Rocket¶
-
class
sktime.transformations.panel.rocket.
Rocket
(num_kernels=10000, normalise=True, random_state=None)[source]¶ ROCKET
RandOm Convolutional KErnel Transform
- @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}
}
- Parameters
num_kernels (int, number of random convolutional kernels (default 10,000)) –
normalise (boolean, whether or not to normalise the input time) –
per instance (default True) (series) –
random_state (int (ignored unless int due to compatability with Numba),) –
seed (optional (random) –
None) (default) –