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0.0.1 lazyforecast-0.0.1-py3-none-any.whl

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Project: lazyforecast
Version: 0.0.1
Filename: lazyforecast-0.0.1-py3-none-any.whl
Download: [link]
Size: 8727
MD5: 02cea29f50390765333f20ab55dfea67
SHA256: 41cdf026f8e3606402712da9c80a518b2a93e86bd7347d80f5b8e1afee3486e9
Uploaded: 2023-06-27 10:10:25 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: lazyforecast
Version: 0.0.1
Summary: LazyForecast is a Python library for performing univariate time series analysis using a lazy forecasting approach. This approach is designed to provide quick and simple forecasting models without requiring extensive configuration or parameter tuning.
Author: Piyush Singh
Author-Email: piyush.singh.office[at]gmail.com
Home-Page: https://github.com/piyushsinghoffice/LazyForecast.git
License: MIT
Keywords: arima,timeseries,forecasting,pyramid,pmdarima,pyramid-arima,scikit-learn,statsmodels,tensorflow,tensor,machine,learning
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Requires-Dist: ipython
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pmdarima
Requires-Dist: scikit-learn
Requires-Dist: tensorflow
Requires-Dist: tqdm
Requires-Dist: twine (>=4.0.2); extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3180 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.40.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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lazyforecast-0.0.1.dist-info/METADATA sha256=PWaZoRCWz3ehLUccfBoSf7H4IOXDtppL7V4vqCB5utg 4352
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lazyforecast-0.0.1.dist-info/RECORD — —

top_level.txt

LazyForecast