How does this skill help with temporal data?

It provides domain-specific patterns for algorithm selection, such as using ROCKET for speed or InceptionTime for maximum accuracy in time series tasks.

Is Aeon compatible with my existing scikit-learn code?

Absolutely. Aeon is built with scikit-learn compatibility in mind, allowing you to use its transformers and estimators within standard ML pipelines.

Does this skill support deep learning for time series?

Yes, it provides implementation patterns for neural architectures like FCN, ResNet, and InceptionTime specifically tuned for temporal data.

What is the Aeon toolkit?

Aeon is a scikit-learn compatible Python library specifically designed for time series machine learning, including forecasting and classification.

Can I use Aeon for anomaly detection?

Yes, Aeon includes specialized detectors like STOMP to identify unusual patterns or outliers within temporal sequences.

Aeon Time Series ML

Name: Aeon Time Series ML
Author: pur3v4d3r

bypur3v4d3r

•

数据科学与机器学习

Performs specialized time series machine learning tasks including classification, forecasting, and anomaly detection using scikit-learn compatible APIs.

Aeon is a specialized Claude Code Skill designed for advanced temporal data analysis, providing access to state-of-the-art algorithms for complex time series tasks. It bridges the gap between raw sequential data and actionable insights by offering tools for classification, regression, clustering, and forecasting. Whether you are detecting anomalies in sensor data, predicting trends, or segmenting temporal patterns, this skill guides you through optimal algorithm selection and implementation using the aeon Python toolkit, ensuring seamless integration into existing machine learning pipelines through its scikit-learn compatible interface.

主要功能

011 GitHub stars

02Temporal Clustering and Similarity Search

03High-performance Feature Extraction (ROCKET, Catch22)

04Advanced Time Series Classification and Regression

05Specialized Temporal Distance Metrics like DTW

06Automated Anomaly Detection and Segmentation

使用场景

01Predicting future values in financial, IoT, or sensor datasets

02Detecting irregular patterns and outliers in sequential system logs

03Categorizing temporal sequences such as movement or medical data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add pur3v4d3r/pur3-pkb-codebase aeon

For use in Claude.ai and ChatGPT

Download Skill