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Found 2 papers, 1 papers with code
Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study
In particular, we further investigate the potential of simple off-the-shelf machine learning approaches for univariate forecasting.
A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency
We demonstrate correctness through equivalence of accuracy on a range of standard test problems and compare the build time of the different implementations.
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