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statsforecast

View on PyPI — Reverse Dependencies (28)

1.7.8 statsforecast-1.7.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
statsforecast-1.7.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
statsforecast-1.7.8-cp39-cp39-win_amd64.whl
statsforecast-1.7.8-cp39-cp39-macosx_10_9_x86_64.whl
statsforecast-1.7.8-cp39-cp39-macosx_11_0_arm64.whl
statsforecast-1.7.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
statsforecast-1.7.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
statsforecast-1.7.8-cp38-cp38-win_amd64.whl
statsforecast-1.7.8-cp38-cp38-macosx_10_9_x86_64.whl
statsforecast-1.7.8-cp38-cp38-macosx_11_0_arm64.whl
statsforecast-1.7.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
statsforecast-1.7.8-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
statsforecast-1.7.8-cp312-cp312-win_amd64.whl
statsforecast-1.7.8-cp312-cp312-macosx_10_13_x86_64.whl
statsforecast-1.7.8-cp312-cp312-macosx_11_0_arm64.whl
statsforecast-1.7.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
statsforecast-1.7.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
statsforecast-1.7.8-cp311-cp311-win_amd64.whl
statsforecast-1.7.8-cp311-cp311-macosx_10_9_x86_64.whl
statsforecast-1.7.8-cp311-cp311-macosx_11_0_arm64.whl
statsforecast-1.7.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
statsforecast-1.7.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
statsforecast-1.7.8-cp310-cp310-win_amd64.whl
statsforecast-1.7.8-cp310-cp310-macosx_10_9_x86_64.whl
statsforecast-1.7.8-cp310-cp310-macosx_11_0_arm64.whl

Wheel Details

Project: statsforecast
Version: 1.7.8
Filename: statsforecast-1.7.8-cp39-cp39-win_amd64.whl
Download: [link]
Size: 251840
MD5: 08aa74d1d1385adfc34c9888392fa3b1
SHA256: 1a4f6364e3542109a46efc4c67f28a2172e0b3805b4001595207a0f8fa08c715
Uploaded: 2024-09-19 21:39:48 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: statsforecast
Version: 1.7.8
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: Programming Language :: Python :: 3.12
Classifier: License :: OSI Approved :: Apache Software License
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Requires-Dist: numba (>=0.55.0)
Requires-Dist: numpy (>=1.21.6)
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Requires-Dist: scipy (>=1.7.3)
Requires-Dist: statsmodels (>=0.13.2)
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Provides-Extra: all
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: setuptools (75.1.0)
Root-Is-Purelib: false
Tag: cp39-cp39-win_amd64

RECORD

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statsforecast/ets.py sha256=Bn-e0U0oe2u0DHvJkyWKKs4lS7LUnUstazfyCNPcsiY 37732
statsforecast/feature_engineering.py sha256=nR1rBn5Njr6ZM5lHQhAKUlQ3i_odpdLXgeEaGQbrEbU 2943
statsforecast/garch.py sha256=-hsdNCAwZPxMPdIiET1zd7QdvJdtiS9rwEDWHlzDiYM 4544
statsforecast/mfles.py sha256=aW55EfY1ORU62DMwh7uYgiv92zA9yD3KoK0Dg-Hpp7o 28855
statsforecast/models.py sha256=UkTuHA6hSvcSYwHR5Toega0yWc8K-n_2jWQf2gT8z9U 246482
statsforecast/mstl.py sha256=px2a1W27s_93RI0LDlWfUPm7MwjgGfrbmAeTTWQTOGI 2612
statsforecast/tbats.py sha256=732KRkW4pii6Ff0_YbO31oY-_xmw2iT6vhAbo19bN4s 30134
statsforecast/theta.py sha256=3uVKklbofPHTeZ-nV1QBTWITcmNLxFnf303plUoXINk 21188
statsforecast/utils.py sha256=7WvRDI10sOHi2OOd6Xx2kL7s2jPao_sp5z6Z1cq_B3Q 10155
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statsforecast/distributed/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
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statsforecast/distributed/multiprocess.py sha256=0d633xa_UydPAxtOgzJ-N0DP8EEo_6nl0JDKXNpmSLA 1733
statsforecast-1.7.8.dist-info/LICENSE sha256=fmKkS9nFkrg9e69gQvSnSPcOAngbtREtSFQzuJhir0o 11537
statsforecast-1.7.8.dist-info/METADATA sha256=wAys-pAJZIiY19Ds_EsjVE2c9Hc9r3tj7lF1FOLt7FY 29290
statsforecast-1.7.8.dist-info/WHEEL sha256=vq7bX_I37ZJK2gZz_HGA8eCPjBDKQSfb_9FNjesTNkk 99
statsforecast-1.7.8.dist-info/entry_points.txt sha256=Yr8W1KFPUXLCdMBDfqbxZowO-Y7mGpeIn5Qd9rwZdgk 48
statsforecast-1.7.8.dist-info/top_level.txt sha256=dmrJvc9xuN3C4vp4TLs_igwvAPxZseWYsKmgvvGJETA 14
statsforecast-1.7.8.dist-info/RECORD — —

top_level.txt

statsforecast

entry_points.txt

[nbdev]
statsforecast = statsforecast._modidx:d