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ForeTiS

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0.0.2 ForeTiS-0.0.2-py3-none-any.whl

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Project: ForeTiS
Version: 0.0.2
Filename: ForeTiS-0.0.2-py3-none-any.whl
Download: [link]
Size: 91942
MD5: 332aacf81ec8dc9a08d5147ceb467654
SHA256: 24da2abcaf50202a1d8082e1264ca79a5eadd53832a83d3bc71b19f0719530e4
Uploaded: 2023-10-18 12:15:43 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: ForeTiS
Version: 0.0.2
Summary: state-of-the-art and easy-to-use time series forecasting
Author: Josef Eiglsperger, Florian Haselbeck; Dominik G. Grimm
Author-Email: josef.eiglsperger[at]tum.de
Home-Page: https://github.com/grimmlab/ForeTiS
Project-Url: Documentation, https://ForeTiS.readthedocs.io/
Project-Url: Source, https://github.com/grimmlab/ForeTiS
License: MIT
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.8
Requires-Dist: torch (>=1.11.0)
Requires-Dist: xgboost (>=1.5.2)
Requires-Dist: optuna (>=2.10.0)
Requires-Dist: sqlalchemy (==1.4.46)
Requires-Dist: joblib (>=1.1.0)
Requires-Dist: numpy (>=1.22.2)
Requires-Dist: pandas (>=1.4.1)
Requires-Dist: scikit-learn (>=1.0.2)
Requires-Dist: tensorflow (>=2.8.0)
Requires-Dist: tensorflow-probability (>=0.18)
Requires-Dist: statsmodels (>=0.13.2)
Requires-Dist: scipy (>=1.8.1)
Requires-Dist: pmdarima (>=2.0.1)
Requires-Dist: gpflow (>=2.5.2)
Requires-Dist: matplotlib (>=3.3.0)
Requires-Dist: changefinder (>=0.3)
Requires-Dist: bayesian-torch
Requires-Dist: blitz-bayesian-pytorch
Requires-Dist: tables (>=3.7.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1938 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.41.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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ForeTiS-0.0.2.dist-info/RECORD — —

top_level.txt

ForeTiS