting,automated time series,multivariate time series,univariate time series,automated machine learning,automl
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Customer Service
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Telecommunications Industry
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Dist: pandas (>=1.4.4)
Requires-Dist: numpy (>=1.23.5)
Requires-Dist: python-dateutil (>=2.8.2)
Requires-Dist: scikit-learn (>=1.2.2)
Requires-Dist: autogluon (>=1.1.0)
Requires-Dist: lightgbm (>=4.3.0)
Requires-Dist: xgboost (>=1.7.4)
Requires-Dist: catboost (>=1.2.2)
Requires-Dist: tqdm (>=4.65.2)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 8043 characters]

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tsforecasting