TFB is an open-source machine learning library designed to facilitate the empirical evaluation and comparison of time series forecasting methods. It addresses limitations in existing benchmarks by offering a comprehensive dataset collection, diverse evaluation strategies and metrics, and a flexible and scalable pipeline.
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