ROCKETClassifier¶
-
class
sktime.classification.shapelet_based.
ROCKETClassifier
(num_kernels=10000, ensemble=False, ensemble_size=25, random_state=None)[source]¶ Classifier wrapped for the ROCKET transformer using RidgeClassifierCV as the base classifier. Allows the creation of an ensemble of ROCKET classifiers to allow for generation of probabilities as the expense of scalability.
- Parameters
Notes
- @article{dempster_etal_2019,
author = {Dempster, Angus and Petitjean, Francois and Webb, Geoffrey I}, title = {ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels}, year = {2019}, journal = {arXiv:1910.13051}
}
Java version https://github.com/uea-machine-learning/tsml/blob/master/src/main/java/ tsml/classifiers/hybrids/ROCKETClassifier.java