Welcome to the documentation for aeon#
scikit learn compatible Framework for time series tasks such as forecasting and classification.
Provides a broad library of time series algorithms, including the latest advances.
Efficient implementation of time series algorithms using numba.
Interfaces with other time series packages to provide a single framework for algorithm comparison.
Get started with time series forecasting.
Get started with time series classification.
Get started with time series extrinsic regression.
Get started with time series clustering.
Get started with time series transformations.
Get started with time series distances.
Annotation
Data structures and containers used in aeon
How to benchmark algorithms.
Deep learning networks.
Community Channels#
GitHub: github.com/aeon-toolkit/aeon
Slack: aeon slack
Twitter: twitter/aeon-toolkit
LinkedIn: linkedin/aeon-toolkit