MiniRocketMultivariate

class sktime.transformations.panel.rocket.MiniRocketMultivariate(num_features=10000, max_dilations_per_kernel=32, random_state=None)[source]

MINIROCKET (Multivariate)

MINImally RandOm Convolutional KErnel Transform

Multivariate

A provisional and naive extension of MINIROCKET to multivariate input. Use class MiniRocket for univariate input.

@article{dempster_etal_2020,

author = {Dempster, Angus and Schmidt, Daniel F and Webb, Geoffrey I}, title = {{MINIROCKET}: A Very Fast (Almost) Deterministic Transform for

Time Series Classification},

year = {2020}, journal = {arXiv:2012.08791}

}

Parameters
  • num_features (int, number of features (default 10,000)) –

  • max_dilations_per_kernel (int, maximum number of dilations per kernel (default 32)) –

  • random_state (int, random seed (optional, default None)) –

__init__(num_features=10000, max_dilations_per_kernel=32, random_state=None)[source]

Initialize self. See help(type(self)) for accurate signature.