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