Catch22¶
-
class
sktime.transformations.panel.catch22_features.
Catch22
[source]¶ Canonical Time-series Characteristics (catch22)
- @article{lubba2019catch22,
title={catch22: CAnonical Time-series CHaracteristics}, author={Lubba, Carl H and Sethi, Sarab S and Knaute, Philip and
Schultz, Simon R and Fulcher, Ben D and Jones, Nick S},
journal={Data Mining and Knowledge Discovery}, volume={33}, number={6}, pages={1821–1852}, year={2019}, publisher={Springer}
}
Overview: Input n series length m Transforms series into the 22 catch22 features extracted from the hctsa toolbox.
Fulcher, B. D., & Jones, N. S. (2017). hctsa: A computational framework for automated time-series phenotyping using massive feature extraction. Cell systems, 5(5), 527-531.
Fulcher, B. D., Little, M. A., & Jones, N. S. (2013). Highly comparative time-series analysis: the empirical structure of time series and their methods. Journal of the Royal Society Interface, 10(83), 20130048.
catch22 package implementations: https://github.com/chlubba/catch22
For the Java version, see https://github.com/uea-machine-learning/tsml/blob/master/src/main/java /tsml/transformers/Catch22.java