DrSasanBarak/metats
MetaTS | Time Series Forecasting using Meta Learning
This project helps data scientists and machine learning engineers streamline time series forecasting. It takes historical time series data and automatically extracts meaningful characteristics to select the best forecasting model, outputting accurate future predictions. Users are typically those who need to forecast many different time series, such as in retail, finance, or operations.
No commits in the last 6 months.
Use this if you need to build a robust system for forecasting a large number of diverse time series datasets.
Not ideal if you only need to forecast a single time series and prefer a highly customized, manual approach.
Stars
42
Forks
4
Language
Python
License
MIT
Category
Last pushed
Sep 21, 2023
Commits (30d)
0
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