.claude/skills/aeonRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentati...
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.claude/skills/aeonRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/aeonRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/aeonRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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clawhub install @yzk1121/aeonclawhub inspect @yzk1121/aeon --version 1.0.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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sha256:f64f7fc476ab53ef70a003b31831702e0214afc74181bd08e7a8bcc9272e0abcreferences/anomaly_detection.mdreferences/classification.mdreferences/clustering.mdreferences/datasets_benchmarking.mdreferences/distances.mdreferences/forecasting.mdreferences/networks.mdreferences/regression.mdreferences/segmentation.mdreferences/similarity_search.mdreferences/transformations.mdskill-card.mdSKILL.mdAeon 1.0.0 – Initial Release - Introduces a scikit-learn compatible Python toolkit for time series machine learning and analysis. - Supports classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search for univariate and multivariate time series. - Includes specialized distance metrics (e.g., DTW, EDR, ERP), deep learning architectures, and robust feature extraction/transformation tools. - Provides convenient dataset loading, benchmarking, and integration with traditional machine learning pipelines. - Documentation covers quick-start code and algorithm recommendations for each major task area.