Alterlab Aeon
Skill Verifiziert AktivPart of the AlterLab Academic Skills suite. This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
To empower users with specialized algorithms for complex time series machine learning tasks, going beyond standard ML approaches when working with temporal data.
Funktionen
- Time series classification with multiple algorithm categories
- Time series regression across various model types
- Forecasting with statistical and deep learning models
- Anomaly detection for series and collections
- Time series clustering with specialized distances
- Segmentation, similarity search, and feature extraction
Anwendungsfälle
- Classifying or predicting from temporal data sequences
- Detecting anomalies or change points in time-indexed observations
- Clustering similar time series patterns
- Forecasting future values based on historical data
Nicht-Ziele
- Performing standard machine learning tasks on non-temporal data
- Replacing general-purpose data analysis libraries
- Providing a graphical user interface for model training
Execution
- info:Pinned dependenciesWhile standard Python installation is indicated, explicit dependency pinning via a lockfile is not evident in the provided context.
Installation
npx skills add AlterLab-IEU/AlterLab-Academic-SkillsFührt das Vercel skills CLI (skills.sh) via npx aus — benötigt Node.js lokal und mindestens einen installierten skills-kompatiblen Agent (Claude Code, Cursor, Codex, …). Setzt voraus, dass das Repo dem agentskills.io-Format folgt.
Qualitätspunktzahl
VerifiziertVertrauenssignale
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