Skip to content

README.md

Latest commit

 

History

History
14 lines (9 loc) · 587 Bytes

README.md

File metadata and controls

14 lines (9 loc) · 587 Bytes

Time Series Classification Research

Research repository for developing competitive TSC algorithms. Currently exploring combinations of Quant and Hydra algorithms.

Structure

  • quant/, hydra/, aaltd2024/ - Algorithm implementations (submodules)
  • tsckit/ - Python package for unified algorithm/dataset interfaces
  • *.ipynb - Experiment notebooks
  • papers/ - Reference papers

Goal

Build a new time series classification algorithm that competes with state-of-the-art methods. Current focus is on ensemble approaches combining different feature extraction strategies.