Transform-based estimators

linear_model.RocketClassifier and linear_model.RocketRegressor uses a random convolutional embedding to represent time series and fit a ridge regression model to the representation. For benchmark tasks, this transformation and estimator configuration often give state-of-the-art predictive performance. linear_model.HydraClassifier uses a similar convolutional transformation, but instead computes features based on groups of kernels.