hierarchicalforecast

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1.0.1 hierarchicalforecast-1.0.1-py3-none-any.whl

Wheel Details

Project: hierarchicalforecast
Version: 1.0.1
Filename: hierarchicalforecast-1.0.1-py3-none-any.whl
Download: [link]
Size: 53799
MD5: 771ab1d6a9ba09b5a84bf3bb4944dd1c
SHA256: 8ef07a5a0752180ec212a75002c89f9d91215b61fabc0c177ecbd5e42bdb4e38
Uploaded: 2024-12-16 21:57:08 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: hierarchicalforecast
Version: 1.0.1
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 :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.9
Requires-Dist: numpy
Requires-Dist: numba
Requires-Dist: pandas
Requires-Dist: scikit-learn (>=1.2)
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Requires-Dist: matplotlib
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Requires-Dist: intel-cmplr-lib-rt; platform_system != "Darwin" and platform_machine == "x86_64"
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"
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: ruff; extra == "dev"
Requires-Dist: black; extra == "dev"
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-benchmark; extra == "dev"
Requires-Dist: polars[numpy]; extra == "dev"
Requires-Dist: polars[numpy]; extra == "polars"
Provides-Extra: dev
Provides-Extra: polars
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 9086 characters]

WHEEL

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hierarchicalforecast/__init__.py sha256=d4QHYmS_30j0hPN8NmNPnQ_Z0TphDRbu4MtQj9cT9e8 22
hierarchicalforecast/_modidx.py sha256=4jDFY9vqIbIhWqKKxRvfmyFeZvu7_UadYixtTJ_tzAQ 31118
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hierarchicalforecast/core.py sha256=DvZlJlspTqMPQkynMhC8BDqb0rMEWFtvn4bxI-olrXM 23875
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hierarchicalforecast-1.0.1.dist-info/RECORD

top_level.txt

hierarchicalforecast
tests

entry_points.txt

[nbdev]
hierarchicalforecast = hierarchicalforecast._modidx:d