Anis MEZIANI

๐Ÿš€ New Open-Source Package for Time Series Forecasting

byโ€ข

Hi everyone,

Weโ€™ve been working on a new forecasting package that we believe pushes the boundaries of current state-of-the-art tools. After extensive benchmarks, it consistently outperformed many leaders โ€” not just in accuracy (lower MAPE and sMAPE across diverse datasets), but also in training efficiency.

What makes it different?

โšก Scalability: Handles large datasets with ease.

๐ŸŽฏ Accuracy: Outperforms popular baselines on real-world benchmarks.

๐Ÿ› ๏ธ Ease of Use: Simple API designed with practitioners in mind.

๐Ÿ”„ Production-ready: Fast training and inference make it suitable for real-time applications.

Weโ€™re really excited about the results and would love for the community to try it out, share feedback, or challenge it with your own datasets.

๐Ÿ‘‰python package

๐Ÿ‘‰R package

Looking forward to your thoughts and discussions!

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