anomaly_detection

Aeon provides anomaly detection methods for identifying unusual patterns in time series at both series and collection levels.

Skills
Scientific
1

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/anomaly-detection && curl -fsSL https://doutorai.pt/data/lib/skills__anomaly-detection.md -o .claude/skills/anomaly-detection/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Anomaly Detection

Aeon provides anomaly detection methods for identifying unusual patterns in time series at both series and collection levels.

## Collection Anomaly Detectors

Detect anomalous time series within a collection:

- `ClassificationAdapter` - Adapts classifiers for anomaly detection
  - Train on normal data, flag outliers during prediction
  - **Use when**: Have labeled normal data, want classification-based approach

- `OutlierDetectionAdapter` - Wraps sklearn outlier detectors
  - Works with IsolationForest, LOF, OneClassSVM
  - **Use when**: Want to use sklearn anomaly dete

- 🔒 Full content on the Pro plan (€7.99/month) -

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