Annotation with aeon#

The annotation module is still in early development, and the documentation may reflect that.

Annotation covers a range of tasks, including

  • segmentation (splitting a series into segments)

  • anomaly/outlier detection (identifying “unusual” observations or intervals)

  • state modelling: creating a model to identify different underlying models

We are currently splitting segmentation and anomaly_detection into separate

Generated using nbsphinx. The Jupyter notebook can be found here.