aeon
Should be used for time series machine learning tasks including classification
by k-dense-aiFree
Description
aeon is an agent skill for time series machine learning, built around aeon, a scikit-learn compatible Python toolkit. It covers classification, regression, clustering, forecasting, anomaly detection, segmentation, similarity search, distance measures, transformations, benchmarking and visualization, all through a consistent estimator interface. Use it when you are classifying or predicting from time series data, detecting anomalies or change points in temporal sequences, clustering similar patterns, forecasting future values, finding repeated patterns or unusual subsequences, comparing series with specialised distance metrics, or extracting features from temporal data. The skill notes its verification: it was reviewed against aeon 1.6.0 on Python 3.13, with small synthetic checks for most task types. Remote archive and TensorFlow training snippets are illustrative and were not run during that review, and the method catalogues it lists are selections rather than complete lists. The skill points to the 1.6 release notes for changes. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars.…
Highlights
- Classification, regression and clustering for time series
- Forecasting and anomaly detection
- Segmentation, similarity search and distances
- scikit-learn compatible estimator API
- Verified against aeon 1.6.0
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aeon FAQ
What is aeon?
A scikit-learn compatible Python toolkit for time series machine learning.
What tasks does it cover?
Classification, regression, clustering, forecasting, anomaly detection, segmentation, similarity search, distances, transformations, benchmarking and visualization.
When should I use the skill?
When classifying or predicting from time series, detecting anomalies or change points, clustering patterns, forecasting, or finding motifs and discords.
What version was it verified against?
aeon 1.6.0 on Python 3.13, with synthetic checks for most task types.
How do I install it?
Run npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill aeon.
Is it checked for security?
Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk.
What are the best aeon alternatives?
Popular alternatives to aeon include scikit-learn, timesfm-forecasting and pytorch-patterns. See all aeon alternatives