mlsanityData to 7 Oct 2026

Seglearn: A Python Package for Learning Sequences and Time Series

arXiv 1803.08118 ↗First posted 21 Mar 2018stat.ML cs.LGcited by 5

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Abstract (arXiv)

Seglearn is an open-source python package for machine learning time series or sequences using a sliding window segmentation approach. The implementation provides a flexible pipeline for tackling classification, regression, and forecasting problems with multivariate sequence and contextual data. This package is compatible with scikit-learn and is listed under scikit-learn Related Projects. The package depends on numpy, scipy, and scikit-learn. Seglearn is distributed under the BSD 3-Clause License. Documentation includes a detailed API description, user guide, and examples. Unit tests provide a high degree of code coverage.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Mar 2018.

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Citing papers per year: 2021: 1; 2022: 2; 2023: 2.

5 papers.