Quick-start guide

For a list of functions and classes available in tslearn, please have a look at our API Reference.

• Installation
  • Using conda
  • Using PyPI
  • Using latest github-hosted version
  • Other requirements
• Getting started
  • Time series format
  • Importing standard time series datasets
  • Playing with your data
• Methods for variable-length time series
  • Classification
  • Regression
  • Nearest-neighbor search
  • Clustering
  • Barycenter computation
  • Model selection
  • Resampling
• Integration with other Python packages
  • scikit-learn
  • pyts
  • seglearn
  • stumpy
  • sktime
  • pyflux
  • tsfresh
  • cesium
• Contributing
  • More details on Pull requests