Treffer: Tsururu: A Python-based Time Series Forecasting Strategies Library
Title:
Tsururu: A Python-based Time Series Forecasting Strategies Library
Authors:
Publication Year:
2025
Subject Terms:
Document Type:
Report
Working Paper
Access URL:
Accession Number:
edsarx.2509.15843
Database:
arXiv
Weitere Informationen
While current time series research focuses on developing new models, crucial questions of selecting an optimal approach for training such models are underexplored. Tsururu, a Python library introduced in this paper, bridges SoTA research and industry by enabling flexible combinations of global and multivariate approaches and multi-step-ahead forecasting strategies. It also enables seamless integration with various forecasting models. Available at https://github.com/sb-ai-lab/tsururu .
Accepted at IJCAI'25 Demo Track