June 4, 2024, 2:47 p.m. | /u/ai-lover

machinelearningnews www.reddit.com

Nixtla unveiled StatsForecast 1.7.5, a significant update bringing new features and enhancements that further solidify its position as a leading tool for univariate time series forecasting. This release introduces the innovative MFLES model and a convenient wrapper for scikit-learn models, allowing users to leverage exogenous features easily.

One of the standout features of this release is the addition of the MFLES (Median Fourier Linear Exponential Smoothing) model, contributed by Tyler Blume. This model stands out for its excellent performance, speed, …

exogenous features forecasting integration learn machinelearningnews new features nixtla release releases scikit scikit-learn series time series time series forecasting tool update wrapper

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