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Easy-to-use, powerful, unified full pipeline automated time series toolkit. Supports forecasting, classification and regression.
HyperTS is a Python package that provides an end-to-end time series (TS) analysis toolkit. It covers complete and flexible AutoML workflows for TS, including data clearning, preprocessing, feature engineering, model selection, hyperparamter optimization, result evaluation, and visualization.
Multi-mode drive, light-heavy combination is the highlighted features of HyperTS. Therefore, statistical models (STATS),deep learning (DL), and neural architecture search (NAS) can be switched arbitrarily to get a powerful TS estimator.
The text was updated successfully, but these errors were encountered:
Hi,
Recommend an automatic time series toolkit HyperTS.
Github: https://github.com/DataCanvasIO/HyperTS
Easy-to-use, powerful, unified full pipeline automated time series toolkit. Supports forecasting, classification and regression.
HyperTS is a Python package that provides an end-to-end time series (TS) analysis toolkit. It covers complete and flexible AutoML workflows for TS, including data clearning, preprocessing, feature engineering, model selection, hyperparamter optimization, result evaluation, and visualization.
Multi-mode drive, light-heavy combination is the highlighted features of HyperTS. Therefore, statistical models (STATS), deep learning (DL), and neural architecture search (NAS) can be switched arbitrarily to get a powerful TS estimator.
The text was updated successfully, but these errors were encountered: