A short tutorial for time series classification and explanation with MrSQM

This paper presents MrSQM, a Python tool for the task of time series classification and explanation. Time series classification is a critical problem not only in scientific research but also in many real-life applications. However, state-of-the-art time series classifiers including deep learning and ensemble architectures are often impractical due to their complexity. MrSQM can provide an alternative lightweight solution, just as accurate but faster, and explainable. The tool is written mainly in C++ but wrapped with Cython to provide a more accessible Python interface.