Welcome to sktime#
A unified framework for machine learning with time series.
Mission#
an easy-to-use, easy-to-extend, comprehensive python framework for ML and AI with time series
open source, permissive license, free to use
openly and transparently governed by the user and developer community, with a charitable core
a friendly, responsive, kind and inclusive community, with an active commitment to fairness and equal opportunity
an academically, commercially neutral space, with an ecosystem integration ambition and neutral point of view
an educational platform, providing mentoring and upskilling for all career stages, especially early career
Features#
unified API for ML/AI with time series, for model building, fitting, application, and validation
support for a variety of learning tasks including forecasting, time series classification, regression, clustering.
composite model building, including pipelines with transformations, ensembles, tuning, reduction
interactive user experience with scikit-learn like interface conventions
Technical specification#
In-memory computation of a single machine, no distributed computing
Medium-sized data in pandas and NumPy based containers
Modular, principled and object-oriented API
Using interactive Python interpreter, no command-line interface or graphical user interface
Contents#
Get Started
Get started using sktime
quickly.
Documentation
User documentation.
Installation
Installation Guide.
Estimator Overview
Overview of all estimators in sktime
.
API Reference
Understand sktime’s API.
Get Involved
Find out how you can contribute.
Developers
Information for developers.
About
Learn more about sktime
.