Examples¶
This webpage contains the notebook examples for the aeon
library. The examples are
organised into categories based on module and functionality. The examples are designed
to provide a comprehensive overview of a module, functionality or a specific algorithm.
Classification¶

Overview of Time Series Classification (TSC)

Convolution based TSC

Deep learning based TSC

Dictionary based TSC

Distance based TSC

Feature based TSC

Hybrid TSC

Interval based TSC

Shapelet based TSC

Early TSC
Regression¶

Overview of Time Series Regression (TSR)
Clustering¶

Overview of Time Series Clustering (TSCL)

Partitional TSCL
Transformation¶

Overview of Transformations

Preprocessing time series

TSFresh transform

Catch22 transform

Rocket transform

MiniRocket transform

SAST transform

Signature method

Channel selection
Segmentation¶

Intro to segmentation

ClaSP segmentation

Hidalgo segmentation
Distances¶

Distance functions

Using aeon distances with scikit-learn
Similarity Search¶

Intro to similarity search

Deep dive into distance profiles

Benchmarking of similarity search speed-ups
Forecasting¶

Forecasting
Data Formatting and Loading¶

Data in aeon

How series are stored in file and loaded into memory

Example data sets

Loading data from the web

Unequal length series
Benchmarking¶

Benchmarking algorithms

Loading published results

Getting estimator reference results

Benchmarking extrinsic regression algorithms
Base¶

aeon
base classes

Series base classes
Visualisation¶

Plotting time series

Plotting results

Plotting for specific learning tasks