aeon

# Aeon Time Series Machine Learning ## Overview Aeon is a scikit-learn compatible Python toolkit for time series machine learning. It provides state-of-the-art algorithms for classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. ## When to Use This Skill Apply this skill when: - Classifying or predicting from time series data - Detecting anomalies or change points in temporal sequences - Clustering similar time series patterns - Forecasting future values - Finding repeated patterns (motifs) or unusual subsequences (discords) - Comparing time series with specialized distance metrics - Extracting features from temporal data ## Installation ```bash uv pip install aeon ``` ## Core Capabilities ### 1. Time Series Classification Categorize time series into predefined classes. See `references/classification.md` for complete algorithm catalog. **Quick Start:** ```python from aeon.classification.convolution_based import RocketClassifier from aeon.datasets import load_classification # Load data X_train, y_train = load_classification("GunPoint", split="train") X_test, y_test = load_classification("GunPoint", split="test") # Train classifier clf = RocketClassifier(n_kernels=10000) clf.fit(X_train, y_train) accuracy = clf.score(X_test, y_test) ``` **Algorithm Selection:** - **Speed + Performance**: `MiniRocketClassifier`, `Arsenal` - **Maximum Accuracy**: `HIVECOTEV2`, `InceptionTimeClassifier` - **Interpretability**: `Sh...