  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.
