aeon
Overview
aeon provides a unified scikit-learn-compatible API for time series ML tasks: classification, regression, clustering, segmentation, annotation, similarity search, and transformation. It follows the same fit(X, y) / predict(X) pattern as scikit-learn, where X is a 3D NumPy array of shape (n_instances, n_channels, n_timepoints). aeon curates state-of-the-art algorithms from the time series literature — ROCKET and its variants (MiniROCKET, MultiROCKET) for classificatio
[Description truncada. Veja o README completo no GitHub.]