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1122 · Sep 201919922001200920172026
3 results for sktime

New forecasting framework sktime replicates and improves M4 study results.

problem Improving univariate forecasting performance using simple machine learning approaches.
method Designing and implementing a new forecasting API in sktime, using it to replicate and extend M4 study results.
result Simple hybrid and pure approaches can boost statistical model performance and achieve competitive results on hourly data.

We present sktime -- a new scikit-learn compatible Python library with a unified interface for machine learning with time series. Time series data gives rise to various distinct but closely related learning tasks, such as forecasting and time series classification, many of which can be solved by reducing them to relate…

2019-09-17abs ↗pdf ↗