User Guide#
Welcome to sktime’s user guide!
The user guide consists of introductory notebooks, ordered by learning task.
For guided tutorials with videos, see our Tutorials page.
To run the user guide notebooks interactively, you can launch them on binder without having to install anything.
We assume basic familiarity with scikit-learn. If you haven’t worked with scikit-learn before, check out their getting-started guide.
The notebook files can be found here.
Introduction to sktime
Forecasting with sktime
Forecasting with sktime - appendix: forecasting, supervised regression, and pitfalls in confusing the two
Probabilistic Forecasting with sktime
Hierarchical, Global, and Panel Forecasting with sktime
Time Series Classification, Regression, Clustering & More
Multi-variate time series classification using a simple CNN
Multi-variate time series classification using a simple CNN
Multi-variate time series classification using InceptionTime
Overview of this notebook
Transformers cheat sheets
4 Forecasting Pipelines, Tuning, and AutoML
Benchmarking with sktime
Benchmarking - comparing estimator performance
In-memory data representations and data loading