Metadata-Version: 2.1
Name: TeremokTSLib
Version: 0.0.1
Summary: Easy-to-use box ML solution for forcasting consumption
Home-page: https://teremok.ru/
Author: Alexander Nikitin
Author-email: sniknickitin@yandex.ru
License: MIT
Keywords: forcasting
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
License-File: LICENCE.txt

# What is this Library about?
Easy-to-use (4 lines of code, actually) framework for training powerful predictive models!

# Description
We made a mother-model, which consists of multiple layers of predictive models: ewma is used as trend, Prophet is used for getting seasonality, CatBoost is used for predicting residuals.
Why did we do that? Because we needed a out-of-the-box solution, which could be used by non-ML users. 

# Maintained by
Library is developed and being maintained by Teremok ML team

# Contacts
Our website: https://teremok.ru/
ML team: you can contact us via telegram channel @pivo_txt

Change Log
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0.0.1 (28.07.2024)
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- First release
