aeon

仓库创建 2025年10月20日最近提交 5 小时前SkillHot 收录 20 天前

▸ 精选理由

适合处理时序数据的工程师，API 兼容 scikit-learn 便于集成。

这个 Skill 做什么

提供时序机器学习算法与工具，支持分类、回归、预测与异常检测。

Aeon 提供一套面向时序数据的机器学习工具箱，覆盖分类、回归、聚类、预测、异常检测等常见任务。需要处理时间序列、序列模式或时间索引观测值时就该用它，既支持单变量也支持多变量分析。特别之处是与 scikit-learn 兼容的 API，能方便把时序专用算法接入现有 ML 流程。

▸ 展开 SKILL.md 英文原文

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.

数据与抓取时序分析预测Python通用

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安装 / 使用

给你的 Agent 一句话（通用）

帮我安装这个 skill：https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/main/skills/aeon/SKILL.md

或 curl 直取 SKILL.md

curl -fsSL "https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/main/skills/aeon/SKILL.md"

SKILL.MD 节选查看完整文件 ↗

# Aeon Time Series Machine Learning

## Overview

Aeon is a scikit-learn compatible Python toolkit for time series machine learning ([aeon-toolkit.org](https://www.aeon-toolkit.org/)). It provides algorithms across classification, regression, clustering, forecasting, anomaly detection, segmentation, similarity search, distances, transformations, benchmarking, and visualization — with a consistent estimator API.

**Version note:** Examples target **aeon 1.x** (stable docs: v1.4.0, March 2026). The v1.0 release reworked forecasting and transformations; import paths differ from aeon 0.x/sktime-era code.

## When to Use This Skill

Apply this skill when:
- Classifying or predicting from time ser

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