Aeon is a unified Python toolkit for time series machine learning, offering a vast array of algorithms for classification, regression, clustering, forecasting, and more. It bridges the gap between classical statistical techniques and modern deep learning, providing specialized tools for distance metrics (DTW), feature extraction (ROCKET), and temporal segmentation. Whether you are analyzing financial markets, interpreting sensor data, or building predictive maintenance systems, Aeon provides the standardized framework and state-of-the-art models needed to extract meaningful insights from sequential data.
주요 기능
01Specialized distance metrics like Dynamic Time Warping (DTW) and MSM
0216 GitHub stars
03Deep learning architectures optimized for sequential data like InceptionTime
04Advanced feature extraction using ROCKET, Catch22, and TSFresh
05Standardized workflows for temporal segmentation and anomaly detection
06Seven primary temporal learning tasks including classification and forecasting
