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statsforecast

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1.7.4 statsforecast-1.7.4-py3-none-any.whl

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Project: statsforecast
Version: 1.7.4
Filename: statsforecast-1.7.4-py3-none-any.whl
Download: [link]
Size: 121803
MD5: 76009cb6b0b8e23cd1925c53676bee58
SHA256: 0863d371e87fdfaf0e157bfee5d242e9899365a50c558a30331ec0d965c0cc64
Uploaded: 2024-04-08 16:44:34 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: statsforecast
Version: 1.7.4
Summary: Time series forecasting suite using statistical models
Author: Nixtla
Author-Email: business[at]nixtla.io
Home-Page: https://github.com/Nixtla/statsforecast/
License: Apache Software License 2.0
Keywords: time-series forecasting arima ets
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
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: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.8
Requires-Dist: cloudpickle
Requires-Dist: coreforecast (>=0.0.7)
Requires-Dist: numba (>=0.55.0)
Requires-Dist: numpy (>=1.21.6)
Requires-Dist: pandas (>=1.3.5)
Requires-Dist: scipy (>=1.7.3)
Requires-Dist: statsmodels (>=0.13.2)
Requires-Dist: tqdm
Requires-Dist: fugue (>=0.8.1)
Requires-Dist: utilsforecast (>=0.0.24)
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Requires-Dist: datasetsforecast; extra == "dev"
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Requires-Dist: ray (<2.8); extra == "ray"
Requires-Dist: fugue[spark] (>=0.8.1); extra == "spark"
Provides-Extra: dask
Provides-Extra: dev
Provides-Extra: plotly
Provides-Extra: polars
Provides-Extra: ray
Provides-Extra: spark
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 24598 characters]

WHEEL

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

RECORD

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statsforecast-1.7.4.dist-info/RECORD — —

top_level.txt

action_files
statsforecast

entry_points.txt

[nbdev]
statsforecast = statsforecast._modidx:d