hierarchicalforecast

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0.4.1 hierarchicalforecast-0.4.1-py3-none-any.whl

Wheel Details

Project: hierarchicalforecast
Version: 0.4.1
Filename: hierarchicalforecast-0.4.1-py3-none-any.whl
Download: [link]
Size: 45079
MD5: 4f0f32d17bbdee21ccd07ab0b33ac138
SHA256: 0167b80ba2bb5d6313cedd26bfb22a8cc56ee1efab18e32af655c507e80ba12d
Uploaded: 2023-11-21 18:36:13 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: hierarchicalforecast
Version: 0.4.1
Summary: Hierarchical Methods Time series forecasting
Author: Nixtla
Author-Email: business[at]nixtla.io
Home-Page: https://github.com/Nixtla/hierarchicalforecast/
License: Apache Software License 2.0
Keywords: time-series forecasting datasets hierarchical
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
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: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.7
Requires-Dist: numpy (<1.24)
Requires-Dist: numba
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: quadprog
Requires-Dist: matplotlib
Requires-Dist: tqdm
Requires-Dist: datasetsforecast; extra == "dev"
Requires-Dist: nbdev; extra == "dev"
Requires-Dist: statsforecast (>=1.0.0); extra == "dev"
Requires-Dist: requests; extra == "dev"
Requires-Dist: scipy; extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 9194 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.41.3)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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hierarchicalforecast/_modidx.py sha256=a92ywjx-Gb1CZGr0DPmhrjgELSLylVtgbX-O1Ud8s5Y 27911
hierarchicalforecast/_nbdev.py sha256=9dGh32CBu76fHlpfhRXtog9H1uOBAwG93SueLL8mXqI 1118
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hierarchicalforecast/probabilistic_methods.py sha256=FlEGDouzl2gxYB8EjZ15IH3sQMTMTSJDks1yDhZ7Aa0 19758
hierarchicalforecast/utils.py sha256=T5ieDUeN9cUBdDWh5JDdgdFMMWKTBiM30jKYT_aEyDw 21675
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hierarchicalforecast-0.4.1.dist-info/RECORD

top_level.txt

hierarchicalforecast

entry_points.txt

[nbdev]
hierarchicalforecast = hierarchicalforecast._modidx:d