User Guide

Welcome to sktime’s user guide!

The purpose of the user guide is to provide a scientific manual for the methods implemented in sktime. The API Reference, by contrast, is meant to provide a technical manual.

Note

The user guide is under development. We have created a basic structure and are looking for contributions to develop the user guide further. For more details, please go to issue #361 on GitHub.

• Introduction
• Overview of Learning Tasks
• Time Series Transformations
• Time Series Classification
• Time Series Regression
• Forecasting
• Clustering
• Annotation
• Performance Metrics
• Extra Resources