Aeon

Overview

Aeon is a comprehensive Python toolkit for time series machine learning, providing state-of-the-art algorithms and classical techniques for analyzing temporal data. Use this skill when working with sequential/temporal data across seven primary learning tasks: classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search.

When to Use This Skill

Apply this skill when:

• Classifying or predicting from time series data (e.g., ECG classification, activity recognition)
• Forecasting future values in temporal sequences (e.g., stock prices, energy demand)
• Detecting anomalies in sensor streams or operational data
• Clustering temporal patterns or discovering motifs
• Segmenting time series into meaningful regions (change point detection)
• Computing distances between time series using specialized metrics (DTW, MSM, ERP)
• Extracting features from temporal data using ROCKET, Catch22, TSFresh, or shapelets
• Building deep learning models for time series with specialized architectures

Core Capabilities