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datasetsforecast

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1.0.0 datasetsforecast-1.0.0-py3-none-any.whl

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Project: datasetsforecast
Version: 1.0.0
Filename: datasetsforecast-1.0.0-py3-none-any.whl
Download: [link]
Size: 34537
MD5: 32785be0a5e5f3698b7835694d616197
SHA256: 0a958447ceaf94ff5e4aa6318d3a2f277fb6aecdf8724ac021f54bf6a7461a9d
Uploaded: 2024-12-06 00:11:46 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: datasetsforecast
Version: 1.0.0
Summary: Datasets for Time series forecasting
Author: Nixtla
Author-Email: business[at]nixtla.io
Home-Page: https://github.com/Nixtla/datasetsforecast/tree/main/
License: MIT License
Keywords: time-series forecasting datasets
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: Programming Language :: Python :: 3.13
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.9
Requires-Dist: aiohttp
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: pandas
Requires-Dist: requests
Requires-Dist: tqdm
Requires-Dist: utilsforecast (>=0.0.8)
Requires-Dist: xlrd (>=1.0.0)
Requires-Dist: nbdev (==2.3.25); extra == "dev"
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: setuptools; extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1074 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.6.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
datasetsforecast/__init__.py sha256=J-j-u0itpEFT6irdmWmixQqYMadNl1X91TxUmoiLHMI 22
datasetsforecast/_modidx.py sha256=2FWdTWFYPPWG-Rhe1WNmH0QFf09KiJABISfTalrqsM0 22903
datasetsforecast/_nbdev.py sha256=bnEtgGfbPq1bK9GwsBx-nJaWnNkAbkFINLTf9dqhr2w 952
datasetsforecast/favorita.py sha256=q9_3kIs5zAUP4OG4cjlbFilyYesAwAcQ_oDmyVe62YA 41916
datasetsforecast/hierarchical.py sha256=8p0YXF68htEKbuR4jZO1WoFOYhvtFvB7AxAws9kmYxI 6585
datasetsforecast/long_horizon.py sha256=yuWD2oQjbXuWtnEoVaqFmiKccrXgqu_CwakdPKZL7uU 9571
datasetsforecast/long_horizon2.py sha256=Lvd2Kp5Dd1EIlEI9WpY6BJDUQBVpm_ORKAxhjDbg6SQ 8910
datasetsforecast/m3.py sha256=iXaj3nOJl951uiKRqGQ1D2iCPHd0M7C-52fwqcsF92E 3654
datasetsforecast/m4.py sha256=s90Nwb4PR3Fery2uZsIP3CEE36j5B4Ajm-euk8nVki0 10736
datasetsforecast/m5.py sha256=FcUkPmMrOEVMH9Nzj9nM8o49zEeNh0mYmfpITix1Q5g 11819
datasetsforecast/phm2008.py sha256=wBwogkRcxL4_bSVjejztG88kNPdnxVmsUke2oyx-Yyw 6086
datasetsforecast/utils.py sha256=kcilvomdl3tO-9rd5hxucIO5ZPuWgDsQ1aWZqCoc-Jo 4600
datasetsforecast-1.0.0.dist-info/LICENSE sha256=gQY2j5ooBqxtVjRaG-4thmZSAVfv4TgWzXwovI9hxps 1063
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datasetsforecast-1.0.0.dist-info/entry_points.txt sha256=ApNgRK-rNeI7_pvTqVjsrtrp2cKeU52QuKc1bjtLf4E 54
datasetsforecast-1.0.0.dist-info/top_level.txt sha256=9-FuVdwrcjYwXFaGkgY-oZjuTTFJPLD4wCFzLYVSJxo 17
datasetsforecast-1.0.0.dist-info/RECORD — —

top_level.txt

datasetsforecast

entry_points.txt

[nbdev]
datasetsforecast = datasetsforecast._modidx:d