Perform machine learning on time series data with a scikit-learn compatible API.
npx skills add https://github.com/sanand0/scientific-research --skill aeon-sanand0
Please help me install this Agent Skill. Skill: aeon Source: https://github.com/sanand0/scientific-research/tree/main/.claude/skills/aeon Command: npx skills add https://github.com/sanand0/scientific-research --skill aeon-sanand0
This Skill addresses the complexities of time series analysis by providing a comprehensive toolkit for machine learning tasks on temporal data, enabling accurate predictions, anomaly detection, and pattern recognition.
Use the aeon skill to train a RocketClassifier on the GunPoint dataset and evaluate its accuracy.
High-intent search queries and answers about installing and using this skill.
You can perform time series machine learning for forecasting and anomaly detection using a scikit-learn compatible API that applies specialized algorithms and distance metrics to univariate and multivariate temporal data.
Yes, time series classification and regression are supported through a scikit-learn compatible API, allowing you to predict categories or values based on temporal patterns in your data.
Clustering and similarity search are the best ways to group similar time series and find recurring patterns, leveraging specialized distance metrics designed for temporal data analysis.
Yes, it supports multivariate time series data, enabling you to analyze sensor data and perform regression to predict equipment failure based on historical temporal patterns.
You detect unusual deviations in financial time series data through anomaly detection algorithms, which identify abnormal patterns and potentially fraudulent transactions using specialized temporal distance metrics.
Specialized time series toolkits provide algorithms and distance metrics explicitly designed for temporal data, offering more accurate forecasting, classification, and anomaly detection than standard machine learning libraries.
ksmuvvaAnalyze datasets to identify distributions, correlations, and temporal patterns.
Arnutt-NConsolidate real-time HR-IMS audit events into a unified monitoring dashboard.
LeonChaoXBuild scikit-learn compatible time-series models for classification, regression, clustering, forecasting, and anomaly detection.
Lord1EgyptClassify, forecast, and cluster time series with scikit-learn compatible APIs.
